DATA ANALYSIS-II
- Course
- STAT208 - DATA ANALYSIS-II
- Department
- Basic Sciences and Humanities
- Course Type
- Scientific Preparation
- Status
- Required
- Language
- English
- Credit
- 0
- ECTS
- 0
- T+P+L
- 0 + 0 + 0
- Course Coordinator(s)
- -
- Prerequisite
- -
- Keywords
Course Description
This course is the continuation of STAT207 where students established the necessary preliminary foundation on anayzing several type of psychological research problems. Students will learn how to generate research questions, decide the type of analysis for certain type of research problems and analyze data using SPSS and write the report of the results in APA style. Students will learn to use SPSS for several hypothesis testing problems such as the difference of two independent samples means, one sample t-tests, the difference of means of two related samples within the frame of several subfield of psychology. Hypothesis testing for the difference of means of more than two samples, One-way ANOVA, two-way ANOVA and Ki-square will be studied with using SPSS.
DATA ANALYSIS-II
Evaluation Tools (Active Term)
No evaluation items have been defined.
Course outcomes
- 01 They calculate the descriptive statistics of data sets in SPSS. 2
- 02 They summarize the data sets by using graphs in SPSS 4
- 03 They identfy the research problems by using hypotheses 2
- 04 They can apply proper t tests for comparing two population means based on given research problems in SPSS. 4
- 05 They can appraise and apply the variance analysis for comparing group means more than two in SPSS 4
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Introduction to the course; basic concepts and terms related to descriptive and inferential statistics. |
| Week 2 | writing research questions, research hypotheses, null hypotheses; hypothesis testing. |
| Week 3 | Standard error and confidence interval |
| Week 4 | Applications of standard error and confidence intervals, presenting them using plots in SPSS |
| Week 5 | Inferential statistics: t-test applications (one-sample t-test, independent samples t-test, dependent samples t-test) |
| Week 6 | Inferential statistics: t-test applications (one-sample t-test, independent samples t-test, dependent samples t-test) |
| Week 7 | Inferential statistics: t-test applications (one-sample t-test, independent samples t-test, dependent samples t-test) |
| Week 8 | Mixed applications of t-tests in SPSS |
| Week 9 | Midterm Exams |
| Week 10 | Variance Analysis (one-way ANOVA) and post-hoc tests |
| Week 11 | Analysis of variance applications |
| Week 12 | Two-way variance analysis |
| Week 13 | Applications of Two-way variance analysis |
| Week 14 | Nonparametric Tests |
| Week 15 | Final Exams |
Reference Books & Course Materials
- 01 Field, A. (2017). Discovering Statistics Using IBM SPSS Statistics, 5th Edition, Sage.
- 02 Green, S. B., Salkind, N. J. (2014). Using SPSS For Windows And Macintosh -7TH Edition. Boston: Pearson.
- 03 Elzey, F. F. (1985). Elementary Statistical Techniques. California: Brooks/Cole.
- 04 Coursepack prepared by the instructor.
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
No program outcomes have been defined.
Po-Lo Matrix
The PO-LO matrix has not been populated yet.