Personality Traits and Further Training.

Front Psychol

Research Data Centre, Institute for Employment Research (IAB), Nuremberg, Germany.

Published: November 2020

The notion of lifelong learning is gaining importance, not only in the labor market but also in other areas of modern societies. Previous research finds variation in occupation-related training participation by worker and workplace characteristics, gender, and education. However, evidence on the individual's socio-emotional skills creating favorable conditions for overall further training is scarce. To close this research gap, we analyze the role of personality for further training participation. First, we compare how the Big Five Personality Dimensions relate to different training types by differentiating between non-formal and informal training measures. Second, we investigate how personality traits affect further training chosen for occupational private reasons separately. Drawing on a sample of 10,559 individuals from the Adult Stage of the German National Educational Panel Study (NEPS), we find that throughout our estimations, openness to experience positively relates to further training participation and is the most important determinant among the Big Five Personality Dimensions. However, the relationship between personality traits and training participation varies according to the training type and the reason for participating in further training. Moreover, we find gender-specific differences in the association between personality traits and lifelong learning. We conclude that personality is an important predictor of lifelong learning decisions.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701053PMC
http://dx.doi.org/10.3389/fpsyg.2020.510537DOI Listing

Publication Analysis

Top Keywords

personality traits
16
training participation
16
lifelong learning
12
training
11
personality
8
traits training
8
big personality
8
personality dimensions
8
training notion
4
notion lifelong
4

Similar Publications

Identification and characterization of ClAPRR2, a key candidate gene controlling watermelon stripe color.

Plant Sci

January 2025

Key Laboratory of Biology and Genetic Improvement of Horticulture Crops (Northeast Region), Ministry of Agriculture and Rural Affairs, College of Horticulture and Landscape Architecture, Northeast Agricultural University, Harbin 150030, China; College of Horticulture and Landscape Architecture, Northeast Agricultural University, Harbin 150030, China. Electronic address:

The stripe color of watermelon is a vital commercial trait and is the focus of attention of consumers and researchers. However, the genetic determinants of watermelon stripe color are incompletely understood. Based on the results of preliminary localization studies, we constructed a large-capacity F generation population (710 plants) using light-green striped ZXG1555 and green-striped Cream of Saskatchewan (COS) watermelon strains as parental lines for fine mapping.

View Article and Find Full Text PDF

Introduction: Observational studies have found that higher iron levels are associated with an increased risk of diabetes mellitus. Given the limitations of causal inferences from observational studies and the expensive and time-consuming nature of randomized controlled trials, Mendelian randomization analysis presents a reasonable alternative to study causal relationships. Previous MR analyses studying iron levels and diabetes have used indirect markers of iron levels, such as serum ferritin, and found conflicting results.

View Article and Find Full Text PDF

This study aims to address the fragmented understanding of the antecedents of social media addiction (SMA) by examining key factors and their roles as necessary and sufficient conditions. By integrating key variables from previous research, including the Dark Triad traits, self-regulation, social anxiety, and Fear of Missing Out (FoMO), the study investigates their relationships with SMA. Data were collected through 369 questionnaires and analyzed using regression analysis and Necessary Condition Analysis (NCA).

View Article and Find Full Text PDF

Agricultural management significantly affects insects, especially pollinators, which are crucial for crop pollination and biodiversity. In agricultural landscapes, various factors spanning different spatial scales are known to affect pollinator health, which, in turn, can influence pollination services. However, the importance of these factors in driving the health and performance of different pollinator groups remains unclear.

View Article and Find Full Text PDF

Uncovering the multi-fencing effects: Changes in plant diversity across dimensions and spatio, and the relationship between diversity and stability.

J Environ Manage

January 2025

Lhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. Electronic address:

Plant diversity is fundamental to maintaining grassland ecosystem function. Rangeland managers use fencing as a strategy to enhance plant diversity in degraded grasslands. However, the effects of this natural management approach on grasslands across a wide range of environmental gradients and its spatial pattern remain unclear.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!