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INVESTIGATION OF MEASUREMENT PRECISION OF LATENT VARIABLES IN EDUCATION

https://doi.org/10.17853/1994-5639-2014-7-36-46

Abstract

The objective of the study is to investigate the measurement accuracy of latent variables depending on a number of dichotomous test items and variation range.

Methods: Investigation is based on the simulation experiments.

Results: The authors make recommendations for selecting a number of dichotomous test items and variation range depending on the required measurement precision of latent variables.

Scientific novelty: The research demonstrates statistical correlation between the measurement precision of latent variables and a number of test items and variation range.

Importance for practice: The research results can be used while developing the questionnaires and tests for measuring the latent variables.

About the Authors

Anatoly A. Maslak Anatoly A.
Affiliate of Kuban State University, Slavyansk-on-Kuban
Russian Federation
Doctor of Science, Professor, Head of Laboratory for Objective Measurement


Sergey A. Osipov
Affiliate of Kuban State University, Slavyansk-on-Kuban
Russian Federation
Candidate of Sciences, Associate Professor, Department of Mathematics and Informatics


Tatyana N. Goncharova
Affiliate of Kuban State University, Slavyansk-on-Kuban
Russian Federation
Postgraduate, Department of Mathematics and Informatics


References

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2. Maslak A. A. Measurement of latent variables in social systems. Slavyansk-on-Kuban. Publishing center of KubSU. 2012. P. 432. (In Russian)

3. Maslak A., Karabatsos G., Anisimova T., Osipov S. Measuring and Comparing Higher Education Quality between Countries Worldwide. Journal of Applied Measurement. 2005. V. 6. ? 4. ?. 432–442.

4. Crocker L. Algina Introduction to Classical and Modern Test Theory. Ohio. Cengage Learning Mason. 2008. ?. 527.

5. Kruyen P. M. Using Short Tests and Questionnaires for Making Decisions about Individuals: When is Short too Short? Ridderkerk. 2012. 161 p.

6. Kruyen P. M., Emons, W. H. M. and Sijtsma K. Test Length and decision quality in personnel selection: When is short too short? International Journal of Testing. 2012. ? 12. ?. 321–344.

7. Letova L. V., Maslak A. A., Osipov S. A. Family of Rasch f models for objective measurement of latent variables. Informatization of Science and Education. 2013. ? 4 (20). ?. 131–141.

8. Humphry S. M., Andrich D. Understanding the unit in the Rasch Model. Journal of Applied Measurement. 2008. ? 9 (3). ?. 249–264.

9. Wilson M. Constructing Measures: An Item Response modeling approach. Mahwah. Lawrence Erlbaum Associates Publ. 2005. ?. 228.

10. Wolfe E. W., Smith V. Instrument Development Tools and Activities for Measure Validation Using Rasch Models; Part I – Instrument Development Tools. Journal of Applied Measurement. 2007. ? 8 (1). ?. 249–264.

11. Maslak A. A. Fundamentals of Design of Experiment in Management. Slavyansk-on-Kuban. Publishing center of KubSU. 2013. ? 116.


Review

For citations:


Maslak Anatoly A. A.A., Osipov S.A., Goncharova T.N. INVESTIGATION OF MEASUREMENT PRECISION OF LATENT VARIABLES IN EDUCATION. The Education and science journal. 2014;(7):36-46. (In Russ.) https://doi.org/10.17853/1994-5639-2014-7-36-46

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ISSN 1994-5639 (Print)
ISSN 2310-5828 (Online)