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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
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Zapata, Zakry; Sedory, Stephen A.; Singh, Sarjinder – Sociological Methods & Research, 2022
In this article, we consider the use of the zero-truncated binomial distribution as a randomization device while estimating the population proportion of a sensitive characteristic. The resultant new estimator based on the zero-truncated binomial distribution is then compared to its competitors from both the efficiency and the protection point of…
Descriptors: Social Science Research, Research Methodology, Comparative Analysis, Statistical Analysis
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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
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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
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Chattoe-Brown, Edmund – International Journal of Social Research Methodology, 2021
This article demonstrates how a technique called Agent-Based Modelling can address a significant challenge for effective interdisciplinarity. Different disciplines and research methods make divergent assertions about what a satisfactory explanation requires. However, without a unified framework analysing the implications of these differences…
Descriptors: Interdisciplinary Approach, Models, Research Methodology, Statistical Analysis
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Cabrera, Laura Y.; Reiner, Peter B. – Sociological Methods & Research, 2018
Between-subject design surveys are a powerful means of gauging public opinion, but critics rightly charge that closed-ended questions only provide slices of insight into issues that are considerably more complex. Qualitative research enables richer accounts but inevitably includes coder bias and subjective interpretations. To mitigate these…
Descriptors: Mixed Methods Research, Comparative Analysis, Content Analysis, Qualitative Research
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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
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McCarthy, Christopher J.; Whittaker, Tiffany A.; Boyle, Lauren H.; Eyal, Maytal – Journal for Specialists in Group Work, 2017
Rigorous scholarship is essential to the continued growth of group work, yet the unique nature of this counseling specialty poses challenges for quantitative researchers. The purpose of this proposal is to overview unique challenges to quantitative research with groups in the counseling field, including difficulty in obtaining large sample sizes…
Descriptors: Best Practices, Statistical Analysis, Group Counseling, Comparative Analysis
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Pietraß, Manuela – Research in Comparative and International Education, 2017
As in many other social sciences, in international and comparative education there is an epistemological schism between two main approaches, one of which is traditional whose methodology and methods are historical-hermeneutical, while the other is empirical and oriented towards the natural sciences. In international and comparative education,…
Descriptors: Philosophy, Epistemology, International Education, Comparative Education
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Lovekamp, William E.; Soboroff, Shane D.; Gillespie, Michael D. – Teaching Sociology, 2017
One innovative way to help students make sense of survey research has been to create a multifaceted, collaborative assignment that promotes critical thinking, comparative analysis, self-reflection, and statistical literacy. We use a short questionnaire adapted from the Higher Education Research Institute's Cooperative Institutional Research…
Descriptors: Research Projects, Learner Engagement, Surveys, Research Methodology
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Yang, Jason Cheng-Cheng – Journal of College Teaching & Learning, 2017
Higher education in Taiwan is facing competition and challenges from the macro environment of globalization. Taiwan's key policy direction is enhancing university quality in order to respond to these future trends. Universities' international competitiveness relies on not only faculty members' teaching quality, but also their research performance.…
Descriptors: College Faculty, Foreign Countries, Higher Education, Environmental Influences
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Goode, Christopher T.; Lamoreaux, Marika; Atchison, Kristin J.; Jeffress, Elizabeth C.; Lynch, Heather L.; Sheehan, Elizabeth – Teaching of Psychology, 2018
Hybrid or blended learning (BL) has been shown to be equivalent to or better than face-to-face (FTF) instruction in a broad variety of contexts. We randomly assigned students to either 50/50 BL or 100% FTF versions of a research methods and statistics in psychology course. Students who took the BL version of the course scored significantly lower…
Descriptors: Blended Learning, Courses, Research Methodology, Statistics
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Campitelli, Guillermo; Macbeth, Guillermo; Ospina, Raydonal; Marmolejo-Ramos, Fernando – Educational and Psychological Measurement, 2017
We present three strategies to replace the null hypothesis statistical significance testing approach in psychological research: (1) visual representation of cognitive processes and predictions, (2) visual representation of data distributions and choice of the appropriate distribution for analysis, and (3) model comparison. The three strategies…
Descriptors: Research Methodology, Hypothesis Testing, Psychology, Social Science Research
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Kleinert, Whitney L.; Codding, Robin S.; Minami, Takuya; Gould, Kaitlin – Journal of Behavioral Education, 2018
Taped problems is an intervention strategy for addressing mathematics fluency that has been evaluated in multiple single-case design studies. Although its efficacy has been supported in individual studies, no comprehensive quantitative synthesis has been conducted on taped problems. The purpose of this study was to synthesize the literature that…
Descriptors: Meta Analysis, Intervention, Statistical Analysis, Literature Reviews
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Jamnik, Matthew R.; Lane, David J. – Practical Assessment, Research & Evaluation, 2017
Today, researchers have the ability to conduct their investigations in a number of different manners, including both traditional testing using university subject pool participants and the more recent method of online recruitment. Although the use of internet participants is becoming more popular, this area of research is still very much in its…
Descriptors: Web Sites, Internet, Recruitment, Comparative Analysis
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