scholarly journals The Relation Between Evaluation and Racial Categorization of Emotional Faces

2019 ◽  
Vol 11 (2) ◽  
pp. 196-206 ◽  
Author(s):  
Jordan R. Axt ◽  
Yoav Bar-Anan ◽  
Michelangelo Vianello
Keyword(s):  
Structural Equation ◽  
Black People ◽  
Structural Equation Models ◽  
Error Variance ◽  
Automatic Evaluation ◽  
Total N ◽  
Racial Categorization ◽  
Evaluation Measures ◽  
Racial Preferences ◽  
Racially Ambiguous

Prior research has found that indirectly measured preference for White people over Black people is positively related to categorizing angry racially ambiguous faces as Black. This past work found no evidence that directly measured racial preferences predict this racial categorization bias (RCB), suggesting that the RCB could be a unique and easily administered tool for investigating automatic evaluation and validating automatic evaluation measures. In two studies (total N > 7,000), using structural equation models that account for error variance, multiple indirect evaluation measures were uniquely related to the RCB, thus bolstering their predictive validity. However, the RCB also correlated with self-reported evaluation, leaving psychologists without a robust, replicable outcome uniquely related to automatic evaluation. The lack of such an outcome hinders theoretical and practical progress in research on implicit social cognition.

scholarly journals The Relation Between Evaluation and Racial Categorization of Emotional Faces

2019 ◽  
Author(s):  
Jordan Axt ◽  
Yoav Bar-Anan ◽  
Michelangelo Vianello
Keyword(s):  
Structural Equation ◽  
Black People ◽  
Structural Equation Models ◽  
Error Variance ◽  
Automatic Evaluation ◽  
Total N ◽  
Racial Categorization ◽  
Evaluation Measures ◽  
Racial Preferences ◽  
Racially Ambiguous

Prior research has found that indirectly measured preference for White people over Black people is positively related to categorizing angry racially ambiguous faces as Black. This past work found no evidence that directly measured racial preferences predict this racial categorization bias (RCB), suggesting that the RCB could be a unique and easily administered tool for investigating automatic evaluation and validating automatic evaluation measures. In two studies (Total N > 7,000), using structural equation models that account for error variance, multiple indirect evaluation measures were uniquely related to the RCB, thus bolstering their predictive validity. However, the RCB also correlated with self-reported evaluation, leaving psychologists without a robust, replicable outcome uniquely related to automatic evaluation. The lack of such an outcome hinders theoretical and practical progress in research on implicit social cognition.

Measuring the Big Five in Self-Report and Other Ratings

2000 ◽  
Vol 16 (1) ◽  
pp. 31-43 ◽  
Author(s):  
Claudio Barbaranelli ◽  
Gian Vittorio Caprara
Keyword(s):  
Big Five ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Error Variance ◽  
The Self ◽  
Self Report ◽  
Sources Of Information ◽  
Third Person ◽  
Fit Indexes ◽  
Response Modes

Summary: The aim of the study is to assess the construct validity of two different measures of the Big Five, matching two “response modes” (phrase-questionnaire and list of adjectives) and two sources of information or raters (self-report and other ratings). Two-hundred subjects, equally divided in males and females, were administered the self-report versions of the Big Five Questionnaire (BFQ) and the Big Five Observer (BFO), a list of bipolar pairs of adjectives ( Caprara, Barbaranelli, & Borgogni, 1993 , 1994 ). Every subject was rated by six acquaintances, then aggregated by means of the same instruments used for the self-report, but worded in a third-person format. The multitrait-multimethod matrix derived from these measures was then analyzed via Structural Equation Models according to the criteria proposed by Widaman (1985) , Marsh (1989) , and Bagozzi (1994) . In particular, four different models were compared. While the global fit indexes of the models were only moderate, convergent and discriminant validities were clearly supported, and method and error variance were moderate or low.

scholarly journals The Motivation and Opportunity for Socially Desirable Responding Does Not Alter the General Factor of Personality

Assessment ◽  
2019 ◽  
pp. 107319111988096
Author(s):  
Dirk H. M. Pelt ◽  
Dimitri Van der Linden ◽  
Curtis S. Dunkel ◽  
Marise Ph. Born
Keyword(s):  
Personality Traits ◽  
Structural Equation ◽  
Structural Equation Models ◽  
General Factor ◽  
Socially Desirable Responding ◽  
Common Variance ◽  
Total N ◽  
General Factor Of Personality ◽  
The Common ◽  
Personality Questionnaires

Socially desirable responding may affect the factor structure of personality questionnaires and may be one of the reasons for the common variance among personality traits. In this study, we test this hypothesis by investigating the influence of the motivational test-taking context (development vs. selection) and the opportunity to distort responses (forced-choice vs. Likert response format) on personality questionnaire scores. Data from real selection and assessment candidates (total N = 3,980) matched on gender, age, and educational level were used. Mean score differences were found between the selection and development groups, with smaller differences for the FC version. Yet, exploratory structural equation models showed that the overall factor structures as well as the general factor were highly similar across the four groups. Thus, although socially desirable responding may affect mean scores on personality traits, it does not appear to affect factor structures. This study further suggests that the common variance in personality questionnaires is consistent and appears to be little influenced by motivational pressures for response distortion.

scholarly journals Staying ‘In Sync’ with Others During COVID-19: Positivity Resonance Mediates Cross-Sectional and Longitudinal Links between Trait Resilience and Mental Health

2020 ◽  
Author(s):  
Michael Prinzing ◽  
Jieni Zhou ◽  
Taylor Nicole West ◽  
Khoa Dang Le Nguyen ◽  
Jenna C. Wells ◽  
...  
Keyword(s):  
Mental Health ◽  
Structural Equation ◽  
Positive Emotions ◽  
Structural Equation Models ◽  
Reconstruction Method ◽  
Mediating Effects ◽  
Cross Sectional ◽  
Total N ◽  
Social And Emotional ◽  
Trait Resilience

Shared positive emotions involving caring and synchrony—termed “positivity resonance”—are associated with mental health (Major et al., 2018). We hypothesized that, during the COVID-19 pandemic, individual differences in trait resilience would be linked with better overall mental health in part because those higher in trait resilience experience more positivity resonance. We surveyed respondents nationally in April and May of 2020 (total N = 1,059), during pervasive stay-at-home orders. Participants completed self-reports of trait resilience and mental health and used the Day Reconstruction Method to describe their social and emotional experiences. Structural equation models showed positivity resonance to mediate the links between trait resilience and mental health outcomes. Subsequent analyses showed these mediating effects to be independent of overall positive emotion and social interaction quantity (amongst nationwide adults). These results indicate that high-quality social connection played a uniquely important role in maintaining mental health during the COVID-19 pandemic.

scholarly journals Trait Self-Control and Self-Discipline: Structure, Validity, and Invariance Across National Groups

2018 ◽  
Author(s):  
Martin S Hagger ◽  
Eva-Maria Kangro ◽  
Francis Ries ◽  
John C. K. Wang ◽  
Brody Heritage ◽  
...  
Keyword(s):  
Binge Drinking ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Structural Equation Models ◽  
Self Control ◽  
Self Report ◽  
Dimensional Structure ◽  
Control Scale ◽  
Total N ◽  
Two Samples

The aim of the present study was to test the validity of the Brief Self-Control Scale (BSCS; Tangney, Baumeister and Boone 2004) including its dimensional structure based on competing one- and two-factor models, discriminant validity from the conceptually-related self-discipline construct, invariance across multiple samples from different national groups, and predictive validity with respect to health-related behaviors. Samples of undergraduate students (total N = 1282) from four national groups completed the brief self-control scale, the self-discipline scale from the NEO-PI-R, and self-report measures of binge drinking, exercise, and healthy eating. Confirmatory factor analytic models supported a two-factor structure of self-control encompassing restraint and non-impulsivity components. The model exhibited good fit in all samples and invariance of factor loadings in multi-sample analysis. The restraint and non-impulsivity components exhibited discriminant validity and were also distinct from self-discipline. Structural equation models revealed that non-impulsivity predicted binge drinking in three of the samples, and restraint predicted exercise in two samples, with no role for self-discipline. Results point to a multi-dimensional structure for trait self-control consistent with previous theory separating impulsive- and control-related components.

scholarly journals Reducing Implicit Racial Preferences: I. A Comparative Investigation of 17 Interventions

2016 ◽  
Author(s):  
Calvin K Lai ◽  
Maddalena Marini ◽  
Steven A. Lehr ◽  
Carlo Cerruti ◽  
Jiyun Elizabeth L. Shin ◽  
...  
Keyword(s):  
Positive Emotion ◽  
Black People ◽  
Relative Effectiveness ◽  
Comparative Investigation ◽  
Racial Prejudice ◽  
The Other ◽  
White People ◽  
Total N ◽  
Racial Preferences ◽  
Implicit Preferences

Many methods for reducing implicit prejudice have been identified, but little is known about their relative effectiveness. We held a research contest to experimentally compare interventions for reducing the expression of implicit racial prejudice. Teams submitted seventeen interventions that were tested an average of 3.70 times each in four studies (total N = 17,021), with rules for revising interventions between studies. Eight of seventeen interventions were effective at reducing implicit preferences for Whites compared to Blacks, particularly ones that provided experience with counterstereotypical exemplars, used evaluative conditioning methods, and provided strategies to override biases. The other nine interventions were ineffective, particularly ones that engaged participants with others’ perspectives, asked participants to consider egalitarian values, or induced a positive emotion. The most potent interventions were ones that invoked high self-involvement or linked Black people with positivity and White people with negativity. No intervention consistently reduced explicit racial preferences. Furthermore, intervention effectiveness only weakly extended to implicit preferences for Asians and Hispanics.

Collective Efficacy and Organizational Commitment in an Italian City Hall

2009 ◽  
Vol 14 (4) ◽  
pp. 363-371 ◽  
Author(s):  
Laura Borgogni ◽  
Silvia Dello Russo ◽  
Laura Petitta ◽  
Gary P. Latham
Keyword(s):  
Organizational Commitment ◽  
Collective Efficacy ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Practical Significance ◽  
City Hall ◽  
Italian City ◽  
Public Sector Managers ◽  
The Individual ◽  
Level Group

Employees (N = 170) of a City Hall in Italy were administered a questionnaire measuring collective efficacy (CE), perceptions of context (PoC), and organizational commitment (OC). Two facets of collective efficacy were identified, namely group and organizational. Structural equation models revealed that perceptions of top management display a stronger relationship with organizational collective efficacy, whereas employees’ perceptions of their colleagues and their direct superior are related to collective efficacy at the group level. Group collective efficacy had a stronger relationship with affective organizational commitment than did organizational collective efficacy. The theoretical significance of this study is in showing that CE is two-dimensional rather than unidimensional. The practical significance of this finding is that the PoC model provides a framework that public sector managers can use to increase the efficacy of the organization as a whole as well as the individual groups that compose it.

A Cautionary Note on Incremental Fit Indices Reported by LISREL

Methodology ◽  
2005 ◽  
Vol 1 (2) ◽  
pp. 81-85 ◽  
Author(s):  
Stefan C. Schmukle ◽  
Jochen Hardt
Keyword(s):  
Factor Analysis ◽  
Maximum Likelihood ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Null Model ◽  
Likelihood Estimation ◽  
Parameter Estimates ◽  
Fit Indices ◽  
Cautionary Note ◽  
Confirmatory Factor

Abstract. Incremental fit indices (IFIs) are regularly used when assessing the fit of structural equation models. IFIs are based on the comparison of the fit of a target model with that of a null model. For maximum-likelihood estimation, IFIs are usually computed by using the χ2 statistics of the maximum-likelihood fitting function (ML-χ2). However, LISREL recently changed the computation of IFIs. Since version 8.52, IFIs reported by LISREL are based on the χ2 statistics of the reweighted least squares fitting function (RLS-χ2). Although both functions lead to the same maximum-likelihood parameter estimates, the two χ2 statistics reach different values. Because these differences are especially large for null models, IFIs are affected in particular. Consequently, RLS-χ2 based IFIs in combination with conventional cut-off values explored for ML-χ2 based IFIs may lead to a wrong acceptance of models. We demonstrate this point by a confirmatory factor analysis in a sample of 2449 subjects.

Forced Zero Cross-Loading Misspecifications in Measurement Component of Structural Equation Models

Methodology ◽  
2014 ◽  
Vol 10 (4) ◽  
pp. 138-152 ◽  
Author(s):  
Hsien-Yuan Hsu ◽  
Susan Troncoso Skidmore ◽  
Yan Li ◽  
Bruce Thompson
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Structural Equation Models ◽  
Equation Model ◽  
Model Fit ◽  
Model Specification ◽  
Simulation Design ◽  
Measurement Models ◽  
Fit Statistics ◽  
Path Coefficients

The purpose of the present paper was to evaluate the effect of constraining near-zero parameter cross-loadings to zero in the measurement component of a structural equation model. A Monte Carlo 3 × 5 × 2 simulation design was conducted (i.e., sample sizes of 200, 600, and 1,000; parameter cross-loadings of 0.07, 0.10, 0.13, 0.16, and 0.19 misspecified to be zero; and parameter path coefficients in the structural model of either 0.50 or 0.70). Results indicated that factor pattern coefficients and factor covariances were overestimated in measurement models when near-zero parameter cross-loadings constrained to zero were higher than 0.13 in the population. Moreover, the path coefficients between factors were misestimated when the near-zero parameter cross-loadings constrained to zero were noteworthy. Our results add to the literature detailing the importance of testing individual model specification decisions, and not simply evaluating omnibus model fit statistics.

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