On some objective and subjective aspects of discriminating between correlated and independent patterns and their relationship to Locus of Control and depression

ABSTRACT

Acknowledging the fact that there seems to be a well-established connection between depression and Locus of Control, we propose that Locus of Control is at least partly determined by one’s objective ability to discriminate between random and non-random stimuli and events. Further, we claim that this ability is indirectly related to depression through Locus of Control which serves as a mediator. In addition, we hypothesise that a subjective threshold, important in discriminating between random and correlated stimuli, is directly related to both depression and Locus of Control. Results from a study with 128 subjects indicate that the majority of our conjectures are supported by the data, the exception being that while the subjective threshold is significantly related to depression it appears to have no tangible influence on Locus of Control.     

The inter-item standard deviation (ISD): An index that discriminates between conscientious and random responders

Although random responding is prevalent and increases Type II errors, most psychologists avoid trying to identify it because the means to do so are extremely limited. We propose the inter-item standard deviation (ISD), a statistical index of response variance, is suited for this task. We hypothesized that random responders produce large ISDs because they respond to items all over a measure’s response range, whereas conscientious responders produce small ISDs because they respond to items more consistently. We administered a questionnaire containing the NEO-FFI-3 and an embedded validity scale to 134 university students. Another 134 responders were created using a random number generator. For all 268 responders, the ISD was calculated for each of the NEO-FFI-3′s five subscales and an aggregated ISD was calculated by averaging the five ISD indexes. Results showed that (1) random responders produce significantly larger ISDs than conscientious responders, (2) the ISDs were strongly correlated with the embedded validity scale and with one another, and (3) the ISDs correctly identified responders with greater than 80% classification accuracy. The mean ISD yielded greater than 95% classification accuracy. This study shows that responders can be identified by quantifying inter-item response variance.     

How numbers mean: Comparing random walk models of numerical cognition varying both encoding processes and underlying quantity representations

How do people derive meaning from numbers? Here, we instantiate the primary theories of numerical representation in computational models and compare simulated performance to human data. Specifically, we fit simulated data to the distributions for correct and incorrect responses, as well as the pattern of errors made, in a traditional “relative quantity” task. The results reveal that no current theory of numerical representation can adequately account for the data without additional assumptions. However, when we introduce repeated, error-prone sampling of the stimulus (e.g., Cohen, 2009) superior fits are achieved when the underlying representation of integers reflects linear spacing with constant variance. These results provide new insights into (i) the detailed nature of mental numerical representation, and, (ii) general perceptual processes implemented by the human visual system.     

Personality has minor effects on panel attrition

In light of the recent interest in using longitudinal panel data to study personality development, it is important to know if personality traits are related to panel attrition. We analyse the effects of personality on panel drop-out separately for an ‘older’ subsample (started in 1984), a relatively ‘young’ subsample (started in 2000), and a ‘new’ subsample (started in 2009) of the German Socio-Economic Panel (SOEP) study. We found that openness slightly decreases the probability of panel drop-out in all three samples. For the ‘older’ subsample only, we found a small negative effect of agreeableness on panel drop-out. We control for age, sex, education, migration background, and the number of inhabitants in the region of the respondents.     

Personality and value correlates of careless and erratic questionnaire responses

This study examined the individual difference correlates of the validity scale from the Hogan Personality Inventory (HPI) which measures the extent to which a respondent has reported in a careless, erratic or random way. The aim was to determine the typical response profile of a careless and erratic respondent. Over 10,000 adults completed three measures: one of normal “bright-side” personality (HPI), one of “dark-side” personality (Hogan Development Survey, HDS) and one of motivation (Motives, Values, Preferences Inventory, MVPI). Scores on these measures were related to the validity scale scores using correlations and regressions. Bright and dark side measures were more strongly and logically related to validity scores than motives and values. Implications and limitations are discussed.