NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
No Child Left Behind Act 20011
What Works Clearinghouse Rating
Showing 1 to 15 of 172 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Myoung-jae Lee; Goeun Lee; Jin-young Choi – Sociological Methods & Research, 2025
A linear model is often used to find the effect of a binary treatment D on a noncontinuous outcome Y with covariates X. Particularly, a binary Y gives the popular "linear probability model (LPM)," but the linear model is untenable if X contains a continuous regressor. This raises the question: what kind of treatment effect does the…
Descriptors: Probability, Least Squares Statistics, Regression (Statistics), Causal Models
Peer reviewed Peer reviewed
Direct linkDirect link
Anthony, Bokolo, Jr.; Kamaludin, Adzhar; Romli, Awanis – Technology, Knowledge and Learning, 2023
Blended Learning (BL) has been implemented by lecturers in higher educations for promoting effective pedagogical practices. However, intention to use and actual usage of BL by lecturers in higher education seems to be a major setback for successful BL implementation. Therefore, this study developed a model to examine the factors that influences…
Descriptors: Higher Education, Intention, Predictor Variables, Blended Learning
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Krenzke, Tom; Mohadjer, Leyla; Li, Jianzhu; Erciulescu, Andreea; Fay, Robert; Ren, Weijia; Van de Kerckhove, Wendy; Li, Lin; Rao, J. N. K. – National Center for Education Statistics, 2020
The Program for the International Assessment of Adult Competencies (PIAAC) is a multicycle survey of adult skills and competencies sponsored by the Organization for Economic Cooperation and Development (OECD). The survey examines a range of basic skills in the information age and assesses these adult skills consistently across participating…
Descriptors: Adults, Surveys, Statistical Analysis, Computation
Shah, Amanda A. – ProQuest LLC, 2022
Higher education institutions face heightened accountability for student success. As such, higher education relies heavily on big data to predict student outcomes. This process is problematic because predictive models are developed on historical data, are deficit based, and are focused on student factors, neglecting institutional factors. The…
Descriptors: Higher Education, Academic Achievement, Accountability, Outcomes of Education
Peer reviewed Peer reviewed
Direct linkDirect link
Dou, Remy; Cian, Heidi – Journal of Research in Science Teaching, 2022
Identity development frameworks provide insight into why and to what extent individuals engage in STEM-related activities. While studies of "STEM identity" often build off previously validated disciplinary and/or science identity frameworks, quantitative analyses of constructs that specifically measure STEM identity and its antecedents…
Descriptors: STEM Education, Self Concept, Sex, Ethnicity
Peer reviewed Peer reviewed
Direct linkDirect link
da Cunha Moreira, Thaline; Ambiel, Rodolfo A. M. – International Journal for Educational and Vocational Guidance, 2018
This study aimed to test a theoretical model of self-efficacy applied to the context of professional choice, verifying the sources of self-efficacy as predictors of self-efficacy beliefs and self-efficacy beliefs as antecedents of vocational exploratory behavior. A total of 388 high school students from public and private schools in the state of…
Descriptors: Foreign Countries, Self Efficacy, Career Choice, Predictor Variables
Peer reviewed Peer reviewed
Direct linkDirect link
Mahar, Matthew T.; Welk, Gregory J.; Rowe, David A. – Measurement in Physical Education and Exercise Science, 2018
Purpose: To develop models to estimate aerobic fitness (VO[subscript 2]max) from PACER performance in 10- to 18-year-old youth, with and without body mass index (BMI) as a predictor. Method: Youth (N = 280) completed the PACER and a maximal treadmill test to assess VO[subscript 2]max. Validation and cross-validation groups were randomly formed to…
Descriptors: Exercise, Physical Fitness, Preadolescents, Adolescents
Peer reviewed Peer reviewed
Direct linkDirect link
Auerbach, Charles; Zeitlin, Wendy; Augsberger, Astraea; McGowan, Brenda G.; Claiborne, Nancy; Lawrence, Catherine K. – Research on Social Work Practice, 2015
Objective: This research examines the psychometric properties of the Perceptions of Child Welfare Scale (PCWS). This instrument is designed to assess child welfare workers' understanding of how society views their role and their work. Methods: Confirmatory factor analysis (CFA) was utilized to analyze data on 538 child welfare workers. Results:…
Descriptors: Child Welfare, Psychometrics, Measures (Individuals), Social Work
Peer reviewed Peer reviewed
Direct linkDirect link
Volchok, Edward – Community College Journal of Research and Practice, 2018
This retrospective study evaluates early semester predictors of whether or not community college students will successfully complete blended or hybrid courses. These predictors are available to faculty by the fourth week of the semester. Success is defined as receiving a grade of C- or higher. Failure is defined as a grade below a C- or a…
Descriptors: Community Colleges, Success, Blended Learning, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Tucker, Leslie; McKnight, Oscar – Journal of College Student Retention: Research, Theory & Practice, 2019
This study assessed the feasibility of using precollege success indicators to identify at-risk students at a large 4-year public research university in the Midwest. Retention data from students who participated in an established student success program were examined. The findings affirm that the initial admissions assessment identifying at-risk…
Descriptors: Validity, Academic Achievement, College Students, At Risk Students
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Hinchliffe, Lisa Janicke; Rand, Allison; Collier, Jillian – Communications in Information Literacy, 2018
The process of learning includes not only success in developing knowledge, skills, and abilities but also mistakes and errors that impede such success. In any domain of learning, instructors will have developed a sense of the typical errors learners make; however, there has been no systematic investigation and documentation of predictable…
Descriptors: Information Literacy, College Freshmen, Focus Groups, Misconceptions
Deng, Sien – ProQuest LLC, 2017
Psychologists have become increasingly interested in the intra-individual variability of psychological measures as a meaningful distinguishing characteristic of persons. Assessments of intra-individual variability are frequently based on the repeated administration of self-report rating scale instruments, and extreme response style (ERS) has the…
Descriptors: Response Style (Tests), Psychological Testing, Differences, Rating Scales
Peer reviewed Peer reviewed
Direct linkDirect link
Welsch, David M.; Zimmer, David M. – Education Finance and Policy, 2015
This paper draws attention to a subtle, but concerning, empirical challenge common in panel data models that seek to estimate the relationship between student transfers and district academic performance. Specifically, if such models have a dynamic element, and if the estimator controls for unobserved traits by including district-level effects,…
Descriptors: Transfer Students, Academic Achievement, Feedback (Response), School Districts
Sides, Meredith Louise Carr – ProQuest LLC, 2017
The study adapted Astin's I-E-O model and utilized multiple regression analyses to predict faculty attitudes toward developmental education. The study utilized a cross-sectional survey design to survey faculty members at 27 different higher education institutions in the state of Alabama. The survey instrument was a self-designed questionnaire that…
Descriptors: Teacher Attitudes, Teacher Characteristics, Multiple Regression Analysis, Case Studies
Peer reviewed Peer reviewed
Direct linkDirect link
Zwolak, Justyna P.; Zwolak, Michael; Brewe, Eric – Physical Review Physics Education Research, 2018
The lack of an engaging pedagogy and the highly competitive atmosphere in introductory science courses tend to discourage students from pursuing science, technology, engineering, and mathematics (STEM) majors. Once in a STEM field, academic and social integration has been long thought to be important for students' persistence. Yet, it is rarely…
Descriptors: Social Networks, STEM Education, Academic Persistence, Peer Relationship
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  12