Mealtime Caregiving Engagement for Residents with Advanced Dementia: Item Response Theory Analysis

2020 ◽  
pp. 019394592094389 ◽  
Author(s):  
Wen Liu ◽  
Melissa Batchelor
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Rasch Model ◽  
Latent Trait ◽  
Secondary Analysis ◽  
Reliability And Validity ◽  
Response Model ◽  
Advanced Dementia ◽  
Response Theory ◽  
Item Functioning

The 18-item Mealtime Engagement Scale was developed to measure mealtime caregiving engagement with preliminary reliability and validity. Item Response Theory models (i.e., Rasch model and Rating Response Model) may provide insight into item functioning. This was a secondary analysis of 87 videotaped mealtime observations involving 18 nursing home staff providing care to residents with advanced dementia. In both models, item difficulties were distributed considerably along the latent trait and highly correlated. Two thirds of the 18 items were located at the moderate level of mealtime engagement. “Providing one-on-one assistance” was most frequently observed, and “re-approaching individual to continue meal” was least frequently observed. All items showed desirable fit to the models. The Rasch model had a significantly smaller deviance than the Rating Response Model, indicating an overall better fit. Findings provided preliminary support for item functioning and pointed out directions for item revisions. Future testing in larger diverse samples is needed.

scholarly journals A Multidimensional Item Response Theory Model for Continuous and Graded Responses With Error in Persons and Items

2021 ◽  
pp. 001316442199841
Author(s):  
Pere J. Ferrando ◽  
David Navarro-González
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Theory Model ◽  
Response Model ◽  
Response Theory ◽  
Continuous Response ◽  
Graded Responses ◽  
Graded Response ◽  
Continuous Responses ◽  
Differential Measurement Error

Item response theory “dual” models (DMs) in which both items and individuals are viewed as sources of differential measurement error so far have been proposed only for unidimensional measures. This article proposes two multidimensional extensions of existing DMs: the M-DTCRM (dual Thurstonian continuous response model), intended for (approximately) continuous responses, and the M-DTGRM (dual Thurstonian graded response model), intended for ordered-categorical responses (including binary). A rationale for the extension to the multiple-content-dimensions case, which is based on the concept of the multidimensional location index, is first proposed and discussed. Then, the models are described using both the factor-analytic and the item response theory parameterizations. Procedures for (a) calibrating the items, (b) scoring individuals, (c) assessing model appropriateness, and (d) assessing measurement precision are finally discussed. The simulation results suggest that the proposal is quite feasible, and an illustrative example based on personality data is also provided. The proposals are submitted to be of particular interest for the case of multidimensional questionnaires in which the number of items per scale would not be enough for arriving at stable estimates if the existing unidimensional DMs were fitted on a separate-scale basis.

scholarly journals Assessing the physical violence component of the Revised Conflict Tactics Scales when used in heterosexual couples: an item response theory analysis

2007 ◽  
Vol 23 (1) ◽  
pp. 53-62 ◽  
Author(s):  
Michael E. Reichenheim ◽  
Ruben Klein ◽  
Claudia Leite Moraes
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Physical Violence ◽  
Latent Trait ◽  
Heterosexual Couples ◽  
Heterosexual Relationships ◽  
Response Theory ◽  
Conflict Tactics Scales ◽  
Conflict Tactics ◽  
Revised Conflict Tactics Scales

Although there are psychometric evaluations of the Revised Conflict Tactics Scales (CTS2) when applied to heterosexual relationships, none has used item response theory (IRT). To address this gap, the present paper assesses the instrument's physical violence subscale. The CTS2 was applied to 764 women who also responded for their partners. Single dimensionality assumption was corroborated. A 2-parameter logistic IRT model was used for estimating location and discriminating power of each item. Differential item functioning and item information pattern along the violence continuum were assessed. Gender differences were detected in 3 out of 12 items. Item coverage of the latent trait spectrum indicated little information at the lower ends, while plenty in the middle and upper ranges. Still, depending on gender, some item overlaps and regions with gaps could be detected. Despite some unresolved problems, the analysis shows that the items form a theoretically coherent information set across the continuum. Provided the user is aware of possible drawbacks, using the physical violence subscale of the CTS2 in heterosexual couples is still a sensible option.

scholarly journals Item Response Theory Analysis of ADHD Symptoms in Children With and Without ADHD

Assessment ◽  
2016 ◽  
Vol 23 (6) ◽  
pp. 655-671 ◽  
Author(s):  
James J. Li ◽  
Steven P. Reise ◽  
Andrea Chronis-Tuscano ◽  
Amori Yee Mikami ◽  
Steve S. Lee
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Latent Trait ◽  
Dimensional Structure ◽  
Adhd Symptoms ◽  
Response Theory ◽  
Confirmatory Factor Analyses ◽  
Item Response Theory Analysis ◽  
Graded Response ◽  
Moderate Range

Item response theory (IRT) was separately applied to parent- and teacher-rated symptoms of attention-deficit/hyperactivity disorder (ADHD) from a pooled sample of 526 six- to twelve-year-old children with and without ADHD. The dimensional structure ADHD was first examined using confirmatory factor analyses, including the bifactor model. A general ADHD factor and two group factors, representing inattentive and hyperactive/impulsive dimensions, optimally fit the data. Using the graded response model, we estimated discrimination and location parameters and information functions for all 18 symptoms of ADHD. Parent- and teacher-rated symptoms demonstrated adequate discrimination and location values, although these estimates varied substantially. For parent ratings, the test information curve peaked between −2 and +2 SD, suggesting that ADHD symptoms exhibited excellent overall reliability at measuring children in the low to moderate range of the general ADHD factor, but not in the extreme ranges. Similar results emerged for teacher ratings, in which the peak range of measurement precision was from −1.40 to 1.90 SD. Several symptoms were comparatively more informative than others; for example, is often easily distracted (“Distracted”) was the most informative parent- and teacher-rated symptom across the latent trait continuum. Clinical implications for the assessment of ADHD as well as relevant considerations for future revisions to diagnostic criteria are discussed.

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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