Supplemental Material for Reconsidering the Construct Validity of Self-Reported Chronic Stress: A Multidimensional Item Response Theory Approach

2020 ◽  
Keyword(s):  
Item Response Theory ◽  
Construct Validity ◽  
Item Response ◽  
Chronic Stress ◽  
Multidimensional Item Response Theory ◽  
Theory Approach ◽  
Multidimensional Item Response ◽  
Response Theory

Applying a Multidimensional Item Response Theory Approach in Validating the Dimensionality of the Positive Youth Development Scale

2021 ◽  
pp. 073428292110023
Author(s):  
Ioannis Tsaousis ◽  
Georgios D. Sideridis ◽  
Maisaa Taleb S. Alahmadi
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Youth Development ◽  
Positive Youth Development ◽  
Protective Factor ◽  
Multidimensional Item Response Theory ◽  
Bifactor Model ◽  
Theory Approach ◽  
Multidimensional Item Response ◽  
Response Theory

Positive youth development has gained a lot of attention recently since it acts as a protective factor for several risk behaviors and other important life outcomes in adolescents and young adults. The main objective of this study was to explore the factorial structure of the Positive Youth Development Scale (PYDS) using multidimensional item response theory (MIRT). Three different models were examined: a unidimensional model, a multidimensional model with six distinct dimensions, and a multidimensional bifactor model, where each item was restricted to load simultaneously on a global positive development factor as well as a domain-specific one. Results indicated that the bifactor model provided superior model fit compared to the competing models, including a testlet and purified models. The study concludes with the advantages of MIRT models in dimensionality assessment and provides some suggestions for the improvement of the PYDS’ item characteristics.

A Bifactor Multidimensional Item Response Theory Model for Differential Item Functioning Analysis on Testlet-Based Items

2011 ◽  
Vol 35 (8) ◽  
pp. 604-622 ◽  
Author(s):  
Hirotaka Fukuhara ◽  
Akihito Kamata
Keyword(s):  
Item Response Theory ◽  
Differential Item Functioning ◽  
Item Response ◽  
Estimation Method ◽  
Multidimensional Item Response Theory ◽  
Multidimensional Item Response ◽  
Response Theory ◽  
Data Set ◽  
Detection Rates ◽  
Item Functioning

A differential item functioning (DIF) detection method for testlet-based data was proposed and evaluated in this study. The proposed DIF model is an extension of a bifactor multidimensional item response theory (MIRT) model for testlets. Unlike traditional item response theory (IRT) DIF models, the proposed model takes testlet effects into account, thus estimating DIF magnitude appropriately when a test is composed of testlets. A fully Bayesian estimation method was adopted for parameter estimation. The recovery of parameters was evaluated for the proposed DIF model. Simulation results revealed that the proposed bifactor MIRT DIF model produced better estimates of DIF magnitude and higher DIF detection rates than the traditional IRT DIF model for all simulation conditions. A real data analysis was also conducted by applying the proposed DIF model to a statewide reading assessment data set.

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