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EPSY 6301 ADVANCED DATA ANALYSIS Course Credit: Semester and Year: Instructor: Office Location: Office Hours: Telephone: Meeting time: Room Number: E-mail Course Description Prerequisite: EPSY 5380, EPSY 5381, and EPSY 5385. (Preferably the first two) The present course has several goals that are intended to help students understand advanced concepts and procedures of research, educational and psychological problems. These include a brief review of research design, scientific theory building, internal and external validity of research, univariate and multivariate techniques including multivariate ANOVA and its application across different types of experimental designs. Course Objectives The student will 1. describe and explain the different statistical procedures for analyzing data from nonequivalent group designs including analysis of variance, mean separation techniques, analysis of covariance (ANCOVA) with a single and/or multiple covariates and ANOVA with blocking or matching. be able to explain the different procedures involving repeated measures with factorial designs, and multivariate analysis of variance. be able to know how and when to implement the above statistical techniques for the solution of research questions commonly found in their respective disciplines. demonstrate knowledge on the different ways of reducing error variance using experimental design concepts. distinguish between the various types of bivariate and multivariate statistical procedures and their applications. describe, apply and interpret tests of significance and estimation for both univariate and multivariate situations. 3 hours Fall 2005 Arturo Olivrez, Jr. Ph.D. Education 374 West Wing 1:00-4:00 p.m. TT or by Appointment 742-1997 ext. 293 Wednesday at 6:00-8:50 p.m. Education 162 West Wing [e-mail]
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Instructional Units 1. An introduction to the different aspects involved in conducting educational research including issues related to statistical, internal, construct and external
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validity and ways in which these threats may be totally or partially minimized by the researcher. An introduction to the different statistical techniques involving ANOVA factorial designs for both univariate and multivariate statistics. Basic fundamental concepts underlying the analysis of variance procedure will be presented and demonstrated. Application of a priori and a posteriori multiple comparison techniques will be presented and applied to the most common types of experimental designs. Brief presentation of plan comparisons and orthogonal contrasts will be also presented and demonstrated. An introduction to trend analysis in completely randomized designs will be explain and demonstrated. An introduction and application of multivariate analysis of variance. If time permits, rationale for the use of one way and factorial MANOVA will be explained. Processing the data by the use of statistical packages such as SAS or SPSS and the preparation of research reports. Real data files will be used to illustrate some of the problems faced by researchers in collecting and analyzing datasets.
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Textbook and Other Required Reading, Other Instructional Resources Kirk, R. (1995). Experimental Design: Procedures for the Behavioral Sciences (3rd ed.). Brooks/Cole Publishing Co. Green, S. B., Salkind, N. J. & Akey, T. M. (2000) Using SPSS for Windows: Analyzing and understanding data. 2nd Ed. Prentice Hall, Upper Saddle River, NJ. Assignments, Evaluation Procedures, and Grading Policy Exams and chapter exercises. There will be two major in class exams designed to access students ability to discern the statistical concepts covered. The exams are focused on conceptual aspects of the several statistical design taught and covered in the semester. Additionally, chapter exercises will be assigned in order to acquire computational skill will be assigned for each chapter. The chapters covered will have a set of exercises at the end of the chapter. These exercises will consist of conceptual questions, as well as, computational questions for course credit. Eight chapters will be selected from Kirk and other relevant sources to assign these exercises. The exercises will be turned a week after the lecture on that particular chapter has been presented and/or explained to the class. Each chapter exercise will yield as many as 10 points per assignment. A total of 40 % points from the overall course grade will be awarded to these exercises. Most of these problems will require hand calculations and the application of computer statistical package(s), thus, students will be urged to get familiarized with any of statistical packages available to them (SAS or SPSS) from the mainframe or PC sources. Our college provides several of these PC sources in the Graduate Lab in Room 2. Article Critiques. Each class member will include in the introduction of the statistical project write-up at least five critical reviews of literature pertaining to the given problem. Of those referenced articles, one critical review will be turned in for
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credit. Each review will be worth 2% points or 10% percentage points of the overall course grade. Instructor will provide examples of what is required on these reviews. Chapter Project. Students will earn a satisfactory grade on 6 projects. In order to obtained full credit for these class projects, the students complete these projects which involve the application of the different statistical procedures discussed throughout the course. The format of the projects will include a set of textbook questions related to a given data set. The chapter project will include the hand calculations and the computer output of the problem. The write-up will consist of about a 10-page manuscript (journal-type). The instructor will provide of previous examples done previously and a handout with a checklist of potential steps and/or components of an article manuscript. The results of the findings, for almost all projects, should be reported to include the following parts: a) Introduction b) Statement of problem c) Brief review of literature *(part of the introduction)(Minimum of 5 references) d) Methods e) Results Discussion f) A total of 50% course points will be part of these assignments with each project worth 100 points. Student is expected to type the project write-up and turn in all the hand calculations needed to solve the problem(s) plus computer program output. Follow common writing formats such as APA, MLE, etc. The length of the write-up should not be less than 8 pages. Typical APA format calls for a 12-point size font and one and one half inch margins. Summary of grading system for course assignments Chapter exercises & exam Research critiques Six major projects Total 400 points 50 points 600 points 1050 points 40% 10% 50% 100%
Letter grade assignment (University guidelines) 90.0--93.9 80.0--83.9 70.0--73.9 60.0--63.9 < 60 ABCDF 94.0--96.9 84.0--86.9 74.0--76.9 64.0--66.9 A B C D 97.0-99.9 87.0-89.9 77.0-79.9 67.0-89.9 A+ B+ C+ D+
In order to obtain a grade based on the criteria above, all assignments must be completed before the semester is over. If a student fails to complete the assigned tasks, then an incomplete grade, an I, will be posted in the student record. Students are discouraged to place themselves in that position since the grading system changes once the student does not finish the required material for the semester. The grading procedures' changes are left to the discretion of the instructor. Other Class Policies
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Class attendance is expected and strongly encouraged. Contact instructor if you have to be absent so that material, assignments and exams missed by student are made up in timely manner. Civility in the classroom Students are expected to assist in maintaining a classroom environment that is conducive to learning. In order to assure that all students have an opportunity to gain from time spent in class, unless otherwise approved by the instructor, students are prohibited from using cellular phones or beepers, eating or drinking in class, making offensive remarks, reading newspapers, sleeping or engaging in any other form of distraction. Inappropriate behavior in the classroom shall result in, minimally, a request to leave the class.
American with Disability Act The university is committed to the principle that in no aspect of its programs shall there be differences in the treatment of persons because of race, creed, national origin, age, sex, or disability, and that equal opportunity and access to facilities shall be available to all. If you require special accommodations in order to participate, please contact me, as soon as possible for necessary accommodations. The student should present appropriate verification from AcessTECH in the office of the Dean of Students. No requirement exists that accommodation be made prior to completion of this approved university process. Honor Code. I take our standards of professional ethics seriously, as I expect all members of the academic community to do. Any form of cheating or plagiarism will result in the receipt of a failing grade for this course. Any paper you submit for this class must not have been submitted for any other class. Resubmission of any paper in this class will result in an "F" grade for that paper. No written work may be submitted for academic credit more than once. If you have any questions about how this may apply to a paper you are considering for this class, please ask.
Arturo Olivarez Tentative Class Schedule Date Sept. 1 Topic
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Research Strategies and the control of nuisance variables Do starred exercises numbers 2, 3, 4, 5, 8,9, and 10 Experimental Designs: An Overview Do starred exercises numbers 2, 5, 6, 12, 15, and 17 Fundamental Assumptions in ANOVA Do starred exercises numbers 3, 7, 8, 9, 12, 13, and 23 Review from appendices A and B Multiple Comparisons Tests Do starred exercises numbers 3, 4, 5, 6, 9, 13, and 19 Completely Randomized Design Statistical Project # 1 Kirk 4
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Sept. 22 Handouts Sept. 29 Oct. 6 Oct 13 Oct. 13 Kirk 9
Completely Randomized Design continued and Review of SAS and SPSS Completely Randomized Design continued
Randomized Block Design Statistical project one due Mid term Exam Introduce Completely Randomized Factorial design with two treatments Do starred exercises numbers 3, and 8 Statistical project two due
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Completely Randomized Factorial design with three or more trts Do starred exercises numbers 2, 3, and 5 Randomized Block Factorial Design Do starred exercises numbers 10 Statistical project three due Hierarchical Designs Do starred exercises numbers 3, and 7 Statistical project four due Analysis of Covariance Do exercises numbers 1-4, and 7 Multivariate Analysis of Variance Statistical project five due Thanksgiving Break Manova continued Review of previous material and catch up time. Overview of course content Final Exam and final project due Kirk 11 Kirk 10
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Oct. 27
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Nov. 10 Nov. 17 Nov. 24 Dec. 1 Dec. 8 Dec. 15
Kirk 15 Handout Haase/Ellis Tabachnick and Fidell Tabachnick and Fidell
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COURSE PROJECTS EPSY 6301 Fall 2005 1. WRITE-UP PROJECT # 1: COMPLETELY RANDOMIZED DESIGN. Kirks book page 206-7 problem # 5. Answer all items. 2. WRITE-UP PROJECT # 2: RANDOMIZED BLOCK DESIGNS. Kirks book page 311-312 Problem # 9. Answer all items a l but drop question g. 3. WRITE-UP PROJECT # 3: TWO-WAY ANOVA. Kirks book page 434 problem # 8. Answer all items. Additionally, you may use Schaffes test for performing multiple comparisons as needed. 4. WRITE-UP PROJECT # 4: THREE-WAY ANOVA Kirks book page 472 problem # 4. Answer all items. 5. WRITE-UP PROJECT # 5: RANDOMIZED BLOCK FACTORIAL ANOVA Kirks book page 475 problem # 14. Answer all items. 6. WRITE-UP PROJECT # 6: HIERARCHICAL DESIGNS Kirks book page 507 problem # 6. Answer all items 7. WRITE-UP PROJECT # 7: ANALYSIS OF COVARIANCE Kirks book page 747 problem # 10. Answer all items. 8. WRITE-UP PROJECT # 8: MULTIVARIATE ANALYSIS OF VARIANCE Problem to be given later. Most calculations will be derived from the statistical computer package used by the student.
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EPSY 6301 FALL 2005 ADVANCED DATA ANALYSIS NAME NAME ASSIGNMENTS 123456671 2 3 PROJECTS 4 5 EXAMS 1 2 FG LG NOTES