COURSE UNIT TITLE

: SCIENTIFIC RESEARCH TECHNIQUES AND STATISTICS IN SOCIAL SCIENCES

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
SYB 5012 SCIENTIFIC RESEARCH TECHNIQUES AND STATISTICS IN SOCIAL SCIENCES ELECTIVE 3 0 0 5

Offered By

Sports Management

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR HULUSI MEHMET TUNÇKOL

Offered to

Sports Management

Course Objective

The purpose of this course, is able to provide ; - Understanding of the importance of statistics in research, - To learn the basic concepts of probability and statistics, - Organize research data in computer, - Graphs, tables and numerical methods for summarizing deploy, - Application of basic statistical analysis, to students.

Learning Outcomes of the Course Unit

1   To be aware that there may need statistical support in the study's planning
2   Understanding the scale of measurement of any data and the knowledge of summarizing methods with the numerical, graphical and tables that are appropriate to the scale
3   The knowledge of the addition and multiplication rules, dependency and independency concepts related with the events of probability and to use these in calculating
4   The knowledge of the Student-t test and Wilcoxon's test methods that are used in case of a single sample or two paired samples and the appropriate usage according to the data.
5   The knowledge of the Student's-t Test, Mann-Whitney U-Test, One-way ANOVA and Kruskal Wallis analysis methods which are used in case of two or more independent sample and the appropriate usage according to the data.
6   The knowledge of Chi-square Test methods for analysis of categorical data and the appropriate usage according to the data
7   In order to measure the linear relationship between two variables, the knowledge of Pearson's and Spearman's Correlation Analysis and the appropriate usage according to the data.
8   Compilation and analysis of data obtained from a study in the computer environment according to the course scope

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 The place and importance of statistics in research. Categoric-Ordinal-Numeric mesurement scales and their properties.
2 Table and graph methods for summarizing data.
3 Summarizing the data by using measures of the middle and the spread
4 Summarizing the data by using measures of the middle and the spread
5 Sampling methods and sampling distributions
6 Sampling methods and sampling distributions
7 In one-sample and paired two-sample cases, the hypothesis testing methods related with the population mean (and median): Student's t-Test and Wilcoxon's Test.
8 Midterm exam
9 In one-sample and paired two-sample cases, the hypothesis testing methods related with the population mean (and median): Student's t-Test and Wilcoxon's
10 In one-sample and paired two-sample cases, the hypothesis testing
11 In one-sample and paired two-sample cases, the hypothesis testing
12 The knowledge of the Student's-t Test, Mann-Whitney U-Test, One-way ANOVA and Kruskal Wallis analysis methods which are used in case of two or more independent sample and the appropriate usage according to the data.
13 The knowledge of the Student's-t Test, Mann-Whitney U-Test, One-way ANOVA and Kruskal Wallis analysis methods which are used in case of two or more independent sample and the appropriate usage according to the data.
14 Categorical data analysis: Chi-square
15 Linear relationship between variables: Pearson and Spearman's Correlation Analysis
16 Final exam

Recomended or Required Reading

Ikiz F., Püskülcü H., Eren Ş., "Istatistiğe Giriş", Barış Yayınları Fakülteler Kitabevi, 2006 (7. Ed.) Dawson B., Trapp R. G., "Basic & Clinical Biostatistics", McGraw-Hill, 2004 (4. Ed.) Material: Computer software related to data collection and analysis

Planned Learning Activities and Teaching Methods

Presentation, research, discussion

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FCG FINAL COURSE GRADE
3 FCGR FINAL COURSE GRADE MTE * 0.40 + FCG* 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST* 0.60


Further Notes About Assessment Methods

None

Assessment Criteria

Class participation, exams, homework.

Language of Instruction

Turkish

Course Policies and Rules

The policies and rules regarding the course will be announced at the beginning of each semester.

Contact Details for the Lecturer(s)

Necat Hepkon Sport Science Faculty
Seferihisar
mehmet.bayansalduz@deu.edu.tr
esra.kurkcuakgonul@deu.edu.tr

Office Hours

Meeting days vary according to the individual program prepared for each semester.
Students can reach the course coordinator on the day and time they want via e-mail.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 4 56
Preparation for midterm exam 1 14 14
Preparation for final exam 1 14 14
Midterm 1 1 1
Final 1 1 1
TOTAL WORKLOAD (hours) 128

Contribution of Learning Outcomes to Programme Outcomes

PO/LO
LO.1
LO.2
LO.3
LO.4
LO.5
LO.6
LO.7
LO.8

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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