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Haynes-Brown, Tashane K. – Journal of Mixed Methods Research, 2023
The purpose of this article is to illustrate the dynamic process involved in developing and utilizing a theoretical model in a mixed methods study. Specifically, I illustrate how the theoretical model can serve as the starting point in framing the study, as a lens for guiding the data collection and analysis, and as the end point in explaining the…
Descriptors: Theories, Models, Mixed Methods Research, Teacher Attitudes
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Hotaling, Scott; Slabach, Brittany L.; Weisrock, David W. – Journal of Biological Education, 2018
The recent increase in accessibility and scale of genetic data available through next-generation sequencing (NGS) technology has transformed biological inquiry. As a direct result, the application and analysis of NGS data has quickly become an important skill for future scientists. However, the steep learning curve for applying NGS technology to…
Descriptors: Biology, Genetics, Data Analysis, Technology Integration
Meltzoff, Julian; Cooper, Harris – APA Books, 2017
Could the research you read be fundamentally flawed? Could critical defects in methodology slip by you undetected? To become informed consumers of research, students need to thoughtfully evaluate the research they read rather than accept it without question. This second edition of a classic text gives students the tools they need to apply critical…
Descriptors: Critical Thinking, Research Methodology, Evaluative Thinking, Critical Reading
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Ryan, Wendy L.; St. Iago-McRae, Ezry – Bioscene: Journal of College Biology Teaching, 2016
Experimentation is the foundation of science and an important process for students to understand and experience. However, it can be difficult to teach some aspects of experimentation within the time and resource constraints of an academic semester. Interactive models can be a useful tool in bridging this gap. This freely accessible simulation…
Descriptors: Research Design, Simulation, Animals, Animal Behavior
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Schoemann, Alexander M.; Miller, Patrick; Pornprasertmanit, Sunthud; Wu, Wei – International Journal of Behavioral Development, 2014
Planned missing data designs allow researchers to increase the amount and quality of data collected in a single study. Unfortunately, the effect of planned missing data designs on power is not straightforward. Under certain conditions using a planned missing design will increase power, whereas in other situations using a planned missing design…
Descriptors: Monte Carlo Methods, Simulation, Sample Size, Research Design
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Schlueter, Mark A.; D'Costa, Allison R. – American Biology Teacher, 2013
Guided-inquiry lab activities with bean beetles ("Callosobruchus maculatus") teach students how to develop hypotheses, design experiments, identify experimental variables, collect and interpret data, and formulate conclusions. These activities provide students with real hands-on experiences and skills that reinforce their understanding of the…
Descriptors: Teaching Methods, Biology, Research Design, Scientific Methodology
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Killen, Catherine P. – European Journal of Engineering Education, 2015
This paper outlines a novel approach to engineering education research that provides three dimensions of learning through an experiential class activity. A simulated decision activity brought current research into the classroom, explored the effect of experiential activity on learning outcomes and contributed to the research on innovation decision…
Descriptors: Engineering Education, Educational Innovation, Educational Research, Experiential Learning
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Fox, Bradley K.; Gorospe, Kelvin D.; Haverkort-Yeh, Roxanne D.; Rivera, Malia Ana J. – American Biology Teacher, 2013
This bioacoustics activity combines concepts in invertebrate taxonomy, animal communication, and acoustical physics while providing a unique opportunity for physics and biology teachers to collaborate and introduce their students to an exciting, interdisciplinary research field. Here, we propose a lab-and field-based activity that uses hydrophones…
Descriptors: Inquiry, Active Learning, Science Activities, Interdisciplinary Approach
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Chevalier, Cary D.; Ashley, David C.; Rushin, John W. – Journal of College Science Teaching, 2010
The purpose of this study was to assess some of the effects of a nontraditional, experimental learning approach designed to improve rapid acquisition and long-term retention of quantitative communication skills (QCS) such as descriptive and inferential statistics, hypothesis formulation, experimental design, data characteristics, and data…
Descriptors: Communication Skills, Statistics, Nontraditional Education, Hypothesis Testing
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Bell, Ellis – Biochemistry and Molecular Biology Education, 2011
A course design for first-year science students is described, where the focus is on the skills necessary to do science. The course uses original research projects, designed by the students, to teach a variety of skills including reading the scientific literature, hypothesis development and testing, experimental design, data analysis and…
Descriptors: Research Design, Research Methodology, Data Analysis, Research
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Hedges, Larry V. – Journal of Educational and Behavioral Statistics, 2009
A common mistake in analysis of cluster randomized experiments is to ignore the effect of clustering and analyze the data as if each treatment group were a simple random sample. This typically leads to an overstatement of the precision of results and anticonservative conclusions about precision and statistical significance of treatment effects.…
Descriptors: Data Analysis, Statistical Significance, Statistics, Experiments
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Hopkins, Kenneth D. – Educational and Psychological Measurement, 1983
A general analysis strategy is proposed such that the universe of inference is increased incrementally. The strategy prevents logically incongruent findings that occasionally result when the conventional analysis strategy is employed. (Author)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Research Design
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Williams, John D. – Multiple Linear Regression Viewpoints, 1980
Multiple comparisons involve the examination of which group or groups are actually different from other group(s) in analysis of variance results. Such comparisons usually involve one-way analysis of variance. This monograph discusses designs more complex than one-way designs. (JKS)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Research Design
Konold, Clifford E.; Well, Arnold D. – 1981
Several aspects of interview research heretofore receiving little attention are discussed. A brief description of the different types of interview formats and levels of analysis is presented. Following a discussion of the problem of analyzing protocol data, some suggestions are offered about analysis procedures that derive from constructionist…
Descriptors: Data Analysis, Hypothesis Testing, Interviews, Models
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Betz, M. Austin; Levin, Joel R. – Journal of Educational Statistics, 1982
Logically consistent hypothesis-testing for factorial analysis of variance designs is proposed in the context of a hierarchical model. It is shown that all of the hypotheses associated with the traditional factorial model are conceptually independent and occupy the lowest levels of the hierarchy. (Author/JKS)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Models
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