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 |