Latent Trait Measurement Models

Abstract. The present study investigated a state-trait model of self-esteem. Analyses focused on determining if the trait of the observables measuring state self-esteem is equivalent to the trait of the observables measuring trait self-esteem. N = 439 college students completed the Multidimensional Scale of Self-Esteem (MSES) on two measurement occasions spaced 10 weeks apart. Structural equation models were used to test latent state-trait measurement models and the relation between the state and trait components of self-esteem. The results suggest that (1) except for physical self-esteem, the multi-state-single-trait models are suitable for all self-esteem dimensions investigated. This holds for the state test halves as well as for the trait test halves. (2) Concerning the association between the components of trait and state self-esteem, results were supportive of a model, including two latent trait variables, assumed to explain the latent state variables for the respective state form and trait form for the dimensions of general self-esteem. These latent trait factors correlate substantively with .94 ≤ r ≤ .99.

Download Full-text

Correction for Item Response Theory Latent Trait Measurement Error in Linear Mixed Effects Models

Psychometrika ◽

10.1007/s11336-019-09672-7 ◽

2019 ◽

Vol 84 (3) ◽

pp. 673-700

Author(s):

Chun Wang ◽

Gongjun Xu ◽

Xue Zhang

Keyword(s):

Item Response Theory ◽

Measurement Error ◽

Item Response ◽

Latent Trait ◽

Mixed Effects ◽

Mixed Effects Models ◽

Response Theory ◽

Linear Mixed Effects Models ◽

Linear Mixed Effects ◽

Trait Measurement

Download Full-text

Item response theory and the measurement of psychiatric constructs: some empirical and conceptual issues and challenges

Psychological Medicine ◽

10.1017/s0033291716000520 ◽

2016 ◽

Vol 46 (10) ◽

pp. 2025-2039 ◽

Cited By ~ 24

Author(s):

S. P. Reise ◽

A. Rodriguez

Keyword(s):

Item Response Theory ◽

Item Response ◽

Latent Trait ◽

Response Theory ◽

Outcomes Measurement ◽

Measurement Models ◽

Irt Models ◽

Trait Distribution ◽

Item Pools ◽

Latent Trait Distribution

Item response theory (IRT) measurement models are now commonly used in educational, psychological, and health-outcomes measurement, but their impact in the evaluation of measures of psychiatric constructs remains limited. Herein we present two, somewhat contradictory, theses. The first is that, when skillfully applied, IRT has much to offer psychiatric measurement in terms of scale development, psychometric analysis, and scoring. The second argument, however, is that psychiatric measurement presents some unique challenges to the application of IRT – challenges that may not be easily addressed by application of conventional IRT models and methods. These challenges include, but are not limited to, the modeling of conceptually narrow constructs and their associated limited item pools, and unipolar constructs where the expected latent trait distribution is highly skewed.

Download Full-text

First-Grade Cognitive Predictors of Writing Disabilities in Grades 2 Through 4 Elementary School Students

Journal of Learning Disabilities ◽

10.1177/0022219417721182 ◽

2017 ◽

Vol 51 (4) ◽

pp. 351-362 ◽

Cited By ~ 4

Author(s):

Lara-Jeane Costa ◽

Melissa Green ◽

John Sideris ◽

Stephen R. Hooper

Keyword(s):

At Risk ◽

Latent Trait ◽

First Grade ◽

Individual Measurement ◽

Cognitive Predictors ◽

Measurement Models ◽

Writing Disabilities ◽

Latent Trait Model ◽

Trait Model ◽

The Individual

The primary aim of this study was determining Grade 1 cognitive predictors of students at risk for writing disabilities in Grades 2 through 4. Applying cognitive measures selected to align with theoretical and empirical models of writing, tasks were administered to Grade 1 students assessing fine-motor, linguistic, and executive functions: 84 at risk (bottom quartile for age-base expectations) and 54 typically developing. A model with individual predictors was compared to a previously developed latent trait model to determine the relative predictive worth of each approach. Data analysis primarily involved stepwise logistic regression. Results revealed that the individual measures of orthographic choice, working memory, inhibitory control, visual memory recognition, and planning all were significant predictors of at risk status in Grades 2 through 4. The latent trait model also fared well but did not account for the same amount of variance as any of the individual measurement models for any of the grades. The findings lay the foundation for an empirically based approach to cognitive assessment in Grade 1 for identifying potential at-risk students in later elementary grades and suggest potential underlying neurocognitive abilities that could be employed with educational interventions for students with later-emerging writing disabilities.

Download Full-text

Advantages of latent trait measurement in language testing

Language Testing ◽

10.1177/026553228400100201 ◽

1984 ◽

Vol 1 (2) ◽

pp. 123-133 ◽

Cited By ~ 14

Author(s):

Grant Henning

Keyword(s):

Latent Trait ◽

Language Testing ◽

Trait Measurement

Download Full-text

FACT-2 – The Frankfurt Adaptive Concentration Test

European Journal of Psychological Assessment ◽

10.1027/1015-5759.25.2.73 ◽

2009 ◽

Vol 25 (2) ◽

pp. 73-82 ◽

Cited By ~ 9

Author(s):

Frank Goldhammer ◽

Helfried Moosbrugger ◽

Sabine A. Krawietz

Keyword(s):

Convergent Validity ◽

Four Dimensions ◽

Measurement Models ◽

Cognitive Failures ◽

Concentration Test ◽

Cognitive Failures Questionnaire

The Frankfurt Adaptive Concentration Test (FACT-2) requires discrimination between geometric target and nontarget items as quickly and accurately as possible. Three forms of the FACT-2 were constructed, namely FACT-I, FACT-S, and FACT-SR. The aim of the present study was to investigate the convergent validity of the FACT-SR with self-reported cognitive failures. The FACT-SR and the Cognitive Failures Questionnaire (CFQ) were completed by 191 participants. The measurement models confirmed the concentration performance, concentration accuracy, and concentration homogeneity dimensions of FACT-SR. The four dimensions of the CFQ (i.e., memory, distractibility, blunders, and names) were not confirmed. The results showed moderate convergent validity of concentration performance, concentration accuracy, and concentration homogeneity with two CFQ dimensions, namely memory and distractibility/blunders.

Download Full-text

An IRT Investigation of the Validity of Non-Patient Analogue Research Using the Beck Depression Inventory

European Journal of Psychological Assessment ◽

10.1027/1015-5759.11.1.14 ◽

1995 ◽

Vol 11 (1) ◽

pp. 14-20 ◽

Cited By ~ 22

Author(s):

Sean M. Hammond

Keyword(s):

Differential Item Functioning ◽

Beck Depression Inventory ◽

Rating Scale ◽

Latent Trait ◽

Scale Model ◽

Item Functioning ◽

Two Samples ◽

Patient Groups ◽

Analogue Research ◽

Rating Scale Model

This paper presents an IRT analysis of the Beck Depression Inventory which was carried out to assess the assumption of an underlying latent trait common to non-clinical and patient samples. A one parameter rating scale model was fitted to data drawn from a patient and non-patient sample. Findings suggest that while the BDI fits the model reasonably well for the two samples separately there is sufficient differential item functioning to raise serious duobts of the viability of using it analogously with patient and non-patient groups.

Download Full-text

Forced Zero Cross-Loading Misspecifications in Measurement Component of Structural Equation Models

Methodology ◽

10.1027/1614-2241/a000084 ◽

2014 ◽

Vol 10 (4) ◽

pp. 138-152 ◽

Cited By ~ 5

Author(s):

Hsien-Yuan Hsu ◽

Susan Troncoso Skidmore ◽

Yan Li ◽

Bruce Thompson

Keyword(s):

Structural Equation ◽

Structural Model ◽

Structural Equation Models ◽

Equation Model ◽

Model Fit ◽

Model Specification ◽

Simulation Design ◽

Measurement Models ◽

Fit Statistics ◽

Path Coefficients

The purpose of the present paper was to evaluate the effect of constraining near-zero parameter cross-loadings to zero in the measurement component of a structural equation model. A Monte Carlo 3 × 5 × 2 simulation design was conducted (i.e., sample sizes of 200, 600, and 1,000; parameter cross-loadings of 0.07, 0.10, 0.13, 0.16, and 0.19 misspecified to be zero; and parameter path coefficients in the structural model of either 0.50 or 0.70). Results indicated that factor pattern coefficients and factor covariances were overestimated in measurement models when near-zero parameter cross-loadings constrained to zero were higher than 0.13 in the population. Moreover, the path coefficients between factors were misestimated when the near-zero parameter cross-loadings constrained to zero were noteworthy. Our results add to the literature detailing the importance of testing individual model specification decisions, and not simply evaluating omnibus model fit statistics.

Download Full-text