1EDMS 646 Quantitative Research Methods II Spring 2006 Room 1121 Benjamin Building Instructor: Amy B. Hendrickson, Ph.D. TA Office: 1109 Benjamin Office: 1230B Benjamin Phone: (301) 405-7873 Phone: (301) 405-3627 E-mail: [email protected] Office Hours: By appointment Course Objective This course is intended to be a second course in descriptive and inferential statistics and to expand your statistical skills beyond those that you acquired in EDMS 645. It is presumed that you already have a thorough understanding of the normal curve, z-tests, t-tests, simple correlation, simple regression, and 2χ tests of goodness-of-fit and independence. This course will broaden your ability to analyze data from more complex research designs that involve multiple independent variables with multiple levels. You will learn both conceptual and technical aspects about these more general analyses. Moreover, you will learn to conduct them manually and/or using the SPSS computer package. Course Materials Required Text: Lomax, R. G. (1998). Statistical concepts: A second course for education and behavioral sciences, 2nd edition. Mahwah, NJ: Lawrence Erlbaum Associates, Publishers. Supplemental articles and chapters are listed later in the syllabus. Students are responsible for obtaining these articles, but two copies of each article will be available at the ETS library. Class notes are available as a Course Pack at the University Book Store Optional Computer Package: SPSS 13 (or earlier) for Windows (Standard or Student Version) Teaching Assistants Teaching assistants are available during the week in room 1109 Benjamin, mainly for computer help, though they should be able to assist with other material as well if time allows. Statistical Software Examples in class will come from SPSS/Windows 13, which is available in the Center for Technology and Support Services (CTSS) Computer Lab (0230 Benjamin). Students may use whichever recent SPSS package they wish, but you should know that slight differences may exist between what I present and the options available on your version. Furthermore, the SPSS student versions do not do the repeated measures designs.2TOPIC SOURCE PAGES 1. Review and extensions of the independent samples t-test Logic of hypothesis testing SR 42 Factors affecting statistical power In-class notes Power analysis and sample size determination 2. New distributions and tests for variance In-class notes 2χ distributions and 2χ tests of variance SR 43, 44 F distributions and F tests of variance 3. Hypothesis tests with one factor Lomax 76-104 One-way ANOVA model with fixed effects In-class notes Power analysis and sample size determination SR 52, 53 4. Multiple comparisons procedures for the one-way design Lomax 108-135 Familywise error rate In-class notes Pairwise comparisons Complex contrasts 5. Multifactor ANOVA Lomax 138-169 Two-way factorial ANOVA with fixed effects SR 50 Plotting and interpreting main effects and interactions In-class notes Tests of simple effects Multiple comparisons Three-way factorial designs 6. Models with random effects Random and mixed models Lomax 203-225 7. Repeated Measures Designs Lomax 225-245 One-way repeated-measures ANOVA SR 54, 55 Sphericity assumption and adjustments for violations In-class notes Multiple comparisons Mixed between/within designs (Split-plot) 8. Dealing with concomitant variables Lomax 174-199 Randomized block designs Lomax 259-273 Analysis of covariance In-class notes 9. Hierarchical (nested) designs (time permitting) Lomax 248-259 In-class notes Students are responsible for reading assignments prior to lectures. Coverage dates are not given due to the fact that topic presentation time varies from semester to semester. However, topics will be covered in the order given above. There will be NO CLASS on April 13th3Supplemental Readings 42. and 51. Hinkle,Wiersma, & Jurs (2003). Chapter 13, Determining Power and Sample Size, pp 297-330 in Applied Statistics for the Behavioral Sciences. (5th Edition). Houghton-Mifflin. 44. Unknown Author. Theoretical Distributions for Use in Statistical Inference, Chapter 11, pps 228-239. 43. Hinkle, Wiersma, & Jurs (1988). Applied Statistics for the Behavioral Sciences. (2nd Edition). Houghton-Mifflin, pp 230-284. 52. APA Manual (1994). Publication Manual of the American Psychological Association, 4th Edition, pps 15-18, 111-118, 130-131. 53. McCabe, Trevino, & Butterfield (2001). Dishonesty in academic environments: The influence of peer reporting requirements, The Journal of Higher Education, 72(1), pps 29-45. 50. Sherman & Fischer (2002). Spirituality and addiction recovery for rehabilitation counseling, Journal of Applied Rehabilitation Counseling, 33(4). 54. DiStefano & Lasserre-Cortez (2003). Investigating changes in child behavior during elementary school, Paper presented at the annual meeting of the Southwest Educational Research Association, San Antonio, TX. 55. Scribner, J.P., Truell, A.D., Hager, D.R., and Srichai, S. (2001) An exploratory study of career and technical education teacher empowerment: Implications for school leaders. Journal of Career and Technical Education, 18(1), 46-57. Assessments Homework: There will be several assignments, each designed to give students a chance to apply and practice the concepts learned in class, through both manual calculation and computer tasks. Students are allowed and encouraged to work together on homework assignments. Assignments should be submitted at or prior to the time specified in class for full earned credit: late work will be accepted for full earned credit if and only if arrangements are made with the instructor prior to time due. Otherwise, 10% of the possible points will be deducted for each weekday the assignment is late. Quizzes: At the start of four classes a quiz will be administered (probably February 16th, March 9th, April 6th, and May 4th). Each quiz will cover material from the lessons since the last quiz or exam, unless otherwise specified, and will include conceptual and calculation problems. Students will be allowed to use one double-sided 8 ½ by 11” sheet of notes for each quiz. Students who miss the