Abstract
In this chapter, we discuss the changing role of large-scale educational assessments, specifically their increased focus on measuring psychosocial skills in addition to student achievement. We present a schema that can serve as a helpful guide for distinguishing the different kinds of variables measured in large-scale assessments. In addition, historic and current trends on the shifting role of psychosocial skills in large-scale assessments are discussed, such as the increased focus on noncognitive student factors as additional outcomes and measures of constructs of their own interest. We also present examples of policies aimed at promoting psychosocial skills that have been or are currently being implemented in several countries around the globe. Finally, we review key challenges in measuring psychosocial skills in large-scale assessments and present three promising directions in improved measurement, namely, the introduction of new item formats, improved questionnaire pretesting processes, and new questionnaire designs for digital environments. A shared goal of these innovations is increasing validity and subgroup comparability under the constraint of keeping student burden low. Policy interest is shifting from monitoring student literacy in core subjects to promoting lifelong learners who are able as well as eager to face the demands and challenges of a truly global society. We illustrate the important role that the outlined new directions in noncognitive measurement will play to help ensure that large-scale assessments continue to play a vital role in global education.
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Notes
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In 2000 and 2009, the main domain assessed was reading, in 2003 and 2012 it was mathematics, and in 2006 and 2015 it was science.
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References
Abedi, J. (2006). Psychometric issues in the ELL assessment and special education eligibility. The Teachers College Record, 108, 2282–2303.
Abraham, C. (2012). Mapping change mechanisms and behavior change techniques: A systematic approach to promoting behavior change through text. In C. Abraham & M. Kools (Eds.), Writing health communication: An evidence-based guide for professionals (pp. 99–116). London: Sage.
Ackerman, P. L., & Ellingsen, V. J. (2014). Vocabulary overclaiming. A complete approach: Ability, personality, self-concept correlates, and gender differences. Intelligence, 46, 2016–2227.
Adams, R. J., Lietz, P., & Berezner, A. (2013). On the use of rotated context questionnaires in conjunction with multilevel item response models. Large-Scale Assessments in Education, 1(1), 1–27.
Agasisti, T., & Cordero-Ferrera, J. M. (2013). Educational disparities across regions: A multilevel analysis for Italy and Spain. Journal of Policy Modeling, 35(6), 1079–1102.
Alegre, J. M., Almonte, D. E., Anthony, J. S., & Bertling, J. P. (2015, March). Key findings from NAEP survey questionnaire cognitive interviews. Presentation at the NAEP Questionnaire Standing Committee Meeting, Washington, DC.
Almlund, M., Duckworth, A., Heckman, J. J., & Kautz, T. (2011). Personality psychology and economics (no. w16822). National Bureau of Economic Research.
Almonte, D. E., McCullough, J., Lei, M., & Bertling, J. P. (2014, April). Spiraling of contextual questionnaires in the NAEP TEL pilot assessment. In J. P. Bertling (Chair), Spiraling contextual questionnaires in educational large-scale assessments. Symposium conducted at the meeting of the National Council on Measurement in Education, Philadelphia.
Ashford, S., Edmunds, J., & French, D. P. (2010). What is the best way to change self-efficacy to promote lifestyle and recreational physical activity? A systematic review with meta-analysis. British Journal of Health Psychology, 15(2), 265–288.
Atkinson, J. W. (1957). Motivational determinants of risk-taking behavior. Psychological Review, 64(6, Pt. 1), 359–372.
Bandura, A. (1994). Self-efficacy. New York: Wiley.
Bertling, J. P. (2012, October). Students’ approaches to problem solving-comparison of MTMM models for SJT data from PISA 2012. Technical report presented at the PISA 2012 Questionnaire Expert Group and Problem Solving Expert Group Meeting, Heidelberg, Germany.
Bertling, J. P. (2014, May). Improving the contextual questionnaires for the National Assessment of Educational Progress: Plans for NAEP Core contextual modules. White paper presented at the meeting of the National Assessment Governing Board, Boston.
Bertling, J. P., & Almonte, D. E. (2014). Anchoring vignettes to improve the measurement of students’ familiarity with computers and digital technology in the National Assessment of Educational Progress (Internal technical memo). Princeton, NJ: Educational Testing Service.
Bertling, J. P., & Kyllonen, P. C. (2012). Domain-general student attitudes and behaviors: Constructs and items for PISA 2015 (Module 10). Technical report presented at PISA 2012 Questionnaire Expert Group meeting, Heidelberg, Germany.
Bertling, J. P., & Kyllonen, P. C. (2013, August). Using anchoring vignettes to detect and correct for response styles in PISA questionnaires. In M. Prenzel (Chair), The attitudes-achievement-paradox: How to interpret correlational patterns in cross-cultural studies. Symposium conducted at the EARLI 2013 conference, Munich, Germany.
Buchmann, C., & Dalton, B. (2002). Interpersonal influences and educational aspirations in 12 countries: The importance of institutional context. Sociology of Education, 75, 99–122.
Buchmann, C., & Park, H. (2009). Stratification and the formation of expectations in highly differentiated educational system. Research in Social Stratification and Mobility, 27(4), 245–267.
Buckley, J. (2009). Cross-national response styles in international educational assessments: Evidence from PISA 2006. Retrieved from https://edsurveys.rti.org/PISA/documents/Buckley_PISAresponsestyle.pdf
Callahan, R. M. (2005). Tracking and high school English learners: Limiting opportunity to learn. American Educational Research Journal, 42(2), 305–328.
Carroll, J. (1963). A model of school learning. The Teachers College Record, 64(8), 723–733.
Cheung, G. W., & Rensvold, R. B. (2000). Assessing extreme and acquiescence response sets in cross-cultural research using structural equations modeling. Journal of Cross-Cultural Psychology, 31, 187–212.
Cogan, L. S., & Schmidt, W. H. (2015). The Concept of Opportunity to Learn (OTL). In K. Stacey & R. Turner (Eds.), International Comparisons of Education. In Assessing Mathematical Literacy (pp. 207–216). Cham: Springer International Publishing.
Chmielewski, K., Dumont, H., & Trautwein, U. (2013). Tracking effects depend on tracking type: An international comparison of academic self-concept. American Educational Research Journal, 50, 925–957.
Christenson, S., Reschly, A. L., & Wylie, C. (2012). Handbook of research on student engagement. New York: Springer.
Ciccone, A., & Garcia-Fontes, W. (2009). The quality of the Catalan and Spanish education systems: A perspective from PISA (IESE Business School working paper WP-810). Retrieved from http://ssrn.com/abstract=1513214
Comber, L. C., & Keeves, J. P. (1973). Science education in nineteen countries: An empirical study. Stockholm: Almqvist & Wiksell.
Converse, J. M., & Presser, S. (1986). Survey questions: Handcrafting the standardized questionnaire. Beverly Hills, CA: Sage.
Dillman, D. A., Smyth, J. D., & Christian, L. M. (2014). Internet, phone, mail, and mixed-mode surveys: The tailored design method (4th ed.). Hoboken, NJ: Wiley.
Duckworth, A. L., & Yeager, D. S. (2015). Measurement matters: Assessing personal qualities other than cognitive ability for educational purposes. Educational Researcher, 44, 237–251.
Duncan, G. J., & Murnane, R. J. (Eds.). (2011). Whither opportunity? Rising inequality, school, and children’s life chances. New York: Russell Sage.
Dweck, C. S., Walton, G. M., & Cohen, G. L. (2011). Academic tenacity: Mindsets and skills that promote long–term learning. White paper prepared for the Gates Foundation, Seattle, WA.
Eccles, J. S., Adler, T. F., Futterman, R., Goff, S. B., Kaczala, C. M., Meece, J. L., et al. (1983). Expectancies, values, and academic behaviors. In J. T. Spence (Ed.), Achievement and achievement motivation (pp. 75–146). San Francisco: Freeman.
Eccles, J. S., Wigfield, A., Midgley, C., Reuman, D., MacIver, D., & Feldlaufer, H. (1993). Negative effects of traditional middle schools on students’ motivation. Elementary School Journal, 93, 553–574.
Farrington, C. A., Roderick, M., Allensworth, E., Nagaoka, J., Keyes, T. S., Johnson, D. W., et al. (2012). Teaching adolescents to become learners. The role of noncognitive factors in shaping school performance: A critical literature review. Chicago: University of Chicago Consortium on Chicago School Research.
Feeney, J. R., & Goffin, R. D. (2015). The overclaiming questionnaire: A good way to measure faking? Personality and Individual Differences, 82, 248–252.
Forster, M. (2004). Measuring the social outcomes of schooling: What does ACER research tell? Retrieved from http://research.acer.edu.au/research_conference_2004/4/
Fowler, F. J. (2009). Survey research methods (4th ed.). Thousand Oaks, CA: Sage.
Freedman, D. A. (1999). Ecological inference and the ecological fallacy. International Encyclopedia of the Social & Behavioral Sciences, 6, 4027–4030.
Gabrieli, C. (2015, March). Non-cognitive skills and education policy: Research and practice considerations. In: M. R. West & G. J. Whitehurst (Chairs), Ready to be counted? Incorporating noncognitive skills into education policy. Symposium at the Brown Center on Education Policy, Washington, DC.
Galesic, M., & Bosnjak, M. (2009). Effects of questionnaire length on participation and indicators of response quality in a web survey. Public Opinion Quarterly, 73(2), 349–360.
Gehlbach, H. (2015a, April 15). Name that baby: Why ‘non-cognitive’ factors need a new name. Education Week Blog. Retrieved from http://blogs.edweek.org/edweek/rick_hess_straight_up/2015/04/non-cognitive_factors_need_new_name.html
Gehlbach, H. (2015b). Seven survey sins. The Journal of Early Adolescence. doi:10.1177/0272431615578276.
Ginsburg, A., & Smith, M. S. (2013, December). Key education indicators (KEI): Making sense of NAEP contextual variables. Presentation at the National Assessment Governing Board Meeting, Baltimore.
Gorey, K. M. (2001). Early childhood education: A meta-analytic affirmation of the short-and long-term benefits of educational opportunity. School Psychology Quarterly, 16(1), 9.
Heckman, J. J., & Kautz, T. (2013). Fostering and measuring skills: Interventions that improve character and cognition (IZA discussion paper no. 7750). Bonn, Germany: Institute for the Study of Labor.
Heckman, J. J., Stixrud, J., & Urzua, S. (2006). The effects of cognitive and noncognitive abilities on labor market outcomes and social behavior. Journal of Labor Economics, 24, 411–482.
Heine, S. J., Kitayama, S., Lehman, D. R., Takata, T., Ide, E., Leung, C., et al. (2001). Divergent consequences of success and failure in Japan and North America: An investigation of self-improving motivations and malleable selves. Journal of Personality and Social Psychology, 81(4), 599–615.
Hiebert, J., & Grouws, D. A. (2007). The effects of classroom mathematics teaching on students’ learning. In F. K. Lester (Ed.), Second handbook of research on mathematics teaching and learning (pp. 371–404). Charlotte, NC: Information Age.
Hopkins, D., & King, G. (2010). Improving anchoring vignettes: Designing surveys to correct interpersonal incomparability. Public Opinion Quarterly, 74(2), 201–222.
Jakubowski, M., Patrinos, H. A., Porta, E. E., & Wisniewski, J. (2010). The impact of the 1999 education reform in Poland (Policy research working paper 5263). Human Development Network Education. Washington, DC: The World Bank.
Jencks, C. (1979). Who gets ahead? The determinants of economic success in America. New York: Basic Books.
Kamenetz, A. (2015, May 28). Nonacademic skills are key to success. But what should we call them? nprEd. Retrieved from http://npr.org/sections/ed/2015/05/28/4046847/non-academic-skills-are-key-to-success-but-what-should-we-call-them
Kaplan, D., & Wu, D. (2014, April). Imputation issues relevant to context questionnaire rotation. In J. P. Bertling (Chair), Spiraling contextual questionnaires in educational large-scale assessments. Symposium conducted at the meeting of the National Council on Measurement in Education, Philadelphia.
Kapteyn, A., Smith, J. P., & Van Soest, A. (2007). Vignettes and self-reports of work disability in the US and the Netherlands. American Economic Review, 97, 461–473.
Kautz, T., Heckman, J. J., Diris, R., ter Weel, B., & Borghans, L. (2014). Fostering and measuring skills: Improving cognitive and non-cognitive skills to promote lifetime success. Cambridge, MA: National Bureau of Economic Research.
Keehner, M., Agard, C., Berger, M., Shu, Z., Bertling, J., & Carney, L. (2014). Analyzing data from the NAEP TEL Wells task: Potential reporting insights from interactions, context, and scores (Research memorandum on NAEP TEL Task Component). Princeton, NJ: Educational Testing Service.
King, G., & Wand, J. (2007). Comparing incomparable survey responses: Evaluating and selecting anchoring vignettes. Political Analysis, 15, 46–66.
Kristensen, N., & Johansson, E. (2008). New evidence on cross-country differences in job satisfaction using anchoring vignettes. Labour Economics, 15, 96–117.
Kunter, M., Baumert, J., & Köller, O. (2007). Effective classroom management and the development of subject-related interest. Learning and Instruction, 17(5), 494–509.
Kyllonen, P. C., & Bertling, J. P. (2013). Innovative questionnaire assessment methods to increase cross-country comparability. In L. Rutkowski, M. von Davier, & D. Rutkowski (Eds.), Handbook of international large-scale assessment: Background, technical issues, and methods of data analysis (pp. 277–286). Boca Raton, FL: CRC Press.
Kyllonen, P. C., & Bertling, J. P. (2015, April). Advances in measuring 21st century skills: Constructs, development, and scoring. Training session presented at the meeting of the National Council on Measurement in Education, Chicago.
Ladd, G. W., Kochenderfer-Ladd, B. K., Visconti, K. J., & Ettekal, I. (2012). Classroom peer relations and children’s social and scholastic development: Risk factors and resources. In A. M. Ryan & G. W. Ladd (Eds.), Peer relationships and adjustment at school (pp. 11–49). Charlotte, NC: Information Age Press.
Lareau, A. (2011). Unequal childhoods: Class, race, and family life (2nd ed.). Berkeley, CA: University of California Press.
Lareau, A., & Weininger, E. B. (2003). Cultural capital in educational research: A critical assessment. Theory and Society, 32, 567–606.
Lent, R. W., & Brown, S. D. (2006). On conceptualizing and assessing social cognitive constructs in career research: A measurement guide. Journal of Career Assessment, 14(1), 12–35.
Levin, H. M. (2012). More than just test scores. Prospects, 42(3), 269–284.
Lipowsky, F., Rakoczy, K., Pauli, C., Drollinger-Vetter, B., Klieme, E., & Reusser, K. (2009). Quality of geometry instruction and its short-term impact on students’ understanding of the Pythagorean Theorem. Learning and Instruction, 19(6), 527–537.
Maaz, K., Baumert, J., Neumann, M., Becker, M., & Dumont, H. (Eds.). (2013). Die Berliner Schulstrukturreform: Bewertung duch die beteiligten Akteure und Konsequenzen des neuen Uebergangsverfahrens von der Grundschule in die weiterfuehrenden Schulen. Muenchen: Waxmann.
Magnuson, K. A., & Votruba-Drzal, E. (2009). Enduring influences of childhood poverty. In S. Danziger & M. Cancian (Eds.), Changing poverty changing policies (pp. 153–179). New York: Russell Sage.
Maitland, A., Sun, H., Tourangeau, R., Almonte, D. E., & Bertling, J. P.(2015, March). Exploration of matrix questions on fourth-grade students using eye-tracking. Presentation at the NAEP Questionnaire Standing Committee Meeting, Washington, DC.
McDaniel, M. A., Hartman, N. S., Whetzel, D. L., & Grubb, W. (2007). Situational judgment tests, response instructions, and validity: A meta-analysis. Personnel Psychology, 60(1), 63–91.
McDonnell, L. M. (1995). Opportunity to learn as a research concept and a policy instrument. Educational Evaluation and Policy Analysis, 17(3), 305–322.
Mickelson, R. A. (1990). The attitude-achievement paradox among black adolescents. Sociology of Education, 63(1), 44–61.
Milfont, T. L., & Fischer, R. (2010). Testing measurement invariance across groups: Applications in cross-cultural research. International Journal of Psychological Research, 3, 112–131.
Minor, E. C., Desimone, L. M., Spencer, K., & Phillips, K. J. (2015). A new look at the opportunity-to-learn gap across race and income. American Journal of Education, 121(2), 241–269.
Monseur, C., & Bertling, J. P. (2014, April). Questionnaire rotation in international surveys: Findings from PISA. In J. P. Bertling (Chair), Spiraling contextual questionnaires in educational large-scale assessments. Symposium conducted at the meeting of the National Council on Measurement in Education, Philadelphia.
Monseur, C., & Lafontaine, D. (2012). Structure des systèmes éducatifs et équité : un éclairage international. In M. Crahay (Ed.), Pour une école juste et efficace (pp. 185–219). Brussels, Belgium: De Broeck.
Mõttus, R., Allik, J., Realo, A., Pullmann, H., Rossier, J., Zecca, G., et al. (2012). The effect of response style on self-reported conscientiousness across 20 countries. Personality and Social Psychology Bulletin, 38, 1423–1436.
Naemi, B., Gonzalez, E., Bertling, J. P., Betancourt, A., Burrus, J., Kyllonen, P. C., et al. (2013). Large-scale group score assessments: Past, present, and future. In D. Saklofske & V. Schwean (Eds.), Oxford handbook of psychological assessment of children and adolescents. Cambridge, MA: Oxford University Press.
National Assessment Governing Board. (2012). Policy statement on NAEP background questions and the use of contextual data in NAEP reporting. Washington, DC: U.S. Department of Education, National Assessment Governing Board.
National Council of Teachers of Mathematics. Commission on Standards for School Mathematics. (1989). Curriculum and evaluation standards for school mathematics. Reston, VA: NCTM.
Nyhus, E. K., & Pons, E. (2005). The effects of personality on earnings. Journal of Economic Psychology, 26(3), 363–384.
O’Connor, M. C., & Paunonen, S. V. (2007). Big five personality predictors of post-secondary academic performance. Personality and Individual Differences, 43(5), 971–990.
OECD. (2010). Pathways to success: How knowledge and skills at age 15 shape future lives in Canada. Paris: OECD Publishing.
OECD. (2011). How do education systems and schools select and group students? In PISA 2009 at a Glance. Paris: OECD Publishing.
OECD. (2012). Learning beyond fifteen: Ten years after PISA. Paris: OECD Publishing.
OECD. (2013a). Education at a glance 2013: OECD indicators. Paris: OECD Publishing.
OECD. (2013b). PISA 2012 Assessment and analytical framework: Mathematics, reading, science, problem solving and financial literacy. Paris: OECD Publishing.
OECD. (2013c). PISA 2012 results: Excellence through equity: Giving every student the chance to succeed (Volume II). Paris: OECD Publishing.
OECD. (2013d). PISA 2012 results: Ready to learn: Students’ engagement, drive and self-beliefs (Volume III). Paris: OECD Publishing.
OECD. (2013e). PISA 2012 results: What makes schools successful? Resources, policies and practices (Volume IV). Paris: OECD Publishing.
OECD. (2013f). PISA 2015: Draft questionnaire framework. Paris: OECD Publishing. Retrieved from http://www.oecd.org/pisa/pisaproducts/PISA-2015-draft-questionnaire-framework.pdf.
OECD. (2014a). Education at a glance 2014: OECD indicators. Paris: OECD Publishing.
OECD. (2014b). PISA 2012 technical report. Paris: OECD Publishing.
Oostrom, J. K., De Soete, B., & Lievens, F. (2015). Situational judgment testing. In I. Nikolaou & J. K. Oostrom (Eds.), Employee recruitment, selection, and assessment: Contemporary issues for theory and practice (pp. 172–189). New York: Psychology Press.
Parker, P. D., Marsh, H. W., Ciarrochi, J., Marshall, S., & Abduljabbar, A. S. (2014). Juxtaposing math self-efficacy and self-concept as predictors of long-term achievement outcomes. Educational Psychology, 34(1), 29–48.
Paulhus, D. L., & Dubois, P. J. (2014). Application of the overclaiming technique to scholastic assessment. Educational and Psychological Measurement, 74, 975–990.
Paulhus, D. L., Harms, P. D., Bruce, M. N., & Lysy, D. C. (2003). The over-claiming technique: Measuring self-enhancement independent of ability. Journal of Personality and Social Psychology, 84(4), 890–904.
Paunonen, S. V., & Ashton, M. C. (2001). Big five factors and facets and the prediction of behavior. Journal of Personality and Social Psychology, 81(3), 524–539.
Pekrun, R., vom Hofe, R., Blum, W., Frenzel, A. C., Götz, T., & Wartha, S. (2007). Development of mathematical competencies in adolescence: The PALMA longitudinal study. In M. Prenzel (Ed.), Studies on the educational quality of schools: The final report on the DFG priority programme (pp. 17–37). Münster, Germany: Waxmann.
Pintrich, P. R., Marx, R. W., & Boyle, R. A. (1993). Beyond cold conceptual change: The role of motivational beliefs and classroom contextual factors in the process of conceptual change. Review of Educational Research, 63(2), 167–199.
Poropat, A. E. (2009). A meta-analysis of the five-factor model of personality and academic performance. Psychological Bulletin, 135(2), 322–338.
Prenzel, M. (2012). Empirische Bildungsforschung morgen: Reichen unsere bisherigen Forschungsansätze aus? In M. Gläser-Zikuda, T. Seidel, C. Rohlfs, A. Gröschner, & S. Ziegelbauer (Eds.), Mixed Methods in der empirischen Bildungsforschung (pp. 273–285). Münster, Germany: Waxmann.
Richardson, M., Abraham, C., & Bond, R. (2012). Psychological correlates of university students’ academic performance: A systematic review and meta–analysis. Psychological Bulletin, 138(2), 353–387.
Roberts, B. W., Kuncel, N. R., Shiner, R., Caspi, A., & Goldberg, L. R. (2007). The power of personality: The comparative validity of personality traits, socioeconomic status, and cognitive ability for predicting important life outcomes. Perspectives on Psychological Science, 2, 313–345.
Robinson, W. S. (1950). Ecological correlations and the behavior of individuals. American Sociological Review, 15, 351–357.
Rychen, D. S., & Salganik, L. H. (Eds.). (2003). Defining and selecting key competencies. Cambridge, MA: Hogrefe & Huber.
Salomon, J. A., Tandon, A., & Murray, C. J. L. (2004). Comparability of self-rated health: Cross-sectional multi-country survey using anchoring vignettes. British Medical Journal, 328, 258–261.
Santos, D., & Primi, R. (2014). Social and emotional development and school learning. A measurement proposal in support of public policy. São Paulo, Brazil: Ayrton Senna Institute.
Schiepe-Tiska, A., Heine, J. -H., Lüdtke, O., Seidel, T., & Prenzel, M. (2015). Cognitive and noncognitive outcomes in mathematics classrooms and their relationship with instructional quality. Unterrichtswissenschaft. Manuscript submitted for publication.
Schunk, D. H., & Mullen, C. A. (2013). Motivation. In J. Hattie & E. M. Anderman (Eds.), International guide to student achievement (pp. 67–69). New York: Routledge.
Seidel, T., & Reiss, K. (2014). Lerngelegenheiten im Unterricht. In T. Seidel & A. Krapp (Eds.), Paedagogische Psychologie (pp. 253–276). Weinheim, Germany: Beltz.
SES Expert Panel. (2012). Improving the measurement of socioeconomic status for the National Assessment of Educational Progress: A theoretical foundation (White Paper prepared for the National Center for Education Statistics). Washington, DC: U.S. Department of Education.
Smith, M. S., Chudowsky, N., Ginsburg, A., Hauser, R., Jennings, J., & Lewis, S. (2012). NAEP background questions: An underused national resource. Report to the National Assessment Governing Board by the expert panel on strengthening the NAEP background questions. Retrieved from http://www.nagb.org/content/nagb/assets/documents/publications/expert-panel-naep-bq-report.pdf
Specht, J., Egloff, B., & Schmukle, S. C. (2011). Stability and change of personality across the life course: The impact of age and major life events on mean–level and rank–order stability of the Big Five. Journal of Personality and Social Psychology, 101, 862–882.
Stiglitz, J. E., Sen, A., & Fitoussi, J. P. (2010). Report by the commission on the measurement of economic performance and social progress. Paris: Commission on the Measurement of Economic Performance and Social Progress.
Stock, J., & Cervone, D. (1990). Proximal goal-setting and self-regulatory processes. Cognitive Therapy and Research, 14(5), 483–498.
United Nations Educational Scientific and Cultural Organization. (2014). Teaching and learning: Achieving quality for all. EFA global monitoring report. Paris: UNESCO.
van de Gaer, E., Grisay, A., Schulz, W., & Gebhardt, E. (2012). The reference group effect: An explanation of the paradoxical relationship between academic achievement and self-confidence across countries. Journal of Cross-Cultural Psychology, 43(8), 1205–1228.
von Davier, M. (2014). Imputing proficiency data under planned missingness in population models. In L. Rutkowski, M. von Davier, & D. Rutkowski (Eds.), Handbook of international large-scale assessment: Background, technical issues, and methods of data analysis. Boca Raton, FL: CRC Press.
Weekley, J. A., & Ployhart, R. E. (Eds.). (2006). Situational judgment tests: Theory, measurement, and application. Mahway, NJ: Erlbaum.
Whetzel, D. L., & McDaniel, M. A. (2009). Situational judgment tests: An overview of current research. Human Resource Management Review, 19(3), 188–202.
White, K. R. (1982). The relation between socioeconomic status and academic achievement. Psychological Bulletin, 91, 461–481.
Wise, S. L., & Kong, X. (2005). Response time effort: A new measure of examinee motivation in computer-based tests. Applied Measurement in Education, 18, 163–183.
Ziegler, M., Kemper, C., & Rammstedt, B. (2015). The vocabulary and overclaiming test (VOC-T). Journal of Individual Differences, 34(1), 32–40.
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Bertling, J.P., Borgonovi, F., Almonte, D.E. (2016). Psychosocial Skills in Large-Scale Assessments: Trends, Challenges, and Policy Implications. In: Lipnevich, A., Preckel, F., Roberts, R. (eds) Psychosocial Skills and School Systems in the 21st Century. The Springer Series on Human Exceptionality. Springer, Cham. https://doi.org/10.1007/978-3-319-28606-8_14
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