Construct Validity and Measurement Invariance of Computerized Adaptive Testing: Application to Measures of Academic Progress (MAP) Using Confirmatory Factor Analysis | Zendy

Shudong Wang | Zendy; Marty McCall | Zendy; Hong Jiao | Zendy; Gregg Harris | Zendy

Open Access

Construct Validity and Measurement Invariance of Computerized Adaptive Testing: Application to Measures of Academic Progress (MAP) Using Confirmatory Factor Analysis

Author(s) -

Shudong Wang,

Marty McCall,

Hong Jiao,

Gregg Harris

Publication year - 2013

Publication title -

journal of educational and developmental psychology

Language(s) - English

Resource type - Journals

eISSN - 1927-0534

pISSN - 1927-0526

DOI - 10.5539/jedp.v3n1p88

Subject(s) - factorial , construct (python library) , measurement invariance , confirmatory factor analysis , set (abstract data type) , uniqueness , psychology , construct validity , test (biology) , reading (process) , statistics , goodness of fit , factorial analysis , mathematics education , mathematics , structural equation modeling , social psychology , computer science , psychometrics , linguistics , mathematical analysis , paleontology , philosophy , biology , programming language

The purposes of this study are twofold. First, to investigate the construct or factorial structure of a set of Reading and Mathematics computerized adaptive tests (CAT), Measures of Academic Progress (MAP), given in different states at different grades and academic terms. The second purpose is to investigate the invariance of test factorial structure across different grades, academic terms and states. Because of the uniqueness of CAT data (different student receive different items), traditional factor analysis based on fixed form data is no longer practically possible at the item level. This study illustrates how to overcome the difficulty of applying factor analysis in CAT data and study results provide evidences for valid interpretation MAP tests scores across grades at different academic terms for different states.

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