The relationship between personality, approach to learning and academic performance

This study considers the relationship between students' approaches to learning, as measured by a short-form of Entwistle and Tait's (1995) Revised Approaches to Studying Inventory (RASI), the Big Five personality factors, as measured by Cattell's 16PFi, and the background variables of age, gender and prior educational achievement and academic performance. Subjects were 146 social science undergraduate students at a university in Scotland. Structural equation modelling identifies the Big Five personality factor scores account for between 22.7% and 43.6% of the variance across scores on the three approach to learning dimensions. Four of the Big Five personality factors and the three approach to learning dimensions were found to be poor predictors of academic performance. A linear regression analysis with academic performance as the dependent variable and age, prior educational attainment and conscientiousness as independent variables, accounted for 24.1% of the variance in performance. Our investigation suggests approach to learning is a subset of personality. However, we conclude it makes sense to measure these two groups of variables separately in educational settings.     

Cognitive ability, personality, and academic performance in adolescence

Does positive thinking predict variance in school grades over and above that predicted by cognitive ability? Six hundred and thirty nine high school students participated in a three-year longitudinal study that predicted grades using cognitive ability and three positive thinking variables – self-esteem, hope, and attributional style. Hope, positive attributional style and cognitive ability predicted higher grades, whilst self-esteem was a less consistent predictor of academic performance. Structural equation modelling revealed significant paths from cognitive ability, gender, and a second order positive thinking factor to grades. The results suggest that intelligence, gender, and positive thinking each play a unique role in predicting academic performance in youth. Some suggestions for further research are made.     

On the prediction of academic performance with personality traits: A replication study

We describe a large sample study (N = 652) that had two purposes. The first was to replicate a previous study (Paunonen & Ashton, 2001a, Journal of Research in Personality) in which we showed that lower-level personality trait measures related to achievement motivation predict the academic success of university students. The second purpose was to test our earlier conclusion that such lower-level traits are frequently superior to broader personality factors for accuracy in prediction. Both purposes were met in this study, providing more evidence for our general claim that aggregating narrow personality trait measures into broad factor measures can sometimes have negative consequences regarding the prediction and understanding of important outcomes, including academic performance.     

Aptitude is not enough: How personality and behavior predict academic performance

The study investigated the incremental validity of Big Five personality traits for predicting academic criteria (college GPA, course performance) while controlling for academic ability (SAT). Results showed that conscientiousness incrementally predicted each criterion over SAT. Results also showed that behavior (attendance) incrementally predicted GPA and course performance and it mediated the relationship between conscientiousness and both academic criteria. Personality measures are promising predictors of academic outcomes and they may have usefulness in admissions and student development.     

The influence of personality on HE students’ confidence in their academic abilities

Students’ confidence in their academic abilities, measured with the Individual Learning Profile (ILP) scale, was examined in relation to their personality traits and grades. To validate the ILP, in Study 1, factor analysis of data from 3003 students extracted six factors (Reading and Writing, Hard IT, Numeracy, Time Management, Speaking, and Easy IT) with good internal reliability. Subsequently, in Study 2, 130 students completed the refined ILP, and scales measuring the Big Five, Perfectionism, Anxiety, and Self-Esteem. Between 10% and 31% of the variance in four ILP factors, but not IT skills, could be predicted by personality traits, but Self-Esteem and Anxiety were not influential. Higher conscientiousness and openness positively predicted higher confidence in reading and writing, while agreeableness and three aspects of perfectionism predicted confidence in numeracy skills. Being introverted and female were predictive of lower confidence in speaking, as were low conscientiousness and the perfectionistic desire to be organised. Conscientiousness, Extraversion, and the perfectionistic desire to be organised were strong predictors of confidence in time-management skills, which in turn predicted first-year GPA. The reliability of the ILP was examined over the course of a one-year interval.     

A regression tree of the aptitudes,personality, and academic performance relationship

This study suggests regression trees as a complementary tool to regression and SEM to respond to questions related with the influence of intelligence, personality, and their interplay on academic performance. Data from 818 secondary education students (402 girls and 416 boys) in aptitudes, personality, and academic performance in four learning areas: language (Catalan and Spanish) and science (Natural and Mathematics) were modelled with this technique. Two hypotheses articulated the presentation of this methodology. Aptitudes were much more relevant than personality to explain variance in academic performance. Verbal aptitude was particularly more relevant for girls than for boys.     

Properties of the diffuse thalamocortical system and human personality: A direct test of Pavlovian/Eysenckian theory

Advances in the last few decades demonstrate the relevance of Pavlov's classification of behavioural types with respect to human individual differences and suggest that the hypothetical excitatory and inhibitory processes which he associated with these differences correspond to cortical and thalamic neuron populations of the diffuse thalamocortical system (DTS). Since the transmission properties or time constants of these DTS elements would correspond to the Pavlovian property of ‘strength’, and since they can be evaluated in human subjects (Robinson, 1981), it is possible to formulate hypotheses based on the fundamental principles of strength and balance which Pavlov employed to provide a causal explanation for temperamental types. A major finding is that covariation of the time constants equated with strength correlates 0.95 with covariation of extraversion and stability scores on the Eysenck Personality Questionnaire (EPQ). This result provides unequivocal support for the relationship between human individual differences and properties of the nervous system postulated by Pavlov and it also confirms the neurophysiological underpinning of Eysenck's influential theory of human personality. In addition, the relationship between Pavlovian and Eysenckian concepts is clarified and EEG parameters are meaningfully related to personality differences.     

Smoking and academic performance

Smokers and nonsmokers were compared on three aspects of academic achievement. Although exactly the same percentage of smokers and nonsmokers passed the first-year university examination, smokers obtained significantly higher marks. Similarly, smokers achieved significantly higher marks in their final year examinations in comparison with nonsmokers. Finally, a comparison of the tutorial essay marks of the smokers and nonsmokers again showed that smokers obtained significantly higher marks than nonsmokers. These data are consistent with the idea that ambitious students adopt smoking in the belief that it will help them study and sustain concentration.     

The Big Five personality traits, learning styles, and academic achievement

Personality and learning styles are both likely to play significant roles in influencing academic achievement. College students (308 undergraduates) completed the Five Factor Inventory and the Inventory of Learning Processes and reported their grade point average. Two of the Big Five traits, conscientiousness and agreeableness, were positively related with all four learning styles (synthesis analysis, methodical study, fact retention, and elaborative processing), whereas neuroticism was negatively related with all four learning styles. In addition, extraversion and openness were positively related with elaborative processing. The Big Five together explained 14% of the variance in grade point average (GPA), and learning styles explained an additional 3%, suggesting that both personality traits and learning styles contribute to academic performance. Further, the relationship between openness and GPA was mediated by reflective learning styles (synthesis-analysis and elaborative processing). These latter results suggest that being intellectually curious fully enhances academic performance when students combine this scholarly interest with thoughtful information processing. Implications of these results are discussed in the context of teaching techniques and curriculum design.     

Prefrontal cognitive ability, intelligence, Big Five personality, and the prediction of advanced academic and workplace performance

Studies 1 and 2 assessed performance on a battery of dorsolateral prefrontal cognitive ability (D-PFCA) tests, personality, psychometric intelligence, and academic performance (AP) in 2 undergraduate samples. In Studies 1 and 2, AP was correlated with D-PFCA (r=.37, p<.01, and r=.33, p<.01, respectively), IQ (r=.24, p<.05, and r=.38, p<.01, respectively), and Conscientiousness (r=.26, p<.05, and r=.37, p<.01, respectively). D-PFCA remained significant in regression analyses controlling for intelligence (or g) and personality. Studies 3 and 4 assessed D-PFCA, personality, and workplace performance among (a) managerial-administrative workers and (b) factory floor workers at a manufacturing company. Prefrontal cognitive ability correlated with supervisor ratings of manager performance at values of r ranging from .42 to .57 (ps<.001), depending on experience, and with factory floor performance at pr=.21 (p=.02), after controlling for experience, age, and education. Conscientiousness correlated with factory floor performance at r=.23.     

The heterogeneous structure of schizotypal personality disorder: item-level factors of the Schizotypal Personality Questionnaire and their associations with obsessive-compulsive disorder symptoms, dissociative tendencies, and normal personality

A. Raine et al.'s (1994) 3-factor scheme is currently the most widely accepted model of schizotypal personality disorder (SPD). Factor analytic studies of the Schizotypal Personality Questionnaire (SPQ; A. Raine, 1991) subscales, which represent the 9 Diagnostic and Statistical Manual of Mental Disorders (DSM) criteria for SPD, have provided the model's primary support. The use of only 9 modeled variables, however, limits the number of factors that can be extracted. To explicate this structure more fully, the authors conducted item-level factor analyses of the SPQ in a large student sample that completed the instrument twice within a 2-week interval. The authors' analyses failed to support either the 3-factor model of SPD or the 9 existing DSM-based subscales of the SPQ. Instead, 5 replicable dimensions emerged that capture recurrent symptom pairings found in the broader SPD literature: Social Anhedonia, Unusual Beliefs and Experiences, Social Anxiety, Mistrust, and Eccentricity/Oddity. These factors are only weakly correlated with each other and show differential correlational patterns with the Big Five personality traits, dissociative tendencies, and symptoms of obsessive-compulsive disorder. Moreover, they are congruent with dimensional models of personality psychopathology. Implications for SPD in DSM-V are discussed.     

The relationship between procrastination and academic performance: A meta-analysis

Previous findings on the relationship between procrastination and academic performance are inconsistent. We conducted a meta-analysis of 33 relevant studies involving a total of 38,529 participants to synthesize these findings. This analysis revealed that procrastination was negatively correlated with academic performance; this relationship was influenced by the choice of measures or indicators. The use of self-report scales interfered with detection of a significant relationship between procrastination and academic performance. The demographic characteristics of participants in individual studies also affected the observed relationship. Implications of this meta-analysis are discussed.     

The relationship between self-concept and selected academic and personal factors

One-hundred sixty-five high school students were the subjects in a study to determine if selected personal and academic variables were predictive of self-concept scores. The full model was moderately predictive of self-esteem, accounting for approximately 46% of the variance of the criterion variable. Also, it was found that, as a subset of variables, both academic and personal variables made a significant, unique contribution to the prediction of self-concept scores. Of the eleven independent variables used in this study, it was noted that grade point average, extracurricular activities, health, and home life individually made a unique contribution to the prediction of self-concept scores. These four variables also were found to be significantly correlated with self-concept. Other independent variables found to be significantly correlated with self-concept were: parents married and parents divorced. However, these variables were not considered as making a unique contribution to the prediction of self-concept.     

Typical intellectual engagement,Big Five personality traits,approaches to learning and cognitive ability predictors of academic performance

Background Both ability (measured by power tests) and non‐ability (measured by preference tests) individual difference measures predict academic school outcomes. These include fluid as well as crystalized intelligence, personality traits, and learning styles. This paper examines the incremental validity of five psychometric tests and the sex and age of pupils to predict their General Certificate in Secondary Education (GCSE) test results. Aims The aim was to determine how much variance ability and non‐ability tests can account for in predicting specific GCSE exam scores. Sample The sample comprised 212 British schoolchildren. Of these, 123 were females. Their mean age was 15.8 years (SD 0.98 years). Method Pupils completed three self‐report tests: the Neuroticism–Extroversion–Openness‐Five‐Factor Inventory (NEO‐FFI) which measures the ‘Big Five’ personality traits, ( Costa & McCrae, 1992 ); the Typical Intellectual Engagement Scale ( Goff & Ackerman, 1992 ) and a measure of learning style, the Study Process Questionnaire (SPQ; Biggs, 1987 ). They also completed two ability tests: the Wonderlic Personnel Test ( Wonderlic, 1992 ) a short measure of general intelligence and the General Knowledge Test ( Irving, Cammock, & Lynn, 2001 ) a measure of crystallized intelligence. Six months later they took their (10th grade) GCSE exams comprising four ‘core’ compulsory exams as well as a number of specific elective subjects. Results Correlational analysis suggested that intelligence was the best predictors of school results. Preference test measures accounted for relatively little variance. Regressions indicated that over 50% of the variance in school exams for English (Literature and Language) and Maths and Science combined could be accounted for by these individual difference factors. Conclusions Data from less than an hour's worth of testing pupils could predict school exam results 6 months later. These tests could, therefore, be used to reliably inform important decisions about how pupils are taught.