Publication Date
In 2025 | 4 |
Since 2024 | 23 |
Descriptor
Source
Author
Jason C. Garvey | 2 |
Abdulkadir Palanci | 1 |
Adrianna Crossing | 1 |
Alberto Ferriz-Valero | 1 |
Amanda Davis Simpfenderfer | 1 |
Amanda Jennings | 1 |
Anna-Carolina Haensch | 1 |
Beng Kok Ong | 1 |
Bernd Weiß | 1 |
Bogum Yoon | 1 |
Bryan J. Duarte | 1 |
More ▼ |
Publication Type
Journal Articles | 23 |
Reports - Research | 12 |
Information Analyses | 5 |
Reports - Descriptive | 4 |
Reports - Evaluative | 2 |
Education Level
Postsecondary Education | 4 |
Higher Education | 3 |
Elementary Secondary Education | 2 |
Early Childhood Education | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Preschool Education | 1 |
Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
David Kuehn; Ingo Rohlfing – Sociological Methods & Research, 2024
The debate about the characteristics and advantages of quantitative and qualitative methods is decades old. In their seminal monograph, "A Tale of Two Cultures" (2012, ATTC), Gary Goertz and James Mahoney argue that methods and research design practices for causal inference can be distinguished as two cultures that systematically differ…
Descriptors: Statistical Analysis, Qualitative Research, Research Methodology, Literature Reviews
Jason C. Garvey; Jimmy Huynh – Critical Education, 2024
The purpose of this manuscript is to illustrate the value and potential of critical approaches to quantitative research. We begin by providing our positionalities as scholars to situate ourselves within this content. Next, we overview quantitative criticalism and explore tensions inherent within this approach. Following, we discuss four…
Descriptors: Educational Research, Research Methodology, Statistical Analysis, Justice
Céline Chapelle; Gwénaël Le Teuff; Paul Jacques Zufferey; Silvy Laporte; Edouard Ollier – Research Synthesis Methods, 2024
The number of meta-analyses of aggregate data has dramatically increased due to the facility of obtaining data from publications and the development of free, easy-to-use, and specialised statistical software. Even when meta-analyses include the same studies, their results may vary owing to different methodological choices. Assessment of the…
Descriptors: Meta Analysis, Replication (Evaluation), Data Analysis, Statistical Analysis
Anna-Carolina Haensch; Jonathan Bartlett; Bernd Weiß – Sociological Methods & Research, 2024
Discrete-time survival analysis (DTSA) models are a popular way of modeling events in the social sciences. However, the analysis of discrete-time survival data is challenged by missing data in one or more covariates. Negative consequences of missing covariate data include efficiency losses and possible bias. A popular approach to circumventing…
Descriptors: Research Methodology, Research Problems, Social Science Research, Statistical Analysis
Sophie E. Stallasch; Oliver Lüdtke; Cordula Artelt; Larry V. Hedges; Martin Brunner – Educational Psychology Review, 2024
Well-chosen covariates boost the design sensitivity of individually and cluster-randomized trials. We provide guidance on covariate selection generating an extensive compilation of single- and multilevel design parameters on student achievement. Embedded in psychometric heuristics, we analyzed (a) covariate "types" of varying…
Descriptors: Academic Achievement, Intervention, Foreign Countries, Research Methodology
Terry A. Beehr; Minseo Kim; Ian W. Armstrong – International Journal of Social Research Methodology, 2024
Previous research extensively studied reasons for and ways to avoid low response rates, but it largely ignored the primary research issue of the degree to which response rates matter, which we address. Methodological survey research on response rates has been concerned with how to increase responsiveness and with the effects of response rates on…
Descriptors: Surveys, Response Rates (Questionnaires), Effect Size, Research Methodology
Lingbo Tong; Wen Qu; Zhiyong Zhang – Grantee Submission, 2025
Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…
Descriptors: Factor Analysis, Monte Carlo Methods, Statistical Analysis, Sample Size
Bryan J. Duarte – Educational Studies: Journal of the American Educational Studies Association, 2024
Critical quantitative methods provide opportunities for Queer Theory to challenge, re-define, and re-claim the historically privileged research tradition. In this paper, I begin by summarizing the various binaries that oppress research and individuality. I then engage with Queer Theory and my own intersectional positionality to propose a nonbinary…
Descriptors: Statistical Analysis, Research Methodology, Social Justice, Homosexuality
Kamden K. Strunk – Educational Studies: Journal of the American Educational Studies Association, 2024
Quantitative methods have a long historical entanglement with oppressive ideologies, including eugenics, white supremacism, and anti-LGBTQ+ ideology. Increasingly, scholars have made attempts at rectifying quantitative methods by bringing them into conversation with critical theoretical frameworks. One such example is QuantCrit, which attempts to…
Descriptors: Statistical Analysis, Research Methodology, Ideology, Critical Race Theory
Colin Foster – International Journal of Research & Method in Education, 2024
Educational researchers continue to polarize into 'qualitative' and 'quantitative' camps, with these terms often functioning as global identity markers, rather than as styles of research that are available to anyone. Many scholars have lamented the drawbacks of researchers being siloed into opposing, apparently incommensurable research paradigms,…
Descriptors: Educational Research, Research Methodology, Research Design, Epistemology
Menglin Xu; Jessica A. R. Logan – Educational and Psychological Measurement, 2024
Research designs that include planned missing data are gaining popularity in applied education research. These methods have traditionally relied on introducing missingness into data collections using the missing completely at random (MCAR) mechanism. This study assesses whether planned missingness can also be implemented when data are instead…
Descriptors: Research Design, Research Methodology, Monte Carlo Methods, Statistical Analysis
Beng Kok Ong – International Journal of Social Research Methodology, 2024
This article examines how rigour is achieved in the Abductive Research Strategy (ARS). It begins with a review of some of the arguments about objectivity and rigour in social sciences, which shows that quantitative and qualitative researchers hold different meanings of objectivity and therefore different ways of achieving rigour in their research.…
Descriptors: Research Methodology, Social Science Research, Qualitative Research, Statistical Analysis
Kamaruddin Mardhiah; Othman Nursyahiyatul-Anis – Pedagogical Research, 2024
Background: In Malaysia, the mortality from melioidosis infection was reported to be higher than in other infectious diseases. The research on melioidosis is still limited in Malaysia but slightly increasing. Objectives: The objective of the study was to give an overview of the study designs, statistical methods, and comparison of research in…
Descriptors: Predictor Variables, Mortality Rate, Foreign Countries, Statistical Analysis
Suyoung Kim; Sooyong Lee; Jiwon Kim; Tiffany A. Whittaker – Structural Equation Modeling: A Multidisciplinary Journal, 2024
This study aims to address a gap in the social and behavioral sciences literature concerning interaction effects between latent factors in multiple-group analysis. By comparing two approaches for estimating latent interactions within multiple-group analysis frameworks using simulation studies and empirical data, we assess their relative merits.…
Descriptors: Social Science Research, Behavioral Sciences, Structural Equation Models, Statistical Analysis
William Bosshardt; Amanda Jennings; Peter Davies – Journal of Economic Education, 2024
The authors of this article present arguments for why and how qualitative research should be used in economic education. These arguments recognize the nature of economics as a discipline and economics educators' current expertise and preferences. The authors have five goals: (i) clarifying how and why the use of qualitative research in economic…
Descriptors: Economics Education, Educational Research, Qualitative Research, Statistical Analysis
Previous Page | Next Page »
Pages: 1 | 2