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Direct linkCéline 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
Ivimey-Cook, Edward R.; Noble, Daniel W. A.; Nakagawa, Shinichi; Lajeunesse, Marc J.; Pick, Joel L. – Research Synthesis Methods, 2023
Extracting data from studies is the norm in meta-analyses, enabling researchers to generate effect sizes when raw data are otherwise not available. While there has been a general push for increased reproducibility in meta-analysis, the transparency and reproducibility of the data extraction phase is still lagging behind. Unfortunately, there is…
Descriptors: Replication (Evaluation), Data Collection, Meta Analysis, Computer Software
Download full textEpameinondas Panagopoulos; Ioannis Kamarianos – Open Journal for Educational Research, 2025
This paper emphasizes the divergences in quantitative and qualitative methodological approaches when exploring trust relationships in school units. We focus on how participants responded and how the results were interpreted. This study, based on such design, questionnaires, and semi-structured interviews to understand trust among teachers and…
Descriptors: Statistical Analysis, Qualitative Research, Research Methodology, Trust (Psychology)
Matovic, Nataša; Ovesni, Kristinka – International Journal of Social Research Methodology, 2023
The interaction of quantitative and qualitative methodology in the mixed methods research (MMR) is analysed in a context of distinctions of the meanings between the terms typically used for description, combination, and integration. The interaction in the phases that precede the results, and their interpretation is considered. As an indicator of…
Descriptors: Interaction, Statistical Analysis, Qualitative Research, Mixed Methods Research
Byers-Heinlein, Krista; Bergmann, Christina; Savalei, Victoria – Infant and Child Development, 2022
Infant research is often underpowered, undermining the robustness and replicability of our findings. Improving the reliability of infant studies offers a solution for increasing statistical power independent of sample size. Here, we discuss two senses of the term reliability in the context of infant research: reliable (large) effects and reliable…
Descriptors: Infants, Research, Reliability, Effect Size
Benjamin Alcott; Suman Bhattacharjea; Ricardo Sabates; Ankita Jha; Maria Khwaja; Preeti Manchanda; Akanksha Pandey; Purnima Ramanujan; Wilima Wadhwa; Poorva Shekher; Pratik Wadmare – International Journal of Research & Method in Education, 2025
Reflexivity in quantitative research is central to questioning the ways in which the data is designed, collected and interpreted. It requires the researcher to be reflexive about their knowledge, their positionality, and the bias they may bring at each stage of the research. Unfortunately, though, limited evidence exists on the use of reflexive…
Descriptors: Foreign Countries, Research Design, Statistical Analysis, Test Construction
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
John W. Creswell; Timothy C. Guetterman – Pearson, 2024
Balancing coverage of qualitative, quantitative and combined methods, "Educational Research" offers a truly inclusive and integrated overview of the processes involved in planning, conducting and evaluating research. It first examines the general steps in the research process and then details the procedures for conducting specific types…
Descriptors: Educational Research, Statistical Analysis, Qualitative Research, Mixed Methods Research
Buckley, Jeffrey; Hyland, Tomás; Seery, Niall – International Journal of Technology and Design Education, 2023
Technology education research is a growing field, with the rate of growth increasing over the last 2 decades. As the field grows, it is paramount that credibility is maintained in published findings. To date there is no evidence to suggest a lack trust is warranted, however in the midst of the replication crisis there is need to ensure continued…
Descriptors: Technology Education, Educational Research, Replication (Evaluation), Credibility
Bonifay, Wes – Grantee Submission, 2022
Traditional statistical model evaluation typically relies on goodness-of-fit testing and quantifying model complexity by counting parameters. Both of these practices may result in overfitting and have thereby contributed to the generalizability crisis. The information-theoretic principle of minimum description length addresses both of these…
Descriptors: Statistical Analysis, Models, Goodness of Fit, Evaluation Methods
Santoro, Stephanie L.; Donelan, Karen; Constantine, Melissa – Journal of Applied Research in Intellectual Disabilities, 2022
Background: Views can be collected from individuals (self-report) or others on their behalf (proxy-report). Objective: We aimed to review the literature on methods and statistical approaches used to evaluate observer versus self-report responses from individuals with intellectual disability or Down syndrome. Methods: A series of key questions…
Descriptors: Intellectual Disability, Down Syndrome, Statistical Analysis, Data Collection
Yuan Hsiao; Lee Fiorio; Jonathan Wakefield; Emilio Zagheni – Sociological Methods & Research, 2024
Obtaining reliable and timely estimates of migration flows is critical for advancing the migration theory and guiding policy decisions, but it remains a challenge. Digital data provide granular information on time and space, but do not draw from representative samples of the population, leading to biased estimates. We propose a method for…
Descriptors: Migration, Migration Patterns, Data Collection, Data Analysis
Dawadi, Saraswati; Shrestha, Sagun; Giri, Ram A. – Journal of Practical Studies in Education, 2021
The article positions mixed-method research (MMR) as a principled complementary research method to the traditional quantitative and qualitative research approaches. By situating MMR in an analysis of some of the common research paradigms, the article presents it as a natural choice in order to complement and cater to the increasingly complex needs…
Descriptors: Mixed Methods Research, Statistical Analysis, Qualitative Research, Data Collection
Dawadi, Saraswati; Shrestha, Sagun; Giri, Ram A. – Online Submission, 2021
The article positions mixed-method research (MMR) as a principled complementary research method to the traditional quantitative and qualitative research approaches. By situating MMR in an analysis of some of the common research paradigms, the article presents it as a natural choice in order to complement and cater to the increasingly complex needs…
Descriptors: Mixed Methods Research, Statistical Analysis, Qualitative Research, Data Collection
Buckley, Jeffrey; Adams, Latif; Aribilola, Ifeoluwapo; Arshad, Iram; Azeem, Muhammad; Bracken, Lauryn; Breheny, Colette; Buckley, Ciara; Chimello, Ismael; Fagan, Alison; Fitzpatrick, Daniel P.; Garza Herrera, Diana; Gomes, Guilherme Daniel; Grassick, Shaun; Halligan, Elaine; Hirway, Amit; Hyland, Tomás; Imtiaz, Muhammad Babar; Khan, Muhammad Bilal; Lanzagorta Garcia, Eduardo; Lennon, Paul; Manaf, Eyman; Meng, Jing; Mohd Sufian, Mohd Sufino Zuhaily; Moraes, Adrielle; Osterwald, Katja Magdalena; Platonava, Anastasia; Reid, Clodagh; Renard, Michèle; Rodriguez-Barroso, Laura G.; Simonassi-Paiva, Bianca; Singh, Maulshree; Szank, Tomasz; Tahir, Mehwish; Vijayakumar, Sowmya; Ward, Cormac; Yan, Xinyu; Zainol, Ismin; Zhang, Lin – International Journal of Technology and Design Education, 2022
A high level of transparency in reported research is critical for several reasons, such as ensuring an acceptable level of trustworthiness and enabling replication. Transparency in qualitative research permits the identification of specific circumstances which are associated with findings and observations. Thus, transparency is important for the…
Descriptors: Technology Education, Educational Research, Research Methodology, Accountability
