To Identify or Not To Identify? National Disidentification as an Alternative Reaction to Perceived Ethnic Discrimination

This study was a longitudinal investigation of the psychological and attitudinal consequences of perceived ethnic discrimination and ethnic and national identification among immigrants in an 8-year follow-up study with panel data. The participants were 293 immigrants in Finland coming from the former Soviet Union. The results supported the Rejection-Disidentification Model (RDIM) proposed in this study; perceived discrimination resulted in national disidentification, which, in turn, increased hostile attitudes towards the national out-group. Contrary to prevalent assumptions in the literature, long-term psychological well-being was not determined by the absolute level of discrimination experienced in the past. However, it was influenced by an increase in those experiences over time, and evidence was also obtained for the reciprocal relationship between perceived discrimination and well-being. The results of the study were discussed in terms of the further development of the theoretical models explaining the role of identification in relationships between perceived discrimination, attitudes towards the national out-group and well-being among multiple-identified minority members.     

Differentiation Processes for Social Stimuli with Different Degrees of Category Representativeness

The influence of the categorization process is investigated in the context of conceptions of categories as fuzzy sets, represented by prototypes. The experiment specifically considers two social categories corresponding to Italian regional groups: for each of these, stimuli were constructed which represented the respective categories in different degrees. We hypothesized that the accentuation of the degree in which individual exemplars represent a category, obtained by the addition of an attribute of the category, produces the effect of accentuating inter-category differences and intra-category similarities. Our results confirm the hypothesis regarding differentiation, but not that regarding assimilation. The effect of differentiation is strong at the category borders, i.e. for the less representative exemplars. A final issue considered is the theoretical problem of distinguishing, within the prototype of a category, between stereotypical attributes and those which permit categorial identification of individual cases.     

Bayesian inference for psychology. Part II: Example applications with JASP

Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing. Part I of this series outlined several advantages of Bayesian hypothesis testing, including the ability to quantify evidence and the ability to monitor and update this evidence as data come in, without the need to know the intention with which the data were collected. Despite these and other practical advantages, Bayesian hypothesis tests are still reported relatively rarely. An important impediment to the widespread adoption of Bayesian tests is arguably the lack of user-friendly software for the run-of-the-mill statistical problems that confront psychologists for the analysis of almost every experiment: the t-test, ANOVA, correlation, regression, and contingency tables. In Part II of this series we introduce JASP (http://www.jasp-stats.org), an open-source, cross-platform, user-friendly graphical software package that allows users to carry out Bayesian hypothesis tests for standard statistical problems. JASP is based in part on the Bayesian analyses implemented in Morey and Rouder’s BayesFactor package for R. Armed with JASP, the practical advantages of Bayesian hypothesis testing are only a mouse click away.     

Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications

Bayesian parameter estimation and Bayesian hypothesis testing present attractive alternatives to classical inference using confidence intervals and p values. In part I of this series we outline ten prominent advantages of the Bayesian approach. Many of these advantages translate to concrete opportunities for pragmatic researchers. For instance, Bayesian hypothesis testing allows researchers to quantify evidence and monitor its progression as data come in, without needing to know the intention with which the data were collected. We end by countering several objections to Bayesian hypothesis testing. Part II of this series discusses JASP, a free and open source software program that makes it easy to conduct Bayesian estimation and testing for a range of popular statistical scenarios (Wagenmakers et al. this issue).     

Latina Mothers’ Involvement in an HIV/STI and Substance Use Prevention Program for Adolescents: A Parallel Intervention Curriculum

As part of a larger HIV/STI/Substance Abuse Prevention intervention targeted to middle school students, we offered students’ parents an opportunity to participate in an adult education class. The same curricular materials were used for students enrolled in the intervention and for their parents. In the current study, mothers who had completed the adult education class participated in a focus group. The focus group explored what components of the intervention were perceived by mothers as particularly useful to them or to their child. Three core themes emerged from interpretive analyses of the focus group: (1) positive relationships with intervention staff and school personnel enticed students to participate in the intervention and facilitated parents’ involvement; (2) both students and parents felt respected and empowered by the intervention’s cornerstone values and curricular philosophy of cultural richness and pride in Hispanic/Latino heritage; and (3) mothers perceived their mastery of the course content—materially wholly dedicated to the health and wellness of their children—benefitted them in terms of both understanding the material and potentially allowing mothers to discuss health-oriented behavior with their young adolescent child.     

On the importance of avoiding shortcuts in applying cognitive models to hierarchical data

Psychological experiments often yield data that are hierarchically structured. A number of popular shortcut strategies in cognitive modeling do not properly accommodate this structure and can result in biased conclusions. To gauge the severity of these biases, we conducted a simulation study for a two-group experiment. We first considered a modeling strategy that ignores the hierarchical data structure. In line with theoretical results, our simulations showed that Bayesian and frequentist methods that rely on this strategy are biased towards the null hypothesis. Secondly, we considered a modeling strategy that takes a two-step approach by first obtaining participant-level estimates from a hierarchical cognitive model and subsequently using these estimates in a follow-up statistical test. Methods that rely on this strategy are biased towards the alternative hypothesis. Only hierarchical models of the multilevel data lead to correct conclusions. Our results are particularly relevant for the use of hierarchical Bayesian parameter estimates in cognitive modeling.     

The cyber dating violence inventory. Validation of a new scale for online perpetration and victimization among dating partners

Cyber dating abuse is a new kind of dating violence. Several recent measures assess this phenomenon, but do not focus on a severe aggression that aims to spoil a partner’s relational network (relational cyber abuse). This study developed and validated the Cyber Dating Violence Inventory (CDVI) with 1405 adolescents and young adults (M_age = 18.17; SD_age = 2.39; 65.1% females), an instrument that considers the relational dimension of online dating abuse. Exploratory and confirmatory factor analyses found two correlated factors (Psychological and Relational) for both perpetration and victimization, showing good reliability. CDVI factors were positively correlated with offline dating violence, showing good criterion validity. This instrument has clinical and educational implications.     

Reactions to gay men: Contact and overcorrection in an employee selection simulation

The current study examines the role of contact on reactions to gay and heterosexual targets by U.S. heterosexual college students. Aversive bias research finds that minority group members receive unfavorable evaluations only when non-category-based information justifies bias. We argue that under other conditions, namely absence of conditions justifying bias, minority group members receive more favorable evaluations than non-minorities, an effect we term overcorrection. We apply this research to the study of attitudes toward gay men. The current study examines this effect on evaluations of a highly qualified male job candidate who is either gay or heterosexual and flawed or not flawed. We predicted and found, among 180 college students, that the overcorrection effect was present only for those individuals who have experienced no friendships with gay men. Those individuals who do have gay male friends did not exhibit overcorrection. We interpret this result as an indication that individuals who have gay friends (contact) ignore category information such as gay/ heterosexual and are more likely to exhibit truly egalitarian ratings. Implications for aversive bias and outgroup covariation perspectives are discussed. We presented portions of this paper at the 2000 Western Psychological Association conference, Maui, HI.     

Universal sex differences in the desire for sexual variety: tests from 52 nations, 6 continents,and 13 islands

Evolutionary psychologists have hypothesized that men and women possess both long-term and short-term mating strategies, with men's short-term strategy differentially rooted in the desire for sexual variety. In this article, findings from a cross-cultural survey of 16,288 people across 10 major world regions (including North America, South America, Western Europe, Eastern Europe, Southern Europe, Middle East, Africa, Oceania, South/Southeast Asia, and East Asia) demonstrate that sex differences in the desire for sexual variety are culturally universal throughout these world regions. Sex differences were evident regardless of whether mean, median, distributional, or categorical indexes of sexual differentiation were evaluated. Sex differences were evident regardless of the measures used to evaluate them. Among contemporary theories of human mating, pluralistic approaches that hypothesize sex differences in the evolved design of short-term mating provide the most compelling account of these robust empirical findings.