Course Name Code Semester T+U Hours Credit ECTS
Data Analysis In Social Sciences TRE 510 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Compulsory
Course Coordinator Prof.Dr. HÜSEYİN ÇALIŞKAN
Course Lecturers
Course Assistants
Course Category
Course Objective The objective of the lesson is how to evaluate the data, how to organize our data processing process, learning the methods of data analysis.
Course Content Basic concepts related to statistics,Data collection and input, determine the frequency and percentage values of data,covariance, correlation,techniques of correlation, Statistical hypothesis and normal distribution,hypothesis testing,one sample test,dependent sample test, independent sample test,analysis of variance, Chi-square test.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Understands the basic concepts of statistics. Lecture, Question-Answer, Discussion, Oral Exam, Homework,
2 Recognize data collection tools of social science research, organize, categorize and make SPSS data entry Lecture, Question-Answer, Drilland Practice, Self Study, Oral Exam, Homework,
3 Calculates percentage, frequency, measures of central tendency and variation. Lecture, Question-Answer, Drilland Practice, Oral Exam, Homework,
4 Comments by calculating the correlation coefficient of the relationship between two variables. Lecture, Question-Answer, Discussion, Drilland Practice, Oral Exam, Homework,
5 Comments the results by using the regression analysis. Lecture, Question-Answer, Discussion, Drilland Practice, Oral Exam, Homework,
6 Counts steps of hypothesis testing to test a hypothesis Lecture, Question-Answer, Drilland Practice, Oral Exam, Homework,
7 The average of two samples of independent and dependent analyzes with the t test. Lecture, Question-Answer, Drilland Practice, Testing, Homework,
8 More than two sample averages compares by analyzes Anova Lecture, Question-Answer, Discussion, Oral Exam, Homework,
9 Analyzes the hypothesis by ANCOVA in research design with a pretest-posttest control group Lecture, Question-Answer, Discussion, Drilland Practice, Oral Exam, Homework,
10 When multiple independent samples, analyzes the average of dependent samples by using two-factor ANOVA. Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Oral Exam,
Week Course Topics Preliminary Preparation
1 Basic concepts related to statistics.
2 Data collection and input.
3 Determine the frequency and percentage values of data.
4 Determine the frequency and percentage values of data.
5 Covariance, correlation
6 Techniques of correlation
7 Statistical hypothesis and normal distribution
8 Hypothesis testing
9 One sample test
10 Dependent sample test
11 Independent sample test
12 Analysis of Variance
13 Chi-square test
14 General evaluation
Resources
Course Notes
Course Resources
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Ödev 50
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 15 15
Assignment 1 25 25
Final examination 1 20 20
Total Workload 156
Total Workload / 25 (Hours) 6.24
dersAKTSKredisi 6