scholarly journals Validating the GMQ-F in a Canadian Sample of University Students

2020 ◽  
Vol 44 ◽  
Author(s):  
Jason Pchajek ◽  
Jason D Edgerton ◽  
Lance W Roberts
Keyword(s):  
University Students ◽  
Model Fit ◽  
Confirmatory Factor ◽  
Study Support ◽  
Aspect Social ◽  
And Coping ◽  
Student Gambling ◽  
Gambling Motivation ◽  
Gambling Frequency ◽  
Initial Results

This study assesses the psychometric properties of the Gambling Motivation Questionnaire for Financial Motivations (GMQ-F) in a Canadian sample of emerging adult university students. Confirmatory factor analysis was first used to test a 16-item GMQ-F for model fit, and then multiple regression analysis was used to test the predictive utility of the four subscales/factors. Results confirmed that the GMQ-F is a valid and reliable measure of university student gambling motivations, in accordance with the four-factor structure proposed by Dechant (2014) despite poor initial results. Regression results were mixed: Three of the four subscales (enhancement, social, and coping) were significant predictors of problem gambling and gambling variety, only the enhancement and coping subscales were significant predictors of gambling frequency, and none of the subscales significantly predicted average monthly expenditure on gambling. The implications of this study support further refinement of the GMQ-F, as differing results from the current study and from prior work on normative samples point to a different reliance on motivational categories or different motivational categories entirely.RésuméCette étude évalue les propriétés psychométriques de l’échelle de motivations financières relatives aux jeux de hasard et d’argent (GMQ-F) auprès d’un échantillon canadien d’étudiants universitaires jeunes adultes. La première analyse factorielle confirmatoire (AFC) a été utilisée pour tester l’ajustement du modèle du GMQ-F à 16 éléments, puis une régression multiple a été utilisée pour tester l’utilité prédictive des quatre sous-échelles/facteurs. Les résultats ont confirmé que le GMQ-F est une mesure valide et fiable des motivations au jeu des étudiants universitaires, suivant la structure à quatre facteurs proposée par Dechant (2014), malgré de faibles résultats initiaux. Les résultats de la régression étaient mitigés : trois des quatre sous-échelles (amélioration, aspect social et adaptation) étaient des prédicteurs significatifs du jeu problématique et de la variété de jeu; tandis que seules l’amélioration et l’adaptation étaient des prédicteurs significatifs de la fréquence du jeu. Aucune des sous-échelles n’a prédit de manière significative les dépenses mensuelles moyennes consacrées aux jeux de hasard. Ce projet a pour effet d’encourager une amélioration du GMQ-F, car la différence des résultats entre l’étude actuelle et des travaux antérieurs sur des échantillons normatifs indique une dépendance différente à l’égard des catégories de motivation, voire différentes catégories de motivation entièrement.

Pure Emotion-loaded Materials in the International Affective Digitized Sounds (IADS): A Study on Intensity Ratings in Chinese University Students

2019 ◽  
Vol 15 (3) ◽  
pp. 199-208
Author(s):  
Jiawei Wang ◽  
Yanli Jia ◽  
Xu Shao ◽  
Chu Wang ◽  
Wei Wang
Keyword(s):  
University Students ◽  
Model Fit ◽  
Future Research ◽  
Fit Indices ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Chinese University ◽  
Five Factors ◽  
Confirmatory Factor ◽  
Model Fit Indices

Background: Materials loaded with pure emotion are essential for basic and clinical research on sounds. The International Affective Digitized Sounds (IADS) is one of the widely-used emotional tools, but its materials are not clearly labeled with specific emotions. We have hypothesized that the IADS contains pure vectors of at least disgust, erotica (or erotism), fear, happiness, sadness and neutral emotions. Methods: We therefore selected 48 IADS sounds with saturate emotions, and invited 271 male and 353 female university students to rate the intensity of the emotions conveyed in each sound. The ratings were then analyzed with the exploratory and confirmatory factor analyses. Results: Five factors were observed, namely: erotica, fear-sadness, happiness, neutrality, and disgust. Later, as two facets, sounds of fear-sadness were separated. Thirty sounds under six facets were finally retained with good model-fit indices and satisfactory factor internal reliabilities. Moreover, males scored significantly higher on erotica than females did. Conclusion: Our study purified a series of emotion-loaded IADS sounds, which might help clarify the pure effects of sound emotion in future research and clinical management of affective disorders.

Exploring the Multidimensional Facets of Authoritarianism: Authoritarian Aggression and Social Dominance Orientation

2008 ◽  
Vol 67 (1) ◽  
pp. 51-60 ◽  
Author(s):  
Stefano Passini
Keyword(s):  
Social Dominance ◽  
Factor Model ◽  
Three Dimensional ◽  
Social Dominance Orientation ◽  
Model Fit ◽  
Regression Analyses ◽  
One Dimensional ◽  
Confirmatory Factor ◽  
The One ◽  
Better Than

The relation between authoritarianism and social dominance orientation was analyzed, with authoritarianism measured using a three-dimensional scale. The implicit multidimensional structure (authoritarian submission, conventionalism, authoritarian aggression) of Altemeyer’s (1981, 1988) conceptualization of authoritarianism is inconsistent with its one-dimensional methodological operationalization. The dimensionality of authoritarianism was investigated using confirmatory factor analysis in a sample of 713 university students. As hypothesized, the three-factor model fit the data significantly better than the one-factor model. Regression analyses revealed that only authoritarian aggression was related to social dominance orientation. That is, only intolerance of deviance was related to high social dominance, whereas submissiveness was not.

Mindfulness or Mindlessness?

2011 ◽  
Vol 27 (1) ◽  
pp. 59-64 ◽  
Author(s):  
Volkmar Höfling ◽  
Helfried Moosbrugger ◽  
Karin Schermelleh-Engel ◽  
Thomas Heidenreich
Keyword(s):  
Construct Validity ◽  
Model Fit ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Mindful Attention ◽  
Confirmatory Factor ◽  
Item Wording ◽  
Method Effects

The 15 items of the Mindful Attention and Awareness Scale (MAAS; Brown & Ryan, 2003 ) are negatively worded and assumed to assess mindfulness. However, there are indications of differences between the original MAAS and a version with the positively rephrased MAAS items (“mirror items”). The present study examines whether the mindfulness facet “mindful attention and awareness” (MAA) can be measured with both positively and negatively worded items if we take method effects due to item wording into account. To this end, the 15 negatively worded items of the MAAS and additionally 13 positively rephrased items were assessed (N = 602). Confirmatory factor analyses (CFA) models with and without regard to method effects were carried out and evaluated by means of model fit. As a result, the positively and negatively worded items should be seen as different methods that influence the construct validity of mindfulness. Furthermore, a modified version of the MAAS (MAAS-Short) with five negatively worded items (taken from the MAAS) and five positively worded items (“mirror items”) was introduced as an alternative to assess MAA. The MAAS-Short appears superior to the original MAAS. The results and the limitations of the present study are discussed.

Factorial Structure of the Therapist Adherence Measure-Revised (TAM-R) Within Multisystemic Therapy

2020 ◽  
Vol 36 (2) ◽  
pp. 427-431
Author(s):  
Aurelie M. C. Lange ◽  
Marc J. M. H. Delsing ◽  
Ron H. J. Scholte ◽  
Rachel E. A. van der Rijken
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Multisystemic Therapy ◽  
Model Fit ◽  
Validity And Reliability ◽  
Adherence Measure ◽  
Therapist Adherence ◽  
Confirmatory Factor ◽  
The Us

Abstract. The Therapist Adherence Measure (TAM-R) is a central assessment within the quality-assurance system of Multisystemic Therapy (MST). Studies into the validity and reliability of the TAM in the US have found varying numbers of latent factors. The current study aimed to reexamine its factor structure using two independent samples of families participating in MST in the Netherlands. The factor structure was explored using an Exploratory Factor Analysis (EFA) in Sample 1 ( N = 580). This resulted in a two-factor solution. The factors were labeled “therapist adherence” and “client–therapist alliance.” Four cross-loading items were dropped. Reliability of the resulting factors was good. This two-factor model showed good model fit in a subsequent Confirmatory Factor Analysis (CFA) in Sample 2 ( N = 723). The current finding of an alliance component corroborates previous studies and fits with the focus of the MST treatment model on creating engagement.

Probability-Based and Measurement-Related Hypotheses With Full Restriction for Investigations by Means of Confirmatory Factor Analysis

Methodology ◽  
2011 ◽  
Vol 7 (4) ◽  
pp. 157-164
Author(s):  
Karl Schweizer
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Processing ◽  
Latent Variables ◽  
Repeated Measures ◽  
Latent Variable ◽  
Model Fit ◽  
Repeated Measures Data ◽  
Confirmatory Factor ◽  
And Performance

Probability-based and measurement-related hypotheses for confirmatory factor analysis of repeated-measures data are investigated. Such hypotheses comprise precise assumptions concerning the relationships among the true components associated with the levels of the design or the items of the measure. Measurement-related hypotheses concentrate on the assumed processes, as, for example, transformation and memory processes, and represent treatment-dependent differences in processing. In contrast, probability-based hypotheses provide the opportunity to consider probabilities as outcome predictions that summarize the effects of various influences. The prediction of performance guided by inexact cues serves as an example. In the empirical part of this paper probability-based and measurement-related hypotheses are applied to working-memory data. Latent variables according to both hypotheses contribute to a good model fit. The best model fit is achieved for the model including latent variables that represented serial cognitive processing and performance according to inexact cues in combination with a latent variable for subsidiary processes.

Is That Measure Really One-Dimensional?

Methodology ◽  
2018 ◽  
Vol 14 (4) ◽  
pp. 188-196 ◽  
Author(s):  
Esther T. Beierl ◽  
Markus Bühner ◽  
Moritz Heene
Keyword(s):  
Model Fit ◽  
Nuisance Parameters ◽  
Factorial Validity ◽  
Fit Indices ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
One Dimensional ◽  
Confirmatory Factor Analysis Model ◽  
Cutoff Values ◽  
Confirmatory Factor

Abstract. Factorial validity is often assessed using confirmatory factor analysis. Model fit is commonly evaluated using the cutoff values for the fit indices proposed by Hu and Bentler (1999) . There is a body of research showing that those cutoff values cannot be generalized. Model fit does not only depend on the severity of misspecification, but also on nuisance parameters, which are independent of the misspecification. Using a simulation study, we demonstrate their influence on measures of model fit. We specified a severe misspecification, omitting a second factor, which signifies factorial invalidity. Measures of model fit showed only small misfit because nuisance parameters, magnitude of factor loadings and a balanced/imbalanced number of indicators per factor, also influenced the degree of misfit. Drawing from our results, we discuss challenges in the assessment of factorial validity.

Dental fear and coping among university students in Ghana

2010 ◽  
Author(s):  
Marian A. Ofori ◽  
Tom A. Ndanu ◽  
Ernest A. Nyako
Keyword(s):  
University Students ◽  
Dental Fear ◽  
And Coping

Understanding Perception of Weight Stigma: Development and Validation of Perceived Weight Stigmatization Scale

2020 ◽  
Vol 34 (4) ◽  
pp. 869-897
Author(s):  
Atiqa Rafeh ◽  
Rubina Hanif
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
University Students ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Weight Stigma ◽  
Principal Component Factor Analysis ◽  
Confirmatory Factor ◽  
Perceived Weight ◽  
Weight Stigmatization

The present study was intended to develop a scale to measure perceived weight stigmatization among people with obesity. The study was conducted in five steps. In first step, three focus group discussions were conducted with female obese university students to get the first-hand information related to weight stigmatization. Step two involved four interviews which were conducted with male obese university students to collect detailed information about weight stigmatization experiences of men. Step three included content analysis of qualitative data for item generation. In step four, judge’s opinion was taken, and a committee approach was carried out to select the items for the initial form of the scale. Items for final form of the scale were selected through exploratory factor analysis and confirmatory factor analysis in step five. For exploratory factor analysis, 150 university students (men = 61, women = 89) were included in the sample, whereas, for confirmatory factor analysis, another group of students (men = 78, women = 72) participated in the study. Principal Component Factor Analysis revealed three meaningful structures including Self-Perception, Perceived Social Rejection, and Perceived Impact containing 43 items. Confirmatory factor analysis confirmed this factor structure and all 43 items possessed factor loadings greater than .40. Moreover, results indicated that perceived weight stigmatization had high internal consistency (Cronbach’s alpha = .96) with three subscales having internal consistency .95, .83, and .92 respectively. Therefore, Perceived Weight Stigmatization Scale turned out to be a reliable and valid instrument for measuring perception of weight stigma in adults with obesity.

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