NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 31 to 45 of 935 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Duprey, Michael A.; Pratt, Daniel J.; Wilson, David H.; Jewell, Donna M.; Brown, Derick S.; Caves, Lesa R.; Kinney, Satkartar K.; Mattox, Tiffany L.; Ritchie, Nichole Smith; Rogers, James E.; Spagnardi, Colleen M.; Wescott, Jamie D. – National Center for Education Statistics, 2020
The nine appendices in this publication accompany the full report, "High School Longitudinal Study of 2009 (HSLS:09) Postsecondary Education Transcript Study and Student Financial Aid Records Collection. Data File Documentation. NCES 2020-004" (ED607366). They include: (1) Glossary of Terms; (2) Student Financial Aid Records Instrument…
Descriptors: Longitudinal Studies, High School Students, Data Collection, Academic Records
Peer reviewed Peer reviewed
Direct linkDirect link
Coertjens, Liesje – British Journal of Educational Psychology, 2018
Aim: The main aim of this commentary was to connect the insights from the contributions of the special issue on the intersection between depth and the regulation of strategy use. The seven contributions in this special issue stem from three perspectives: self-regulated learning (SRL), model of domain learning (MDL), or the student approaches to…
Descriptors: Cognitive Processes, Metacognition, Learning Strategies, Independent Study
Peer reviewed Peer reviewed
Direct linkDirect link
Ross, Karen; Call-Cummings, Meagan – International Journal of Social Research Methodology, 2019
In this article, we interrogate the concept of methodological 'failures' as they arise during fieldwork, in the process of collecting empirical data. We highlight how the techniques of validity horizon matrices and power analysis can be used as methodological tools to illustrate moments in the fieldwork process where these 'failures' occur and to…
Descriptors: Failure, Data Collection, Research Methodology, Validity
Peer reviewed Peer reviewed
Direct linkDirect link
Rivera, Jason D. – Journal of Public Affairs Education, 2019
Across all social science disciplines, but in particular public administration, there is a shared concern about the costs of using traditional random samples to generate data, and its impact on researchers' ability to engage in "quality" research. As a result of these costs, more academics, practitioners, and students are turning to…
Descriptors: Public Affairs Education, Public Administration, Social Science Research, Graduate Students
Peer reviewed Peer reviewed
Direct linkDirect link
Lee, Silvia Wen-Yu; Luan, Hui; Lee, Min-Hsien; Chang, Hsin-Yi; Liang, Jyh-Chong; Lee, Yuan-Hsuan; Lin, Tzung-Jin; Wu, An-Hsuan; Chiu, Ying-Ju; Tsai, Chin-Chung – Science Education, 2021
Promoting understanding of the epistemologies of science has long been the primary objective in science education, and can be viewed as a form of science learning outcome. Many studies have attempted to understand learners' conceptions of epistemology in science from various perspectives and methods; however, no recent reviews have focused on the…
Descriptors: Epistemology, Scientific Literacy, Science Education, Measurement
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Cominole, Melissa; Ritchie, Nichole Smith; Cooney, Jennifer – National Center for Education Statistics, 2021
This publication describes the methods and procedures used for the 2008/18 Baccalaureate and Beyond Longitudinal Study (B&B:08/18). The B&B graduates, who completed the requirements for a bachelor's degree during the 2007-08 academic year, were first surveyed as part of the 2008 National Postsecondary Student Aid Study (NPSAS:08), and then…
Descriptors: Bachelors Degrees, College Graduates, Longitudinal Studies, Data Collection
Larini, Michel; Barthes, Angela – John Wiley & Sons, Inc, 2018
This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of…
Descriptors: Statistical Analysis, Educational Research, Data Collection, Data Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Cruz Lopez, Cecilia; Ojeda Ramirez, Mario Miguel – Statistics Education Research Journal, 2021
Statistical education is a very important area of research because it builds knowledge and promotes innovation in the courses of this discipline. Based on the advances in this area, changes in the content and approaches of the courses at all educational levels have been promoted in several countries. In this study, we examine programs of…
Descriptors: Foreign Countries, College Students, Introductory Courses, Educational Innovation
Peer reviewed Peer reviewed
Direct linkDirect link
Oleson, Jacob J.; Brown, Grant D.; McCreery, Ryan – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Scientists in the speech, language, and hearing sciences rely on statistical analyses to help reveal complex relationships and patterns in the data collected from their research studies. However, data from studies in the fields of communication sciences and disorders rarely conform to the underlying assumptions of many traditional…
Descriptors: Speech Language Pathology, Data Collection, Interpersonal Communication, Communication Problems
Temkin, Deborah; Thompson, Joy A.; Gabriel, Alex; Fulks, Emily; Sun, Sarah; Rodriguez, Yosmary – Phi Delta Kappan, 2021
As states consider non-academic measures of school quality for their accountability plans under the Every Student Succeeds Act, few are choosing to focus on the school climate in which students learn. That's not a surprise, given concerns about the validity and usefulness of existing climate surveys. However, the authors argue, a recent study…
Descriptors: Educational Environment, Data Collection, Evaluation Methods, Elementary Secondary Education
Peer reviewed Peer reviewed
Direct linkDirect link
Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Middle School Mathematics, Middle School Students, Middle Schools
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Jennifer Wine; Beth Hustedt; Jennifer Cooney; Erin Thomsen – National Center for Education Statistics, 2023
This report describes the design, methods, and results of the 2016/20 Baccalaureate and Beyond Longitudinal Study (B&B:16/20) conducted by the U.S. Department of Education's National Center for Education Statistics (NCES). It is the second follow-up with a cohort of bachelor's degree recipients originally identified during the 2015-16 National…
Descriptors: Longitudinal Studies, College Graduates, Bachelors Degrees, College Students
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Akcay, Miyase; Karabag, Tugce; Baglama, Basak; Yucesoy, Yucehan – Cypriot Journal of Educational Sciences, 2019
The aim of this research is to examine postgraduate thesis on mainstreaming education carried out in Turkey based on various variables. A total number of 200 postgraduate theses on mainstreaming education was obtained from Higher Education Council of Turkey. Data of the research were examined based on content analysis criteria including year of…
Descriptors: Foreign Countries, Doctoral Students, Doctoral Dissertations, Mainstreaming
Peer reviewed Peer reviewed
Direct linkDirect link
Trafimow, David; MacDonald, Justin A. – Educational and Psychological Measurement, 2017
Typically, in education and psychology research, the investigator collects data and subsequently performs descriptive and inferential statistics. For example, a researcher might compute group means and use the null hypothesis significance testing procedure to draw conclusions about the populations from which the groups were drawn. We propose an…
Descriptors: Statistical Inference, Statistics, Data Collection, Equations (Mathematics)
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kenneth R. Jones; Eugenia P. Gwynn; Allison M. Teeter – Journal of Human Sciences & Extension, 2019
This article provides insight into how an adequate approach to selecting methods can establish credible and actionable evidence. The authors offer strategies to effectively support Extension professionals, including program developers and evaluators, in being more deliberate when selecting appropriate qualitative and quantitative methods. In…
Descriptors: Evaluation Methods, Credibility, Evidence, Evaluation Criteria
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  63