Confirmatory factor analysis and item response theory analysis of the Whiteley Index. Results from a large population based study in Norway. The Hordaland Health Study (HUSK)

2014 ◽  
Vol 77 (3) ◽  
pp. 213-218 ◽  
Author(s):  
Kari-Elise Frøystad Veddegjærde ◽  
Børge Sivertsen ◽  
Ingvard Wilhelmsen ◽  
Jens Christoffer Skogen
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Item Response ◽  
Large Population ◽  
Population Based ◽  
Health Study ◽  
Theory Analysis ◽  
Population Based Study ◽  
Item Response Theory Analysis ◽  
Confirmatory Factor

The Hierarchical Model of Exercise Dependence

2015 ◽  
Vol 36 (4) ◽  
pp. 247-257 ◽  
Author(s):  
Gayatri Kotbagi ◽  
Laurence Kern ◽  
Lucia Romo ◽  
Ramesh Pathare
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Physical Exercise ◽  
Exploratory Factor Analysis ◽  
Convergent Validity ◽  
Large Population ◽  
Assessment Tools ◽  
Negative Consequences ◽  
Confirmatory Factor ◽  
Preliminary Version

Abstract. Physical exercise when done excessively may have negative consequences on physical and psychological wellbeing. There exist many scales to measure this phenomenon. The purpose of this article is to create a scale measuring the problematic practice of physical exercise (PPPE Scale) by combining two assessment tools already existing in the field of exercise dependency but anchored in different approaches (EDS-R and EDQ). This research consists of three studies carried out on three independent sample populations. The first study (N = 341) tested the construct validity (exploratory factor analysis); the second study (N = 195) tested the structural validity (confirmatory factor analysis) and the third study (N = 104) tested the convergent validity (correlations) of the preliminary version of the PPPE scale. Exploratory factor analysis identified six distinct dimensions associated with exercise dependency. Furthermore, confirmatory factor analysis validated a second order model consisting of 25 items with six dimensions and four sub-dimensions. The convergent validity of this scale with other constructs (GLTEQ, EAT26, and The Big Five Inventory [BFI]) is satisfactory. The preliminary version of the PPPE must be administered to a large population to refine its psychometric properties and develop scoring norms.

The Structure of Violent Behavior

2006 ◽  
Vol 33 (6) ◽  
pp. 706-737 ◽  
Author(s):  
Christine Michie ◽  
David J. Cooke
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Item Response ◽  
Community Violence ◽  
Lower Order ◽  
Violent Behavior ◽  
Confirmatory Factor ◽  
Violent Acts ◽  
Weapon Use ◽  
Best Fit

Common difficulties in measures of violent behavior are their multidimensional nature, the nonempirical ordering of violent acts, the inclusion of undiscriminating items, and differential precision of measurement across the range of seriousness. Data collected on a sample of 250 male Scottish prisoners, using the MacArthur Community Violence Screening Instrument, are examined using confirmatory factor analysis and item response theory (IRT) analysis. A hierarchical model with a coherent superordinate factor overarching two lower order factors—violence based on weapon use and violence without weapon use—provide the best fit to the data. The ordering of the items on the scale does not conform to the order indicated by IRT analysis. Items vary considerably in the amount of information they provide, with the precision of measurement of the total scale being poor at high levels of the scale. Ways of improving the measurement of violence are discussed.

scholarly journals Psychometric Properties and Structures of the IAT, GPIUS and GAS Scales: A Bifactor Approach

2019 ◽  
Vol 13 ◽  
Author(s):  
Lingling Xu ◽  
Yan Cai ◽  
Dongbo Tu
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Item Response ◽  
Internet Addiction ◽  
Self Report ◽  
Item Response Model ◽  
Multidimensional Item Response ◽  
Test Information ◽  
Confirmatory Factor

AbstractThis study applied a bifactor approach to investigate the structures and simultaneously compare the psychometric properties of three popular self-report internet addiction (IA) instruments. A bifactor confirmatory factor analysis was used to address the structures of the three scales, while the bifactor multidimensional item response model was employed to compare the psychometric properties of the three scales. Results of bifactor confirmatory factor analysis (CFA) showed that the bifactor structures were suitable for the three scales. These corresponding bifactor structures were used in the subsequent bifactor multidimensional item response theory (MIRT) analysis. Results of the bifactor MIRT showed that: three instruments of IA performed well as a whole; the Generalised Problematic Internet Use Scale (GPIUS) and Internet Addiction Test (IAT) provided more test information and had less standard error of measurement, which ranged from −3 to −1 standard deviations of theta or IA severity; the Game Addiction Scale (GAS) performed better than the other two scales in that it can provide more test information in the large area of IA severity (from −1 to +3 SDs). These suggest that the GPIUS and IAT may be the best choice for epidemiological IA studies and for measuring those with lower IA severity. Meanwhile, the GAS may be a good choice when we recruit those with various levels of IA severity.

Sign in / Sign up

Export Citation Format

Share Document