ERIC Number: ED454258
Record Type: RIE
Publication Date: 2001-Apr-13
Content-Related Issues Pertaining to Teaching Statistics: Making Decisions about Educational Objectives in Statistics Courses.
Bliss, Leonard B.; Tashakkori, Abbas
This paper discusses the objectives that would be appropriate for statistics classes for students who are not majoring in statistics, evaluation, or quantitative research design. These "non-majors" should be able to choose appropriate analytical methods for specific sets of data based on the research question and the nature of the data, and they should be able to interpret the results of data analyses in light of the research question that was proposed. Non-majors should be able to choose from and to interpret the results from these classes of statistical procedures: (1) descriptive statistics (measures of central tendency and measures of variations); (2) measures of relative standing; (3) measures of association (bivariate correlation and regression and multiple correlation and regression); (4) simple cases of hypothesis testing (t-tests, analysis of variance, and analysis of covariance); and (5) multivariate techniques (multivariate analysis of variance, factor analysis, discriminant function analysis, and canonical correlation and regression). Nonmajors also should be able to use statistical analysis computer packages, with the depth of learning determined by the needs of the student. (SLD)
Publication Type: Opinion Papers; Speeches/Meeting Papers
Education Level: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Note: Paper presented at the Annual Meeting of the American Educational Research Association (Seattle, WA, April 10-14, 2001).