Mother and Adolescent Reports of Associations Between Child Behavior Problems and Mother-Child Relationship Qualities: Separating Shared Variance from Individual Variance

This study contrasts results from different correlational methods for examining links between mother and child (N = 72 dyads) reports of early adolescent (M = 11.5 years) behavior problems and relationship negativity and support. Simple (Pearson) correlations revealed a consistent pattern of statistically significant associations, regardless of whether scores came from the same reporter or from different reporters. When correlations between behavior problems and relationship quality differed, within-reporter correlations were always greater in magnitude than between-reporter correlations. Dyadic (common fate) analyses designed for interdependent data decomposed within-reporter correlations into variance shared across reporters (dyadic correlations) and variance unique to specific reporters (individual correlations). Dyadic correlations were responsible for most associations between adolescent behavior problems and relationship negativity; after partitioning variance shared across reporters, no individual correlations emerged as statistically significant. In contrast, adolescent behavior problems were linked to relationship support via both shared variance and variance unique to maternal perceptions. Dyadic analyses provide a parsimonious alternative to multiple contrasts in instances when identical measures have been collected from multiple reporters. Findings from these analyses indicate that same-reporter variance bias should not be assumed in the absence of dyadic statistical analyses.     

Dissociation, cognitive failures, and working memory

The relationships between two personality measures (dissociation and cognitive failures) and different measures of interference from secondary tasks for working memory are investigated. Although the personality and cognitive measures were correlated with one another, canonical and bivariate correlations revealed no systematic relationships between the personality measures and the working memory measures. The upper bounds of the confidence intervals showed that, at most, only 10% of the variance was shared. We discuss the implications for theories of dissociation and cognitive functioning.     

The shared and unique genetic relationship between mental well-being,depression and anxiety symptoms and cognitive function in healthy twins

Alterations to cognitive function are often reported with depression and anxiety symptoms, yet few studies have examined the same associations with mental well-being. This study examined the association between mental well-being, depression and anxiety symptoms and cognitive function in 1502 healthy adult monozygotic (MZ) and dizygotic (DZ) twins, and the shared/unique contribution of genetic (G) and environmental (E) variance. Using linear mixed models, mental well-being was positively associated (p?β?=?0.127), inhibition (β?=?0.096), cognitive flexibility (β?=?0.149), motor coordination (β?=?0.114) and working memory (β?=?0.156), whereas depression and anxiety symptoms were associated (p?β?=??0.134), inhibition (β?=??0.139), cognitive flexibility (β?=??0.116) and executive function (β?=??0.139). Bivariate twin modelling showed well-being shared a small environmental correlation with motor coordination and a small genetic correlation with working memory. Trivariate twin modelling showed well-being shared a small genetic correlation with inhibition, whereas depression and anxiety symptoms shared a small environmental correlation with inhibition. The remaining variance was mostly driven by unique G and/or E variance. Overall, well-being and depression and anxiety symptoms show both independent and shared relationships with cognitive functions but this is largely attributable to unique G or E variance and small shared G/E variance between pairs of variables.     

Comparing subtest profiles of g loadings and correlations with RT measures

It is argued that if a response time (RT) measure correlates with psychometric test (PT) scores because it shares variance in common with general intelligence, g, then the profile of g loadings for a set of PTs would be predictable from the profile of correlations between the RT measure and the PT scores. On the other hand, if an RT correlates with PTs through variance not shared with g, the g loadings of the PTs should be unrelated to the correlations between RT and PTs. The profiles of g loadings and correlations with RT were compared for a set of 6 RT measures and 8 PT scores from Smith and Stanley (1983). To demonstrate statistical significance, standard errors of the statistics were generated by Efron's bootstrap technique (Efron, 1979). It was clearly shown that the profile of the PT's g loadings could be well predicted from the RT-PT correlations for four of the RT measures. It can be concluded that RT tasks do measure general intelligence. Analysis of the errors in prediction suggested that the RTs may correlate more with fluid than crystallized intelligence.     

Predicting children’s liking of school from their peer relationships

Prior studies have established that children’s peer relationships and school adjustment are associated. The main aims of the current study were to test if four measures of peer relationships (Peer Acceptance, Presence/Absence of Best Friend, Number of Friends, and Perceived Peer Support) could predict School Liking concurrently and longitudinally across a 6 month period, and if gender moderated any of those associations. An opportunistic sample of girls and boys (N = 429 at Time 1 and N = 214 at Time 2) was drawn from 10 junior schools in the UK. A short-term longitudinal survey design was employed in which self- and peer-report measures were administered in small groups at Time 1 (November/December) and then again at Time 2 (May/June) of the same academic year. Concurrently, all four peer relationship variables emerged as significant non-unique predictors (i.e. not controlling for variance shared among the predictors) of School Liking; Peer Acceptance and Perceived Peer Support emerged as significant unique predictors (i.e. after controlling for variance shared among the predictors) of School Liking; the set of four peer relationship variables together accounted for a significant amount of variance in School Liking; and gender moderated the association between Peer Acceptance and School Liking. Longitudinally, Peer Acceptance was a significant unique predictor of changes in School Liking. This study adds to the literature by providing evidence of which specific peer relationships predict School Liking, and they support the call for interventions to enhance those relationships.     

External Single-Set Components Analysis Of Multiple Criterion/Multiple Predictor Variables

Although much progress has been made in clarifying the properties of canonical correlation analysis in order to enhance its applicability, there are several remaining problems. Canonical variates do not always represent the observed variables even though the canonical correlation is high. In addition, canonical solutions are often difficult to interpret.

This paper presents a method designed to deal with these two problems. Instead of maximizing the correlation between unobserved variates, the sum of squared inter-set loadings is maximized. Contrary to the canonical correlation solution, this method ensures that the shared variance between predictor variates and criterion variables is maximal. Instead of extracting variates from both criterion and predictor variables, only one set of components (from the predictor variables) is constructed. Without loss of common variance, an orthogonal rotation is applied to the resulting loadings in order to simplify structure.     

Effectiveness of the Hamilton Anxiety Rating Scale with Older Generalized Anxiety Disorder Patients

To expand the collection of instruments available for assessment of anxiety in the elderly, this report examined the original and revised Hamilton anxiety scales in a sample of 50 older adults diagnosed with Generalized Anxiety Disorder (GAD) and 93 normal community participants (ages 55–82). Although the revised anxiety scale had better discriminant validity (lower correlation with the revised Hamilton depression scale) than the original anxiety and depression scales, a considerable amount of shared variance still existed (41% shared variance, GAD sample alone; 17% control sample alone; 74% shared variance, both samples combined). Near-perfect group classification was possible using 7 items from the original anxiety scale and 10 items from the revised anxiety scale. Results are discussed in light of their implications for use of the Hamilton anxiety rating scale with older anxiety-disordered patients.     

The Construction,Preliminary Validation,and Correlates of a Dream‐Specific Scale for Mystical Experience

This study aimed to create and test a dream‐specific version of Hood's Mysticism (M) Scale for the purpose of studying dreaming mystical experience. Factor analysis of the Spiritual Dreams Scale (SDS), based on data collected from 289 adults affiliated with an American evangelical Christian school, clearly resulted in three factors in accordance with prior studies of the M Scale. However, the factor composition of the SDS did not identically resemble the findings of previous studies of the M Scale. Instead, the three‐factor solution suggested a Jamesian interpretation according to which the factors were labeled mystical psychology (passivity), perceived alternate reality (ineffability), and noesis. Scores on the SDS shared significant positive correlations with scores for absorption, dream beliefs, dream recall, and kataphatic prayer. A scale for apophatic prayer failed to share a significant correlation with the SDS.     

Personality types and traits in the Vocational Preference Inventory

The relationships between the six scales on which Holland's (1973) theory is based (viz., Realistic, Investigative, Social, Conventional, Enterprising, Artistic) and the five other scales (viz., Self-control, Masculinity, Status, Infrequency, Acquiescence) of the Vocational Preference Inventory (VPI) (Holland, 1970) were investigated using canonical analysis. Considering the six personality type scales as one set of variables and the five trait scales of the VPI as the second set of variables, five significant canonical correlations were obtained for a sample of 373 mostly white undergraduate students. In a second study, three significant canonical correlations were found for a sample of 115 black college students at another school. The weights of the VPI scales suggested that three patterns of relationships among the scales are shared by the black sample and the mostly white sample.     

Geophysical variables and behavior: XXI. Geomagnetic variation as possible enhancement stimuli for UFO reports preceding earthtremors

The contribution of geomagnetic variation to the occurrence of UFORs (reports of UFOs) within the New Madrid States during the 6-mo. increments before increases in the numbers of IV-V or less intensity earthquakes within the central USA was determined. Although statistically significant zero-order correlations existed between measures of earthquakes, UFORs and geomagnetic variability, the association between the latter two deteriorated markedly when their shared variance with earthquakes was held constant. These outcomes are compatible with the hypothesis that geomagnetic variability (or phenomena associated with it) may enhance UFORs but only if tectonic stress and strain are increasing within the region.     

K-fold Crossvalidation in Canonical Analysis

A computer-assisted, K-fold crossvalidation technique is discussed within the framework of canonical correlation analysis of randomly generated data sets. Results of the analysis suggest that this technique of multi-crossvalidation can be an effective method to reduce the contamination of canonical variates and canonical correlations by sample-specific variance components.     

Reversing the speed–IQ correlation: Intra-individual variability and attentional control in the inspection time paradigm

Elementary cognitive tasks (ECTs) are simple tasks involving basic cognitive processes for which speed of performance typically correlates with IQ. Inspection time (IT) has the strongest IQ correlations and is considered critical evidence for neural speed underlying individual differences in intelligence. However, results from Bors et al. [Bors, D.A., Stokes, T.L., Forrin, B. & Hodder, S.L., (1999). Inspection Time and Intelligence: Practice, strategies, and attention. Intelligence, 27, 111–129.] suggest task consistency may underlie this shared variance. One possibility is that performance consistency reflects attentional mechanisms, as previous research has shown relationships between attentional control and cognitive performance. In study 1, participants were administered the Raven's Advanced Progressive Matrices and performed an alternative version of the IT task to measure individual trial-by-trial consistency expressed as the standard deviation of IT (ITSD). The alternative procedure yielded IT–IQ correlations similar to those obtained in previous studies and ITSD accounted for the IT–IQ variance. A second experiment tested whether ITSD measures attentional control, as participants simultaneously performed the IT task and an attention-demanding verbalization task. Under these conditions, high IQ participants performed worse on IT. These results suggest IT performance may reflect individual differences in attentional control and that this variable may account for the variance shared between IT and IQ.     

Extreme outcome expectations and affect intensity

Two studies tested the hypothesis that extreme outcome expectations are associated with affect intensity. Study 1 (N=104) measured extreme outcome expectations in response to one's idiosyncratic goals, and Study 2 (N=93) measured extreme outcome expectations in response to common life events. Higher levels of affect intensity were associated with higher levels of extreme outcome expectations in both studies. The association between affect intensity and extreme outcomes expectations held even after controlling for shared variance with other affective variables (i.e., trait pleasant affect, trait unpleasant affect, affect variability) and other variables that might overlap with extreme outcome expectations (i.e., optimism, pessimism).     

Exploring the relations between traits and emotions

The relationships among traits and among emotions have been well researched and are well known, but few experimental probes of the relationships between traits and emotions have been undertaken. The present investigation sought to describe the relations that exist between traits and emotions. The Comrey Personality Scale (a trait inventory) and the Profile of Mood States (an emotion inventory) were administered to 140 students and the subscales were correlated using canonical procedures. The resulting canonical correlations may be specified in bipolar summary form as follows: Neurotic-Stable was found to be correlated with Depressed-Hopeful; Introverted-Extraverted was found to be correlated with Quiescent-Vigorous; and Empathic-Egocentrical was found to be correlated with Content-Confused. Furthermore, the predictive strength between the trait set and the emotion set was reasonably good, although substantially better when traits rather than emotions served as the predictors.     

The importance of gender and affect in the socialization of adolescents' beliefs about benevolent authority: Evidence from Chinese indigenous psychology

Belief in the benevolence and moral legitimacy of leaders in central government is theorized as a form of cultural capital consistent with the hierarchical relationalism of East Asian societies with Confucian roots. A reliable measure of benevolent authority beliefs (BAB) is introduced, and its convergent and discriminant validity relative to established measures of institutional trust are established. Its socialization as part of the political culture of Taiwan was examined among high school adolescents aged 13–16. Significant gender differences were found inconsistent with traditional patriarchy. Regression analyses showed that within the relationship with mothers but not fathers, adolescents associated higher reciprocal filial piety, authoritative parenting, and authentic (positive) affect with higher BAB. For daughters but not sons, reciprocal filial piety, authoritative parenting style, and authentic (positive) affect in the relationship with their father were positively associated with BAB. Affect‐based transfer from parent‐child relationships rather than authoritarian obligations based on rote learning was a key socializing factor in a contemporary Chinese society.     

Personality correlates of life values

The present study sought to determine whether significant relationships exist between life value preferences and personality traits and to describe the nature of any relationships identified. Administered to 310 undergraduate and graduate students were the 16 PF personality inventory and a 55-item Life Values Inventory which assessed values governing life styles and orientations. A factor analysis of the Life Values Inventory resulted in the identification of 14 life values dimensions. Factor scores for these 14 dimensions were then employed in a canonical analysis and a factor analysis with the 16 PF scores. The canonical analysis yielded results significant at the .001 level. The factor analysis yielded 10 factors, many of which displayed shared common-factor variance between Life Values and 16 PF variables. The interpretation of that shared variance identified several personality correlates of life values that suggested causal and developmental interactions of some value in describing and explaining human behavior.     

The Relationship Between Emotional Intelligence and Performance Among College Basketball Players

This study explored the nature of the relationship between muscle dysmorphia symptoms and self-concept as well as negative affect variables. Female (n = 183) and male (n = 103) college students completed a packet of questionnaires. Data were analyzed using canonical correlation analyses and revealed significant relationships between the sets of variables. Specifically, the variance explained by muscle dysmorphia symptoms in self-concept and negative affect variables was greater than the variance explained in muscle dysmorphia symptoms by self-concept and negative affect. Perceived body attractiveness and social physique anxiety were the individual variables that predominantly contributed to the multivariate relationships.     

Some rao-guttman relationships

An examination of the determinantal equation associated with Rao's canonical factors suggests that Guttman's best lower bound for the number of common factors corresponds to the number of positive canonical correlations when squared multiple correlations are used as the initial estimates of communality. When these initial communality estimates are used, solving Rao's determinantal equation (at the first stage) permits expressing several matrices as functions of factors that differ only in the scale of their columns; these matrices include the correlation matrix with units in the diagonal, the correlation matrix with squared multiple correlations as communality estimates, Guttman's image covariance matrix, and Guttman's anti-image covariance matrix. Further, the factor scores associated with these factors can be shown to be either identical or simply related by a scale change. Implications for practice are discussed, and a computing scheme which would lead to an exhaustive analysis of the data with several optional outputs is outlined.