scholarly journals College alcohol beliefs: Measurement invariance, mean differences, and correlations with alcohol use outcomes across sociodemographic groups.

2019 ◽  
Vol 66 (4) ◽  
pp. 487-495 ◽  
Author(s):  
P. Priscilla Lui
Keyword(s):  
Alcohol Use ◽  
Measurement Invariance ◽  
Mean Differences ◽  
Alcohol Beliefs

scholarly journals College Alcohol Beliefs: Measurement Invariance, Mean Differences, and Correlations with Alcohol Use Outcomes across Sociodemographic Groups

2018 ◽  
Author(s):  
P. Priscilla Lui
Keyword(s):  
Alcohol Use ◽  
Undergraduate Students ◽  
Hazardous Alcohol Use ◽  
Confirmatory Factor Analyses ◽  
College Life ◽  
Drinking Problems ◽  
College Population ◽  
Scalar Invariance ◽  
Mean Differences ◽  
Alcohol Beliefs

Undergraduate students who believe that alcohol plays a central role in college life are prone to drink more frequently, in larger quantity, and experience more drinking problems. The College Life Alcohol Salience Scale (CLASS) measures individuals’ college-related alcohol beliefs, but has been used predominantly in Euro American and freshman student samples. Emerging research suggests mean differences in college alcohol beliefs by gender and years in college, and measurement nonequivalence across nations. It remained unclear whether the CLASS functioned the same way across segments of the U.S. college population, whether students across sociodemographic groups differed in their college alcohol beliefs, and the extent to which these beliefs predicted their drinking-related outcomes. This study included 1,148 undergraduates (Mage = 19.95; 65.0% women; 44.9%, 19.9%, 10.3%, and 16.7% Euro, Asian, African, and Latinx Americans, respectively). Most students lived on campus (69.9%) and were not affiliated with the Greek system (65.7%). Multigroup confirmatory factor analyses supported scalar invariance of the CLASS scores across gender, years in college, and campus residence. The scale data achieved metric invariance and partial scalar invariance for ethnicity and Greek membership status. Associations between college alcohol beliefs and alcohol consumption, and drinking problems, were equivalent across sociodemographic categories, but differences in latent mean scores were found across gender, ethnicity, and Greek affiliations. Clinical utility of the CLASS and implications for considering college alcohol beliefs as a risk factor for hazardous alcohol use are discussed.

Analyzing Observed Composite Differences Across Groups

Methodology ◽  
2013 ◽  
Vol 9 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Holger Steinmetz
Keyword(s):  
Monte Carlo ◽  
Structural Equation Modeling ◽  
Measurement Invariance ◽  
Structural Equation ◽  
Monte Carlo Study ◽  
Equation Modeling ◽  
Factor Loadings ◽  
Latent Mean Differences ◽  
Partial Invariance ◽  
Mean Differences

Although the use of structural equation modeling has increased during the last decades, the typical procedure to investigate mean differences across groups is still to create an observed composite score from several indicators and to compare the composite’s mean across the groups. Whereas the structural equation modeling literature has emphasized that a comparison of latent means presupposes equal factor loadings and indicator intercepts for most of the indicators (i.e., partial invariance), it is still unknown if partial invariance is sufficient when relying on observed composites. This Monte-Carlo study investigated whether one or two unequal factor loadings and indicator intercepts in a composite can lead to wrong conclusions regarding latent mean differences. Results show that unequal indicator intercepts substantially affect the composite mean difference and the probability of a significant composite difference. In contrast, unequal factor loadings demonstrate only small effects. It is concluded that analyses of composite differences are only warranted in conditions of full measurement invariance, and the author recommends the analyses of latent mean differences with structural equation modeling instead.

Longitudinal and Gender Measurement Invariance of the Gratitude Questionnaire in Chinese Adolescents

2021 ◽  
pp. 003329412110360
Author(s):  
Qingsong Tan ◽  
Jilin Zou ◽  
Feng Kong
Keyword(s):  
Measurement Invariance ◽  
Time Interval ◽  
Longitudinal Measurement Invariance ◽  
Multiple Group ◽  
Longitudinal Measurement ◽  
Confirmatory Factor ◽  
Adolescent Sample ◽  
Good Internal Consistency ◽  
And Gender ◽  
Mean Differences

The 5-item Gratitude Questionnaire (GQ-5) is one of the most commonly used instruments to measure dispositional gratitude in adolescents. The purpose of this study was to verify the longitudinal measurement invariance (LMI) and gender measurement invariance (GMI) of the GQ-5 that was administered to an adolescent sample twice over the course of 18 months ( N = 669). Single-group confirmatory factor analysis (CFA) was adopted to examine the LMI and multiple-group CFA was conducted to assess the GMI. The results showed that the GQ-5 had strong invariance (i.e., equality of factor patterns, loadings, and intercepts) across time and gender. Validation of latent factor mean differences showed that females had higher gratitude scores than males. In addition, the GQ-5 exhibited good internal consistency indices across time and a moderate stability coefficient was also found across an 18-month time interval in adolescents. In summary, our study showed that LMI and GMI of the GQ-5 are satisfactory and the GQ-5 is a reliable instrument for measuring gratitude in adolescents.

scholarly journals Measurement invariance of the short Warwick-Edinburgh Mental Wellbeing Scale and latent mean differences (SWEMWBS) in young people by current care status

2021 ◽  
Author(s):  
Rebecca Anthony ◽  
Graham Moore ◽  
Nicholas Page ◽  
Gillian Hewitt ◽  
Simon Murphy ◽  
...  
Keyword(s):  
Young People ◽  
Measurement Invariance ◽  
Assessment Tools ◽  
Research Network ◽  
Mental Wellbeing ◽  
Short Version ◽  
Living Situation ◽  
Children And Young People ◽  
Mean Differences ◽  
Children In Care

Abstract Purpose Studying mental wellbeing requires the use of reliable, valid, and practical assessment tools, such as the Short version of the Warwick-Edinburgh Mental Wellbeing Scale (SWEMWBS). Research on the mental wellbeing of children in care is sparse. The current study aims to: (1) examine the unidimensionality of SWEMWBS; (2) assess measurement invariance of SWEMWBS across children and young people in care compared to their peers not in care; and (3) investigate the latent factor mean differences between care status groups. Methods We used data from the 2017 School Health Research Network Student Health and Wellbeing (SHW) survey, completed by 103,971 students in years 7 to 11 from 193 secondary schools in Wales. The final data include a total of 2,795 participants (46% boys), which includes all children in care and a sub-sample of children not in care who completed the SWEMWBS scale fully and answered questions about their living situation. Results Confirmatory factor analysis supported the unidimensionality of SWEMWBS. The SWEMWBS is invariant across groups of young people in foster, residential and kinship care compared to children and young people not in care at configural, metric and scalar levels. Findings from latent mean comparisons showed that young people in care reported lower mental wellbeing than their peers, with those in residential care reporting the lowest scores. Conclusions Findings suggest that SWEMWBS is a valid scale for measuring differences in mental wellbeing for young people in care similar to the population.

Psychometric Properties and Measurement Invariance Across Sex of the Wong and Law Emotional Intelligence Scale in Chinese adolescents

2020 ◽  
pp. 003329412097263
Author(s):  
Meilin Di ◽  
Xinping Deng ◽  
Jingjing Zhao ◽  
Feng Kong
Keyword(s):  
Emotional Intelligence ◽  
Measurement Invariance ◽  
Factor Model ◽  
Chinese Adolescents ◽  
Female Adolescents ◽  
Intelligence Scale ◽  
Male Adolescents ◽  
Latent Mean Differences ◽  
Emotional Appraisal ◽  
Mean Differences

The aim of this study was to validate the Wong and Law Emotional Intelligence Scale (WLEIS) in Chinese adolescents by examining factor structure, sex-related measurement invariance and latent mean differences, reliability, and criterion-related validity.A total of 1674 Chinese adolescents aged 12–17 years old (Mage = 15.26, SD = .58) were recruited. Results of confirmatory factor analysis (CFA) supported the four-factor model of the WLEIS as the best fit to the data. Multi-group CFA suggested that the measurement structure of the WLEIS was invariant across sex. Testing for the latent mean differences showed that male adolescents scored lower on the Other-Emotional Appraisal subscale, but scored higher on the Regulation of Emotion subscale than female adolescents. Furthermore, all the subscales of male and female adolescents had satisfactory composite reliability. Finally, the WLEIS had favorable criterion-related validity with self-esteem, life satisfaction, positive affect, negative affect and perceived stress. These findings suggested that the WLEIS is a reliable and valid instrument for assessing trait emotional intelligence of adolescents and can be generalized across sex.

Assessing Appetitive Traits Among Chinese Young Adults Using the Adult Eating Behavior Questionnaire: Factor Structure, Gender Invariance and Latent Mean Differences, and Associations With BMI

Assessment ◽  
2019 ◽  
pp. 107319111986464 ◽  
Author(s):  
Jinbo He ◽  
Shengyan Sun ◽  
Hana F. Zickgraf ◽  
Jordan M. Ellis ◽  
Xitao Fan
Keyword(s):  
Body Mass Index ◽  
Young Adults ◽  
Measurement Invariance ◽  
Body Mass ◽  
Factor Structure ◽  
Eating Behavior ◽  
Chinese Translation ◽  
Present Sample ◽  
Chinese Young Adults ◽  
Mean Differences

The current study examined the factor structure, measurement reliability, measurement invariance across genders, and latent gender mean differences, of a new Chinese translation of the Adult Eating Behavior Questionnaire (C-AEBQ) in a Chinese young adult sample ( n = 1,068, 52.57% women). The associations between the appetitive traits assessed by the AEBQ and body mass index were also explored. The previously established eight-factor model of the AEBQ was supported in the present sample. The C-AEBQ had strong measurement invariance between genders. Cronbach’s alpha estimates of the eight subscales of the C-AEBQ ranged from 0.76 to 0.97, and the test–retest reliability coefficients of the subscales ranged from 0.50 to 0.77. The C-AEBQ had adequate convergent and divergent validity, as supported by the theoretically expected correlations between C-AEBQ and the Three-Factor Eating Questionnaire. Furthermore, Satiety Responsiveness, Slowness in Eating, and Food Fussiness were inversely associated with body mass index. Overall, the C-AEBQ appears to be a psychometrically sound instrument as a comprehensive measure for appetitive traits for Chinese young adults.

Homework Expectancy Value Scale: Measurement Invariance and Latent Mean Differences Across Gender

2017 ◽  
Vol 36 (8) ◽  
pp. 863-868 ◽  
Author(s):  
Fuyi Yang ◽  
Jianzhong Xu
Keyword(s):  
Middle School ◽  
Academic Achievement ◽  
Emotion Regulation ◽  
Middle School Students ◽  
Measurement Invariance ◽  
School Students ◽  
Expectancy Value ◽  
Factor Analytic ◽  
Latent Mean Differences ◽  
Mean Differences

This study validated the Homework Expectancy Value Scale (HEVS) based on 918 middle school students from China. The factor analytic results showed that the HEVS consisted of two distinct yet related subscales: Expectancy and Value. Results further revealed that latent factor means for the HEVS were invariant across gender. Finally, consistent with theoretical expectations, Expectancy and Value were negatively correlated with homework distraction, and positively correlated with homework effort, emotion regulation, completion, and academic achievement.

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