Individual differences in arithmetic fluency

Este estudio contrasta la hipótesis de que las dificultades que tienen algunos sujetos en el dominio de las tablas de multiplicar se deban a su incapacidad para afrontar la interferencia. Los resultados no muestran diferencias en medidas de interferencia en un tarea de recuerdo serial entre sujetos con alta y baja habilidad en la resolución de multiplicaciones. Sin embargo, se encuentran diferencias asociadas a su dominio de las representaciones numéricas.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. Ministerio de Economía y Competitividad. Proyecto PSI-2012-38423

Explaining individual differences in linguistic proficiency

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Individual differences and health in chronic pain: are sex-differences relevant?

Background: Because psychological variables are known to intercorrelate, the goal of this investigation was to compare the unique association between several well-established psychological constructs in pain research and pain-related outcomes. Sex differences are considered because pain is experienced differently across sex groups. Methods: Participants were 456 consecutive chronic pain patients attending a tertiary pain clinic (mean age = 58.4 years, SD = 14.8, 63.6% women). The study design was cross-sectional. Psychological constructs included personality (NEO-Five Factor Inventory), irrational thinking (General Attitudes and Beliefs Scale), and coping (Social Problem Solving Inventory). Outcomes were pain severity and interference (Brief Pain Inventory) and physical, general, and mental health status (Short Form-36). To decide whether the bivariate analyses and the two-block, multivariate linear regressions for each study outcome (block 1 = age, sex, and pain severity; block 2 = psychological variables) should be conducted with the whole sample or split by sex, we first explored whether sex moderated the relationship between psychological variables and outcomes. An alpha level of 0.001 was set to reduce the risk of type I errors due to multiple comparisons. Results: The moderation analyses indicated no sex differences in the association between psychological variables and study outcomes (all interaction terms p > .05). Thus, further analyses were calculated with the whole sample. Specifically, the bivariate analyses revealed that psychological constructs were intercorrelated in the expected direction and mostly correlated with mental health and overall perceived health status. In the regressions, when controlling for age, sex, and pain severity, psychological factors as a block significantly increased the explained variance of physical functioning (ΔR2 = .037, p < .001), general health (ΔR2 = .138, p < .001), and mental health (ΔR2 = .362, p < .001). However, unique associations were only obtained for mental health and neuroticism (β = − 0.30, p < .001) and a negative problem orientation (β = − 0.26, p < .001). Conclusions: There is redundancy in the relationship between psychological variables and pain-related outcomes and the strength of this association is highest for mental health status. The association between psychological characteristics and health outcomes was comparable for men and women, which suggests that the same therapeutic targets could be selected in psychological interventions of pain patients irrespective of sex

Individual Differences in Cyber Security

A survey of IT professionals suggested that despite technological advancement and organizational procedures to prevent cyber-attacks, users are still the weakest link in cyber security (Crossler, 2013). This suggests it is important to discover what individual differences may cause a user to be more or less vulnerable to cyber security threats. Cyber security knowledge has been shown to lead to increased learning and proactive cyber security behavior (CSB). Self-efficacy has been shown to be a strong predictor of a user’s intended behavior. Traits such as neuroticism have been shown to negatively influence cyber security knowledge and self-efficacy, which may hinder CSB. In discovering what individual traits may predict CSB, users and designers may be able to implement solutions to improve CSB. In this study, 183 undergraduate students at San José State University completed an online survey. Students completed surveys of self-efficacy in information security, and cyber security behavioral intention, as well as a personality inventory and a semantic cyber security knowledge quiz. Correlational analyses were conducted to test hypotheses related to individual traits expected to predict CSB. Results included a negative relationship between neuroticism and self-efficacy and a positive relationship between self-efficacy and CSB. Overall, the results support the conclusion that individual differences can predict self-efficacy and intention to engage in CSB. Future research is needed to investigate whether CSB is influenced by traits such as neuroticism, if CSB can be improved through video games, and which are the causal directions of these effects

Time-Related Individual Differences.

Post-modernism has brought about changing demands with respect to time in work organisations. Whilst the impact of this has been given some attention at both the organisational and individual level far less has been given to a consideration of the extent to which individual differences might moderate the impact of such changes. In order to proceed with this line of enquiry it is necessary first to be able to measure individual differences related to time. This paper, through an analysis and synthesis of existing measures of individual attitudes/approaches to time, a subsequent qualitative study, and large quantitative survey study (N=683) identifies a five factor structure for time-related individual differences (Time Personality) and reports on the development of five complementary measurement scales : Leisure Time Awareness, Punctuality, Planning, Polychronicity and Impatience. A series of reliability and validity studies indicate that the scales are psychometrically sound. The findings are discussed in the context of the role Time Personality might play in moderating the effects that differing organisational structures and changing work demands might have in organisational settings

Individual differences in causal learning and decision making

This is an accepted author manuscript of an article subsequently published by Elsevier. The final published version can be found here: http://dx.doi.org/10.1016/j.actpsy.2005.04.003In judgment and decision making tasks, people tend to neglect the overall frequency of base-rates when they estimate the probability of an event; this is known as the base-rate fallacy. In causal learning, despite people s accuracy at judging causal strength according to one or other normative model (i.e., Power PC, DP), they tend to misperceive base-rate information (e.g., the cause density effect). The present study investigates the relationship between causal learning and decision making by asking whether people weight base-rate information in the same way when estimating causal strength and when making judgments or inferences about the likelihood of an event. The results suggest that people differ according to the weight they place on base-rate information, but the way individuals do this is consistent across causal and decision making tasks. We interpret the results as reflecting a tendency to differentially weight base-rate information which generalizes to a variety of tasks. Additionally, this study provides evidence that causal learning and decision making share some component processes