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  Course Description
Course Name : Advanced Biostatistics in Sport Sciences

Course Code : BED-514

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Fall and Spring (16 Weeks)

ECTS : 5

Name of Lecturer(s) : Assoc.Prof.Dr. GÜLŞAH SEYDAOĞLU

Learning Outcomes of the Course : Explains the basic concepts in biostatistics
Selects the appropriate study design according to research question-topics
Forms the research question and sets up the hypothesis
Develops the data collection tools appropriate for the design of the study
Enters data to the SPSS software and carries out descriptive statistics
Applies the basic hypothesis tests
Interprets the results of advance hypothesis tests such as correlation, regression, multivariate analyses and survival analyses and summarizes the outputs with tables and charts

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : The aim of this course is to teach research methods used in sports sciences and how to interpret the outputs of advanced statistical analysis methods using the SPSS software.

Course Contents : The students will analyze the results of their research, interpret basic and advanced hypothesis test results and summarize their results in graphs.

Language of Instruction : Turkish

Work Place : Biostatistics Dept


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Select a research topic, question and hypothesis - Presentation, brain storming
2 Planning research Finding research topics related to the field, forming questions and setting up hypotheses Presentation, brain storming, question-answer
3 Valid and reliable data collection Creating a database Presentation, independent study
4 Data entry Entering the collected data into the SPSS software Presentation, independent study
5 Basic statistical concepts Reading Presentation
6 Descriptive statistical analyses and basic hypothesis tests Application with the SPSS software Presentation, question-answer, independent study
7 Correlation tests Application with the SPSS software Presentation, question-answer, independent study
8 Assignment Transforming an idea into research, setting up a hypothesis, choosing the appropriate design and method Independent study
9 Multivariate analysis tests Application with the SPSS software Presentation, question-answer, independent study
10 Multivariate analysis tests Application with the SPSS software Presentation, question-answer, independent study
11 Regression analyses Application with the SPSS software Presentation, question-answer, independent study
12 Regression analyses Application with the SPSS software Presentation, question-answer, independent study
13 Survival Analyses Application with the SPSS software Presentation, question-answer, independent study
14 Summarizing the results with tables and graphs Application with the SPSS software Presentation, question-answer, independent study
15 Summarizing the results with tables and graphs Application with the SPSS software Presentation, question-answer, independent study
16/17 Assignment-Exam Analyzing the research findings, creating graphs and summarizing the results in graphs Independent study


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Paket Programlar ile İstatistiksel Veri Analizi Cilt 1 Prof. Dr. Kazım Özdamar
 Biyoistatistik Bilimsel Araştırma SPSS / Prof. Dr. M. Yusuf Çelik
 Paket Programlar İle İstatistiksel Veri Analizi 2 /Prof. Dr. Kazım Özdamar
 Pasw ile Biyoistatistik / Prof. Dr. Kazım Özdamar
 Uygulamalı Çok Değişkenli İstatistiksel Yöntemler/ Prof. Dr. C. Reha Alpar
  Spor, Sağlık ve Eğitim Bilimlerinden Örneklerle UYGULAMALI İSTATİSTİK ve GEÇERLİK-GÜVENİRLİK / Prof. Dr. Reha Alpar
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 40
    Homeworks/Projects/Others 3 60
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Uses the knowledge, experience, practice and problem solving skills acquired during his/her graduate study in interdisciplinary studies. 0
2 Develops basic scientific knowledge, skills and attitudes about body and sports. 3
3 Reviews policies in Physical Education and sports. 0
4 Explains the principles of organizational ethics. 0
5 Determines physical activity levels of individuals in different age groups in Physical Education and sports. 0
6 Develops periods and models for movement development by age groups in Physical Education and sports. 0
7 Makes analyses of sample case studies in Physical Education and sports organizations. 0
8 Reviews test development and measurement results intended for the development of individuals in Physical Education and sports. 4
9 Follows the trends in his/her field and develops his/her communication skills using a foreign language. 0
10 Explains the research methods and uses statistical analysis procedures in Physical Education and sports. 5
11 Describes the climate and culture of physical education and sports organizations. 0
12 Is aware of the developmental and educational problems of special needs children. 0
13 Evaluates and measures the physical suitability in disabled sports. 0
14 Practices injury rehabilitation and first aid techniques in sports. 0
15 Follows the national and international developments in the field and continues professional development. 0
16 Plans and holds sports organizations. 0
17 Keeps the culture of Olympism and Olympic movement alive. 0
18 Identifies and implements recreational activities. 0
19 Identifies the psychological tendencies in sports and implements methods and techniques in psychology. 0
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 4 56
    Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
    Homeworks, Projects, Others 3 5 15
    Mid-term Exams (Written, Oral, etc.) 1 10 10
    Final Exam 1 20 20
Total Workload: 129
Total Workload / 25 (h): 5.16
ECTS Credit: 5