How personality relates to intelligence test performance: Implications for a theory of intelligence,ageing research and personality assessment

Previously reported findings indicate that variation of EEG evoked potential parameters is strongly related to both personality and intelligence differences (Robinson, 1982a, b). These data and the associated theory imply that personality should relate to intelligence test performance. Results are described in this report which indicate that subtest profiles obtained with the Wechsler Adult Intelligence Scale (WAIS) differ significantly for Ss scoring highest and lowest on the Extraversion (E) scale of the Eysenck Personality Questionnaire (EPQ); introverts tend to do better on the ‘Verbal’ subtests while extraverts tend to do better on the ‘Performance’ measures. Ss with middling scores on the E scale of the EPQ can also be distinguished in terms of specific WAIS profiles. In this case the results define two contrasting groups. Young male Ss with middling E scores tend to have high Psychoticism (P) and low Lie (L) scores on the EPQ as well as having distinctive WAIS profiles characterized by higher scores on subtests normally associated with a ‘Memory’ or ‘Attention-Concentration’ factor. Higher scores were also obtained by this subgroup on the Picture Arrangement and Block Design subtests which were previously shown to load a P + /L ? factor. The converse is true for older female Ss who also have middling E scores. As well as demonstrating a systematic relationship between personality and intelligence test performance these data provide some further support for a model of brain-behaviour relationships proposed by Robinson. Within this theoretical framework a neurophysiologically meaningful explanation can be provided for the three major factors that reliably emerge in factor-analytic studies of the WAIS. From an applied viewpoint, the data indicate that personality differences can be assessed from performance on tests such as the WAIS. On this issue the results are discussed with particular reference to Gittinger's Personality Assessment System. Implications for ageing research are also discussed.     

Relative weight and personality: analyses with the personality research form

A sample of 311 West German women and 254 men aged from 16 to 84 yr was investigated in order to examine the relationship between relative body weight (as an indicator of adequate/inadequate nutrition habits) and personality traits as measured by the Personality Research Form (PRF). To control for sex all analyses were done separately for men and women. A larger number of significant (linear and non-linear) relationships was found when sociodemographic factors (age and education) were not controlled. The univariate and multivariate relationships between relative weight and personality became practically insignificant, however, after statistical control of both factors. Personality types formed by cluster analysis also did no longer differ in mean relative weight when the values were adjusted for the effects of age and education. The conclusion is drawn that the individual degree of deviation from a medical or aesthetic body-weight norm is practically independent of the personality traits measured by the PRF (as long as the degree of obesity is not a severe one).     

Modern robust statistical methods: an easy way to maximize the accuracy and power of your research

Classic parametric statistical significance tests, such as analysis of variance and least squares regression, are widely used by researchers in many disciplines, including psychology. For classic parametric tests to produce accurate results, the assumptions underlying them (e.g., normality and homoscedasticity) must be satisfied. These assumptions are rarely met when analyzing real data. The use of classic parametric methods with violated assumptions can result in the inaccurate computation of p values, effect sizes, and confidence intervals. This may lead to substantive errors in the interpretation of data. Many modern robust statistical methods alleviate the problems inherent in using parametric methods with violated assumptions, yet modern methods are rarely used by researchers. The authors examine why this is the case, arguing that most researchers are unaware of the serious limitations of classic methods and are unfamiliar with modern alternatives. A range of modern robust and rank-based significance tests suitable for analyzing a wide range of designs is introduced. Practical advice on conducting modern analyses using software such as SPSS, SAS, and R is provided. The authors conclude by discussing robust effect size indices.     

Low-cost microcomputer networking: How to get high throughput on a low budget

A very low-cost, high-throughput laboratory data acquisition and experiment control system may be configured by using a star network architecture with a low-cost microcomputer as network controller and one or more microprocessor-based single-board controllers as satellites. A network of this type, using Apple II microcomputer ($1,500 with 48K RAM and one minidiskette drive) as main node and up to seven KIM-1 microcontrollers ($159 each) as satellites is described, and its development is discussed in detail.     

Motivational and personality variables distinguish academic underachievers from high achievers,low achievers,and overachievers

Social Psychology of Education - Previous studies have associated several variables concerning motivation and other domains with underachievement, i. e. a student's academic achievement falling...     

Relations between high and low power groups: the importance of legitimacy

Using a social identity perspective, two experiments examined the effects of power and the legitimacy of power differentials on intergroup bias. In Experiment 1, 125 math-science students were led to believe that they had high or low representation in a university decision-making body relative to social-science students and that this power position was either legitimate or illegitimate. Power did not have an independent effect on bias; rather, members of both high and low power groups showed more bias when the power hierarchy was illegitimate than when it was legitimate. This effect was replicated in Experiment 2 (N = 105). In addition, Experiment 2 showed that groups located within an unfair power hierarchy expected the superordinate power body to be more discriminatory than did those who had legitimately high or low power. The results are discussed in terms of their implications for group relations.     

How to, and how not to, bridge computational cognitive neuroscience and Husserlian phenomenology of time consciousness

A number of recent attempts to bridge Husserlian phenomenology of time consciousness and contemporary tools and results from cognitive science or computational neuroscience are described and critiqued. An alternate proposal is outlined that lacks the weaknesses of existing accounts.     

Becoming irreplaceable: How comparisons to the partner’s alternatives differentially affect low and high self-esteem people

It is proposed that people are motivated to feel hard to replace in romantic relationships because feeling irreplaceable fosters trust in a partner’s continued responsiveness. By contrast, feeling replaceable motivates compensatory behavior aimed at strengthening the partner’s commitment to the relationship. A correlational study of dating couples and two experiments examined how satiating/thwarting the goal of feeling irreplaceable differentially affects relationship perception and behavior for low and high self-esteem people. The results revealed that satiating the goal of feeling irreplaceable increases trust for people low in self-esteem. In contrast, thwarting the goal of feeling irreplaceable increases compensatory behaviors meant to prove one’s indispensability for people high in self-esteem.     

14 challenges and their solutions for conducting social neuroscience and longitudinal EEG research with infants

The use of electroencephalography (EEG) to study infant brain development is a growing trend. In addition to classical longitudinal designs that study the development of neural, cognitive and behavioural functions, new areas of EEG application are emerging, such as novel social neuroscience paradigms using dual infant-adult EEG recordings. However, most of the experimental designs, analysis methods, as well as EEG hardware were originally developed for single-person adult research. When applied to study infant development, adult-based solutions often pose unique problems that may go unrecognised. Here, we identify 14 challenges that infant EEG researchers may encounter when designing new experiments, collecting data, and conducting data analysis. Challenges related to the experimental design are: (1) small sample size and data attrition, and (2) varying arousal in younger infants. Challenges related to data acquisition are: (3) determining the optimal location for reference and ground electrodes, (4) control of impedance when testing with the high-density sponge electrode nets, (5) poor fit of standard EEG caps to the varying infant head shapes, and (6) ensuring a high degree of temporal synchronisation between amplifiers and recording devices during dual-EEG acquisition. Challenges related to the analysis of longitudinal and social neuroscience datasets are: (7) developmental changes in head anatomy, (8) prevalence and diversity of infant myogenic artefacts, (9) a lack of stereotypical topography of eye movements needed for the ICA-based data cleaning, (10) and relatively high inter-individual variability of EEG responses in younger cohorts. Additional challenges for the analysis of dual EEG data are: (11) developmental shifts in canonical EEG rhythms and difficulties in differentiating true inter-personal synchrony from spurious synchrony due to (12) common intrinsic properties of the signal and (13) shared external perturbation. Finally, (14) there is a lack of test-retest reliability studies of infant EEG. We describe each of these challenges and suggest possible solutions. While we focus specifically on the social neuroscience and longitudinal research, many of the issues we raise are relevant for all fields of infant EEG research.     

How the personality dimensions of neuroticism, extraversion and psychoticism relate to self-actualization

This study examines the relationship between the personality dimensions of ‘neuroticism’, ‘extraversion’, ‘psychoticism’, from the Eysenck Personality Questionnaire (EPQ) and ‘self-actualization’, measured by the Personal Orientation Inventory (POI) for 212 undergraduate students. The two major scales of the POI, (Time Competence and Inner Directed), both separately and as a combined measure of self-actualization were correlated with the scores obtained on the EPQ. The results showed the hypothesized significant negative relationship between neuroticism and self-actualization, and for females only, the hypothesized significant positive relationship between extraversion and self-actualization. Contrary to hypothesis, no relationship between psychoticism and self-actualization was found.     

Attachment theory and research: Resurrection of the psychodynamic approach to personality

Since the rise of the social-behaviorist approach to personality and its elaboration with cognitive concepts following “the cognitive revolution,” psychodynamic theories, usually identified with Sigmund Freud, have taken a beating. This makes it easy for mainstream personality-social psychologists to brush the psychodynamic approach aside. At the same time, researchers in both developmental and personality-social psychology have made great progress in testing and elaborating ideas presented by John Bowlby in his famous trilogy on attachment and loss. What outsiders to that perspective may not realize is that Bowlby was a psychoanalyst who saw himself as retracing Freud’s steps but with the advantage of new theoretical and empirical strategies. In this article, we conceptualize attachment theory as a contemporary psychodynamic approach, show how this theory has helped to bring psychodynamic psychology back to life, and review empirical evidence from our laboratories that supports many of the psychodynamic hypotheses advanced by Bowlby.     

How fair treatment affects saliva cortisol release in stressed low and high type-A behavior individuals

The effects of fair treatment on saliva cortisol release of low and high Type-A behavior participants in high or low stress conditions are studied. Based on the Injustice Stress Theory (Vermunt & Steensma, 2001), predictions were made about fair treatment as a stress reducing factor. The results support the expected effect of fair treatment in that high type-A behavior participants in the low stress conditions had lower saliva cortisol levels after fair treatment while this effect was absent in the neutral condition, while low type-A behavior participants showed lower saliva cortisol release in the high stress conditions after fair treatment while this effect was absent in the neutral condition. Moreover, saliva cortisol scores are correlated positively with negative affect scores and negatively with positive affect scores. The discussion focuses on theoretical implications and suggestions for future research.     

Co-variation between graphic pattern stability and attentional cost: A clue for the difficulty to produce handwritten traces

Attentional cost incurred for generating handwritten graphic patterns was investigated using a classic dual-task procedure, in which a concurrent reaction time (RT) task was used as an index of the attentional cost incurred by the primary graphic task. Eight right-handed adults had to trace graphic patterns, characterized by a 0°, 45°, 90°, 135° or 180° relative phase and corresponding to shapes ranging from lines to ellipses to circles, while responding by a key press as fast as possible to an auditory signal. The results evidenced a strong and significant correlation between the stability of the produced pattern and the associated attentional cost. The amplitude of the minor and major axes of the produced ellipsoids decreased with the increase of movement frequency, as expected by nonlinear models of oscillatory pattern generation. These findings pave the way to the study for the (coordinative) processes for letter (mal)formation in cursive handwriting.     

Depressive personality disorder: rates of comorbidity with personality disorders and relations to the five-factor model of personality

Depressive personality disorder (DPD) is listed in the DSM-IV as one of the "Disorders for Further Study." In this investigation we examined (1) the rates of comorbidity of DPD with the 10 personality disorders (PDs) in the main text of DSM-IV, and (2) the convergent and discriminant validity of DPD in its relation to the 30 facet traits of the Five-Factor Model of personality (FFM). One hundred and sixty-nine participants with psychiatric diagnoses were interviewed with the Structured Clinical Interview for DSM-IV Personality Disorders Questionnaire (SCID-II) and completed the Revised NEO Personality Inventory (NEO PI-R). A total of 26 (15%) of the participants met diagnostic criteria for at least one of the 10 main text PDs, and 15 (9%) met criteria for DPD. Of those who met criteria for DPD, 10 (59%) of the participants also met criteria for one or more of the 10 main text PDs. Regression analyses indicated a four-facet trait set derived from the NEO PI-R thought to be uniquely associated with DPD accounted for a significant amount of variance in DPD SCID-II PD scores and was significantly larger for DPD than it was for the 9 of the 10 main text PDs; the sole exception was for avoidant PD. Diagnostically, DPD overlaps significantly with other PDs but is distinguishable in its unique relation with traits from the FFM.