Paternal and Maternal Involvement in Malaysian Adolescents: Test of Factor Structure, Measurement Invariance and Latent Mean Differences

2013 ◽  
Vol 7 (1) ◽  
pp. 193-208 ◽  
Author(s):  
Siew Ting Yap ◽  
Rozumah Baharudin ◽  
Siti Yaacob ◽  
Syuhaily Osman
Keyword(s):  
Measurement Invariance ◽  
Factor Structure ◽  
Maternal Involvement ◽  
Latent Mean Differences ◽  
Mean Differences ◽  
Structure Measurement ◽  
Malaysian Adolescents

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.

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.

Evaluation of the Caregiver Preparedness Scale in African American and White Caregivers of Persons With Dementia During Post-Hospitalization Transition

2021 ◽  
pp. JNM-D-20-00087
Author(s):  
Ashley Kuzmik ◽  
Marie Boltz ◽  
Barbara Resnick ◽  
Rhonda BeLue
Keyword(s):  
African American ◽  
Family Caregivers ◽  
Measurement Invariance ◽  
Factor Structure ◽  
Predictive Validity ◽  
White Family ◽  
White Caregivers ◽  
Structure Measurement

Background and PurposeThe Preparedness for Caregiving Scale (PCS) is a widely used instrument to measure caregiver preparedness. The purpose was to evaluate the PCS in African American and White caregivers of patients with dementia upon discharge from the hospital.MethodsFactor structure, measurement invariance, and predictive validity of the PCS were assessed in a sample of 292 family caregivers/patient dyads.ResultsOne-factor structure of the PCS and measurement invariance by race was fully supported. Predicative validity revealed significant association between the PCS and anxiety (β = −.41, t = −7.61(287), p < .001), depression (β = −.44, t = −8.39(287), p < .001), and strain (β = −.48, t = −9.29(287), p < .001).ConclusionThe PCS is a valid and meaningful tool to measure preparedness in African American and White family caregivers of persons with dementia during post-hospitalization transition.

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.

Childhood Trauma Questionnaire: Factor structure, measurement invariance, and validity across emotional disorders.

2014 ◽  
Vol 26 (3) ◽  
pp. 717-729 ◽  
Author(s):  
Philip Spinhoven ◽  
Brenda W. Penninx ◽  
Marian Hickendorff ◽  
Albert M. van Hemert ◽  
David P. Bernstein ◽  
...  
Keyword(s):  
Measurement Invariance ◽  
Emotional Disorders ◽  
Childhood Trauma ◽  
Factor Structure ◽  
Childhood Trauma Questionnaire ◽  
Structure Measurement

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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