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Information
| Code | BSB634 |
| Name | Applied Methods of Analysis with SPSS Package Program in Sports Sciences |
| Term | 2022-2023 Academic Year |
| Term | Spring |
| Duration (T+A) | 2-2 (T-A) (17 Week) |
| ECTS | 5 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. LEVENT SANGÜN |
| Course Instructor |
1 |
Course Goal / Objective
Introduction to SPSS. Providing students with the ability to use statistical softwares necessary for introduction and advanced statistical education.
Course Content
Statistical software interfaces, data entry and data derivation using these softwares, generating tables and graphics, calculating descriptive statistics, parametric tests, nonparametric tests, regression-correlation analysis
Course Precondition
No Prerequisites for the Course
Resources
Statistics, Schaum's Outline Series. Third edition. Nobel publications
Notes
lecturer's notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Students will gain the ability to use effectively at least one statistical software which is highly crucial for researchers and statisticians nowadays |
| LO02 | Students will be able to use statistical software interfaces, data entry and data derivation using these softwares, generating tables and graphics |
| LO03 | Students will be able to calculate descriptive statistics |
| LO04 | Students will learn parametric tests, nonparametric tests |
| LO05 | Students will learn regression-correlation analysis |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Gains competence in sports sciences. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Specializes in the theory, concepts, principles and methods on which the basic subjects of sports sciences are based. | 2 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Gain professional knowledge and skills to contribute to the development of sports in the areas of coaching, physical education, sports management, health, tourism and other sectors. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Gains the ability to work in interdisciplinary areas. | 2 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Follow the literature related to sports science at national and international level. | |
| PLO06 | Bilgi - Kuramsal, Olgusal | Gain the ability to reach new syntheses by doing independent and original scientific research. | 5 |
| PLO07 | Bilgi - Kuramsal, Olgusal | Students can share their knowledge and convey what they have learned. | |
| PLO08 | Bilgi - Kuramsal, Olgusal | Students can use their knowledge and competence for the benefit of society within the framework of ethical principles. | |
| PLO09 | Bilgi - Kuramsal, Olgusal | Define the problems of the field and produce analytical solutions. | 4 |
| PLO10 | Bilgi - Kuramsal, Olgusal | Students can make original studies that can bring innovation to sports science. | 3 |
| PLO11 | Bilgi - Kuramsal, Olgusal | Students will be able to follow technological developments in sports sciences and apply these developments in their field. | 3 |
| PLO12 | Bilgi - Kuramsal, Olgusal | Students can take part in projects in different fields of sports science and can approach the problems in a holistic manner. | 2 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to statistical softwares interfaces | Laboratory Application | Öğretim Yöntemleri: Alıştırma ve Uygulama, Soru-Cevap, Anlatım |
| 2 | Data entry, data derivation from theoretical distributions | Laboratory Application | Öğretim Yöntemleri: Alıştırma ve Uygulama, Soru-Cevap, Anlatım |
| 3 | Generating frequency tables, crosstabs and multidimensional tables | Laboratory Application | Öğretim Yöntemleri: Alıştırma ve Uygulama, Soru-Cevap, Anlatım |
| 4 | Generating graphics in several types | Laboratory Application | Öğretim Yöntemleri: Alıştırma ve Uygulama, Anlatım, Soru-Cevap |
| 5 | Calculating descriptive statistics, one and two sample parametric tests | Laboratory Application | Öğretim Yöntemleri: Alıştırma ve Uygulama, Soru-Cevap, Anlatım |
| 6 | One and two way ANOVA | Laboratory Application | Öğretim Yöntemleri: Alıştırma ve Uygulama, Soru-Cevap, Anlatım |
| 7 | Multiple comparisons tests | Laboratory Application | Öğretim Yöntemleri: Alıştırma ve Uygulama, Soru-Cevap, Anlatım |
| 8 | Mid-Term Exam | Laboratory Application | Ölçme Yöntemleri: Performans Değerlendirmesi, Ödev |
| 9 | Nonparametric tests, one sample tests (Binomial and sign test) | Laboratory Application | Öğretim Yöntemleri: Alıştırma ve Uygulama, Soru-Cevap, Anlatım |
| 10 | Nonparametric tests, dependent two sample tests (Wilcoxon and McNemar Test) | Laboratory Application | Öğretim Yöntemleri: Alıştırma ve Uygulama, Soru-Cevap, Anlatım |
| 11 | Nonparametric tests, independent two sample tests (Mann Whitney U and K-S Tests) | Laboratory Application | Öğretim Yöntemleri: Alıştırma ve Uygulama, Soru-Cevap, Anlatım |
| 12 | Nonparametric tests, tests for more than two samples | Laboratory Application | Öğretim Yöntemleri: Alıştırma ve Uygulama, Soru-Cevap, Anlatım |
| 13 | Linear regression and correlation analysis | Laboratory Application | Öğretim Yöntemleri: Alıştırma ve Uygulama, Soru-Cevap, Anlatım |
| 14 | Sample applications 1 | Laboratory Application | Öğretim Yöntemleri: Problem Çözme |
| 15 | Sample applications 2 | Laboratory Application | Öğretim Yöntemleri: Problem Çözme |
| 16 | Term Exams | Ölçme Yöntemleri: Performans Değerlendirmesi, Ödev |
|
| 17 | Term Exams | Ölçme Yöntemleri: Performans Değerlendirmesi, Ödev |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 4 | 56 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 3 | 3 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 8 | 8 |
| Final Exam | 1 | 16 | 16 |
| Total Workload (Hour) | 125 | ||
| Total Workload / 25 (h) | 5,00 | ||
| ECTS | 5 ECTS | ||