TÜRKÇE
ENGLISH
Information
| Unit | INSTITUTE OF MEDICAL SCIENCES |
| PHYSICAL EDUCATION AND SPORTS (PhD) | |
| Code | BSB634 |
| Name | Applied Methods of Analysis with SPSS Package Program in Sports Sciences |
| Term | 2018-2019 Academic Year |
| Term | Fall |
| Duration (T+A) | 2-2 (T-A) (17 Week) |
| ECTS | 6 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 |
The current term course schedule has not been prepared yet.
|
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
Resources
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 | - | Gains the ability to work in interdisciplinary areas. | 2 |
| PLO02 | - | Gains professional knowledge and skills that will contribute to the development of sports in the fields of coaching, health, sports management, teaching skills in sports, tourism and other sectors. | 1 |
| PLO03 | - | He/she specializes in the basic subjects specific to the field of sports sciences and the theories, concepts, principles and methods on which they are based. | |
| PLO04 | - | Gains competence in sports sciences. | |
| PLO05 | - | Follow the literature related to sports science at national and international level. | |
| PLO06 | - | Gains the ability to reach new syntheses by doing independent and original scientific research. | |
| PLO07 | - | She/he can share her knowledge and transfer what she has learned. | |
| PLO08 | - | They can use their knowledge and competencies for the benefit of society within the framework of ethical principles. | |
| PLO09 | - | Can define the problems of the field and produce analytical solutions. | 3 |
| PLO10 | - | Can make original studies that can bring innovation to sports sciences. | |
| PLO11 | - | They can follow technological developments in sports sciences and apply these developments in their field. | |
| PLO12 | - | They can take part in projects in different fields of sports sciences and approach problems holistically. | 1 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to statistical softwares interfaces | Laboratory Application | |
| 2 | Data entry, data derivation from theoretical distributions | Laboratory Application | |
| 3 | Generating frequency tables, crosstabs and multidimensional tables | Laboratory Application | |
| 4 | Generating graphics in several types | Laboratory Application | |
| 5 | Calculating descriptive statistics, one and two sample parametric tests | Laboratory Application | |
| 6 | One and two way ANOVA | Laboratory Application | |
| 7 | Multiple comparisons tests | Laboratory Application | |
| 8 | Mid-Term Exam | Laboratory Application | |
| 9 | Nonparametric tests, one sample tests (Binomial and sign test) | Laboratory Application | |
| 10 | Nonparametric tests, dependent two sample tests (Wilcoxon and McNemar Test) | Laboratory Application | |
| 11 | Nonparametric tests, independent two sample tests (Mann Whitney U and K-S Tests) | Laboratory Application | |
| 12 | Nonparametric tests, tests for more than two samples | Laboratory Application | |
| 13 | Linear regression and correlation analysis | Laboratory Application | |
| 14 | Sample applications 1 | Laboratory Application | |
| 15 | Sample applications 2 | Laboratory Application | |
| 16 | Term Exams | ||
| 17 | Term Exams |
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 | 22 | 22 |
| Final Exam | 1 | 16 | 16 |
| Total Workload (Hour) | 139 | ||
| Total Workload / 25 (h) | 5,56 | ||
| ECTS | 6 ECTS | ||