Discriminant validity assessment has become a generally accepted prerequisite for analyzing relationships between latent variables. For variance-based structural equation modeling, such as partial least squares, the Fornell-Larcker criterion and the examination of cross-loadings are the dominant approaches for evaluating discriminant validity. By means of a simulation study, we show that these approaches do not reliably detect the lack of discriminant validity in common research situations. We therefore propose an alternative approach, based on the multitrait-multimethod matrix, to assess discriminant validity: the heterotrait-monotrait ratio of correlations. We demonstrate its superior performance by means of a Monte Carlo simulation study, in which we compare the new approach to the Fornell-Larcker criterion and the assessment of (partial) cross-loadings. Finally, we provide guidelines on how to handle discriminant validity issues in variance-based structural equation modeling.

/pdf/a-new-criterion-for-assessing-discriminant-validity-in-4xs4c94ene.pdf

A new criterion for assessing discriminant validity in variance-based structural equation modeling

Amazon's Mechanical Turk (MTurk) is a relatively new website that contains the major elements required to conduct research: an integrated participant compensation system; a large participant pool; and a streamlined process of study design, participant recruitment, and data collection. In this article, we describe and evaluate the potential contributions of MTurk to psychology and other social sciences. Findings indicate that (a) MTurk participants are slightly more demographically diverse than are standard Internet samples and are significantly more diverse than typical American college samples; (b) participation is affected by compensation rate and task length, but participants can still be recruited rapidly and inexpensively; (c) realistic compensation rates do not affect data quality; and (d) the data obtained are at least as reliable as those obtained via traditional methods. Overall, MTurk can be used to obtain high-quality data inexpensively and rapidly.

http://www.gruberpeplab.com/teaching/psych231_fall2013/documents/231_Buhrmester2011.pdf

Amazon's Mechanical Turk A New Source of Inexpensive, Yet High-Quality, Data?

Five studies tested two general hypotheses: Individuals differ in their use of emotion regulation strategies such as reappraisal and suppression, and these individual differences have implications for affect, well-being, and social relationships. Study 1 presents new measures of the habitual use of reappraisal and suppression. Study 2 examines convergent and discriminant validity. Study 3 shows that reappraisers experience and express greater positive emotion and lesser negative emotion, whereas suppressors experience and express lesser positive emotion, yet experience greater negative emotion. Study 4 indicates that using reappraisal is associated with better interpersonal functioning, whereas using suppression is associated with worse interpersonal functioning. Study 5 shows that using reappraisal is related positively to well-being, whereas using suppression is related negatively.

Individual differences in two emotion regulation processes: implications for affect, relationships, and well-being.

This study investigated the relation of the “Big Five” personality dimensions (Extraversion, Emotional Stability, Agreeableness, Conscientiousness, and Openness to Experience) to three job performance criteria (job proficiency, training proficiency, and personnel data) for five occupational groups (professionals, police, managers, sales, and skilled/semi-skilled). Results indicated that one dimension of personality, Conscientiousness, showed consistent relations with all job performance criteria for all occupational groups. For the remaining personality dimensions, the estimated true score correlations varied by occupational group and criterion type. Extraversion was a valid predictor for two occupations involving social interaction, managers and sales (across criterion types). Also, both Openness to Experience and Extraversion were valid predictors of the training proficiency criterion (across occupations). Other personality dimensions were also found to be valid predictors for some occupations and some criterion types, but the magnitude of the estimated true score correlations was small (ρ < .10). Overall, the results illustrate the benefits of using the 5-factor model of personality to accumulate and communicate empirical findings. The findings have numerous implications for research and practice in personnel psychology, especially in the subfields of personnel selection, training and development, and performance appraisal.

The big five personality dimensions and job performance: a meta-analysis

2 Taxonomy is always a contentious issue because the world does not come to us in neat little packages (S. Personality has been conceptualized from a variety of theoretical perspectives, and at various levels of Each of these levels has made unique contributions to our understanding of individual differences in behavior and experience. However, the number of personality traits, and scales designed to measure them, escalated without an end in sight (Goldberg, 1971). Researchers, as well as practitioners in the field of personality assessment, were faced with a bewildering array of personality scales from which to choose, with little guidance and no overall rationale at hand. What made matters worse was that scales with the same name often measure concepts that are not the same, and scales with different names often measure concepts that are quite similar. Although diversity and scientific pluralism are useful, the systematic accumulation of findings and the communication among researchers became difficult amidst the Babel of concepts and scales. Many personality researchers had hoped that they might devise the structure that would transform the Babel into a community speaking a common language. However, such an integration was not to be achieved by any one researcher or by any one theoretical perspective. As Allport once put it, " each assessor has his own pet units and uses a pet battery of diagnostic devices " (1958, p. 258). What personality psychology needed was a descriptive model, or taxonomy, of its subject matter. One of the central goals of scientific taxonomies is the definition of overarching domains within which large numbers of specific instances can be understood in a simplified way. Thus, in personality psychology, a taxonomy would permit researchers to study specified domains of personality characteristics, rather than examining separately the thousands of particular attributes that make human beings individual and unique. Moreover, a generally accepted taxonomy would greatly facilitate the accumulation and communication of empirical findings by offering a standard vocabulary, or nomenclature. After decades of research, the field is approaching consensus on a general taxonomy of personality traits, the " Big Five " personality dimensions. These dimensions do not represent a particular theoretical perspective but were derived from analyses of the natural-language terms people use to describe themselves 3 and others. Rather than replacing all previous systems, the Big Five taxonomy serves an integrative function because it can represent the various and diverse systems of personality …

The Big Five Trait taxonomy: History, measurement, and theoretical perspectives.

Emotion Regulation in Close Relationships

An experience sampling approach to emotion regulation: Situational suppression use and social hierarchy

Resting state fMRI may help identify markers of risk for affective disorder. Given the comorbidity of anxiety and depressive disorders and the heterogeneity of these disorders as defined by DSM, an important challenge is to identify alterations in resting state brain connectivity uniquely associated with distinct profiles of negative affect. The current study aimed to address this by identifying differences in brain connectivity specifically linked to cognitive and physiological profiles of anxiety, controlling for depressed affect. We adopted a two-stage multivariate approach. Hierarchical clustering was used to independently identify dimensions of negative affective style and resting state brain networks. Combining the clustering results, we examined individual differences in resting state connectivity uniquely associated with subdimensions of anxious affect, controlling for depressed affect. Physiological and cognitive subdimensions of anxious affect were identified. Physiological anxiety was associated with widespread alterations in insula connectivity, including decreased connectivity between insula subregions and between the insula and other medial frontal and subcortical networks. This is consistent with the insula facilitating communication between medial frontal and subcortical regions to enable control of physiological affective states. Meanwhile, increased connectivity within a frontoparietal-posterior cingulate cortex-precunous network was specifically associated with cognitive anxiety, potentially reflecting increased spontaneous negative cognition e.g., worry. These findings suggest that physiological and cognitive anxiety comprise subdimensions of anxiety-related affect and reveal associated alterations in brain connectivity.

http://bishoplab.berkeley.edu/Bijsterboschetal_JCognNeurosci_2014.pdf

Resting state correlates of subdimensions of anxious affect

Recent experimental work demonstrates that temporal distancing from negative experiences reduces distress. Yet two central questions remain: (a) do people differ in the habitual tendency to temporally distance from negative experiences, and if so (b) what implications does this tendency have for well-being? Seven studies explored these questions. Study 1 describes the construction and reliability of the Temporal Distancing Questionnaire, a new measure of individual differences in the tendency to place negative experiences into a broader future time perspective. Study 2 establishes a nomological network around this construct, examining the relationship of temporal distancing to other theoretically related constructs. Study 3 tests whether people high in temporal distancing (i.e., "high temporal distancers") experience greater concurrent well-being, including greater positive affect and life satisfaction and lesser negative affect, worry, and depressive symptoms. Study 4 examines whether temporal distancing predicts well-being measured at the daily level, and across time. Finally, Studies 5a-5c explore a key way in which temporal distancing may support psychological well-being-by facilitating more adaptive responses to negative experiences. Our results demonstrate that the tendency to temporally distance from negative experiences predicts a more positive profile of affective experiences and stress-reactivity that may support immediate and longer-term well-being. Moreover, many of these findings remained significant when controlling for general reappraisal tendencies. (PsycINFO Database Record

Taking the long view: Implications of individual differences in temporal distancing for affect, stress reactivity, and well-being.

Objective Many studies have demonstrated that personality traits predict academic performance for students in high school and college. Much less evidence exists on whether the relationship between personality traits and academic performance changes from childhood to adolescence, and existing studies show very mixed findings. This study tests one hypothesis-that the importance of Agreeableness, Emotional Stability, and Conscientiousness for academic performance changes fundamentally during school-against an alternative hypothesis suggesting that the changing relationships found in previous research are largely measurement artifacts. Method We used a nationwide sample of 135,389 primary and lower secondary students from Grade 4 to Grade 8. We replicated all results in a separate sample of another 127,375 students. Results We found that academic performance was equally strongly related to our measure of Conscientiousness at all these grade levels, and the significance of Agreeableness and Emotional Stability predominantly reflected their connections with Conscientiousness. However, age also appeared to shape the relationship between Emotional Stability and performance. Conclusion Amidst the replication crisis in psychology these findings demonstrate a very stable and predictable relationship between personality traits and academic performance, which may have important implications for the education of children already in primary school.

A stable relationship between personality and academic performance from childhood through adolescence. An original study and replication in hundred-thousand-person samples

Oliver P. John

Papers

Emotion Regulation in Close Relationships

An experience sampling approach to emotion regulation: Situational suppression use and social hierarchy

Resting state correlates of subdimensions of anxious affect

Taking the long view: Implications of individual differences in temporal distancing for affect, stress reactivity, and well-being.

A stable relationship between personality and academic performance from childhood through adolescence. An original study and replication in hundred-thousand-person samples