EDE 9803 Quantitative Methods II
Dr. Elsa-Sofia Morote
"Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write." H. G. Wells (predicted a century ago, now this day has arrived).
Research Methods and Multivariate Analysis
| The purpose of this course is to provide doctoral students with an introduction to various research methods, and their corresponding data analysis/statistical procedures, used for conducting empirical research in education and procedures used for conducting empirical research in education and social sciences. These methods include experimental and quasi-experimental designs, bivariate and multivariate correlation/regression, survey analysis or sample survey research, and historical methodology. Appropriate statistical analysis associated with each research method will be discussed and SPSS assignments included. In addition, an introduction to measurement and measurement theory will be provided with major emphasis on the techniques and procedures used in the social sciences for developing adequate instrumentation and questionnaires. This is the second course in the Quantitative methods sequence designed to help students in conducting their own research necessary for completing the dissertation. |
Books
Educational Research, Competencies for Analysis and Applications, L Gay, Geoffrey Mills and Peter Airasian
Using SPSS For Windows – Analyzing and Understanding Data Samuel B. Green, Neil J. Salkind, Theresa M. Akey. Prentice-Hall
The purpose of this course is to provide doctoral students with an introduction to the following research methods:
First Weekend
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Introduction |
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Materials | ||
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Research methods: Selection of subjects Design and/or procedures Data gathering – Instruments and Questionnaire Treatment of data – Statistical procedures
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Variables, independent, dependent,
moderating/control and intervening variable Types of variables http://www.indiana.edu/~educy520/sec5982/week_2/variable_types.pdf
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Class Discussion | |
| Research Problem Exercises | ||
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BaBasic Experimental & Quasi-experimental Designs - Necessary conditions for true experimental designs - Internal and external design validity - Sources of variance, variance control - Random assignment |
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1. Statistical procedures: t-test: independent means t-tests |
SPSS book - One Sample t Test
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| SPSS book Independent Samples t Test | ||
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ANOVA: One-way, multiple range tests, Posthoc analysis |
SPSS book One Way Analysis of Variance Spss Book Two Way Analysis of Variance | |
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CORRELATION |
Article Discussion | |
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Sunday |
8:30-4.30 pm |
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2. Bivariate Correlation and Regression Analysis (Review from Quantitative Methods I)
Statistical procedures: Pearson correlation, Scatter plots |
SPSS Lesson 30. Pearsin Product-Moment Correlation Coefficient SPSS- Lesson 32 Bivariate Linear Regression |
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Article Discussion |
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Second Weekend
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Hours |
Topic | Materials | |||
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Introduction to Multiple regression
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SPSS Lesson Multiple Linear Regression |
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Article Discussion |
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Regression
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Article Discussion | ||||
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Advanced Experimental Designs · Factorial designs and interaction effects · Repeated measures designs · Analysis of Covariance: Statistical control |
SPSS Lesson | ||||
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Introduction to Measurement and Measurement Theory
Statistical Procedures: Reliability Analysis |
SPSS lessons 36 and 37 | |||
Factor Analysis
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Article Discussion | ||||
Grading
Tests (Midterm+ Final) 50 %.
In-Class Activities / Participation (25 %)
Quantitative Research Text References
Black, Thomas R. (1999). Doing quantitative research in the social sciences: an integrated approach to research design, measurement and statistics; Sage Publications, Inc., California
Campbell, D.T. & Stanley, J.C Experimental and Quasi-Experimental Designs for Research.
Cook, T.D. & Campbell, D.T. Quasi-Experimentation: Design and Analysis Issues for Field Settings.
Davitz, J.R. & Davitz, L.J. A Guide: Evaluating Research Proposals in the Behavioral Sciences.
Dillman, D. The Total Design Method.
Donovan, T., & Hoover, K. R. (2000). The elements of social scientific thinking (7th ed.). New York: St. Martin’s Press.
Galvan, J. (1999). Writing literature reviews. Los Angeles, CA: Pyrczak.
Glesne, C. (1999). Becoming qualitative researchers: An introduction (2nd ed.). New York: Addison, Wesley, Longman.
Gorard, Stephen (2001). Quantitative methods in educational research: the role of numbers made easy; Continuum, New York
Haller, E. J., & Kleine, P. F. (2001). Using educational research: A school administrator's guide. New York: Addison, Wesley, Longman.
Huck, S. W., Cormier, W. H., & Bounds, W. G., Jr. (1995). Reading statistics and research (2nd ed.). New York: Harper.
Johnson, Burke; Christensen, Larry (2000). Educational research: quantitative and qualitative approaches; Allyn and Bacon,
Leedy, P.D. Practical Research: Planning and Design.
Madsen, D. Successful Dissertations and Theses.
Mertens, Donna M. (1998). Research methods in education and psychology: integrating diversity with quantitative and qualitative approaches; Sage Publications, Inc., California
Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental design for generalized causal inference. Boston: Houghton Mifflin.
Struening, E.L. & Brewer, M.B. (eds.) Handbook of Evaluation Research.
Stufflebeam, D., et al. Educational Evaluation and Decision Making.
Trochim, W. M. K. (2001). The research methods knowledge base (2nd ed.). Cincinnati, OH: Atomic Dog. http://trochim.human.cornell.edu/kb/contents.htm
Warwick, D.R. & Lininger, C.A. The Sample Survey: Theory and Practice.
Wright, Sonia (1979). Quantitative methods and statistics: a guide to social research; Sage Publications, Inc., California