Where are the gender differences? Male priming boosts spatial skills in women

The effects of gender stereotype activation by priming on performance in a spatial task were investigated among a mixed adult sample (including students) of 161 men and women (mean age=31.90) from Austria (Europe). They were assigned to one of four experimental groups according to gender and stereotype activation condition. After a male or female gender stereotype activating task, participants worked on a test assessing mental rotation (three-dimensional cube test, Gittler 1990). A significant main effect of priming on the performance in the mental rotation task emerged. Cohen’s d showed a pronounced gender difference emerging only in the female priming condition (d=.59), whereas it disappeared in the male priming condition (d=.01)

Assessing Personality Traits Through Response Latencies Using Item Response Theory

Recent studies have revealed a relation between the given response and the response latency for personality questionnaire items in the form of an inverted-U effect, which has been interpreted in light of schema-driven behavior. In general, more probable responses are given faster. In the present study, the relationship between the probability of the given response and the response latency was investigated. First, a probabilistic model was introduced describing the relationship between response latencies and a latent trait. Second, the model was applied in an empirical study: Employing items from a personality questionnaire and using data from 170 men, the probability of responses were estimated based on the Rasch model. Assuming log-normally distributed response latencies, a linear regression model was fit to the logarithmized response latencies, including the response probability as a predictor. Findings suggested that the quantities are negatively related. This relation can be used to incorporate the response latency into the estimation of trait levels. For the scales used in the study, the results showed that test information could be increased by 13% to 17% when considering response latencies

How to foster learning? By limiting the response speed

The aim of this research is to analyse the relevance of speed response and its regulation for learning. In order to avoid the biases of self-reports, we used a computerized objective test, The Category Learning Test (CLT). It measures the student’s actual behaviour while completing a learning task. In the first study (N = 41), we found that university students that achieved a high learning index performed slower than their mates did (t (37) = −4.05, p < .001, η2 = .307). Therefore, acting too fast was associated with poor performance in the task. In the second study (N = 184), we divided the sample into two groups and we applied a speed limit to the intervention group in order to promote learning. The intervention group achieved a higher learning index than the control group (t (129) = −8.36, p < .001, η2 = .298). Hence, the speed limit fostered learning. Therefore, regulation of the speed may be appropriate to foster learnin

Overweight People Have Low Levels of Implicit Weight Bias, but Overweight Nations Have High Levels of Implicit Weight Bias

Although a greater degree of personal obesity is associated with weaker negativity toward overweight people on both explicit (i.e., self-report) and implicit (i.e., indirect behavioral) measures, overweight people still prefer thin people on average. We investigated whether the national and cultural context - particularly the national prevalence of obesity predicts attitudes toward overweight people independent of personal identity and weight status. Data were collected from a total sample of 338,121 citizens from 71 nations in 22 different languages on the Project Implicit website (https://implicit.harvard.edu/) between May 2006 and October 2010. We investigated the relationship of the explicit and implicit weight bias with the obesity both at the individual (i.e., across individuals) and national (i.e., across nations) level. Explicit weight bias was assessed with self-reported preference between overweight and thin people; implicit weight bias was measured with the Implicit Association Test (IAT). The national estimates of explicit and implicit weight bias were obtained by averaging the individual scores for each nation. Obesity at the individual level was defined as Body Mass Index (BMI) scores, whereas obesity at the national level was defined as three national weight indicators (national BMI, national percentage of overweight and underweight people) obtained from publicly available databases. Across individuals, greater degree of obesity was associated with weaker implicit negativity toward overweight people compared to thin people. Across nations, in contrast, a greater degree of national obesity was associated with stronger implicit negativity toward overweight people compared to thin people. This result indicates a different relationship between obesity and implicit weight bias at the individual and national levels

The case of dependency of responses and response times: A modeling approach based on standard latent trait models

Abstract When modeling responses and response times in tests with latent trait models, the assumption of conditional independence between responses and response times might be too strong in the case that both data are gained from reactions to the same item. In order to account for the possible dependency of responses and response times from the same item, a generalization of the model of van der Linde

Effects of response format on achievement and aptitude assessment results: multi-level random effects meta-analyses

Psychological achievement and aptitude tests are fundamental elements of the everyday school, academic and professional lives of students, instructors, job applicants, researchers and policymakers. In line with growing demands for fair psychological assessment tools, we aimed to identify psychometric features of tests, test situations and test-taker characteristics that may contribute to the emergence of test bias. Multi-level random effects meta-analyses were conducted to estimate mean effect sizes for differences and relations between scores from achievement or aptitude measures with open-ended (OE) versus closed-ended (CE) response formats. Results from 102 primary studies with 392 effect sizes revealed positive relations between CE and OE assessments (mean r = 0.67, 95% CI [0.57; 0.76]), with negative pooled effect sizes for the difference between the two response formats (mean dav = −0.65; 95% CI [−0.78; −0.53]). Significantly higher scores were obtained on CE exams. Stem-equivalency of items, low-stakes test situations, written short answer OE question types, studies conducted outside the United States and before the year 2000, and test-takers' achievement motivation and sex were at least partially associated with smaller differences and/or larger relations between scores from OE and CE formats. Limitations and the results’ implications for practitioners in achievement and aptitude testing are discussed

Effects of response format on psychometric properties and fairness of a matrices test: multiple choice versus free response

Reasoning is regarded to be an essential facet of fundamental cognitive abilities. As examinee characteristics may affect performance in Reasoning tests, concern about maintaining fairness is expressed. The purpose of the current study was to examine effects of response format on psychometric properties and fairness of a matrices test according to examinee´s sex, risk propensity, and test anxiety. A total of 433 German-speaking pupils (aged 14 to 20) were randomly assigned to either a multiple choice or a free response version of the same 25-item test. Data analysis yielded Rasch-homogeneous 23-item versions, with higher reliability, but lower criterion validity for the free response test. No interactions between response format and sex, test anxiety, or risk propensity were revealed, but a significant main effect of sex: men out-performed women in reasoning irrespective of response format. Results are discussed with reference to attributes of the test situation and sample characteristics