Social Services Master With Thesis
Course Details
KTO KARATAY UNIVERSITY
Graduate Education Institute
Programme of Social Services Master With Thesis
Course Details
Graduate Education Institute
Programme of Social Services Master With Thesis
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 83811106 | Applications of Advanced Statistics in Social Sciences | 1 | Autumn | 1 | 3+0+0 | 7 | 7 |
| Course Type | Elective |
| Course Cycle | - |
| Course Language | Turkish |
| Methods and Techniques | Straight narration In-class discussion Giving a presentation |
| Mode of Delivery | Face to Face |
| Prerequisites | None. |
| Coordinator | - |
| Instructor(s) | Prof. Kamil ALPTEKİN |
| Instructor Assistant(s) | - |
Course Content
Bu ders ile yüksek lisans öğrencilerinin çok değişkenli analizlerdeki temel konuları öğrenmeleri, karşılaştıkları araştırma sorularına bağlı olarak uygun analizleri seçebilmeleri, çok değişkenli analizlerle ilgili olarak istatistik paket programlarını kullanmaları, çok değişkenli analizlerle ilgili rapor yazabilmeleri ve çok değişkenli analizlere uygun araştırma soruları tasarlayabilmeleri beklenmektedir. Ayrıca, sosyal hizmet araştırmaları özelinde, ileri istatistik uygulamalarının kullanımına ilişkin çalışmalar yürütmeleri de bu derste üzerinde durulacak konular arasındadır.
Objectives of the Course
Introducing single and multivariate statistical methods to students, performing statistical applications in appropriate package programs, and thus enabling students to make their own analyzes for different research structures.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | X |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P2 | Conducting social work research based on quantitative, qualitative and mixed methods | 5 |
| P3 | Behaving according to ethical obligations and managing complex ethical issues | 2 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Has knowledge about advanced research methods and techniques. | P.2.1 | 1,2 |
| O2 | Conducts a literature review on the selected topic and plans the research design. | P.2.2 | 1,2 |
| O3 | Analyzes qualitative and quantitative data with advanced statistical knowledge. | P.2.3 | 1,2 |
| O4 | Organize, interpret and report the findings obtained from research. | P.2.4 | 1,2 |
| O5 | Creates intra-organizational and inter-organizational databases in the fields of social services and uses these data in evaluating practices and creating strategies for the future. | P.2.5 | 1,2 |
| O6 | Researches and critically examines social issues. | P.2.6 | 1,2 |
| O7 | Uses technology in social work practices within the framework of ethical rules. | P.3.6 | 1,2 |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Getting acquainted, the way the course is taught, some basic concepts related to statistics and research |
| 2 | Chi-Square test with application examples |
| 3 | Correlation with application examples |
| 4 | Regression analysis with application examples: Simple linear regression, multiple regression |
| 5 | Comparison of two means -1:-One Sample t Test, t Test for Unrelated Samples, Mann-Whitney U Test, t Test for Related Samples, Wilcoxon Test |
| 6 | Comparison of two means -2:-One Sample t Test, t Test for Unrelated Samples, Mann-Whitney U Test, t Test for Related Samples, Wilcoxon Test |
| 7 | Comparison of more than two means -1: Single Factor Analysis of Variance and Post-Hoc Tests for Independent Samples, Kruskall-Wallis H Test, Single Factor Analysis of Variance for Repeated Measurements, Friedman Test |
| 8 | Midterm |
| 9 | Comparison of more than two means -2: Single Factor Analysis of Variance and Post-Hoc Tests for Independent Samples, Kruskall-Wallis H Test, Single Factor Analysis of Variance for Repeated Measurements, Friedman Test |
| 10 | ANOVA designs -1: Two-Factor ANOVA for Independent Groups, -Mixed Design / SplitPlot ANOVA (Two-Factor ANOVA with Repeats on One Factor), Analysis of Covariance (ANCOVA), -Multivariate Analysis of Variance (MANOVA) |
| 11 | ANOVA designs -2: Two-Factor ANOVA for Independent Groups, -Mixed Design / SplitPlot ANOVA (Two-Factor ANOVA with Repeats on One Factor), Analysis of Covariance (ANCOVA), -Multivariate Analysis of Variance (MANOVA) |
| 12 | Validity and reliability concepts and analysis, Item Total Correlation |
| 13 | Advanced statistical applications through examples in SPSS -1 |
| 14 | Advanced statistical applications through examples in SPSS -2 |
Textbook or Material
| Resources | Psikolojik danışmanlık ve rehberlik, psikoloji ve diğer sosyal bilimlerde ileri istatistik: SPSS ve Amos uygulamalı (2022). M. Otrar, & (editörler). Ankara: Nobel Akademik Yayıncılık. |
| Psikolojik danışmanlık ve rehberlik, psikoloji ve diğer sosyal bilimlerde ileri istatistik: SPSS ve Amos uygulamalı (2022). M. Otrar, & (editörler). Ankara: Nobel Akademik Yayıncılık. |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Homework | 1 | 20 (%) |
| Presentation | - | - |
| Seminar | - | - |
| Midterms | 1 | 30 (%) |
| Final Exam | 1 | 60 (%) |
| Total | 110 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 3 | 14 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 3 | 14 | 42 |
| Midterms | 1 | 14 | 14 |
| Quiz | 0 | 0 | 0 |
| Homework | 2 | 18 | 36 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 2 | 19 | 38 |
| Fieldwork | 2 | 10 | 20 |
| Final Exam | 1 | 20 | 20 |
| Other | 1 | 13 | 13 |
| Total Work Load: | 225 | ||
| Total Work Load / 30 | 7,50 | ||
| Course ECTS Credits: | 8 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P2 | P3 |
|---|---|---|---|
| O1 | Has knowledge about advanced research methods and techniques. | 5 | - |
| O2 | Conducts a literature review on the selected topic and plans the research design. | 5 | - |
| O3 | Analyzes qualitative and quantitative data with advanced statistical knowledge. | 5 | - |
| O4 | Organize, interpret and report the findings obtained from research. | 5 | - |
| O5 | Creates intra-organizational and inter-organizational databases in the fields of social services and uses these data in evaluating practices and creating strategies for the future. | 5 | - |
| O6 | Researches and critically examines social issues. | 5 | - |
| O7 | Uses technology in social work practices within the framework of ethical rules. | - | 5 |