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Jane E. Miller – Numeracy, 2023
Students often believe that statistical significance is the only determinant of whether a quantitative result is "important." In this paper, I review traditional null hypothesis statistical testing to identify what questions inferential statistics can and cannot answer, including statistical significance, effect size and direction,…
Descriptors: Statistical Significance, Holistic Approach, Statistical Inference, Effect Size
Alhadad, Sakinah S. J. – Journal of Learning Analytics, 2018
Understanding human judgement and decision making during visual inspection of data is of both practical and theoretical interest. While visualizing data is a commonly employed mechanism to support complex cognitive processes such as inference, judgement, and decision making, the process of supporting and scaffolding cognition through effective…
Descriptors: Visualization, Data Analysis, Evaluative Thinking, Statistical Inference
Ulriksen, Marianne S.; Dadalauri, Nina – International Journal of Social Research Methodology, 2016
Single case studies can provide vital contributions to theory-testing in social science studies. Particularly, by applying the process-tracing method, case studies can test theoretical frameworks through a rigorous research design that ensures substantial empirical leverage. While most scholarly contributions on process-tracing focus on either…
Descriptors: Case Studies, Hypothesis Testing, Social Science Research, Research Methodology
Roth, Wolff-Michael – Journal of Research in Science Teaching, 2011
In the wake of an increasing political commitment to evidence-based decision making and evidence-based educational reform that emerged with the No Child Left Behind effort, the question of what counts as evidence has become increasingly important in the field of science education. In current public discussions, academics, politicians, and other…
Descriptors: Science Education, Educational Research, Evidence, Definitions
Onwuegbuzie, Anthony J.; Collins, Kathleen M. T. – Qualitative Report, 2007
This paper provides a framework for developing sampling designs in mixed methods research. First, we present sampling schemes that have been associated with quantitative and qualitative research. Second, we discuss sample size considerations and provide sample size recommendations for each of the major research designs for quantitative and…
Descriptors: Social Science Research, Qualitative Research, Methods Research, Sample Size
Poirot, James L.; Knezek, Gerald A. – Computing Teacher, 1992
This third in a series of articles on work conducted at the Texas Center for Educational Technology and the University of North Texas focuses on research designs for teachers to determine the impact of technology in the classroom. Highlights include research and the scientific method; qualitative versus quantitative research; and statistical…
Descriptors: Computer Assisted Instruction, Educational Research, Educational Technology, Elementary Secondary Education