Measurement Invariance of the Ruminative Responses Scale Across Gender

Assessment ◽  
2018 ◽  
Vol 27 (3) ◽  
pp. 508-517 ◽  
Author(s):  
Mark A. Whisman ◽  
Regina Miranda ◽  
David M. Fresco ◽  
Richard G. Heimberg ◽  
Elizabeth L. Jeglic ◽  
...  
Keyword(s):  
United States ◽  
Measurement Invariance ◽  
Covariance Structure ◽  
The United States ◽  
Confirmatory Factor ◽  
Latent Mean Differences ◽  
Using Data ◽  
Mean Differences ◽  
Brooding And Reflection ◽  
Multigroup Confirmatory Factor Analysis

Although women demonstrate higher levels of rumination than men, it is unknown whether instruments used to measure rumination have the same psychometric properties for women and men. To examine this question, we evaluated measurement invariance of the brooding and reflection subscales from the Ruminative Responses Scale (RRS) by gender, using data from four samples of undergraduates from three universities within the United States ( N = 4,205). A multigroup confirmatory factor analysis revealed evidence for configural, metric, and scalar invariance of the covariance structure of the 10-item version of the RRS. There were statistically significant latent mean differences between women and men, with women scoring significantly higher than men on both brooding and reflection. These findings suggest that the 10-item version of the RRS provides an assessment of rumination that is psychometrically equivalent across gender. Consequently, gender differences in brooding and reflection likely reflect valid differences between women and men.

The Ego Resiliency Scale Revised

2012 ◽  
Vol 28 (2) ◽  
pp. 139-146 ◽  
Author(s):  
Guido Alessandri ◽  
Michele Vecchione ◽  
Gianvittorio Caprara ◽  
Tera D. Letzring
Keyword(s):  
United States ◽  
Factor Analysis ◽  
Big Five ◽  
Well Being ◽  
The United States ◽  
Self Report ◽  
Latent Structure ◽  
Confirmatory Factor ◽  
Multigroup Confirmatory Factor Analysis ◽  
Ego Resiliency

The present study examined the crosscultural generalizability of the latent structure of the ER89-R, a brief self-report scale that measures ego-resiliency with subjective self-ratings. First, we investigated the measurement invariance of the scale across three Western cultures, namely, Italy (n = 1,020), Spain (n = 452), and the United States (n = 808). Next, we examined the correlations of the ER89-R scale with several measures of adjustment and maladjustment. Multigroup confirmatory factor analysis provided evidence of partial configural, metric, and scalar invariance across Italy, Spain, and the United States. Overall, the correlation patterns were stable across countries and sex, with some exceptions. As expected, higher levels of ego-resiliency were strongly and consistently associated with the positive poles of the Big Five. Moreover, ego-resiliency showed a positive correlation with psychological well-being in each country, and negative relations with depression in Spain and Italy, but not in the United States. In light of these results, the potential usefulness and applicability of the ER89-R scale are advanced and discussed.

Cross-Cultural Validation of the Task and Ego Orientation in Sport Questionnaire

1996 ◽  
Vol 18 (4) ◽  
pp. 392-407 ◽  
Author(s):  
Fuzhong Li ◽  
Peter Harmer ◽  
Likang Chi ◽  
Naruepon Vongjaturapat
Keyword(s):  
United States ◽  
Factor Structure ◽  
The United States ◽  
Cross Cultural ◽  
Cultural Validity ◽  
Confirmatory Factor ◽  
Ego Orientation ◽  
Metric Invariant ◽  
Different Populations ◽  
Mean Differences

It is becoming increasingly important to determine whether structural models of measures of sport and activity behavior developed in North America are invarant across different populations. This study assessed (a) the cross-cultural validity of the Task and Ego Orientation in Sport Questionnaire (TEOSQ) using male college students across the United States (n = 309), Thailand (n = 312), and Taiwan (n = 307); and (b) the factorial equivalence and structured latent mean differences of the TEOSQ in these samples. Using a confirmatory factor analytic procedure, the initial test of the hypothesized two-factor structure representing task and ego orientation yielded a good fit for each sample. The factor structure was further shown to be metric invariant across the three countries. Furthermore, tests of latent means showed significant differences between groups. The United States sample exhibited the highest levels of task and ego orientation, followed by the Taiwan and Thailand samples, respectively.

Examination of the Validity of the Chinese Version of the Children’s Hope Scale Among Chinese Adolescents

2021 ◽  
pp. 073428292098732
Author(s):  
Yu Ling ◽  
Qin Yang ◽  
Zixuan Ge ◽  
Mingtian Zhong ◽  
Yifang Zeng ◽  
...  
Keyword(s):  
Cultural Differences ◽  
Measurement Invariance ◽  
Chinese Adolescents ◽  
Chinese Version ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Latent Mean Differences ◽  
Mean Differences ◽  
Children’S Hope Scale

Given possible developmental and/or cultural differences in the meaning and levels of hope among children, we evaluated the validity, measurement invariance, and latent mean differences for the Chinese version of the Children’s Hope Scale (CHS) across gender. Our sample comprised 2045 Chinese adolescents (46.4% men), with a mean age of 12.94 years. Confirmatory factor analyses (CFAs) supported one-factor and two-factor models. Cronbach’s alphas, mean inter-item correlations, and test–retest coefficients supported their reliability for both models. Also, multigroup CFA for both models indicated measurement invariance across gender. Analyses of latent means revealed no significant gender differences for the CHS total or Agency factor. However, men scored higher than women on the Pathways factor. Such differences suggest consideration of gender when assessing and promoting hope in Chinese 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.

Migration and the Internet

2017 ◽  
Vol 14 (3) ◽  
pp. 331-342 ◽  
Author(s):  
Thomas John Cooke ◽  
Ian Shuttleworth
Keyword(s):  
United States ◽  
Information And Communication Technologies ◽  
Unobserved Heterogeneity ◽  
Panel Study ◽  
The United States ◽  
Negative Effect ◽  
Information And Communication ◽  
Using Data ◽  
And Migration ◽  
Dynamics Models

It is widely presumed that information and communication technologies, or ICTs, enable migration in several ways; primarily by reducing the costs of migration. However, a reconsideration of the relationship between ICTs and migration suggests that ICTs may just as well hinder migration; primarily by reducing the costs of not moving.  Using data from the US Panel Study of Income Dynamics, models that control for sources of observed and unobserved heterogeneity indicate a strong negative effect of ICT use on inter-state migration within the United States. These results help to explain the long-term decline in internal migration within the United States.

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 Challenges in Bridge Health Monitoring: A Review

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4336
Author(s):  
Piervincenzo Rizzo ◽  
Alireza Enshaeian
Keyword(s):  
United States ◽  
Health Monitoring ◽  
Highway Bridges ◽  
The United States ◽  
Anomalous Behavior ◽  
Existing Structures ◽  
Bridge Health Monitoring ◽  
Using Data ◽  
The Many ◽  
Major Factors

Bridge health monitoring is increasingly relevant for the maintenance of existing structures or new structures with innovative concepts that require validation of design predictions. In the United States there are more than 600,000 highway bridges. Nearly half of them (46.4%) are rated as fair while about 1 out of 13 (7.6%) is rated in poor condition. As such, the United States is one of those countries in which bridge health monitoring systems are installed in order to complement conventional periodic nondestructive inspections. This paper reviews the challenges associated with bridge health monitoring related to the detection of specific bridge characteristics that may be indicators of anomalous behavior. The methods used to detect loss of stiffness, time-dependent and temperature-dependent deformations, fatigue, corrosion, and scour are discussed. Owing to the extent of the existing scientific literature, this review focuses on systems installed in U.S. bridges over the last 20 years. These are all major factors that contribute to long-term degradation of bridges. Issues related to wireless sensor drifts are discussed as well. The scope of the paper is to help newcomers, practitioners, and researchers at navigating the many methodologies that have been proposed and developed in order to identify damage using data collected from sensors installed in real structures.

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.

scholarly journals Racial and Ethnic Disparities in Years of Potential Life Lost Attributable to COVID-19 in the United States: An Analysis of 45 States and the District of Columbia

2021 ◽  
Vol 18 (6) ◽  
pp. 2921
Author(s):  
Jay J. Xu ◽  
Jarvis T. Chen ◽  
Thomas R. Belin ◽  
Ronald S. Brookmeyer ◽  
Marc A. Suchard ◽  
...  
Keyword(s):  
United States ◽  
District Of Columbia ◽  
Ethnic Disparities ◽  
The United States ◽  
Attributable Mortality ◽  
Race Ethnicity ◽  
Using Data ◽  
Rate Ratios ◽  
Degree Of Association ◽  
Racial Ethnic

The coronavirus disease 2019 (COVID-19) epidemic in the United States has disproportionately impacted communities of color across the country. Focusing on COVID-19-attributable mortality, we expand upon a national comparative analysis of years of potential life lost (YPLL) attributable to COVID-19 by race/ethnicity (Bassett et al., 2020), estimating percentages of total YPLL for non-Hispanic Whites, non-Hispanic Blacks, Hispanics, non-Hispanic Asians, and non-Hispanic American Indian or Alaska Natives, contrasting them with their respective percent population shares, as well as age-adjusted YPLL rate ratios—anchoring comparisons to non-Hispanic Whites—in each of 45 states and the District of Columbia using data from the National Center for Health Statistics as of 30 December 2020. Using a novel Monte Carlo simulation procedure to perform estimation, our results reveal substantial racial/ethnic disparities in COVID-19-attributable YPLL across states, with a prevailing pattern of non-Hispanic Blacks and Hispanics experiencing disproportionately high and non-Hispanic Whites experiencing disproportionately low COVID-19-attributable YPLL. Furthermore, estimated disparities are generally more pronounced when measuring mortality in terms of YPLL compared to death counts, reflecting the greater intensity of the disparities at younger ages. We also find substantial state-to-state variability in the magnitudes of the estimated racial/ethnic disparities, suggesting that they are driven in large part by social determinants of health whose degree of association with race/ethnicity varies by state.

How Universal Is a Construct of Loneliness? Measurement Invariance of the UCLA Loneliness Scale in Indonesia, Germany, and the United States

Assessment ◽  
2021 ◽  
pp. 107319112110345
Author(s):  
Joevarian Hudiyana ◽  
Tania M. Lincoln ◽  
Steffi Hartanto ◽  
Muhammad A. Shadiqi ◽  
Mirra N. Milla ◽  
...  
Keyword(s):  
United States ◽  
Measurement Invariance ◽  
Social Isolation ◽  
Total Sample ◽  
The United States ◽  
Cross Cultural ◽  
Model Fit ◽  
Short Version ◽  
Loneliness Scale ◽  
The One

The UCLA Loneliness Scale (ULS-20) and its short version (ULS-8) are widely used to measure loneliness. However, the question remains whether or not previous studies using the scale to measure loneliness are measuring the construct equally across countries. The present study examined the measurement invariance (MI) of both scales in Germany, Indonesia, and the United States ( N = 2350). The one-, two-, and three-factor structure of the ULS-20 did not meet the model fit cut-off criteria in the total sample. The ULS-8 met the model fit cut-off criteria and has configural, but not metric invariance because two items unrelated to social isolation were not MI. The final six items (ULS-6) exclusively related to social isolation had complete MI. Participants from the United States scored highest in the ULS-6, followed by participants from Germany and then Indonesia. We conclude that the ULS-6 is an appropriate measure for cross-cultural studies on loneliness.

Sign in / Sign up

Export Citation Format

Share Document