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.     

Item grouping and item randomization in personality measurement

This paper describes a study examining the impact of item order in personality measurement on reliability, measurement equivalence and scale-level correlations. A large sample of university students completed one of three forms of the International Personality Item Pool version of the Big Five personality inventory: items sorted at random, items sorted by factor, and items cycled through factors. Results showed that the underlying measurement model and the internal consistency of the IPIP-Big Five scale was unaffected by differences in item order. Also, most of the scale-level correlations among factors were not significantly different across forms. Implications for the administration of tests and interpretation of test scores are discussed, and future research directions are offered.     

The effect of different methods to construct non-symbolic stimuli in numerosity estimation and comparison

Numerosity estimation and comparison tasks are often used to measure the acuity of the approximate number system (ANS), a mechanism which allows extracting numerosity from an array of dots independently from several visual cues (e.g. area extended by the dots). This idea is supported by studies showing that numerosity can be processed while these visual cues are controlled for. Different methods to construct dot arrays while controlling their visual cues have been proposed in the past. In this paper, these methods were contrasted in an estimation and a comparison task. The way of constructing the dot arrays had little impact on estimation. In contrast, in the comparison task, participants' performance was significantly influenced by the method that was used to construct the arrays of dots, indicating better performance when the visual cues of the dot arrays (partly) co-varied with numerosity. The present study therefore shows that estimates of ANS acuity derived from comparison tasks are inconsistent and dependent on how the stimuli are constructed. This makes it difficult to compare studies which utilised different methods to construct the dot arrays in numerosity comparison tasks. In addition, these results question the currently held view of the ANS as capable of robustly extracting numerosity independently from visual cues.     

Cognitive adjustment as an indicator of psychological health at work: Development and validation of a measure

Based on organizational socialization literature (e.g., Bauer, Bodner, Erdogan, Truxillo, & Tucker, 2007; Kammeyer-Mueller & Wanberg, 2003; Saks, Uggerslev, & Fassina, 2007) and Conservation of Resources theory (COR theory; Hobfoll, 1989, 2001), this article aims to develop a conceptualization and a measurement of cognitive adjustment at work (CAW), as an indicator of psychological health in the workplace. Two studies, including three independent samples (N_A = 296, N_B = 350, N_C = 139), were conducted to test an operational proposal of CAW. In Study 1, exploratory and confirmatory factor analyses, as well as reliability and temporal invariance analyses, were performed to test the structure of both the construct and the instrument. In Study 2, nomological network analysis was conducted. Results suggest strong empirical support for the structure and validity of CAW, defined as a second-order factor, which includes task adjustment, work group adjustment and organizational adjustment.     

False consensus in situational judgment tests: What would others do?

We introduce an alternative response instruction to reduce the fakability of situational judgment tests. This novel instruction is based on the false consensus effect, a robust social psychological bias whereby people infer that the majority of other people’s thoughts, attitudes, and behaviors are aligned with their own. In four studies, including both field and laboratory data (total N = 882), we demonstrate that participants show a false consensus bias when asked what others would do in situational judgment tests. Furthermore, the situational judgment test based on the false consensus effect turned out to relatively difficult to be fake, and produced scores that were meaningfully correlated with conceptually related traits, as well as both self-reported and behavioral outcomes.     

Reliability and validity of the Finnish version of the motor observation questionnaire for teachers

ObjectivesObservational screening instruments are often used as an effective, economical first step in the identification of children with Developmental Coordination Disorder (DCD). The aim was to investigate the psychometric properties of the Finnish version of the Motor Observation Questionnaire for Teachers (MOQ-T-FI).MethodsThe psychometric properties were tested using two separate samples (S1: age range 6–12, M 9y 5mo, females 101, males 92; S2: age range 6–9, M 7y 7mo, females 404, males 446). Teachers completed the MOQ-T-FI in both samples, and in sample 2 teachers’ ratings were compared to student’s performance on the Movement Assessment Battery for Children-Second Edition (MABC-2). Internal consistency was investigated by using Cronbach’s alpha, predictive validity by receiver operating characteristic (ROC) analysis, concurrent validity by correlation analysis, and construct validity by factor analysis.ResultsThe MOQ-T-FI behaves consistently with its original Dutch version. The internal consistency was excellent (α = 0.97). The bifactor model, with one general factor and two specific factors, fit the data significantly better than the first-order model. The concurrent validity with the MABC-2 was moderate (r = 0.37 p < 0.001). Sensitivity was 82.5% and specificity 44.5%, respectively.ConclusionNotwithstanding the low specificity the MOQ-T-FI can be considered as a promising screening tool in the school environment for Finnish children at risk of motor learning problems.     

Taking theoretical risks in a world of directional predictions

As Meehl (1978) observed, one major reason for the painfully slow progress of soft psychology is our field’s heavy reliance on directional predictions, which leads to feeble tests of theories. In the present commentary, I outline six ways of taking theoretical risks in a world of directional predictions: (1) constructive replication of findings, (2) generating multiple maximally independent predictions, (3) adherence to the total evidence rule, (4) discriminant validation of measures, (5) incremental validation of measures, and (6) according attention to higher-order personality dimensions.     

Rugby versus Soccer in South Africa: Content familiarity contributes to cross-cultural differences in cognitive test scores

In this study, cross-cultural differences in cognitive test scores are hypothesized to depend on a test's cultural complexity (Cultural Complexity Hypothesis: CCH), here conceptualized as its content familiarity, rather than on its cognitive complexity (Spearman's Hypothesis: SH). The content familiarity of tests assessing short-term memory, attention, working memory, and figural and verbal fluid reasoning, was manipulated by constructing test versions with an item content derived from either Afrikaans or Tswana culture in South Africa. Both test versions were administered to children of both cultures. The sample consisted of 161 urban Afrikaans, 181 urban, and 159 rural Tswana children (M_age = 9.37 years). Children generally performed best on the test version that was designed for their own group, particularly on the cognitively and culturally complex working memory and figural fluid reasoning tests. This relation between content familiarity and cognitive test performance supports CCH and disconfirms SH.     

Neural network applications in consumer behavior

This article introduces the concepts and terminology of artificial neural networks. The approach is demonstrated on data that represent a domain of interest to the consumer psychologist. ANNs are mathematical models that are commonly used in business applications to model relationships between variables. A key strength of ANNs is their flexibility, i.e. their ability to easily accommodate linear and non-linear relationships without any a priori functional form specification. They can easily be used to study topics of interest to consumer psychologists such as persuasion, influence, segmentation etc and can offer distinct advantages over traditional statistical techniques such as ANOVA and regression. We demonstrate the application of ANNs in three different areas: regression, non-linear principal component analysis and classification.