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----aE;rheq;kgl isbn 978-92-64-23074-3 91 2015 09 1 P Reviews of n ati onal Policies for Education Education in i ndon esia Rising to th E Ch all E ng E Having made impressive progress in widening access to basic education, Indonesia must now consolidate these gains and develop an education system to support the needs of t he economy in its transition towards high-income status. This report highlights three main policy directions which, pursued together, would help Indonesia advance on the p ath towards stronger growth and more inclusive and sustainable development. The fi rst priority is to raise the quality of education and ensure that all learners acquire the s kills they need to succeed in life and work. The second goal is to widen participation, requiring a concerted effort to improve access for disadvantaged groups and expand provision beyond the basic level. The final challenge is to increase efficiency, with a more data - dr iven approach to resource allocation, better tailoring of provision to local needs, and stronger performance management. This report was financed by a grant provided by the Analytical and Capacity Development Partnership, a facility supported by the Government of Indonesia, the Government of Australia, through Australian Aid, the European Union (EU) and the Asian Development Bank. Additional in-kind support was provided by the Care Inspectorate, Scotland and the Is lamic Development Bank (IDB). Contents Executive summary Assessment and recommendations Chapter 1. The Indonesian education system in context Part 1. Education sub-sector opportunities and challenges Chapter 2. Early childhood education in Indonesia Chapter 3. Basic education in Indonesia Chapter 4. Senior secondary education in Indonesia Chapter 5. Initial vocational education and training in Indonesia Chapter 6. Tertiary education in Indonesia Part i i . C ross-cutting opportunities and challenges Chapter 7. Education for life, work and further learning in Indonesia Chapter 8. Teaching and educational leadership in Indonesia Chapter 9. Appropriate educational assessment in Indonesia Education in i ndonesia Rising to th E C hall E ng E Reviews of n ational Policies for Education 9HSTCQE*cdahed+ Reviews of n at ional Policies for Education Education in i ndon esia Rising to th E Ch all E ng E Consult this publication on line at http://dx.doi.org/10.1787/9789264230750-en. This work is published on the OECD iLibrary, which gathers all OECD books, periodicals and statistical databases. Visit www.oecd-ilibrary.org for more information. Reviews of National Policies for Education Education in Indonesia RISING TO THE CHALLENGE This work is published under the responsibility of the Secretary-General of the OECD. The opinions expressed and arguments employed herein do not necessarily reflect the official views of OECD member countries or those of ADB or its Board of Directors or the governments they represent. This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. The names of countries and territories used in this joint publication follow the practice of the OECD. ADB recognizes "Korea", "South Korea", or "Korea, Rep." as the Republic of Korea. ISBN 978-92-64-23074-3 (print) ISBN 978-92-64-23075-0 (PDF) Series: Reviews of National Policies for Education ISSN 1563-4914 (print) ISSN 1990-0198 (online) The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli settlements in the West Bank under the terms of international law. Photo credits: Cover © Anton Andronov/Fotolia.com. Corrigenda to OECD publications may be found on line at: www.oecd.org/about/publishing/corrigenda.htm. © OECD/ADB 2015 This work is available under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 IGO license (CC BY-NC-ND 3.0 IGO) http://creativecommons.org/licenses/by-nc-nd/3.0/igo/deed.en , you are free to copy and redistribute the material, provided the use is for non-commercial purposes, under the following conditions: Attribution - Please cite the work as follows: OECD, ADB (2015), Education in Indonesia: Rising to the Challenge, OECD Publishing. http://dx.doi.org/10.1787/9789264230750-en . Creative Commons Attribution CC BY-NC-ND 3.0 IGO.Third-party content - The OECD or the ADB do not necessarily own each component of the content contained within the work. Therefore, neither the OECD, nor the ADB warrant that the use of any third-party owned individual component or part contained in the work will not infringe on the rights of those third parties. The risk of claims resulting from such infringement rests solely with you. If you wish to re-use a component of the work, it is your responsibility to determine whether permission is needed for that re-use and to obtain permission from the copyright owner. Examples of components can include, but are not limited to, tables, figures, or images. All requests for commercial use or queries on rights and licenses should be addressed to OECD e-mail: rights@oecd.org Please cite this publication as: OECD/Asian Development Bank (2015), Education in Indonesia: Rising to the Challenge , OECD Publishing, Paris. http://dx.doi.org/10.1787/9789264230750-en REVIEWS OF NATIONAL POLICIES FOR EDUCATION: EDUCATION IN INDONESIA – RISING TO THE CHALLENGE © OECD/ADB 2015 FOREWORD – 3 Foreword Indonesia is one of the major economies of Southeast Asia and the government has set itself ambitious goals for its social and economic development, for which human capital development is crucial. Despite great regional divergences which limit access to quality education for many, Indonesia has made impressive progress on many fronts in the education sector since the 1997-98 Asian crisis such as coverage of basic education. Many challenges remain including expanding enrolment in secondary and tertiary education, increasing quality and relevance and making governance and finance more responsive. This report covers the full range of education from early childhood through to tertiary education, including aspects of non-formal education, across both the system of the Ministry of Education and Culture and the Islamic system of the Ministry of Religious Affairs. It uses information from the Country Background Report prepared by the Education Sector Analytical and Capacity Development Partnership (ACDP) at the request of the Indonesian authorities, as well as information supplied in the course of site visits to Jakarta, East Kalimantan, South Sulawesi, South Sumatra and West Java. This review offers an in-depth study and recommendations on the structure and scale of provision, student access and inclusion, student progression, teaching and learning, standards and accreditation, financing, and governance of the pre-primary, basic, secondary, vocational and higher education sectors. Other recommendations cover assessment, education and skills formation and the changing labour market, relevance, the transition from education to work, and adult learning. This review of education policy was undertaken within the framework of the programme of work of the OECD Directorate for Education and Skills. Grant financing for the review was provided by the Analytical and Capacity Development Partnership, a facility supported by the Government of Indonesia, the Government of Australia, through Australian Aid, the European Union (EU) and the Asian Development Bank (ADB). Additional in-kind support was provided by the Care Inspectorate, Scotland and the Islamic Development Bank (IDB). 412014042_003-332.indb 3 3/13/2015 6:27:49 PM REVIEWS OF NATIONAL POLICIES FOR EDUCATION: EDUCATION IN INDONESIA – RISING TO THE CHALLENGE © OECD/ADB 2015 4 – FOREWORD The team leaders were: Ian Whitman (OECD), former Head of the OECD Programme with Non-Member Economies and Yuri Belfali, Senior Analyst, Directorate for Education and Skills, OECD. Review team members were: Michael Gallagher (Australia), Rapporteur, Executive Director of the Group of Eight Universities in Australia; Abdimajid Moalin Abdullahi, Human Development Department, Islamic Development Bank; Angela Arnott (South Africa), Team Leader of Working Group on Education Management and Policy Support, Association for the Development of Education in Africa (ADEA); Annette Bruton (Scotland), Chief Executive, Care Inspectorate, Dundee, and former Chief Inspector of Education; Eduardo Cascallar (USA), Managing Director for Assessment Group International, and Guest Professor, Catholic University of Leuven; Mary Chamberlain (New Zealand), Consultant, Evaluation Associates, Auckland, former senior manager for curriculum and assessment, Ministry of Education; Torben Kornbech Rasmussen (Denmark), Educational Consultant, former Director for Higher Education, Ministry of Education, Copenhagen and former Chair, Education Policy Committee, OECD; Maria Slowey (Ireland), Director of Higher Education Research and Development, and former Vice President, Dublin City University; and, El iza beth Fordham, Senior Analyst for Global Relations, Directorate for Education and Skills, OECD. The team was assisted in Indonesia by Alan Prouty, John Virtue and Devi Suryani (ACDP) and by Louise Binns and Rachel Linden (OECD). The team would like to acknowledge the invaluable support and guidance provided by Mohammad Nuh, former Minister of Education and Culture; Ainun Na'im, Secretary General of the Ministry of Education and Culture; Taufik Hanafi, Minister's Advisor for Social and Economics of Education; and, Ananto Kusuma Seta, Head of the Bureau for Planning and International Affairs of the Ministry of Education and Culture. The team also wishes every success to Minister Anies Baswedan and his team for the implementation of the recommendations and providing the best education possible for all Indonesians. This volume is published on the responsibility of the Secretary-General of the OECD. Andreas Schleicher Director for Education and Skills OECD 412014042_003-332.indb 4 3/13/2015 6:27:49 PM REVIEWS OF NATIONAL POLICIES FOR EDUCATION: EDUCATION IN INDONESIA – RISING TO THE CHALLENGE © OECD/ADB 2015 TABLE OF CONTENTS – 5 Table of contents List of acronyms 23 Chapter 1. The Indonesian education system in context . . . . . . . . . . . . . . . . . . 51 Indonesia in the world ............................................ 52 Historical trajectory ............................................. 53 Government .................................................... 55 Population composition, distribution and growth ....................... 56 Human development ............................................. 58 Economy ...................................................... 60 Labour market .................................................. 64 Development future .............................................. 65 Education system ............................................... 69 Part A Education sub-sector opportunities and challenges Chapter 2. Early childhood education in Indonesia . . . . . . . . . . . . . . . . . . . . . 83 Specific contextual factors ........................................ 84 Structure and scale of provision .................................... 85 Student access and inclusion ....................................... 86 Student progression .............................................. 90 Teaching and learning ............................................ 91 Standards and accreditation ....................................... 91 Financing ...................................................... 92 Governance .................................................... 93 412014042_003-332.indb 5 3/13/2015 6:27:49 PM REVIEWS OF NATIONAL POLICIES FOR EDUCATION: EDUCATION IN INDONESIA – RISING TO THE CHALLENGE © OECD/ADB 2015 6 – TABLE OF CONTENTS Issues and options ............................................... 93 Observations and recommendations ................................. 94 Recommendations ............................................... 95 Chapter 3. Basic education in Indonesia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101 Specific contextual factors ........................................ 102 Structure and scale of provision .................................... 102 Student access and inclusion ....................................... 105 Student progression .............................................. 108 Teaching and learning ............................................ 111 Standards and accreditation ....................................... 114 Financing ...................................................... 115 Observations and recommendations ................................. 122 Recommendations ............................................... 124 Chapter 4. Senior secondary education in Indonesia . . . . . . . . . . . . . . . . . . . . 131 Specific contextual factors ........................................ 132 Structure and scale of provision .................................... 132 Student access and inclusion ....................................... 135 Student progression .............................................. 138 Teaching and learning ............................................ 139 Standards and accreditation ....................................... 142 Financing ...................................................... 143 Governance and quality assurance .................................. 149 Observations and recommendations ................................. 150 Recommendations ............................................... 151 Chapter 5. Initial vocational education and training in Indonesia . . . . . . . . . 155 Specific contextual factors ........................................ 156 Structure and scale of provision .................................... 157 Student access and inclusion ....................................... 160 Student progression .............................................. 163 Teaching and learning ............................................ 16 4 Standards and accreditation ........................................ 168 Financing ...................................................... 168 Governance .................................................... 174 Observations and recommendations ................................. 174 Recommendations ............................................... 176 Chapter 6. Tertiary education in Indonesia . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183 Specific contextual factors ........................................ 184 Structure and scale of provision .................................... 185 412014042_003-332.indb 6 3/13/2015 6:27:49 PM REVIEWS OF NATIONAL POLICIES FOR EDUCATION: EDUCATION IN INDONESIA – RISING TO THE CHALLENGE © OECD/ADB 2015 TABLE OF CONTENTS – 7 Student access and inclusion ....................................... 191 Student progression .............................................. 194 Teaching and learning ............................................ 195 Standards and accreditation ....................................... 203 Financing ...................................................... 205 Governance .................................................... 211 Observations and recommendations ................................. 213 Recommendations ............................................... 215 Part B Cross-cutting opportunities and challenges Chapter 7. Education for life, work and further learning in Indonesia ..... 225 The dual structure of the Indonesian economy ......................... 226 Education and skills formation and the changing labour market ........... 230 Labour market absorption of school leavers and graduates of tertiary education ........................................... . 2 32 Employer views about the relevance of schooling and the employability of graduates .................................................. 233 Improving transitions from education to work ......................... 237 Adult learning .................................................. 238 The challenges of a lifelong learning approach ......................... 242 Literacy programmes for adults ..................................... 246 Observations and recommendations ................................. 254 Recommendations ............................................... 255 Chapter 8. Teaching and educational leadership in Indonesia . . . . . . . . . . . . 261 The importance of teachers and leaders .............................. 262 Pre-service teacher education ...................................... 264 The accreditation of teachers ...................................... 267 Implications of the 2013 curriculum ................................. 268 The allocation of teachers ......................................... 271 Financing teacher costs ........................................... 272 The utilisation of teachers ......................................... 275 Teacher performance management .................................. 277 Continuing professional development of teachers and leaders ............. 278 Qualifications of higher education personnel .......................... 283 Qualifications of vocational education and training personnel ............ 286 Observations and recommendations ................................. 287 Recommendations ............................................... 288 412014042_003-332.indb 7 3/13/2015 6:27:49 PM REVIEWS OF NATIONAL POLICIES FOR EDUCATION: EDUCATION IN INDONESIA – RISING TO THE CHALLENGE © OECD/ADB 2015 8 – TABLE OF CONTENTS Chapter 9. Appropriate educational assessment in Indonesia . . . . . . . . . . . . . 293 The various purposes and forms of educational assessment .............. 294 The elements of a coherent national assessment framework .............. 295 The assessment of student learning in Indonesia ....................... 310 Observations and recommendations ................................. 320 Recommendations ............................................... 325 Figures Figure 1.1. In donesian population by ethnicity ........................ 56 Figure 2.1. Th e gap between supply and demand in early childhood education, Indonesia, 2013 ............................... 87 Figure 2.2. Gros s enrolment ratio in pre-primary education, by gender, Indonesia, 2004-12 ............................ 88 Figure 2.3. Sc hool attendance of pre-primary age children by socio-economic quintile, Indonesia, 2011 ................. 89 Figure 3.1. Gro wth of student enrolments/numbers of teachers, primary and junior secondary, 2004/05-2012/13 .............. 104 Figure 3.2. To tal net enrolment rate in primary and lower secondary schools, 2012 or latest year available ....................... 106 Figure 3.3. Pr imary out-of-school rate by per capita expenditure (PCE) quintiles ............................................. 109 Figure 3.4. Pe rcentage of children dropping out ....................... 110 Figure 3.5. Re lationship of minimum service standards to National Education Standards ................................... 115 Figure 4.1. Ge nder parity indices in senior secondary schooling .......... 136 Figure 5.1. Gros s enrolment rate of senior secondary learners 2005/06 to 2011/12 ............................................ 159 Figure 5.2. En rolment in SMKs as a percentage of total senior secondary enrolment, by province (2013) .............. 161 Figure 5.3. Ma in weaknesses of SMKs as perceived by employees ......... 166 Figure 6.1. Map o f government plans for institutional expansion .......... 190 Figure 6.2. Gros s enrolment rates across provinces, 2011/12 .............. 194 Figure 6.3. Re search and development expenditures in ASEAN countries, 2002 and latest available years ............................ 198 Figure 6.4. Dis tribution of researchers in the higher education sector by field of science, 2011 (or most recent year available) ... 201 Figure 6.5. Pub lic and private spending on tertiary education as percentage of total GDP ...................... 207 Figure 6 .6. So urce of financing of tertiary education ................... 207 Figure 6.7. Hi gher education budget by directorate and source of financing ........................................... 208 Figure 6.8. St udent financial aid as a share of total public financing of tertiary education ...................... 211 412014042_003-332.indb 8 3/13/2015 6:27:49 PM https://www.adb.org/sites/default/files/publication/156821/education-indonesia-rising-challenge

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----TC;fdez;kwd Measuring the consumption value of higher education Annette Alstadsæter ∗ Statistics Norway † NHH Discussion Paper SAM 04/2004 Abstract The consumption value of education is an important, but rather ignored factor behind the individual's educational choice. This paper suggests a method for measuring the consumption value of education in a compensating di ff erentials framework when the ability bias is corrected for. As an example, the willingness to pay for the consumption value of attending teacher's college during the 1960's is estimated on unique Norwegian panel data. The ex-ante price of the consumption value of teacher's college is estimated to be 38 % of the present value of the individual's potential lifetime income. The ex-post price of this consumption value is for the same individuals estimated to be about 46 % of the present value of the potential lifetime income. JEL-classi fi cations: J24; J31; J33; I21; H89. ∗ Acknowledgements: Jarle Møen provided me with the idea in the fi rst place, and I thank him and my advisor Professor Agnar Sandmo for inte resting discussions and help along the way. Professor Kjell G. Salvanes, Knut R. Wangen, Erik Sørensen, and seminar participants at the Norwegian School of Economics and Business Admi nistration provided most appreciated comments. Grant 140731/510 from the Research Council of Norway is gratefully acknowledged. † Research Department, P.b. 8131 Dep., N-0033 Oslo. E-mail: aal@ssb.no 1 1Introduction. Higher education can be viewed both as a consumption good for which the individual is willing to pay, and as an investment alternative that yields higher wages later in life. The factors determining the individual's educational choice can be divided into three groups: preferences, returns, and costs. The costs of attending higher education are e ff ort, time and money, both direct monetary outlays and forgone labor income 1 . The return to higher education comes both as pecuniary and non-pecuniary returns. As higher education increases the skill level, and thus also the productivity of the individual, he is paid a higher wage in the labor market. Also, higher skilled individuals qualify for di ff erent types of jobs than lower skilled individuals. High- skilled jobs often o ff er various fringe bene fi ts, which are not paid as money, but which are all equivalent to a wage increase. Fringe bene fi ts 2 and the wage premium constitute the pecuniary return to higher education. The individual speci fi cnon- pecuniary return to higher education is the intrinsic or the consumption value of education , which is de fi ned in section 3. This paper suggests a method for measuring the consumption value of education in a compensating di ff erentials framework when the ability bias is corrected for. The identi fi cation strategy is to compare two individuals who attended teacher's college and business school respectively in Norway during the 1960's. In this period these two types of education required the same minimum average grade level from high school for admittance, but they generated very di ff erent wage returns. The wage return from attending business school in this period is used as a benchmark for the potential wage return of the teacher's college graduates. Using the Norwegian 1970 census, cross section wage pro fi les are estimated for those business school and teacher's college graduates with di ff erent levels of working experience. These wage pro fi les are interpreted as the expected future wages of the individuals attending business school and teacher's college during the 1960's. The ex-ante price of the consumption value of teacher's college is estimated to be 38 % of the present value of the individual's potential lifetime income. Using unique Norwegian panel data the actual wage pro fi les for the individuals acquiring their education during the 1960's are estimated. The ex-post price of this consumption value of teacher's college turned 1 Costs are disregarded in the following analysis. 2 Fringe bene fi ts are here de fi ned to be bene fi ts with a clear monetary equivalent, such as a company car, free newspaper subscrip tions, and a company health insurance. 2 Bishop,J.(1994):Schooling,learningandworkerproductivity.InRitaAsplund (ed.): HumanCapitalCreationinanEconomicPerspective .Physica-Verlag. Bound, J. and G. Solon (1999): Double trouble: on the value of twins-based es- timation of the return to schooling. Economics of Education Review 18(2) , 169-82. Bowles, S. (1972): Schooling and inequality from generation to generation. Journal of Political Economy 80, 219-251. Card, D. (1999): The causal e ff ect of education on earnings. Handbook of Labor Economics , volume 3, 1801-1863. Chiswick, B.R. (2003): Jacob Mincer, experience and the distribution of earnings. IZA Discussion Paper No. 847. Croix, D. de la (2001): Growth dynamics and educational spending: The role of inherited tastes and abilities. European Economic Review 45 , 1415-38. Dolton, P.J., G.H. Makepeace, and W. van der Klaauw (1989): Occupational choice and earnings determination: The role of sample selection and non-pecuniary factors. Oxford Economic Papers 41 , 573-594. Duncan, G.J. (1976): Earnings functions and nonpecuniary bene fi ts. Journal of Human Resources 11(4) , 462-483. Gullason, E.T. (1989): The consumption value of schooling. An empirical estimate of one aspect. Journal of Human Resources 24(2 ), 287-98. Hægeland, T., T.J. Klette, and K.G. Salvanes (1999): Declining returns to educa- tion in Norway? Comparing estimates across cohorts, sectors and over time. Scandinavian Journal of Economics 101 , 555-576. Judd, K. (2001): The impact of tax reform in modern dynamic economies. In K.A. Hasset and R.G. Hubbard: Transition costs of fundamental tax reform. The AEI Press, Washington D.C. Keane, M.P. and K.I. Wolpin (1997): The career decision of young men. Journal of Political Economy 105(3) , 473-522. 28 Klette, T.J. and J. Møen (2002): Vitenskapelig forskning og næringsutvikling. In E. Hope (ed.): Næringspolitikk for en ny økonomi. Fagbokforlaget. Kodde, D.A. and J.M.M. Ritzen (1984): Integrating consumption and investment motivesinaneoclassicalmodelofdemandforeducation. Kyklos 37(4) , 598- 605. Lazear, E. (1977): Education, consumption or production? Journal of Political Economy 85(3) , 569-597. Lleras-Muney, A. (2002): The relationship between education and adult mortality in the United States. NBER Working Paper No. 8986. Lochner, L. and E. Moretti (2001): The e ff ects of education on crime: Evidence from prison inmates, arrests, and self-reports. NBER Working Paper No. 8605. Lucas, R.E. (1988): On the mechanics of economic development. Journal of Mon- etary Economics 22 ,3-42. Marshall, A. (1920): Principles of economics, 8th ed. Macmillian, London. Mincer, J. (1974): Schooling, experience and earnings. Columbia University Press, New York. Milligan, K., E. Moretti and P. Oreopoulos (2003): Does education improve citi- zenship? Evidence from the U.S. and U.K. NBER Working Paper No. 9584. Nerdrum, L. (1999): The economics of human capital. A theoretical analysis illus- trated empirically by Norwegian data. Scandinavian University Press. Oosterbeek, H. and H.V. Ophem (2000): Schooling choices: Preferences, discount rates, and rates of return. Empirical Economics 25 , 15-34. Oosterbeek, H. and D. Webbink (1995): Enrolment in higher education in the Netherlands. De Economist 143 , 367-380. Oreopoulos, P. (2003): Do dropouts drop out too soon? International evidence from changes in shool-leaving laws. INBER Working Paper No. 10155. Persson, M. and A. Sandmo (2002): Taxation and tournaments. NHH Discussion Paper No. 10. 29 Romer, P.M. (1990): Endogenous technological change. Journal of Political Econ- omy 98 , 71-102. Rosen, S. (1986): The theory of equalizing di ff erences. In O. Ashenfelter and R. Layard (eds.): Handbook of Labour Economics, Vol. 1, 641-692. Sandmo, A. (1983): Ex post welfare economics and the theory of merit goods. Economica 50 , 19-33. Schaafsma, J. (1976): The consumption and investment aspects of the demand for education. Journal of Human Resources 11(2) ,233-42. Schultz, T.W. (1960): Capital formation by education. Journal of Political Economy 68 , 571-582. Scitovsky, T. (1976): The joyless economy. Oxford University Press. Scott, A. (2001): Eliciting GP's preferences for pecuniary and non-pecuniary job characteristics. Journal of Health Economics 20 , 329-347. Smith, A. (1776): The Wealth of Nations . Reprint 1999, Penguin Classics, London. Stern, S. (1999): Do scientists pay to be scientists?, NBER Working Paper No. 7410 . Wangen, K.R. (2003): En konsuments kvaler ved vanedannelse og nåtidsskjevhet. Økonomisk Forum 57(4). Ward, M.E. and P.J. Sloane (2000): Non-pecuniary advantages versus pecuniary disadvantages; job satisfaction among male and female academics in Scottish universities. Scottish Journal of Political Economy 47(3) , 273-303. Weisbrod, B.A. (1962): Education and investment in human capital. Journal of Political Economy 70(5) , Supplement, October, Part II, Investment in Human Beings, 106-123. Willis, R.J. and S. Rosen (1979): Education and self-selection, Journal of Political Economy 87(5) ,7-36. 30 7 Appendix 7.1 Documentation of admission requirements. It is a general perception that during the 1960's it was just as di ffi cult to be admitted to teacher's college as to business school in Norway. Aarrestad (1969) stated 24 on page 69: " The demand for teacher's college education far exceeds the supply. The mini- mum requirement for admission has the last years been above 60 grade points (from high school)." Also,onpage75hestates: "The admission requirements for the Norwegian School of Economics and Business Administration are not quite clear. With maximum awarded additional points, it is today possible to be admitted with about 60 grade points from high school." It proved di ffi cult to fi nd formal evidence for these admittance requirements. In the archives of the Norwegian School of Economics and Business Administration 25 and of the Teacher's Council 26 I found indications that the last student admitted to teacher's college and to business school had about the same grade levels, but no o ffi cial statistics are available on this issue. Another problem with comparing the two is that the di ff erent institutions had di ff erent regulations for giving so-called additional points to the applicants, such that their total competitive grade score varied from their high school graduation grade score. Additional points were awarded for previous education and work experience, and for extracurricular activities, but the praxis varied among the institutions. 7.2 Data The 1970 Household Censu s covers all Norwegian households and individuals (identi fi ed by their personal identi fi cation number). The census contains information on among other things on gross income, sex, age, marital status, type and level of education, and personal income. 24 The following quotations are translated from Norwegian. 25 For a long time this was the only business school in Norway, but at the and of the 1960's another one was founded as well. 26 From about 1967 admission to all teacher's colleges in Norway was organized centrally by the Teacher's Council (Lærerutdanningsrådet). Befo re that time the admission was organized by each school, and the requirements varied from school to school. 31 The Earnings Register covers all Norwegian adults and contains gross indi- vidual earnings based on pension rights earned over the period 1967-2000. The Core Administrative Register contains information on all Norwegians in the years 1986-2000. It has among many other variables age, sex, marital status, type and length of highest completed education, graduation date. The income history of the individuals can be extended by including the earnings history of the individuals from the earnings register. The cleaned sample for calculation of the ex-ante wage pro fi les. Individ- uals with missing observations on either educational type or income are removed from the sample. Beyond that all individuals who graduated from teacher's college or business school in the period 1941-1970 are included in the sample, in order to estimate the full income pro fi le for 0-29 years of working experience in 1970 for the two groups. Even individuals who for some reason were not active in the labor force are included. When a young person makes his educational choice, the future wage return is uncertain for many reasons, and one of them is that he might become ill and be unable to work. If one type of education leads to more stressful jobs than the other, more individuals will become ill, and the wage level while still at work needs to be higher in order to compensate for this. Hence the income of those not currently in the labor force in 1970, but with potential labor experience between 0 and 29 years, needs to be included to get the full picture. The full sample of males in the 1970 census counts 2269 business school graduates and 7089 teacher's college graduates. The cleaned sample for calculation of the ex-post wage pro fi les. The fi rst challenge was to identify who acquired the two educational types during the 1960's, as well as to fi nd their potential working experience. In principle, I could use the graduation date in the core administrative register to establish when the individual most likely started working, and thus fi nd the potential working experience in years. Unfortunately, all who completed their education prior to November 1970 are listed with this as their graduation date. Therefore I use their date of birth, add 19 years (to complete high-school) to fi nd the time when they most likely started their higher education, and add another 2 or 3 years to fi nd graduation date. Finally I added another year for the mandatory military service (some did this before and others 32 after their education, but most did it before they started working) to fi nd when they most likely started their professional careers. This procedure identi fi ed the individuals acquiring their education during the 1960's, as well as their entry into the labor force. By merging the core administrative data with the earnings register, I got the gross income series for these individuals from 1967 to 2000. From this the earnings history of the individuals from 0 to 29 years of potential experience was extracted. When the panel was cleaned for entries missing information on annual earnings, the fi nal sample consisted of 465 business school graduates with a total of 13110 observation entries, and 1805 teacher's college graduates with a total of 50153 ob- servation entries. 33 Figure 7: Results, ordinary least squares regression, teachers, 1970-census. Source | SS df MS Number of obs = 7089 -------------+------------------------------ F( 2, 7086) = 1380.21 Model | 678.480338 2 339.240169 Prob > F = 0.0000 Residual | 1741.66185 7086 .245789141 R-squared = 0.2803 -------------+------------------------------ Adj R-squared = 0.2801 Total | 2420.14219 7088 .341442183 Root MSE = .49577 ------------------------------------------------------------------------------ lnW | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- pexp | .0958324 .0026617 36.00 0.000 .0906146 .1010501 sqpexp | -.0024115 .0001008 -23.93 0.000 -.002609 -.002214 _cons | 9.796686 .0126202 776.27 0.000 9.771947 9.821426 ------------------------------------------------------------------------------ Figure 8: Results, ordinary least squares regression, business school graduates, 1970- census. Source | SS df MS Number of obs = 2269 -------------+------------------------------ F( 2, 2266) = 540.54 Model | 263.700785 2 131.850392 Prob > F = 0.0000 Residual | 552.728836 2266 .243922699 R-squared = 0.3230 -------------+------------------------------ Adj R-squared = 0.3224 Total | 816.429621 2268 .359977787 Root MSE = .49389 ------------------------------------------------------------------------------ lnW | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- pexp | .0999329 .0043521 22.96 0.000 .0913984 .1084674 sqpexp | -.0025426 .0001625 -15.64 0.000 -.0028613 -.0022238 _cons | 10.22356 .0222558 459.37 0.000 10.17992 10.26721 ------------------------------------------------------------------------------ Figure 9: Results, random e ff ects regression, teachers, earnings register. Random-effects GLS regression Number of obs = 50153 Group variable (i) : pid Number of groups = 1805 R-sq: within = 0.2680 Obs per group: min = 1 between = 0.0206 avg = 27.8 overall = 0.2021 max = 33 Random effects u_i ~ Gaussian Wald chi2(2) = 17749.49 corr(u_i, X) = 0 (assumed) Prob > chi2 = 0.0000 ------------------------------------------------------------------------------ lnW | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- pexp | .0783991 .0007973 98.34 0.000 .0768365 .0799617 sqpexp | -.0018876 .0000258 -73.24 0.000 -.0019382 -.0018371 _cons | 9.94585 .007921 1255.63 0.000 9.930326 9.961375 -------------+---------------------------------------------------------------- sigma_u | .25123219 sigma_e | .357633 rho | .33042589 (fraction of variance due to u_i) ------------------------------------------------------------------------------ 34 Figure 10: Results, random e ff ects regression, business school graduates, earnings register. Random-effects GLS regression Number of obs = 13110 Group variable (i) : pid Number of groups = 465 R-sq: within = 0.3778 Obs per group: min = 13 between = 0.0593 avg = 28.2 overall = 0.3069 max = 30 Random effects u_i ~ Gaussian Wald chi2(2) = 7694.71 corr(u_i, X) = 0 (assumed) Prob > chi2 = 0.0000 ------------------------------------------------------------------------------ lnW | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- pexp | .1192716 .0020061 59.45 0.000 .1153397 .1232035 sqpexp | -.0027991 .0000687 -40.75 0.000 -.0029337 -.0026645 _cons | 10.17645 .0185267 549.28 0.000 10.14014 10.21276 -------------+---------------------------------------------------------------- sigma_u | .29900569 sigma_e | .4930236 rho | .26890429 (fraction of variance due to u_i) ------------------------------------------------------------------------------ 35 http://repec.org/esAUSM04/up.17298.1075484224

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----8qc4PwAB;MdkDWa _____________________________________________________________________________________________________ *Corresponding author: E - mail: mtmille@uark.edu ; Journal of Education, Society and Behavioural Science 33(9): 14 - 22, 2020 ; Article no.JESBS .60961 ISSN: 2456 - 981X (Past name: British Journal of Education, Society & Behavioural Science, Past ISSN: 2278 - 0998) Intentional Interactions and Identity Development: Perspectives on Education? Michael T. Miller 1* and David M. Deggs 2 1 University of Arkansas , United States . 2 Southern Methodist University , United States. Authors' contributions This work is a continuation of the collaboration between both authors. Both authors conceptualized the community expectancy theory and jointly designed and executed the study. Similarly, they jointly wrote the manuscript, dividing the work equally. Both authors read and approved the final manuscript. Article Information DOI: 10.9734/ JESBS /20 20 / v33i930254 Editor(s): (1) Dr. Oyedunni Arulogun, University of Ibadan, Nigeria. (2) Dr. Durdane Bayram Jacobs, Radboud University, Netherlands. (3) Dr. Prince Nwachukwu Ololube, Ignatius Ajuru University of Education, Nigeria. Reviewers: (1) Atanda, Luqman Ayanlola, Federal University Otuoke, Nigeria. (2) Nistor Cristina Mihaela, Politehnica University of Bucharest, Romania. (3) Puja Dulloo, Bhaikaka University, India. Complete Peer review History: http://www.sdiarticle4.com/review - history/ 60961 Received 06 July 2020 Accepted 11 September 2020 Published 26 September 20 20 ABSTRACT This study utilized self - report survey data to explore formal, intentional interactions measurably impacting an individual's identity among three groups in the mid - western United States. Data were collected across three levels: individual college - a ged students in late - adolescence or early - adulthood, parents of college students, and adult community citizens. The mean scores of all three groups were compared using ANOVA and revealed no significant difference be tween the three groups, thus suggesting that students, parents, and community members agree that their direct words influence the actions of others. The results of the study illustrate both the impact and influence of parents on children , that it is diffic ult to measure inter - relationship between parent and child , and the interactions between these groups can be difficult to measure , suggest ing a complicated relationship. However, the study does underscore the profound impact that people around children hav e on identity development and ultimately student actions. Original Research Article Miller and Deggs ; JESBS , 33(9): 14 - 22, 2020 ; Article no. JESBS . 60961 15 Keywords: Intentional interactions ; identity development ; ANOVA ; college students . 1. INTRODUCTION How and why individuals make decisions about their own lives has been frequently studied . Some of this research has been grounded in economics, including opportunity cost where decisions are balanced against different types of perceived gains, and some of this research has been grounded in disciplines like sociology where social exchange theory places decision emphasis on what a person benefits from taking some sort of action. Other research even explores how individuals face and overcome crisis, while still yet others explore social and physical interrelationships . But, despite this strong foundation of research, decisions about postsecondary enrollment have remained difficult to predict and anticipate as they relate to individual decision making [3 ]. Postsecondary enrollment takes on many forms and includes a growing array of institutional choices. These include local, low - cost community colleges, expensive private national universities, convenience based affordable (and not so affordable) online p roviders, and among many others, including institutions that cater to specific jobs and careers. Most of the existing body of research has focused on traditional aged prospective students making decisions about attending a traditional four - year university, although research on community college enrollment and adult student enrollment has also been cyclically popular. Part of the reason the traditional aged student college - going decision - making is so important is that it reflects a critical time in an indiv idual's life where decisions are made to chart a future of work and life. Individuals maturing out of mandated public education have to make choices not only about who they are, but what they will do with themselves personally and professionally. For some, decisions are made by default due to lack of ability or lack of financial resources, and for others, decisions are made and un - made over a prolonged period of time. For those individuals who ultimately decide upon pursuing a college education, the benefi ts can be significant. In addition to greater lifetime earning potential, those with a college education report a higher satisfaction with their quality of life, they report fewer addiction issues and fewer health concerns, and are the most likely to be en gaged in their communities and make philanthropic contributions. A major part of the difficulty in identifying why individuals make their college - going decisions is that there are multiple variables working and interacting with, to, for, and on an indi vidual as life choices are being made. Additionally, all of these social interactions carry a different weight, and these pressures can be fluid or stable, meaning that a pressure from a peer group, for example, might exert tremendous influence from year - t o - year. Similarly, the influences of community level variables can be exerted differently based on the size of the community, the intensive nature of community interactions, and even pressures from within a family unit to accept or deny the pressures being exerted . An emerging field - theory to explain the variety of pressures placed on an individual is that of community expectancy. The theory holds that community - level variables interact in knowing and unknowing ways on an individual to guide actions or create expectations. These expectations can be related to macro - level variables as well as very personal, micro - level variables. The idea of verifying this theory is at the center of the current study, as previous work detailed later, has identified that unintentional actions can influence the behavior of others. These unintentional interactions can also be critical in identifying the perceptions of the collegiate experience as students arrive on campus , and in turn, can frame a student's perception o f what college is or should be, impacting retention and satisfaction . The purpose for conducting the current study was to explore how formal, intentional interactions measurably impact an individual's identity, including perceptions about formal educa tion. Although the questions of intentionality and community expectancy are broadly considered here, the research question is situated specifically in how intentional actions and behaviors influence an individual's decision to enroll in postsecondary educa tion. 2. BACKGROUND OF THE STUDY How an individual makes life - changing decisions is difficult to understand . Multiple theories incorporate hundreds of variables, ranging from Miller and Deggs ; JESBS , 33(9): 14 - 22, 2020 ; Article no. JESBS . 60961 16 personal morals and values to those held by others that are expressed onto them, such as immediate and extended family members . Some variation of this range of decision making influencers has been identified in college going models that largely inc orporate variables such as family education levels, cost and resource availability, and career outlook. These models, however, are often limited in their view of what constitutes 'higher education,' and what other social capital variables might have influe nce on an individual. A major part of the difficulty identifying why individuals, particularly traditional aged students in late - adolesc ence (approximately aged 17 - 19) make the decision to attend postsecondary education is the range of postsecondary education providers. These include trade and vocational institutes, community colleges, proprietary training colleges, and a wide variety of four - year institutions, includin g religiously affiliated institutions, comprehensive regional universities, and research universities. Why a student decides to attend a strongly adherent religious institution, for example, might be very different from a student who decides on attending a research - oriented four - year university, although these differences are often not considered in discussions of decision - making about attending a 'four - year' university . What most college - going models do have in common is some element of either self - d etermination or external pressure to decide to attend 'college.' What these models do not account for, however, is the creation of internalization of this self - determination or external pressure which is partly what has led to the creation of the field - the ory of community expectancy. As Kahn noted, "e xperience can edit identity" ( ¶ 1). Community expectancy as a theory is in the process of being tested and validated through practical application and study, resulting in its reference as a 'field - theory.' As a predictive model, it holds that external pressures exert themselves onto an individual and that the combination of external pressures and the environment of the individual combine to compose a disposition about taking an action, such as attending som e form of postsecondary education [ 12, 13]. Early modeling on community expectancy included five external variables that exert influence over an individual's behavior decisions, including formal education bodies, civic agencies, informal associations, reli gious affiliations, and home life . Formal education bodies are the schools and school - related opportunities and activities that are available and frequently required of youth. The impact of these bodies on an individual often begin with the quality o f the education provided to the individual, and this is in turn can be impacted by a wide variety of variables. Teacher pay, for example, might determine whether the school is able to attract and retain high quality teachers. School funding can also impact the types of activities and resources available to students, including technology, conducive learning environments, library resources, and even the types of extra - curricular activities that can be offered. Resources, including those that are financial and those that are social capital based, can exert pressure on a young person to make certain types of decisions, such as pursuing postsecondary education. Similar to formal education bodies, civic agencies consist of the formal bodies that support the opera tion and community infrastructure of a given location. These bodies might include a chamber of commerce, a philanthropic community, a public library and other public services. These types of organizations can manifest themselves unto an individual's identi ty formation in both what they can provide, such as exposure to differentiated thinking, and what they can structure, such as educational pipeline programs, trade and occupational training experiences and internships, etc. These bodies have a less direct i nteraction with a young person as compared to a formal education body, yet they are clearly present and capable of interacting and expressing thoughts and ideas upon an individual. Informal associations are those encounters that have the potential to impa ct how individuals see themselves. These associations might be expressed onto an individual through an interaction such as a neighbor expressing excitement of an alma mater's athletic success, an employment market that does not value education or labor mig ration, and even how individuals in the community express a value. These associations are primarily informal in that the individual makes no conscious decision as to whether or not stimuli from these associations are expressed upon the individual. The indi vidual Miller and Deggs ; JESBS , 33(9): 14 - 22, 2020 ; Article no. JESBS . 60961 17 does have the ability to mitigate these associations yet, they can and perhaps are present in ways that may not always be acknowledged. Religious beliefs and the formal bodies for the expression and practice of religion can also influence how an in dividual creates a self - identity. Religion can be a powerful force in how a person constructs identity, as issues such as self - determination can be critical in determining a work ethic, world outlook, feelings of sympathy and empathy, and even the ability to question. Some faiths have a stringent perspective on not questioning parents or faith, but only accepting such . With that type of disposition, an individual is less likely to ask questions about their own feelings or might be less likely to explor e a life that could be different from parents or a family. And, there has been perhaps the most research conducted on the idea that family expectations and behaviors are transferred onto an individual and that those expectations are then realized . These expectations might be to further an education by going or college, or conversely, immediately getting a technical job and earning a salary immediately rather than pursuing additional education. Family influences can even be expressed as an interest i n not working or pursuing an education. As an individual often relies on a family structure from infancy, these individuals are commonly thought to have the greatest influence on the type of choices an individual makes. As a series of interrelated associa tions and interactions, each of the variable groupings identified in community expectancy can play an important role in an individual's identity formation and educational decision. The field - theory of community expectancy can be divided into four separate postulates, including four if - then statements. IF: informal interactions measurably impact an IF: For mal, intentional interactions individual's identity IF: An individual 's heredity dispositions (including perceptions about IF: Immediate interactions with the environment formal education) THEN: An individual's community can measurably impact an individual, including perceptions about formal education and postsecondary attendance. In an effort to explore the first of the postulates, Mill er studied self - report perceptions of the power of informal interactions. Using the topic of mental health awareness and pursuit of treatment, they found that individual's reported, as did community members and family members, that informal interactio ns can indeed result in an individual making a decision about either using or not using a mental health treatment option. 3. RESEARCH METHODS In an effort to explore formal, intentional interactions measurably impacting an individual's identity, the curr ent study made use of self - report survey data collected specifically for the study. Survey research of this nature has several key limitations, perhaps most importantly that it relies on an individual to critically think, recall, and report the reason for taking some specific action. Thoughts and memories such as these can be difficult, at best, to capture and report, and as a result, the current study results should be referenced with caution. Data collection occurred across three levels: individual college - aged students (age range 18 - 24) in late - adolescents or early - adulthood, parents of college students, and adult community citizens. Data were collected using survey research methods and a combination of purposeful and convenience sampling. Survey i nstruments used in the data collection were adaptations and modifications of those used to explore unintentional interactions . The instruments were based on the work of sociologist James McCroskey [ 19,20, 21]. The first instrument was designed to colle ct perceptions of current college students regarding how their behaviors are influenced by other people, particularly in environments with formal, planned, or structured communication. This survey consisted of ten items, with the first eight being s pecifically taken from the content of community expectancy theory [ 22,23,24, 25]. The last two items on the survey specifically related to the individual's decision to attend college. The college student survey used a Likert - type scale of 1 - to - 5, with 1=S trongly Disagree with the item progressing to 5=Strongly Agree with the item. With ten items and no reverse item coding, Miller and Deggs ; JESBS , 33(9): 14 - 22, 2020 ; Article no. JESBS . 60961 18 the total possible score for the instrument would have a range of 10 to 50, with a hypothetical mid - point, then, of 30. As with McC roskey's previous research, using the hypothetical mid - point, any score over 30 would indicate a high level of intentional influence by the 'community,' and scores below 30 would indicate low levels of community influence. The second survey was designe d in a similar manner to the college student survey, although survey items were revised to reflect the respondent's position as a college student parent, a parent of a young - adult not in college, and adult community members. These items were particularly i nfluenced by the work on family influence in community expectancy, namely the work of Tolliver and Tolliver, Kacirek, and Miller . As the instrument did not include the survey items about attending college, the result was that only eight items wer e included on this survey. Again, with no reverse coding, there was a total possible score range of 10 to 40, and a hypothetical mid - point of 25. In a series of six pilot tests with different populations between 2017 and 2020, the survey instrument had a Cronbach alpha level of .8326 for students and .6900 for non - students. In the 2019 administration of the survey modified for mental health assistance, the survey had a Cronbach alpha level of .8221. These levels of reliability, along with the exploratory n ature of the study, indicated that the instrument was appropriate for use. The college student sample used in the study consisted of all first - year students living on one of three college campuses in the mid - western United States in February of 2020. The population of this student sample was approximately 4,700. These institution s were comprehensive in nature and focused primarily on undergraduate instruction, although two of the three did offer a range of doctoral programs. The common characteristic for these institutions was that over 80% of their first - year classes came from wi thin their home states, meaning that they had a regional focus and that students generally were staying somewhat close to their hometowns. As a cautionary note, the survey was distributed electronically approximately two weeks before many campuses began to seriously consider, and ultimately move their primary instruction to online formats. Potential respondents received an introductory email informing them that they would be receiving the survey and asked for their participation. In the distribution of the survey, each included an introductory email along with a link to the survey. The instruments were also distributed in collaboration with the university's housing offices, and the amount of email being sent from these offices regarding the COVID - 19 pandemic was increasing dramatically and might have impacted student participation. The non - student sample included a listing of 2,200 parents of those 4,700 students living in residence halls. The listing was obtained from each of the three university's parent's associations, which were memberships of paid individuals to participate in a range of specialized programs for the parents of first - year students. An additional sample of adult community citizens was included in the study, distributing the survey through three public library informational lists. These lists were online communities of library card holders in the communities of the three universities, and combined, they had a distribution of over 26,000 unique email addresses. The research protocol for the study was approved by the host institution's Institutional Review Board, and that each individual who received the survey had to indicate knowledge of the study and agree to participation. Additionally, the research protocol was approved at each of the t hree participating universities, as well as the library advisory board's special committees on communication and outreach. The instrument was distributed to all members of the sample in early - February 2020, and reminder emails were sent three times to non - respondents. Using the limited geographical area presents several limitations to the study, including an caution about generalizing results beyond these mid - western US communities. Access and use of technology similarly may reflect a more educated and ade pt group of participants, limiting findings to not include those who might be less able to access technology. 4. FINDINGS AND DATA ANALYSIS 4.1 Students Following the three rounds of distribution, a total of 282 college student surveys were returned from the 4,700 that were distributed. This 6% survey response rate was deemed acceptable for Miller and Deggs ; JESBS , 33(9): 14 - 22, 2020 ; Article no. JESBS . 60961 19 the current analysis due to the descriptive nature of the study. T he response rate for both students and community members was lower than traditional survey research, particularly when collected manually using 'paper - and - pencil' methods, but is very consistent with other research involving online survey methods. This res ponse rate does suggest some further limitation in the ability to generalize findings, yet also demonstrates, based on raw number of respondents, a strong interest in the topical area. As shown in Table 1, the average rating for an item on the Perceptions of Community Influence survey was x ̅ =4.66, meaning that respondents typically agreed with the individual survey items. These surveys had an average composite score of 45 with 257 of the responses having a composite score over the hypothetical mid - point of 30, meaning that they agreed through self - reporting that the intentional interactions with other individuals does influence their behaviors. College students agreed most strongly with the survey items of "what others have formally done has influenced my attitudes toward going to college" ( x ̅ =4.87), "what others directly say to me can convey an expectation of me" ( x ̅ =4.81), and "I do things because I have been told by others to do them" ( x ̅ =4.80). 4.2 Community Members Of the 26,000 emailed surveys distributed, after three follow - up reminder emails, 140 surveys were returned and deemed usable in the data analysis, representing a .5% response rate. Of the 2,200 parents who were emailed the survey, 44 completed and returne d the survey for a 2% response rate. The parent responses had an average score of 47 and the community members had an average score of 45, both representing scores above the hypothetical mid - point of 30, meaning that they also perceived that their inte ntional interactions had direct outcomes on individual behavior. For the parents (see Table 2), they agreed most strongly with the statements "my conscious actions can result in other people's behavior" ( x ̅ =4.90), "what I expect from others can be conveyed by what I directly say to them" ( x ̅ =4.88), and "what I expect from others can be conveyed through my actions" ( x ̅ =4.84). Community members had the highest levels of agreement with those same three items, with mean scores of 4.85, 4.75, and 4.79, r espectively. To compare the mean scores of all three groups, an Analysis of Variance was computed and revealed no significant difference between the three groups (p<.05) of responses ( f =.3925). This lack of difference means that all thre e groups, students, parents, and community members, agree that their direct words influence the actions of others. Table 1. College student perceptions of community influence N=282 x ̅ Range Std Dev What others have formally done has influenced my attitudes toward going to college. 4.87 3 .1111 What others directly say to me can convey an expectation of me. 4.81 3 .4041 I do things because I have been told by others to do them. 4.80 4 .3200 My actions have been influenced by those around me. 4.68 4 .4320 What others (non - family members) have directly said to me have influenced my attitudes toward my going to college. 4.68 4 .4666 I have felt the consequences of other people's Intentional public actions. 4.65 3 .2890 I behave in certain ways because my actions have been influenced by others. 4.62 3 .5627 I interpret how other people present themselves differently than they might intend. 4.55 3 .5559 My behaviors can be the result of other people's conscious actions. 4.50 3 .3223 What others do can convey an expectation of me. 4.50 4 .5656 Miller and Deggs ; JESBS , 33(9): 14 - 22, 2020 ; Article no. JESBS . 60961 20 Table 2. Community and family member perceptions of community influence Parent n =44 x ̅ Community Member n =140 x ̅ My intentional actions influence those around me. 4.61 4.37 I behave in certain ways because my actions influence others. 4.72 4.44 Other people do things because they see how I do them. 4.78 4.49 There can be consequences to my public actions. 4.63 4.36 How I present myself can be interpreted differently by different people. 4.49 4.40 My conscious actions can result in other people's behavior. 4.90 4.85 What I expect from others can be conveyed by what I directly say to them. 4.88 4.75 What I expect from others can be conveyed through my actions. 4.84 4.79 5. DISCUSSION One of the most common parental challenges occurs when an individual child begins to resist or question the parent or guardian's behavior and belief system. Some children never force this type of resistance in an open way with their parents, but may once they have left the family home. Measuring the extent that an individual would actually disagree with a parent's words is difficult, at best to measure, especi ally during the transition from adolescence to adulthood that occurs while in college. Often this relationship is nuanced and although a child might fight or resist the wishes of a parent, over time, there might be a merger of thinking resulting in a common view of an issue, the value of education, importance of a career, or other values that are indicative of life choices. This inter - relationship between parent and child can be seen in elements such as selecting a particular major in college. The parent might desire, and express, for example, a practical major that would result in immediate employment after college, and the child might desire something more personally and intellectually fulfilling, yet less likely to result in a post - college job. The student may find, of personal accord, that a job immediately after college is desirable and might then major in a discipline that leads to this outcome. To what extent, then, is th e parent's voicing their desire the cause of the action of the student switching majors? Such questions are difficult, at best, to try and answer, and the current study made use of self - report data, meaning self - perceptions were all that could be reported. If the self - report perceptions in the current study are accurate, then the field - theory of community expectancy is supported and advanced in its understanding. Those involved in the study all reported that what they said to one - another made a di fference. Although unable to prove this linkage with causation, there is some level of evidence within this study that people respond to and are influenced by one - another. These responses and interactions cause behavioral outcomes that are initially observ ed during early adulthood while in college. It would stand to reason that these behavioral outcomes would be influenced by nearly two decades of parenting, family values, social engagement, and other culturally impactful experiences. Behavior modificatio n based on the comments and directives of others may not be an absolute, but they may provide some foundation for understanding both the impact and ongoing magnitude of interpersonal relationships that are established during the formative years. Additional ly, such cultural adherence may ebb and flow throughout generations, and might ultimately result in eras when student uprising and revolt against cultural norms are more or less common. The idea of era - based compliance is in alignment with life - course theo ry, which maintains time and place make a significant difference in how an individual accepts and incorporates personal, familial, and societal perceptions [ 28, 29]. 6. CONCLUSION Additional research that can better document cause - and - effect by parent and community member words and actions would be helpful in strengthening this element of community Miller and Deggs ; JESBS , 33(9): 14 - 22, 2020 ; Article no. JESBS . 60961 21 expectancy and the overall understanding of identity development. Such work, however, will most likely need to occur in an environment of experimental design ov er longer periods of time where stages of development can be examined appropriately. These results do, though, provide policy makers and educators important information about the role of others, especially parents and influential community members, in maki ng decisions as young adults in college. If policy makers and educators truly desire to increase college going and graduation rates, they must find ways to get those around potential students to provide intentional support for student actions. Appropriate efforts to support student adjustment in the college selection, planning, and ultimately transition phases must realize the impact of others in the lives of college students. CONSENT AND ETHICAL APPROVAL As per international standard or university standard guideline participant consent and ethical approval has been collected and preserved by the authors. COMPETING INTERESTS Authors have declared that no competing interests exist. REFERENCES 1. Derden MW. Community expectations of college attendance and completion. Unpublished doctoral dissertation, Fayetteville , AR, Un iversit y of Arkansas (USA) ; 2011. 2. Tolliver DV, I II. The postsecondary enrollment of black American men: The perceived influence of environm ental factors. 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The Blackwell companion to the sociology of cultures . Blackwell Publishing, Malden, MA (USA) . 2005 ;253 - 271. ______________________ ________ ___________________________________________________ © 20 20 Miller and Deggs ; This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Peer - review history: The peer review history for this paper can be accessed here: http://www.sdiarticle4.com/review - history/60961 ----ewBsAbWw;upAKDB ----IB;ceuh;fsn

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