Faculty Of Engıneerıng
Industrıal Engıneerıng (Englısh)
Course Information
| STATISTICAL METHODS IN SPSS | |||||
|---|---|---|---|---|---|
| Code | Semester | Theoretical | Practice | National Credit | ECTS Credit |
| Hour / Week | |||||
| INE415 | Fall | 3 | 0 | 3 | 4 |
| Prerequisites and co-requisites | |
|---|---|
| Language of instruction | English |
| Type | Elective |
| Level of Course | Bachelor's |
| Lecturer | Prof. Dr. Adnan MAZMANOĞLU |
| Mode of Delivery | Face to Face |
| Suggested Subject | |
| Professional practise ( internship ) | None |
| Objectives of the Course | Analyzing the quantitative data in research at the sufficient level |
| Contents of the Course | Research and data analysis, hypothesis tests, simple/ bivariate and partial correlation, parametric tests, independent samples t-tests, ANOVA, paired samples tests, one/two way ANOVA of mixed measures, simple linear regression, ANCOVA, factor analysis, multivariate ANOVA, MANOVA, chi-square test, Mann Whitney U test, Kruskal Wallis H test, Wilcoxon signed rank test, reliability analysis |
Learning Outcomes of Course
| # | Learning Outcomes |
|---|---|
| 1 | Upon completion of this course students will explain properties of hypothetical tests. |
| 2 | Upon completion of this course students will form a data set in SPSS. |
| 3 | At the end of this course students will execute parametric and non-parametric tests in SPSS. |
| 4 | Upon completion of this sourse students will interpret SPSS outcomes. |
Course Syllabus
| # | Subjects | Teaching Methods and Technics |
|---|---|---|
| 1 | Research and data analysis | |
| 2 | hypothesis tests | |
| 3 | simple/ bivariate and partial correlation | |
| 4 | parametric tests, independent samples t-tests | |
| 5 | ANOVA, paired samples tests | |
| 6 | one/two way ANOVA of mixed measures | |
| 7 | simple linear regression | |
| 8 | Analysis of covariance (ANCOVA) | |
| 9 | Mid-term exam | |
| 10 | factor analysis | |
| 11 | multivariate ANOVA, MANOVA | |
| 12 | chi-square test, Mann Whitney U test, | |
| 13 | Kruskal Wallis H test, Wilcoxon signed rank test, | |
| 14 | reliability analysis | |
| 15 | Figuring out of Obtained Data | |
| 16 | Final Exam |
Course Syllabus
| # | Material / Resources | Information About Resources | Reference / Recommended Resources |
|---|---|---|---|
| 1 |
Method of Assessment
| # | Weight | Work Type | Work Title |
|---|---|---|---|
| 1 | 40% | Mid-Term Exam | Mid-term Exam |
| 2 | 60% | Final Exam | Final Exam |
Relationship between Learning Outcomes of Course and Program Outcomes
| # | Learning Outcomes | Program Outcomes | Method of Assessment |
|---|---|---|---|
| 1 | Upon completion of this course students will explain properties of hypothetical tests. | ||
| 2 | Upon completion of this course students will form a data set in SPSS. | ||
| 3 | At the end of this course students will execute parametric and non-parametric tests in SPSS. | ||
| 4 | Upon completion of this sourse students will interpret SPSS outcomes. |
Work Load Details
| # | Type of Work | Quantity | Time (Hour) | Work Load |
|---|---|---|---|---|
| 1 | Course Duration | 14 | 3 | 42 |
| 2 | Course Duration Except Class (Preliminary Study, Enhancement) | 14 | 2 | 28 |
| 3 | Presentation and Seminar Preparation | 0 | 0 | 0 |
| 4 | Web Research, Library and Archival Work | 0 | 0 | 0 |
| 5 | Document/Information Listing | 0 | 0 | 0 |
| 6 | Workshop | 0 | 0 | 0 |
| 7 | Preparation for Midterm Exam | 0 | 0 | 0 |
| 8 | Midterm Exam | 1 | 5 | 5 |
| 9 | Quiz | 0 | 0 | 0 |
| 10 | Homework | 1 | 6 | 6 |
| 11 | Midterm Project | 0 | 0 | 0 |
| 12 | Midterm Exercise | 0 | 0 | 0 |
| 13 | Final Project | 0 | 0 | 0 |
| 14 | Final Exercise | 0 | 0 | 0 |
| 15 | Preparation for Final Exam | 0 | 0 | 0 |
| 16 | Final Exam | 1 | 9 | 9 |
| 90 | ||||