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Judith Schoonenboom – Journal of Mixed Methods Research, 2024
Fetters et al.'s (2013) mixed methods integration framework uses construction metaphors: building, connecting, merging, and embedding. In a similar vein, this article uses an architectural metaphor and introduces design patterns as building blocks for mixed methods research design. A design pattern embeds one specific design decision into its…
Descriptors: Mixed Methods Research, Research Design, Comparative Analysis, Figurative Language
Ian Greener – International Journal of Social Research Methodology, 2024
This paper argues for three aspects of tolerance with respect to QCA research: tolerance with respect to different approaches to QCA; producing QCA research with tolerance (work that is resistant to criticism); and for QCA researchers to be clear about the tolerance of the solutions they present -- especially in terms of calibration and truth…
Descriptors: Qualitative Research, Research Methodology, Comparative Analysis, Research Design
Stephan B. Bruns; Teshome K. Deressa; T. D. Stanley; Chris Doucouliagos; John P. A. Ioannidis – Research Synthesis Methods, 2024
Using a sample of 70,399 published p-values from 192 meta-analyses, we empirically estimate the counterfactual distribution of p-values in the absence of any biases. Comparing observed p-values with counterfactually expected p-values allows us to estimate how many p-values are published as being statistically significant when they should have been…
Descriptors: Meta Analysis, Research Reports, Research Design, Microeconomics
Oliveira, Nuno; Secchi, Davide – Sociological Methods & Research, 2023
Researchers increasingly take advantage of the comparative case design to build theory, but the degree of case dependence is occasionally discussed and theorized. We suggest that the comparative case study design might be subject to an often underappreciated threat--dependence across cases--under certain conditions. Using research on innovation…
Descriptors: Comparative Analysis, Case Studies, Research Design, Innovation
Badillo-Vega, Rosalba; Krücken, Georg; Pineda, Pedro – Studies in Higher Education, 2021
We conducted a systematic literature review of 111 empirical studies published between 1969 and 2018. We found that research does not exponentially grow in comparison to research on higher education or leadership; empirical research emerging in the 1980s does not completely replace non-empirical inquiry. Studies from English-speaking authors…
Descriptors: College Presidents, Leadership, Educational Research, Statistical Analysis
Ha, Cheyeon – International Journal of Research & Method in Education, 2023
This study aims to introduce network meta-analysis (NMA) to provide educational researchers with an extended view of the reviewing educational research. Meta-analytic methods have been widely used in educational research reviews. However, weaknesses have emerged in the multi-group comparison analysis of educational studies where different…
Descriptors: Comparative Analysis, Network Analysis, Meta Analysis, Intervention
Ledford, Jennifer R.; Chazin, Kate T.; Gagnon, Kari L.; Lord, Anne K.; Turner, Virginia R.; Zimmerman, Kathleen N. – Remedial and Special Education, 2021
Comparison studies conducted to determine which instructional interventions are most efficient for teaching discrete behaviors to individuals with disabilities are potentially valuable, although some threats to internal validity may be more likely in these studies. Studies included in this review typically met common internal validity standards,…
Descriptors: Comparative Analysis, Intervention, Behavior Modification, Special Education
Thomann, Eva; Maggetti, Martino – Sociological Methods & Research, 2020
Recent years have witnessed a host of innovations for conducting research with qualitative comparative analysis (QCA). Concurrently, important issues surrounding its uses have been highlighted. In this article, we seek to help users design QCA studies. We argue that establishing inference with QCA involves three intertwined design components:…
Descriptors: Qualitative Research, Comparative Analysis, Research Design, Validity
Weidlich, Joshua; Gaševic, Dragan; Drachsler, Hendrik – Journal of Learning Analytics, 2022
As a research field geared toward understanding and improving learning, Learning Analytics (LA) must be able to provide empirical support for causal claims. However, as a highly applied field, tightly controlled randomized experiments are not always feasible nor desirable. Instead, researchers often rely on observational data, based on which they…
Descriptors: Causal Models, Inferences, Learning Analytics, Comparative Analysis
Experimental Research into Teaching Innovations: Responding to Methodological and Ethical Challenges
Taber, Keith S. – Studies in Science Education, 2019
Experimental studies are often employed to test the effectiveness of teaching innovations such as new pedagogy, curriculum, or learning resources. This article offers guidance on good practice in developing research designs, and in drawing conclusions from published reports. Random control trials potentially support the use of statistical…
Descriptors: Instructional Innovation, Educational Research, Research Design, Research Methodology
Jordan Rickles; Martyna Citkowicz; Megha Joshi; Mark Lachowicz; Robert Nathenson – Society for Research on Educational Effectiveness, 2022
Background: Over the past 20 years, much has been written about the merits and limitations of matching methods, particularly propensity score matching (see, e.g., Stuart, 2010 for a review of matching approaches), and the myriad ways matching can be implemented to identify a comparison group that is similar to the treatment group on observable…
Descriptors: Observation, Research Design, Educational Research, Comparative Analysis
Smith, Ken; Zajda, Joseph – Education and Society, 2018
The purpose of this article is to provide a critique of the main concepts of qualitative and quantitative methodologies for conducting research. It is written expressly for the novice researcher in an attempt to clarify the major misconceptions and misunderstandings concerning the qualitative-quantitative research polarities. This article will not…
Descriptors: Qualitative Research, Statistical Analysis, Research Methodology, Research Design
Stapleton, David C.; Bell, Stephen H.; Hoffman, Denise; Wood, Michelle – American Journal of Evaluation, 2020
The Benefit Offset National Demonstration (BOND) tested a $1 reduction in benefits per $2 earnings increase above the level at which Social Security Disability Insurance benefits drop from full to zero under current law. BOND included a rare and large "population-representative" experiment: It applied the rule to a nationwide, random…
Descriptors: Federal Programs, Public Policy, Experiments, Comparative Analysis
Adrienne D. Woods; Cecelia Gloski; Yangyang Wang; Paul Morgan – Society for Research on Educational Effectiveness, 2023
Background: Special education services are individualized supports provided to students with disabilities (SWD) that should help them make appropriate educational progress given their abilities, educational needs, and goals (Endrew F. v. Douglas County School District, 2017). Concerns about the benefits of these services have emerged given the…
Descriptors: Meta Analysis, Special Education, Students with Disabilities, Access to Education
Langan, Dean; Higgins, Julian P. T.; Jackson, Dan; Bowden, Jack; Veroniki, Areti Angeliki; Kontopantelis, Evangelos; Viechtbauer, Wolfgang; Simmonds, Mark – Research Synthesis Methods, 2019
Studies combined in a meta-analysis often have differences in their design and conduct that can lead to heterogeneous results. A random-effects model accounts for these differences in the underlying study effects, which includes a heterogeneity variance parameter. The DerSimonian-Laird method is often used to estimate the heterogeneity variance,…
Descriptors: Simulation, Meta Analysis, Health, Comparative Analysis