Skip to main navigation menu Skip to main content Skip to site footer

Development of psychological and educational assessment instruments based on the B.E.A.R. (Berkeley Evaluation and Assessment Research) model

Desarrollo de Instrumentos de Evaluación Psicológica y Educativa desde el modelo B.E.A.R (Berkeley Evaluation and Assessment Research)




Section
Artículos Investigación

How to Cite
Ovalle Ramírez, C. P. (2025). Development of psychological and educational assessment instruments based on the B.E.A.R. (Berkeley Evaluation and Assessment Research) model. Tempus Psicológico, 9(1). https://doi.org/10.30554/tempuspsi.9.1.5419.2026
Download Citation

Dimensions
PlumX

How to Cite

Ovalle Ramírez, C. P. (2025). Development of psychological and educational assessment instruments based on the B.E.A.R. (Berkeley Evaluation and Assessment Research) model. Tempus Psicológico, 9(1). https://doi.org/10.30554/tempuspsi.9.1.5419.2026

Download Citation

Claudia Patricia Ovalle Ramírez

The BEAR (Berkeley Evaluation and Assessment Research) model for the design of measuring instruments and their components is presented based on the reading of the second edition of the book by Wilson & Tan, from the University of Berkley. The model is emphasized for its facilities in uniting theoretical concepts with the psychometric measurement model, and the possibilities it represents for the design of appropriate instruments, and therefore correct inferences when it comes to collecting evidence on psychological, behavioral, attitudinal and ability traits. The steps of the process are discussed, and questions are presented about the potentialities of the model outside the assumption of One-dimensionality.


Article visits 58 | PDF visits 37


Downloads

Download data is not yet available.
  1. Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956). Taxonomy of Educational Objectives: The Classification of Educational Goals (Vol. Handbook I: Cognitive domain). New York: Davidson.
  2. Ferrara, S., Lai, E., Reilly, A., & Nichols, P. D. (2016). Principled approaches to assessment design, development, and implementation. In A. A. Rupp & J. P. Leighton (Eds.), The Handbook of Cognition and Assessment: Frameworks, Methodologies, and Applications, pp. 41–74. New York: Wiley-Blackwell. https://doi.org/10.1002/9781118956588.ch3
  3. Hattie, J. (1985). Methodology review: Assessing unidimensionality of tests and items. Applied Psychological Measurement, 9, 139–164.
  4. Hontagas, P., Ponsoda,V., Olea, J., Revuelta, J. (1998). Representación de funciones características de ítems dicotómicos y politómicos”. Psicothema, no 10(1998): 475-479. https://www.psicothema.com/contenido?num=19981002
  5. Irribara, D. (2022) A Pragmatic Perspective of Measurement. Springer. https://link.springer.com/book/10.1007/978-3-030-74025-2
  6. Krathwohl, D. R., Bloom, B. S., & Masia, B. B. (1964). Taxonomy of Educational Objectives: The Classification of Educational Goals, Handbook II: Affective Domain. New York: David Mckay Company Incorporated.
  7. Masters, Geoff. A Rasch model for partial credit scoring. Psychometrika 47, (1982):149-174. https://doi.org/10.1007/BF02296272
  8. McDonald, R. P. (1981). The dimensionality of tests and items. British Journal of Mathematical and Statistical Psychology, 34, 100–117.
  9. Mari, L., Wilson, M., & Maul, A. (2023). Measurement Across the Sciences: Developing a Shared Concept System for Measurement (second edition). New York: Springer.
  10. Mislevy, R. (2018). Sociocultural Foundations of Educational Measurement. New York: Routledge
  11. National Research Council (NRC). (2001). Knowing what students know: The science and design of educational assessment (Committee on the foundations of assessment). In J. Pellegrino, N. Chudowsky & R. Glaser (Eds.), Division on Behavioral and Social Sciences and Education. Washington, DC: National Academy Press.
  12. White, D.K., Wilson, J.C. and Keysor, J.J. (2011), Measures of adult general functional status: SF-36 Physical Functioning Subscale (PF-10), Health Assessment Questionnaire (HAQ), Modified Health Assessment Questionnaire (MHAQ), Katz Index of Independence in Activities of Daily Living, Functional Independence Measure (FIM), and Osteoarthritis-Function-Computer Adaptive Test (OA-Function-CAT). Arthritis Care Research, 63: S297-S307. https://doi.org/10.1002/acr.20638
  13. Reise, S., & Revicki, A. (2015) Handbook of IRT Modeling: Applications to typical performance assessment. Routledge.
  14. Wilson, M (2005) Constructing Measures: An Item Response Modeling Approach, 1st Edition. Routledge, Taylor & Francis Group. NYC
  15. Wilson, M (2023) Constructing Measures: An Item Response Modeling Approach, 2nd Edition. Routledge, Taylor & Francis Group, second. NYC
  16. Wilson, M., & Sloane, K. (two thousand). From principles to practice: An embedded assessment system. Applied Measurement in Education, 13, 181–208.
  17. Wilson, M., & Tan, S. (2023). Test development: Principled assessment design. In D. Mc Caffrey & A. Rupp (Eds.), International Encyclopedia of Education (fourth edition), Volume 10: Quantitative Research/Educational Measurement (pp. 146–162). Oxford: Elsevier Ltd.
Sistema OJS 3.4.0.10 - Metabiblioteca |