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Vaske, Jerry J. – Sagamore-Venture, 2019
Data collected from surveys can result in hundreds of variables and thousands of respondents. This implies that time and energy must be devoted to (a) carefully entering the data into a database, (b) running preliminary analyses to identify any problems (e.g., missing data, potential outliers), (c) checking the reliability and validity of the…
Descriptors: Surveys, Theories, Hypothesis Testing, Effect Size
Prow, Rachael M.; Worrell, Frank C.; Andretta, James R.; Mello, Zena R. – Berkeley Review of Education, 2016
The purpose of the study was to use model-based clustering to identify adolescent time attitude profiles in a sample of students from an urban high school using Adolescent Time Inventory-Time Attitude (ATI-TA) scores and to examine the association of ATI-TA profiles with demographic variables and grade point average (GPA). Three ATI-TA profiles…
Descriptors: Urban Schools, High School Students, Profiles, Gender Differences
Sutton, Anna; Taylor, David; Johnston, Carol – Journal of Further and Higher Education, 2014
A clear understanding of how students view plagiarism is needed if the extensive efforts devoted to helping them engage in high-quality scholarship are to be worthwhile. There are a variety of views on this topic, but theoretical models to integrate the literature, take account of international differences and guide practitioners are limited.…
Descriptors: Plagiarism, Familiarity, Models, Questionnaires
Keaton, Shaughan A.; Bodie, Graham D. – International Journal of Listening, 2013
This article investigates the quality of social scientific listening research that reports numerical data to substantiate claims appearing in the "International Journal of Listening" between 1987 and 2011. Of the 225 published articles, 100 included one or more studies reporting numerical data. We frame our results in terms of eight…
Descriptors: Periodicals, Journal Articles, Listening, Social Science Research
Zientek, Linda Reichwein; Thompson, Bruce – Educational Researcher, 2009
Correlation matrices and standard deviations are the building blocks of many of the commonly conducted analyses in published research, and AERA and APA reporting standards recommend their inclusion when reporting research results. The authors argue that the inclusion of correlation/covariance matrices, standard deviations, and means can enhance…
Descriptors: Effect Size, Correlation, Researchers, Multivariate Analysis
Strang, Kenneth David – Practical Assessment, Research & Evaluation, 2009
This paper discusses how a seldom-used statistical procedure, recursive regression (RR), can numerically and graphically illustrate data-driven nonlinear relationships and interaction of variables. This routine falls into the family of exploratory techniques, yet a few interesting features make it a valuable compliment to factor analysis and…
Descriptors: Multicultural Education, Computer Software, Multiple Regression Analysis, Multidimensional Scaling
Wong, Angela F. L.; Chong, Sylvia; Choy, Doris; Wong, Isabella Y-F; Goh, Kim Chuan – Australian Journal of Teacher Education, 2008
The purpose of this study was to investigate if there were differences in the levels of pedagogical knowledge and skills as perceived by the student teachers who were enrolled in the Primary and the Secondary Post Graduate Diploma in Education programme at the National Institute of Education in Singapore. 170 Primary and 426 Secondary student…
Descriptors: Preservice Teacher Education, Preservice Teachers, Student Teachers, Knowledge Level