Psychometric Research: Modern Methods and New Opportunities for Education

Keywords: psychometrics, measurement in social sciences, history of psychometrics

Abstract

Qualitative measurement is a fundamental requirement for research practice in the social sciences. The quality of measurements determines the validity of the interpretations, conclusions and decisions we can make based on the data obtained from the measurements. Qualitative measurement in the social sciences requires assessment tools as well as data analysis methods to link observed measurement results to theoretical attributes. The scientific basis for their development is provided by psychometrics.

Preceding the special issue of the journal "Voprosy obrazovaniya / Educational Studies Moscow" devoted to psychometrics, the guest editors of this issue cover the main milestones of the history of psychometrics, highlight some significant publications, note the professional institutions and authors who have made their valuable contribution to the development of this branch of science. The authors pay special attention to the history of psychometrics in Russia. Assessing the possibilities, prospects and limitations of psychometrics, the authors express their point of view on the debatable issues of psychometrics, and it does not always coincide with the opinion of the authors of the special issue. This issue presents examples of using modern psychometric methods to solve actual problems in education research, as well as in research at the intersection of education and psychology, education and different spheres of business. All the authors of the presented articles are united by the desire to improve research practice in the social sciences through truly qualitative measurements.




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References

American Educational Research Association, American Psychological Association, National Council on Measurement in Education, Joint Committee on Standards for Educational and Psychological Testing (U.S.) (2014) Standards for Educational and Psychological Testing. Washington, DC: American Educational Research Association.

Avanesov V.S. (1996) Kompozitsiya testovykh zadaniy [Composition of Test Tasks]. Moscow: Association of Engineers-Teachers.

Budilova E.A., Koltsova V.A. (1985) 100-letie pervoy russkoy eksperimental´noy psikhologicheskoy laboratorii [100th Anniversary of the First Russian Experimental Psychological Laboratory]. Voprosy Psychologii, no 6, pp. 96–102.

Chelyshkova M.B. (2002) Teoriya i praktika konstruirovaniya pedagogicheskikh testov [Theory and Practice of Designing Pedagogical Tests]. Moscow: Logos.

Chelyshkova M.B. (1995) Razrabotka pedagogicheskikh testov na osnove sovremennykh matematicheskikh modeley [Development of Pedagogical Tests Based on Modern Mathematical Models]. Moscow: MISIS.

Cooper C. (2000) Individual´nye razlichiya [Individual Differences]. Moscow: Aspekt.

Embretson S.E., Reise S.P. (2000) Item Response Theory for Psychologists. Mahwah, NJ: Erlbaum.

Hambleton R.K., Swaminathan H., Rogers H.J. (1991) Fundamentals of Item Response Theory. Newbury Park, CA: Sage.

Kane M.T. (2001) Current Concerns in Validity Theory. Journal of Educational Measurement, vol. 38, no 4, pp. 319–342. http://dx.doi.org/10.1111/j.1745-3984.2001.tb01130.x

Kardanova E.Yu. (2008) Modelirovanie i parametrizatsiya testov: osnovy teorii i prilozheniya [Modeling and Parameterization of Tests: Fundamentals of Theory and Applications]. Moscow: Federal Testing Center.

Klein P. (1994) Spravochnoe rukovodstvo po konstruirovaniyu testov. Vvedenie v psikhometricheskoe proektirovanie [Reference Guide for Designing Tests. Introduction to Psychometric Design]. Kiev: PAN.

Lord F.M. (1980) Applications of Item Response Theory to Practical Testing Problems. New York, NY: Routledge. doi.org/10.4324/9780203056615

Lord F.M., Novick M.R. (1968) Statistical Theories of Mental Test Scores. Menlo Park, CA: Addison-Wesley.

Messick S. (1995) Standards of Validity and the Validity of Standards in Performance Assessment. Educational Measurement: Issues and Practice, vol. 14, no 4, pp. 5–8. https://doi.org/10.1111/j.1745-3992.1995.tb00881.x

Mislevy R.J. (2007) Validity by Design. Educational Researcher, vol. 36, no 8, pp. 463–469.

Myford C.M., Wolfe E.W. (2004) Detecting and Measuring Rater Effects Using Many-Facet Rasch Measurement: Part 2. Journal of Applied Measurement, vol. 5, no 2, pp. 189–227.

Myford C.M., Wolfe E.W. (2003) Detecting and Measuring Rater Effects Using Many-Facet Rasch Measurement: Part 1. Journal of Applied Measurement, vol. 4, no 4, pp. 386–422.

Neiman Yu.M., Khlebnikov V.A. (2000) Vvedenie v teoriyu modelirovaniya i parametrizatsii pedagogicheskikh testov [Introduction to the Theory of Modeling and Parametrization of Pedagogical Tests]. Moscow: Prometey.

Rasch G. (1960) Probabilistic Models for Some Intelligence and Attainment Tests. Copenhagen: Danmarks Paedagogiske Institut.

Sirotkina I., Smith R. (2016) Istoriya psikhologii v Rossii: kratkiy ocherk s avtorskimi aktsentami. Preprint WP6/2016/01 [History of Psychology in Russia: Short Review with the Authors’ Emphasis. Working paper no WP6/2016/01]. Moscow: HSE.

Wijsen L.D., Borsboom D., Cabaço T., Heiser W.J. (2019) An Academic Genealogy of Psychometric Society Presidents. Psychometrika, vol. 84, no 2, pp. 562–588. http://dx.doi.org/10.1007/s11336-018-09651-4

Wright B.D., Masters G.N. (1982) Rating Scale Analysis. Rasch Measurement. Chicago, IL: Mesa.

Wright B.D., Stone M.N. (1979) Best Test Design. Rasch Measurement. Chicago, IL: Mesa.

Published
2023-11-06
How to Cite
KardanovaElena Yu., and IvanovaAlina E. 2023. “Psychometric Research: Modern Methods and New Opportunities for Education”. Voprosy Obrazovaniya / Educational Studies Moscow, no. 3 (November). https://doi.org/10.17323/vo-2023-17951.
Section
SI Psychometrics