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  Course Description
Course Name : Basic Biostatistics in Sports Sciences

Course Code : BED-513

Course Type : Compulsory

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Fall (16 Weeks)

ECTS : 5

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

Learning Outcomes of the Course : Forms a research question and sets up a hypothesis
Develops data collection tools appropriate for the design of the study
Enters data to the SPSS software
Applies the basic parametric and nonparametric hypothesis tests
Interprets the SPSS outputs
Summarizes the outcomes on 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 develop knowledge and skills about scientific research design, accurate and reliable data collection and statistical analysis methods.

Course Contents : Each student will transform an idea into a research study, set up the hypothesis, decide on the design and the method, prepare a questionnaire related to the research, collect data, enter the data to the database, analyze the data descriptively and test hypothesis using the SPSS software, and finally create appropriate tables and graphs to summarize the SPSS output results.

Language of Instruction : Turkish

Work Place : Biyostatistics Dept


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Asking research questions, setting up hypotheses Presentation, Brain storming, question and answer
2 Planning research Choosing a research topic, forming a research question and setting up a hypothesis Presentation, Brain storming, question and answer, web based research
3 Study designs Choosing the appropriate study design for the research topic Presentation, Brain storming, question and answer, web based research
4 Relationship of hypotheses and research-type Finding research topics related to the field Presentation, Brain storming, question and answer, web based research
5 Valid and reliable data collection Designing a questionnaire Presentation, question and answer, web based research
6 Valid and reliable data collection Designing a questionnaire and creating a database Presentation, question and answer, web based research
7 Data entry Entering the data Presentation, independent study
8 Homework Transforming an idea into research, setting up a hypothesis, choosing the appropriate design and method
9 Basic statistical concepts Reading Presentation, question and answer
10 Descriptive statistical analyses Application with SPSS software Presentation, question and answer, independent study
11 Basic hypothesis tests, parametric and non-parametric hypothesis tests Application with SPSS software Presentation, question and answer, independent study
12 Basic hypothesis tests, comparison of the ratios - chi-square test Application with SPSS software Presentation, question and answer, independent study
13 Basic hypothesis tests, comparison of the ratios - t-tests Application with SPSS software Presentation, question and answer, independent study
14 Summarizing the results with tables and graphs Interpreting the SPSS outputs and creating tables and graphs Presentation, question and answer, independent study
15 Summarizing the results with tables and graphs Interpreting the SPSS outputs and creating tables and graphs Presentation, question and answer, independent study
16/17 Project=Exam Analyzing the research findings, creating graphs and summarizing the results in graphs


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 60
    Homeworks/Projects/Others 2 40
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. 3
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 2 10 20
    Mid-term Exams (Written, Oral, etc.) 1 10 10
    Final Exam 1 20 20
Total Workload: 134
Total Workload / 25 (h): 5.36
ECTS Credit: 5