The Gender Gap on Wall Street: An Empirical Analysis of Confidence in Investment Decision Making

We attempted to identify the personal characteristics that influence confidence in an investment decision in an experiment administered to 1,359 subjects nationwide. Multiple regression was used to control statistically for variation among subjects and to develop a model of investment decision confidence. The most striking finding was that women had significantly lower confidence in an investment task than men, after controlling for all other relevant variables and characteristics including the amount of the investment decision itself. Familiarity with and present attitude about investing in the stock market, college credit hours in accounting and finance, experience in evaluating common stocks, the current level of the stock market, and the investment decision itself (the amount to be invested) were also found to be significant. Age, value of personal portfolio, years of college, and years of business experience were not significant characteristics.     

Mental Health and Adverse Childhood Experiences

The theoretical basis of occupational therapy interventions was investigated in two mental health facilities in the Midwestern United States. Using retrospective cohort and grounded theory designs, 121 medical records were reviewed and five occupational therapy practitioners were interviewed. Theoretical reasoning was not explicitly documented, but according to analysis, the behavioral/cognitive-behavioral model, client-centered models, and the model of human occupation were the most frequently used theories to guide interventions. Lack of documentation of theory use has significant implications for the value accorded to occupational therapy skills in health care. A larger study is recommended to increase external generalizability of the findings.     

The factor structure and composite reliability of the Rosenberg Self-Esteem Scale among ex-prisoners

The aim of this study was to examine the factor structure and composite reliability of the Rosenberg Self-Esteem Scale (RSES) using a sample of 669 ex-prisoners identified in the National Survey of American Life. Six distinct factor models, with uncorrelated measurement error terms, were specified and tested using confirmatory factor analysis (CFA). Results indicated that the two-factor model consisting of positive and negative latent variables provided a better fit to the data than the alternative models. Moreover, only positive self-esteem was a significant predictor of recidivism. Composite reliability indicated that the two factors were measured with very good reliability. The results consequently provide additional support for a two-dimensional model of the RSES within offender populations.     

In conversation with J. Philippe Rushton

The interview covers Rushton’s background in England, South Africa, and Canada, his education at the University of London (B.Sc., 1970; Ph.D., 1973), and his early research (1970–1980) on the social learning of generosity in 7- to 11-year olds. In his first book, Altruism, socialization, and society (1980), Rushton solved two “anomalies” for his social learning perspective—altruism in animals and traits in people—causing a “paradigm shift” for him toward sociobiology. He spent January to June 1981 at the University of California, Berkeley, to study the longitudinal stability of personality traits like altruism. There, he was influenced by Jensen’s work on g and race differences in rate of maturation and two-egg twinning. Subsequently, Rushton found that across 60 variables, Europeans fall between East Asians and Africans, closer to East Asians. He extrapolated Wilson’s (fast–slow) r-K life history theory to explain the pattern. Also covered is Rushton’s research on the heritability of altruism, and Genetic Similarity Theory explaining assortative mating and ethnic nepotism. Spouses and best friends are as similar as half-siblings and people randomly chosen from the same ethnic group are as related as first cousins. Altruism follows lines of similarity to replicate genes effectively. Rushton’s research on creativity is described.     

Latent self-oriented and socially prescribed perfectionism: Tests of factorial,convergent, and discriminant validity using self- and informant reports

Using latent variables for self-oriented perfectionism (i.e., demanding perfection of oneself) and socially prescribed perfectionism (i.e., perceiving others are demanding perfection of oneself) has advantages. However, few studies have specifically examined the psychometric properties of these latent variables. The present study addresses this shortcoming by testing the factorial, convergent, and discriminant validity of self-oriented and socially prescribed perfectionism latent variables using self- and informant reports. It was hypothesized that (a) the factor structure of the self-oriented and socially prescribed perfectionism latent variables would be supported, (b) self- and informant reports would moderately converge, and (c) the self-oriented and socially prescribed perfectionism latent variables would be discriminable. A sample of 242 undergraduate women and 378 informants (218 mothers, 160 fathers) was recruited. Undergraduate women completed self-reports, and mothers and fathers completed informant reports. Results were consistent with hypotheses, thereby supporting (a) the factorial validity of the self-oriented and socially prescribed latent variables using self- and informant reports, (b) the convergent validity of the self-oriented and socially prescribed latent variables via moderately to strongly correlated self- and informant reports, and (c) the discriminant validity of the self-oriented and socially prescribed perfectionism latent variables. Findings suggest research using these latent variables is warranted.     

Ideological analytics: A study of evolving world values

This study analyses ideologies in a comparative perspective. It does so by treating ideologies as normative mental systems interacting with environmental physical realities and following their evolution in the contemporary world. As a result, it exemplifies a systematic method of undertaking a diagnosis, anagnosis, and prognosis of the global ideological situation.

The study introduces a relevance tree reflecting the conceptual framework of ideological analytics. On this basis, it presents three levels of generality which contain the outline of a substantive analysis. The examples given therein illustrate the model and could serve as prototypes for more detailed studies.

Finally, the study draws the main conclusions from the above generalizations by identifying the dialectical process of ideological dynamics. This process together with the non‐linear development of social systems produce the macrohistorical cycles of world evolution. Thus, the proposed hypothesis of dialectichaos can contribute to a better understanding oïideosocial change.     

Are the sources of interest the same for everyone? Using multilevel mixture models to explore individual differences in appraisal structures

How does personality influence the relationship between appraisals and emotions? Recent research suggests individual differences in appraisal structures: people may differ in an emotion's appraisal pattern. We explored individual differences in interest's appraisal structure, assessed as the within-person covariance of appraisals with interest. People viewed images of abstract visual art and provided ratings of interest and of interest's appraisals (novelty–complexity and coping potential) for each picture. A multilevel mixture model found two between-person classes that reflected distinct within-person appraisal styles. For people in the larger class (68%), the novelty–complexity appraisal had a stronger effect on interest; for people in the smaller class (32%), the coping potential appraisal had a stronger effect. People in the larger class were significantly higher in appetitive traits related to novelty seeking (e.g., sensation seeking, openness to experience, and trait curiosity), suggesting that the appraisal classes have substantive meaning. We conclude by discussing the value of within-person mixture models for the study of personality and appraisal.     

A New Model for Acquiescence at the Interface of Psychometrics and Cognitive Psychology

ABSTRACT

When measuring psychological traits, one has to consider that respondents often show content-unrelated response behavior in answering questionnaires. To disentangle the target trait and two such response styles, extreme responding and midpoint responding, Böckenholt (2012a Böckenholt, U. (2012a). Modeling multiple response processes in judgment and choice. Psychological Methods, 17, 665–678. doi:10.1037/a0028111[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) developed an item response model based on a latent processing tree structure. We propose a theoretically motivated extension of this model to also measure acquiescence, the tendency to agree with both regular and reversed items. Substantively, our approach builds on multinomial processing tree (MPT) models that are used in cognitive psychology to disentangle qualitatively distinct processes. Accordingly, the new model for response styles assumes a mixture distribution of affirmative responses, which are either determined by the underlying target trait or by acquiescence. In order to estimate the model parameters, we rely on Bayesian hierarchical estimation of MPT models. In simulations, we show that the model provides unbiased estimates of response styles and the target trait, and we compare the new model and Böckenholt’s model in a recovery study. An empirical example from personality psychology is used for illustrative purposes.     

Dynamic Regulation Responding to an External Stimulus: A Differential Equation Model

This study examines the dynamic regulation process responding to an external stimulus. The damped oscillator model has been used to describe this process. However, the model does not allow a nonzero steady state, even though the oscillations may continue and do not necessarily damp toward zero. This study introduces the driven damped oscillator model which has an additional parameter to identify different patterns of the steady state. Three methods, generalized local linear approximation, continuous time structural equation modeling, and analytic solutions of differential equations are provided to estimate model parameters. A simulation study indicates that parameters in the driven damped oscillator model are well recovered. The model is then illustrated using a data set on the daily reports of sales after a sale promotion. Potential applications and possible expansions of this model are also discussed.     

On Measuring and Modeling Physiological Synchrony in Dyads

Physiological synchrony within a dyad, or the degree of temporal correspondence between two individuals' physiological systems, has become a focal area of psychological research. Multiple methods have been used for measuring and modeling physiological synchrony. Each method extracts and analyzes different types of physiological synchrony, where ‘type’ refers to a specific manner through which two different physiological signals may correlate. Yet, to our knowledge, there is no documentation of the different methods, how each method corresponds to a specific type of synchrony, and the statistical assumptions embedded within each method. Hence, this article outlines several approaches for measuring and modeling physiological synchrony, connects each type of synchrony to a specific method, and identifies the assumptions that need to be satisfied for each method to appropriately extract each type of synchrony. Furthermore, this article demonstrates how to test for between-dyad differences of synchrony via inclusion of dyad-level (i.e., time-invariant) covariates. Finally, we complement each method with an empirical demonstration, as well as online supplemental material that contains Mplus code.