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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Statistics In Social Sciences RPD203 Compulsory Master's degree 1 Spring 6

Name of Lecturer(s)

Associate Prof. Dr. Osman Nejat AKFIRAT
Associate Prof. Dr. Fatih KEZER

Learning Outcomes of the Course Unit

1) S/he can define basic concepts about statistics.
2) S/he can organize data.
3) S/he can analyze the distribution of the data.
4) S/he can interpret test and item scores.
5) S/he can interpret relations between variables.
6) S/he can interpret regression analysis.
7) S/he can interpret parametric techniques.
8) S/he can non-parametric techniques.
9) S/he can use exploratory factor analysis to examine the structure of the test.
10) S/he can reports the results obtained.
11) S/he can use the one of the right reliability estimation methods.

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7 8 9 10 11 12
Learning Outcomes
1 No relation No relation No relation No relation No relation No relation No relation No relation No relation High No relation No relation
2 No relation No relation No relation No relation No relation No relation No relation No relation No relation High No relation No relation
3 No relation No relation No relation No relation No relation No relation No relation No relation No relation High No relation No relation
4 No relation No relation No relation No relation No relation No relation No relation No relation No relation High No relation No relation
5 No relation No relation No relation No relation No relation No relation No relation No relation No relation High No relation No relation
6 No relation No relation No relation No relation No relation No relation No relation No relation No relation High No relation No relation
7 No relation No relation No relation No relation No relation No relation No relation No relation No relation High No relation No relation
8 No relation No relation No relation No relation No relation No relation No relation No relation No relation High No relation No relation
9 No relation No relation No relation No relation No relation No relation No relation No relation No relation High No relation No relation
10 No relation No relation No relation No relation No relation No relation No relation No relation No relation High No relation No relation
11 No relation No relation No relation No relation No relation No relation No relation No relation No relation High No relation No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

..

Course Contents

Definition of statisticsanditsimportance. Basic concepts. Organization of data. Descriptivestatistics. Correlation. Simple linearregressionandmultipleregression. IndependentSamples T Test. Mann Whitney U Test. PairedSample T test. WilcoxonSignedRank Test. ANOVA (Analysis of Variance) (OneWay/TwoWay). Kruskal Wallis Test. ANCOVA (Analysis of covariance). Exploratoryfactoranalysis..Chi-squared test. Reliabilityanalysis. Analysis of qualitativedata.

Recommended or Required Reading

Planned Learning Activities and Teaching Methods



Assessment Methods and Criteria

Contribution of Semester Studies to Course Grade

40%

 

Number

Percentage

Semester Studies

Midterm Examination

1

50%

Quiz

1

50%

 

Contribution of Final Examination to Course Grade

60%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required