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.

1. Rasch G., 1980. Probabilistic models for some intelligence and attainment tests (Expanded edition, with foreword and afterword by Benjamin D. Wright). Chicago: University of Chicago Press. Р. 199.

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. Р. 432–442.

4. Croc­ker L. Al­gi­na ­Intro­duc­ti­on to Classical and Modern Test Theory. Ohio. Cengage Learning Mason. 2008. Р. 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. Р. 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). Р. 131–141.

8. Humphry S. M., Andrich D. Un­derstan­ding the unit in the Rasch Model. Journal of Applied Measurement. 2008. № 9 (3). Р. 249–264.

9. Wil­son M. Construc­ting Measures: An Item Response modeling approach. Mahwah. Lawrence Erlbaum Associates Publ. 2005. Р. 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). Р. 249–264.

11. Mas­lak A. A. Fun­da­men­tals of Design of Experiment in Management. Slavyansk-on-Ku­ban. Publishing center of KubSU. 2013. № 116.