Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 2 |
| Since 2006 (last 20 years) | 6 |
Descriptor
| Foreign Countries | 6 |
| Multivariate Analysis | 6 |
| Prediction | 6 |
| College Students | 2 |
| Correlation | 2 |
| Gender Differences | 2 |
| Negative Attitudes | 2 |
| Positive Attitudes | 2 |
| Profiles | 2 |
| Secondary School Students | 2 |
| Statistical Analysis | 2 |
| More ▼ | |
Source
| Education Economics | 1 |
| Educational Gerontology | 1 |
| Journal for the Education of… | 1 |
| Psychology in the Schools | 1 |
| Structural Equation Modeling:… | 1 |
| Studies in Higher Education | 1 |
Author
Publication Type
| Journal Articles | 6 |
| Reports - Research | 5 |
| Reports - Evaluative | 1 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
| Secondary Education | 2 |
| Grade 5 | 1 |
| Grade 6 | 1 |
| Grade 7 | 1 |
| Middle Schools | 1 |
Audience
Location
| Germany | 6 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkHerber, Stefanie P.; Kalinowski, Michael – Education Economics, 2019
We estimate the percentage of eligible students who do not take up their federal need-based student financial aid entitlements in a microsimulation model for the German Socio-Economic Panel Study 2002--2013. We find that about 40% of the eligible low-income students do not take up their entitlements. Non-take-up is inversely and rather…
Descriptors: Foreign Countries, Student Financial Aid, Low Income, Eligibility
Stoeger, Heidrun; Greindl, Teresa; Kuhlmann, Johanna; Balestrini, Daniel Patrick – Journal for the Education of the Gifted, 2017
Magnet schools focused on science, technology, engineering, and mathematics (STEM) as well as extracurricular programs in STEM support talented students and help increase their participation rates in those domains. We examined whether and the extent to which the learning and educational capital of male and female students (N = 801) enrolled in…
Descriptors: STEM Education, High Achievement, Secondary School Students, Foreign Countries
Patrzek, Justine; Sattler, Sebastian; van Veen, Floris; Grunschel, Carola; Fries, Stefan – Studies in Higher Education, 2015
In prior studies, academic procrastination has been discussed as an influencing factor of academic misconduct. However, empirical studies were conducted solely cross-sectionally and investigated only a few forms of academic misconduct. This large scale web-based study examined the responses of between 1359 and 2207 participants from different…
Descriptors: Time Management, Cheating, Foreign Countries, Correlation
Randler, Christoph; Vollmer, Christian; Wilhelm, David; Flessner, Melanie; Hummel, Eberhard – Educational Gerontology, 2014
Many societies are encountering significant changes in their population structure as the number of older people is increasing while children and adolescents become fewer. This study examines pupils' attitudes towards elderly people in Germany. A total of 935 pupils (458 boys, 477 girls) participated in this study. Grade distribution was as…
Descriptors: Foreign Countries, Older Adults, Adolescent Attitudes, Positive Attitudes
Andretta, James R.; Worrell, Frank C.; Mello, Zena R. – Psychology in the Schools, 2014
Using cluster analysis of Adolescent Time Attitude Scale (ATAS) scores in a sample of 300 adolescents ("M" age = 16 years; "SD" = 1.25; 60% male; 41% European American; 25.3% Asian American; 11% African American; 10.3% Latino), the authors identified five time attitude profiles based on positive and negative attitudes toward…
Descriptors: Prediction, Multivariate Analysis, Adolescents, Attitude Measures
Marsh, Herbert W.; Ludtke, Oliver; Trautwein, Ulrich; Morin, Alexandre J. S. – Structural Equation Modeling: A Multidisciplinary Journal, 2009
In this investigation, we used a classic latent profile analysis (LPA), a person-centered approach, to identify groups of students who had similar profiles for multiple dimensions of academic self-concept (ASC) and related these LPA groups to a diverse set of correlates. Consistent with a priori predictions, we identified 5 LPA groups representing…
Descriptors: Structural Equation Models, Goodness of Fit, Profiles, Prediction
