Conscientiousness is the most important personality predictor of academic achievement. It consists of several lower order facets with differential relations to academic achievement. There is currently no short instrument assessing facets of conscientiousness in the educational context. Therefore, in the present multi-study report, we develop and validate a short-form questionnaire for the assessment of seven Conscientiousness facets, namely Industriousness, Perfectionism, Tidiness, Procrastination Refrainment, Control, Caution, and Task Planning. To this end, we examined multiple representative samples totaling  = 14,604 Grade 9 and 10 students from Luxembourg. The questionnaire was developed by adapting and shortening an existing scale using an exhaustive search algorithm. The algorithm was specified to select the best item combination based on model fit, reliability, and measurement invariance across the German and French language versions. The resulting instrument showed the expected factorial structure. The relations of the facets with personality constructs and academic achievement were in line with theoretical assumptions. Reliability was acceptable for all facets. Measurement invariance across language versions, gender, immigration status and cohort was established. We conclude that the presented questionnaire provides a short measurement of seven facets of Conscientiousness with valid and reliable scores.

Download full-text PDF

Source
http://dx.doi.org/10.1080/00223891.2021.1998083DOI Listing

Publication Analysis

Top Keywords

facets conscientiousness
12
academic achievement
12
short-form questionnaire
8
questionnaire assessment
8
measurement invariance
8
language versions
8
facets
7
conscientiousness
5
developing validating
4
validating short-form
4

Similar Publications

The role of childhood activity level in personality development is still poorly understood. Using data from a prospective study following 939 children from age 1.5 to 16.

View Article and Find Full Text PDF

Creative self-concept, intimately intertwined with the personality traits and plays a pivotal role in shaping individuals' behavioral tendencies. Personality traits are largely responsible to influence how people perceive and navigate their creative abilities and self-expression. Moreover, attitudes towards emotions are another key facet of one's psychological landscape, impacting their inclination to perceive, process, and manage emotional experiences.

View Article and Find Full Text PDF

The Big Five Inventory - 2 (BFI-2) is a commonly used self-report assessment of normal personality trait domains (Extraversion, Agreeableness, Conscientiousness, Negative Emotionality, Open-Mindedness) and facets. To date, however, no direct measures of response distortion have been developed for it to identify potentially invalid responses. Such distortions (e.

View Article and Find Full Text PDF

Background: Major depressive disorder (MDD) is a prevalent psychiatric disorder characterized by substantial clinical and neurobiological heterogeneity. Conventional studies that solely focus on clinical symptoms or neuroimaging metrics often fail to capture the intricate relationship between these modalities, limiting their ability to disentangle the complexity in MDD. Moreover, patient neuroimaging data typically contains normal sources of variance shared with healthy controls, which can obscure disorder-specific variance and complicate the delineation of disease heterogeneity.

View Article and Find Full Text PDF

Background: This study investigates the relationship between DNA methylation (DNAm) and the personality traits outlined in the NEO-PI-R model through an epigenetic study of monozygotic twins. DNAm, a critical epigenetic mechanism, regulates gene expression and has been linked to various biological processes and disorders. By leveraging the genetic similarities of monozygotic twins, this research explores how epigenetic variations influenced by environmental factors correlate with personality differences.

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!