Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 2 |
Descriptor
Author
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
| Elementary Education | 1 |
| Grade 6 | 1 |
| High Schools | 1 |
| Intermediate Grades | 1 |
| Middle Schools | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Wüstenberg, Sascha; Greiff, Samuel; Vainikainen, Mari-Pauliina; Murphy, Kevin – Journal of Educational Psychology, 2016
Changes in the demands posed by increasingly complex workplaces in the 21st century have raised the importance of nonroutine skills such as complex problem solving (CPS). However, little is known about the antecedents and outcomes of CPS, especially with regard to malleable external factors such as classroom climate. To investigate the relations…
Descriptors: Individual Differences, Problem Solving, Difficulty Level, Foreign Countries
Roesch, Scott C.; Aldridge, Arianna A.; Stocking, Stephanie N.; Villodas, Feion; Leung, Queenie; Bartley, Carrie E.; Black, Lisa J. – Multivariate Behavioral Research, 2010
This study used multilevel modeling of daily diary data to model within-person (state) and between-person (trait) components of coping variables. This application included the introduction of multilevel factor analysis (MFA) and a comparison of the predictive ability of these trait/state factors. Daily diary data were collected on a large (n =…
Descriptors: Structural Equation Models, Coping, Factor Analysis, Correlation
Martin, Andrew J. – British Journal of Educational Psychology, 2006
Background: This study seeks to identify the cornerstones of personal bests (PBs) in the educational setting. Aims: The study proposes a multidimensional PB model in which students are most likely to attain PBs on tasks/goals that are (1) specific, (2) challenging, (3) competitively self-referenced, and (4) self-improvement based. Sample: The…
Descriptors: Persistence, Data Analysis, Multidimensional Scaling, Factor Analysis

Peer reviewed
Direct link
