Latent roots of random data correlation matrices with squared multiple correlations on the diagonal: A monte carlo study

In order to make the parallel analysis criterion for determining the number of factors easy to use, regression equations for predicting the logarithms of the latent roots of random correlation matrices, with squared multiple correlations on the diagonal, are presented. The correlation matrices were derived from distributions of normally distributed random numbers. The independent variables are log (N–1) and log {[n(n–1)/2]–[(i–1)n]}, whereN is the number of observations;n, the number of variables; andi, the ordinal position of the eigenvalue. The results were excellent, with multiple correlation coefficients ranging from .9948 to .9992.This research was supported by the Office of Naval Research under Contract N00014-67-A-0305-0012, Lloyd G. Humphreys, principal investigator, and by the Department of Computer Science of which Richard G. Montanelli, Jr., is a member.     

Word Memory Test Performance in Children

One-hundred and thirty-five children between the ages of 7 and 18 years were evaluated clinically. Their diagnoses included Fetal Alcohol Syndrome (FAS) or Effects, Schizophrenia, Bipolar Mood Disorder, various neurological diseases, Attention Deficit Hyperactivity Disorder (ADHD), Conduct Disorder, Oppositional-Defiant Disorder and learning disabilities. As part of a comprehensive neuropsychological assessment, the children were given the Word Memory Test (WMT; Green, Allen, & Astner, 1996; Green & Astner, 1995), containing various subtests which measure, respectively, effort and verbal memory. Although age and verbal intelligence are known to affect scores on most ability tests, they were not found to be significant determinants of WMT effort scores. Younger children did not score any lower on the effort subtests than older children. The children scored as well as a group of parents seeking custody of their children and they scored higher than adult patients with mild head injuries. The computerized WMT requires some basic reading skills and some children with lower than a grade 3 reading level scored at a relatively low level on the effort subtests. The current data suggest that most children with at least a grade 3 reading level can pass the WMT using the adult criteria. It is concluded that the WMT is potentially useful in the evaluation of effort during pediatric neuropsychological evaluations. Further research is needed to replicate these findings and to develop child norms for the memory subtests.     

The Calgary semantic decision project: concrete/abstract decision data for 10,000 English words

Psycholinguistic research has been advanced by the development of word recognition megastudies. For instance, the English Lexicon Project (Balota et al., 2007) provides researchers with access to naming and lexical-decision latencies for over 40,000 words. In the present work, we extended the megastudy approach to a task that emphasizes semantic processing. Using a concrete/abstract semantic decision (i.e., does the word refer to something concrete or abstract?), we collected decision latencies and accuracy rates for 10,000 English words. The stimuli were concrete and abstract words selected from Brysbaert, Warriner, and Kuperman’s (2013) comprehensive list of concreteness ratings. In total, 321 participants provided responses to 1,000 words each. Whereas semantic effects tend to be quite modest in naming and lexical decision studies, analyses of the concrete/abstract semantic decision responses show that a substantial proportion of variance can be explained by semantic variables. The item-level and trial-level data will be useful for other researchers interested in the semantic processing of concrete and abstract words.     

Infant behaviors influence mothers’ provision of responsive and directive behaviors

Mother–infant interactions are important to infant development because they are predictive of infants’ social, cognitive, and language development (0070 and 0150). Because maternal responsive and directive behaviors are associated with differential infant outcomes, it is important to investigate influences on mothers’ provision of responsive and directive behaviors. Yet, the dyadic interaction literature is predominantly unidirectional from maternal behavior to infant outcomes. Therefore, the current study examined infant initiating behaviors and consequent maternal responses in a sample of 26 13-month-old infants and their mothers, videotaped during 5 min of free-play. Findings revealed that infants produced a variety of initiatives, and that these different infant initiatives prompted differential patterns of maternal responsive versus directive behaviors. Further, results of analyses of divergent types of maternal directive behaviors – Responsive Directives, ReDirectives, and Intrusive Directives – also may help clarify major discrepancies in the current literature regarding the positive and negative effects of maternal directiveness.     

Opposition from Christians to Myers–Briggs personality typing: an analysis and evaluation

Myers–Briggs personality typing is widely used in the Christian church as an aid to individual self‐understanding and spiritual formation. However, some Christian leaders have expressed doubt about its validity in understanding human personality and also opposition to its use in nurturing spiritual growth. The aim of the work reported was to identify and examine the reasons for this negative stance towards personality typing. It was achieved by content analysis of published writings and, in a few cases, by correspondence with persons known to have a critical stance. The analysis showed five principal areas of concern: misuse of personality typing in spiritual formation; personality typing as a simplistic analysis; personality typing as a restrictive pigeon‐holing; unethical use of personality typing; and the Jungian derivation of personality type theory. Evaluation of this unease reveals significant semantic and epistemological issues and also a concern that personality typing, while not denying the tenets of Christian belief, could rival them for primacy in the hearts and minds of Christians.     

In Their Footsteps or Shadow? Gender Differences in Choosing a STEM Major as a Function of Sibling Configuration and Older Sibling’s Gender and Math Ability

Although the association between siblings’ compositional characteristics and educational performance has been extensively studied, the question of whether the features of a sibling group are related to substantive gendered educational preferences has not been examined. Our analysis of the National Longitudinal Survey of Youth 1979 cohort (NLSY-79) Mothers and Children Files (N?=?1545; 57% young women; 22% STEM major) showed that siblings’ compositional characteristics matter for STEM major preferences in college, but only for young women. Our findings indicated that women were more likely to prefer a STEM major if they were raised in smaller sibling groups, in male sibling group dominance, and if they had an older sister with high math achievement. These results are in line with the resource dilution approach; they shed light on the effects of being in a normative male-role sibling group climate; and they suggest that gendered outcomes are shaped by the interplay of role modeling and same-gender competitive stimulation. We also found that for young men, their preference for majoring in a STEM field was mostly driven by their own math ability. These findings suggest that socialization experiences that operate on the sibling level play a crucial role in whether girls become interested in and pursue “gender-atypical” educational choices. Our findings also underscore the need to differentiate these theoretical approaches by gender, particularly when applied to gendered outcomes such as STEM career trajectories.

     

Objectivity and a comparison of methodological scenario approaches for climate change research

Climate change assessments rely upon scenarios of socioeconomic developments to conceptualize alternative outcomes for global greenhouse gas emissions. These are used in conjunction with climate models to make projections of future climate. Specifically, the estimations of greenhouse gas emissions based on socioeconomic scenarios constrain climate models in their outcomes of temperatures, precipitation, etc. Traditionally, the fundamental logic of the socioeconomic scenarios—that is, the logic that makes them plausible—is developed and prioritized using methods that are very subjective. This introduces a fundamental challenge for climate change assessment: The veracity of projections of future climate currently rests on subjective ground. We elaborate on these subjective aspects of scenarios in climate change research. We then consider an alternative method for developing scenarios, a systems dynamics approach called ‘Cross-Impact Balance’ (CIB) analysis. We discuss notions of ‘objective’ and ‘objectivity’ as criteria for distinguishing appropriate scenario methods for climate change research. We distinguish seven distinct meanings of ‘objective,’ and demonstrate that CIB analysis is more objective than traditional subjective approaches. However, we also consider criticisms concerning which of the seven meanings of ‘objective’ are appropriate for scenario work. Finally, we arrive at conclusions regarding which meanings of ‘objective’ and ‘objectivity’ are relevant for climate change research. Because scientific assessments uncover knowledge relevant to the responses of a real, independently existing climate system, this requires scenario methodologies employed in such studies to also uphold the seven meanings of ‘objective’ and ‘objectivity.’