' big five personality traits' Search Results
Motivation, Temperament, Personality and Well-Being as Predicting Propensity Factors for Mathematical Abilities of Adults
mathematics motivation temperament personality well-being...
The role of motivation, temperament, personality and well-being as predicting propensity factors for mathematical abilities was investigated in 30 adults. By embedding these predictors in the Opportunity-Propensity framework, this study aimed to reveal their unique contribution in math development, which is important to improve mathematics education. To our knowledge, the present study is the first to combine predictors and find evidence for the importance of some non-cognitive and socio-emotional propensity factors for mathematical performance by using primary data. Results indicated significant interrelations between the propensities, pleading to integrate them in math research. Furthermore, the relationship propensities and mathematics was dependent on the specific investigated math task, which is in line with the componential nature of mathematics. Negative Affect was the best prediction of accuracy (lower levels of subjective well-being associated with lower levels of mathematical accuracy) whereas Intrinsic Motivation was the best predictor for fact retrieval speed. Limitations and implications for future research are described.
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Investigating High School Students' Personality Traits and Academic Procrastination with Cluster Analysis
academic procrastination big five personality traits cluster analysis...
In this study, a cluster analysis was performed by creating a data set from students' personality traits and academic procrastination behaviours. Correlation analysis was done to examine the relationship between the variables, and the characteristics of the formed clusters and the association of the clusters with the perceived socioeconomic status were examined. Cluster analysis is a simple and practical method for classifying a set of complex data based on certain variables and making them more meaningful and using the results as an aid to decision-making. Clustering algorithms handle such data effectively, making it more meaningful. Following the analysis, it was revealed that two clusters had formed. The first of the clusters includes 65.2 % of the sample population; the level of procrastination and the mean score of neurotic personality traits were calculated higher than the other cluster. The remaining part of the sample population (34.8 %) constitutes the second cluster. The mean scores of studying systematically habits and extroversion, agreeableness, conscientiousness, and openness to experience personality traits of the students forming this cluster are higher than the other cluster. No association was observed between the clusters and the perceived socioeconomic levels of the students. The distributions of socioeconomic levels within the clusters are similar to each other. When the correlations of these variables are examined; positive relationships were found between the level of procrastination and neurotic personality traits. Procrastination behaviour and neurotic personality traits were also negatively correlated with other variables.
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The Impact of Adults' Used Skills on Their Self-Evaluated Skills and Social Lives Over Time
adults frequently used skills literacy numeracy piaac-l social lives...
Previous research focused on individuals’ background, contexts and cognitive performance in education, work, and life. Given the increasing number of people living alone temporarily, the question arises whether the frequent use of skills, including social skills, relates to individuals’ later positively self-evaluated skills and social lives. Based on an integrated framework, the current analysis aimed to disentangle these relationships with longitudinal data from Germany over three years. The target sample consisted of n = 3263 working adults. A Bayesian structural equation model included adults’ frequent use of skills, self-evaluated skills, household size, close friends, and seven covariates (e.g., numeracy and literacy test scores, weekly working hours. The results suggested positive relationships between adults’ frequent use of numeracy, literacy, and social skills and later self-evaluations (except literacy used on self-evaluated numeracy). Those who less frequently used social skills three years earlier were also less likely to have a larger household size than those who reporting frequently using their social skills. Adults who frequently used literacy skills three years earlier reported higher numbers of close friends than those who less frequently used literacy. The findings highlight the importance of adults’ social skills and frequently used skills for self-evaluated numeracy and literacy.
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