ANCOVA RESEARCH STUDY 3 pages
yusuf4· Required Resources
· Course Text: Discovering Statistics Using IBM SPSS Statistics
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2. Chapter 12, "Analysis of Covariance, ANCOVA (GLM 2)" In this chapter, you will learn about assumptions and issues in ANCOVA, conducting ANCOVA on SPSS, interpreting the output of ANCOVA, and ANCOVA as a multiple regression.
. Website: Trochim, W.M.K. (2006). Covariance designs. Retrieved from http://www.socialresearchmethods.net/kb/expcov.php This website provides a description of covariance and explains its functions.
. Handout: Statistics Application Evaluation Criteria (Word document) This handout will guide you in completing and submitting your ANCOVA Application Assignment for this week.
. Software: IBM SPSS Statistics Standard GradPack (current version). Available in Windows and Macintosh versions. Please refer to the IBM SPSS Software area on the left navigation bar for more information on how to install, register, and license this software. You will use this software to complete this week's Application Assignment.
Media
. Analysis of Covariance — Conceptual (Adobe Captivate)
Dr. Jennifer Morrow explains the conceptual framework of an analysis of covariance. This Flash-based demonstration will open in a new window. ( Transcript for Analysis of Covariance — Conceptual )
. Analysis of Covariance — Applied (Adobe Captivate) Dr. Jennifer Morrow provides an example of the analysis of covariance using PASW. This Flash-based demonstration will open in a new window. ( Transcript for Analysis of Covariance — Applied )
Research Toolkit
Research Design
. Website: Web Center for Social Research Methods http://www.socialresearchmethods.net This website is for people involved in applied social research and evaluation. You will find several resources and links to other locations on the web that deal in applied social research methods.
. Website: Cengage Research Methods Workshops http://www.wadsworth.com/psychology_d/templates/student_resources/workshops/resch_wrk.html This website offers many useful workshop topics such as experimental methods, reliability and validity, surveys, sampling methods, ethical issues, and evaluating published research.
Statistics and SPSS
. Website: SPSS Solutions for Education: Student Resources http://www-01.ibm.com/software/analytics/spss/academic/students/resources.html The SPSS student support site provides a knowledgebase and allows students to request assistance from SPSS Technical Support staff. Since this site is produced and maintained by the creators of the PASW software, it is the best place to go when you have a question about the software.
. Website: UCLA's 'What Statistical Analysis Should I Use?' Table http://www.ats.ucla.edu/stat/mult_pkg/whatstat/default.htm This statistics table shows general guidelines for choosing a statistical analysis, and links showing how to do such tests using SAS, Stata and PASW. This is a good place to go if you are not sure which statistical test would best answer the research question you have.
. Website: Statistics Hell http://www.statisticshell.com/html/apf.html This site is Andy Field's (the author of the main course text) online statistics resource. This site provides additional explanations beyond the textbook and more examples. This is the best place to go when you are confused about how to do a particular test.
. Website: Cengage Statistics Workshops http://www.wadsworth.com/psychology_d/templates/student_resources/workshops/stats_wrk.html This website offers many useful workshop topics such as experimental methods, ethical issues, and evaluating published research.
Optional Resources
. Text: Using Multivariate Statistics
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15. Chapter 6, "Analysis of Covariance" This text offers another explanation of the analysis of covariance and goes into more depth regarding the statistical background of the test.
. Text: Publication Manual of the American Psychological Association
16. Chapter 5, "Displaying Results"
. Website: Research Methods Knowledge Base http://www.socialresearchmethods.net/kb/statcov.php
Media
. Data Cleaning and Dealing with Assumptions (Adobe Captivate) Dr. Jennifer Morrow explains the assumptions surrounding many of the tests you will study and explains ways that you can manage data that violates these assumptions. This Flash-based demonstration will open in a new window.