Multidimensional Item Response Theory

Liu, Yang; Magnus, Brooke E.; O'Connor, Hally; Thissen, David

doi:10.1002/9781118489772.ch16

Cited by 13 publications

(16 citation statements)

References 67 publications

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“…The correlation between the two latent variables was not significantly different from zero for any of the six subgroups (r = −0.14-0.04); furthermore, estimating a two-factor model in which the correlation between the two factors is fixed to zero results in the improvement of most model fit statistics (RMSEA = 0.072, CFI = 0.96, TLI = 0.95, SRMR = 0.06). This finding suggests that the multidimensional scale really comprises two unidimensional scales (Liu et al, 2018). Thus, we proceeded to treat the measure as two unidimensional measures, entitled "Openness to Seeking Treatment" and "Value and Need in Seeking Treatment.…”

Section: Scale Dimensionalitymentioning

confidence: 99%

Assessing the Psychometric Proprieties of the Attitudes Toward Seeking Professional Psychological Help Scale–Short Form (ATSPPH-SF) Among Latino Adults

2020

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The Latino population continues to underutilize mental health services at an alarming rate. The Attitudes Toward Seeking Professional Psychological Help Scale–Short Form (ATSPPH-SF) is one of the most commonly used instruments to assess help-seeking attitudes. The current study sought to evaluate the factor structure and test for the presence of differential item functioning on the ATSPPH-SF with a sample of Latino adult individuals across nativity status (U.S.- vs. foreign-born), language format (English vs. Spanish), and gender. The analyses revealed two relatively independent factors named Openness to Seeking Treatment and Value and Need in Seeking Treatment. Measurement equivalence and practical implications are discussed in the context of use with Latino individuals.

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Section: Scale Dimensionalitymentioning

confidence: 99%

Assessing the Psychometric Proprieties of the Attitudes Toward Seeking Professional Psychological Help Scale–Short Form (ATSPPH-SF) Among Latino Adults

2020

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“…and explicating the relationship thereof. When the survey is composed of items, multidimensional item response theory (MIRT; e.g., Liu, Magnus, Quinn, & Thissen, ; Reckase, ), also known as item factor analysis (IFA; e.g., Wirth & Edwards, ), provides a unified framework and convenient statistical tools for item analysis and scoring. The increasing scale and complexity of survey designs call for MIRT models with many latent traits.…”

Section: Introductionmentioning

confidence: 99%

An improved stochasticEMalgorithm for large‐scale full‐information item factor analysis

Zhang

Chen

Liu

2018

Brit J Math & Statis

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In this paper, we explore the use of the stochastic EM algorithm (Celeux & Diebolt (1985) Computational Statistics Quarterly, 2, 73) for large-scale full-information item factor analysis. Innovations have been made on its implementation, including an adaptive-rejection-based Gibbs sampler for the stochastic E step, a proximal gradient descent algorithm for the optimization in the M step, and diagnostic procedures for determining the burn-in size and the stopping of the algorithm. These developments are based on the theoretical results of Nielsen (2000, Bernoulli, 6, 457), as well as advanced sampling and optimization techniques. The proposed algorithm is computationally efficient and virtually tuning-free, making it scalable to large-scale data with many latent traits (e.g. more than five latent traits) and easy to use for practitioners. Standard errors of parameter estimation are also obtained based on the missing-information identity (Louis, 1982, Journal of the Royal Statistical Society, Series B, 44, 226). The performance of the algorithm is evaluated through simulation studies and an application to the analysis of the IPIP-NEO personality inventory. Extensions of the proposed algorithm to other latent variable models are discussed.

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“…On the multi‐dimensional surveys of Section 4.1.2, 4.1.3, and Appendix A1.2, a greedy sequential approach is likely to work: apply the semi‐automated procedure to find an instrument, remove the corresponding items from the original dataset, and apply the same procedure once more to find the next instrument. A more involved integrated approach would adapt the GPCM to allow for multiple abilities per subject, corresponding to different dimensions, for example along the lines of Liu, Magnus, O'Connor, and Thissen (2018), Adams et al . (1997) and Kelderman (1996).…”

Section: Discussionmentioning

confidence: 99%

Semi‐automated Rasch analysis using in‐plus‐out‐of‐questionnaire log likelihood

Wijayanto

Mul

Groot

et al. 2020

Brit J Math & Statis

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Rasch analysis is a popular statistical tool for developing and validating instruments that aim to measure human performance, attitudes and perceptions. Despite the availability of various software packages, constructing a good instrument based on Rasch analysis is still considered to be a complex, labour-intensive task, requiring human expertise and rather subjective judgements along the way. In this paper we propose a semi-automated method for Rasch analysis based on first principles that reduces the need for human input. To this end, we introduce a novel criterion, called in-plus-out-of-questionnaire log likelihood (IPOQ-LL). On artificial data sets, we confirm that optimization of IPOQ-LL leads to the desired behaviour in the case of multi-dimensional and inhomogeneous surveys. On three publicly available real-world data sets, our method leads to instruments that are, for all practical purposes, indistinguishable from those obtained by Rasch analysis experts through a manual procedure. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Multidimensional Item Response Theory

Cited by 13 publications

References 67 publications

Assessing the Psychometric Proprieties of the Attitudes Toward Seeking Professional Psychological Help Scale–Short Form (ATSPPH-SF) Among Latino Adults

Assessing the Psychometric Proprieties of the Attitudes Toward Seeking Professional Psychological Help Scale–Short Form (ATSPPH-SF) Among Latino Adults

An improved stochasticEMalgorithm for large‐scale full‐information item factor analysis

Semi‐automated Rasch analysis using in‐plus‐out‐of‐questionnaire log likelihood

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