Examining the Psychometric Validity of the Five-Item Gratitude Questionnaire: An Item Response Theory Approach

2018 ◽  
Vol 38 (4) ◽  
pp. 529-536 ◽  
Author(s):  
Jana Patricia M. Valdez ◽  
Samuel Kai Wah Chu

The present investigation explored the psychometric validity of the five-item Gratitude Questionnaire (GQ-5) using a construct validation approach. Concerning within-network construct validity, results of item response theory (IRT) analysis via graded response model (GRM) showed that this scale could not discriminate individuals who score high in gratitude and the 7-scale response options could be modified to a 6-scale response choice. As regards to between-network construct validity, findings demonstrated that gratitude was positively correlated to both controlled and autonomous motivation. Implications are discussed to refine the assessment of gratitude in the school contexts.

Author(s):  

There are three purposes of this paper. The first is to present a brief introduction to item response theory in conjunction with marketing research. The second is to present a review of the current uses of item response theory in representative marketing research journals. The third is to present an example that illustrate and contrasts classical test theory and item response theory approaches to item and scale analysis. Several item response theory relevant papers were recently published in various marketing research journals. Because models under item response theory, from simple to complex, were used without any systematic introduction in marketing research, this paper briefly presents the main concepts in item response theory. A content analysis was done for the second purpose with 30 item response theory relevant articles in marketing research journals. Articles were sorted based on the taxonomy of item response theory models. Many articles reviewed relied on some type of unidimensional dichotomous item response theory models. Articles published recently within the past 10 years used more complicated item response theory models, both mathematically and statistically, than other previously published articles in marketing research journals. Lastly, data from a scale with three Likert-type items of four response categories were analysed using a traditional approach based on item statistics and coefficient alpha as well as using an item response theory approach by employing the graded response model. Main concepts of item response theory were explicated with figures.


2020 ◽  
Author(s):  
Katherine N. Cotter ◽  
David Chen ◽  
Alexander P. Christensen ◽  
Kyung Yong Kim ◽  
Paul Silvia

The Aesthetic Fluency Scale is a commonly used measure of people’s art knowledge. This scale was initially developed for museum visitors, but its usage has expanded to other populations, including non-arts students. The present research used an Item Response Theory approach to better understand the scale’s functioning in two samples—artistically engaged individuals (i.e., museum visitors and art students) and non-arts students—and any differences in scale properties between the samples (i.e., differential item functioning). Overall, terms related to art styles were easiest, the non-arts students had lower scores than the artistically engaged, and most items showed marked differences between the two samples. These results suggest that using this scale to draw comparisons between these populations is inappropriate. Our results also identify avenues for future development of the scale, including expanding the pool of terms used and revisiting the number of response options.


2021 ◽  
Vol 117 ◽  
pp. 106849
Author(s):  
Danilo Carrozzino ◽  
Kaj Sparle Christensen ◽  
Giovanni Mansueto ◽  
Fiammetta Cosci

2021 ◽  
pp. 001316442199841
Author(s):  
Pere J. Ferrando ◽  
David Navarro-González

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.


2014 ◽  
Vol 22 (2) ◽  
pp. 323-341 ◽  
Author(s):  
Dheeraj Raju ◽  
Xiaogang Su ◽  
Patricia A. Patrician

Background and Purpose: The purpose of this article is to introduce different types of item response theory models and to demonstrate their usefulness by evaluating the Practice Environment Scale. Methods: Item response theory models such as constrained and unconstrained graded response model, partial credit model, Rasch model, and one-parameter logistic model are demonstrated. The Akaike information criterion (AIC) and Bayesian information criterion (BIC) indices are used as model selection criterion. Results: The unconstrained graded response and partial credit models indicated the best fit for the data. Almost all items in the instrument performed well. Conclusions: Although most of the items strongly measure the construct, there are a few items that could be eliminated without substantially altering the instrument. The analysis revealed that the instrument may function differently when administered to different unit types.


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