Course Name Code Semester T+U Hours Credit ECTS
Basic Analysis Techniques YNO 506 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Compulsory
Course Coordinator Doç.Dr. EMRAH ÖZSOY
Course Lecturers
Course Assistants Research Assistant Buket BORA
Course Category
Course Objective Its necessity, accurately analyzing data and interpret the results and evaluations of the examined case which is very important, scientific research stage. Addition to this, businesses are facing many problems and the solutions are waiting to be solved. Mostly, results of the analyzed data, problems can be solved. This lesson aim is to have students skills of getting the data correctly about examined case, and filterating them to be analyzed and using SPSS (Statistical Packages for the Social Sciences) with the suitable technique which is due to the aim and analyze the data and interpreting it. The student who take this lesson, have sufficiency of solving the examined phenomenon like a researcher or academician.
Course Content This lesson consists of, the concept of data and identify the data, choosing statistical analyses according to the research aim and in this context, descriptive statistics, tests of comparing two and more groups non-parametric tests correlation and regression analyses, factor analyses, cluster analyses which are multivariable statistical analyses.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Recognizes data properties obtained from research Lecture, Question-Answer, Testing, Homework,
2 An appropriate data collection tool is able to be composed in the resarch case. Lecture, Drilland Practice, Testing, Homework,
3 Best fit data can be prepared in the research case Lecture, Drilland Practice, Testing, Homework,
4 For propose and data properties, learner identifies most apropriate analysis technic for the research Lecture, Drilland Practice, Testing, Homework,
5 An appropriate analysis technic can be analysed for available data with SPSS Lecture, Drilland Practice, Testing, Homework,
6 Result of analysis can be interpreted and judged Lecture, Drilland Practice, Testing, Homework,
Week Course Topics Preliminary Preparation
1 The concept of data and attainmet data techniques
2 Choosing statistical technique for data analyses
3 Introduction to SPSS Package Programme
4 Data processes in SPSS
5 Data processes in SPSS
6 Descriptive Statistis
7 Test for comparing two groups
8 Variace Analyses
9 Midterm Exam
10 Non Parametric Tests
11 Non Parametric Tests
12 Linear Regression and Correlation Analyses
13 Factor Analyses
14 Cluster Analyses
Resources
Course Notes
Course Resources
Evaluation System
Semester Studies Contribution Rate
1. Ödev 100
Total 100
1. Yıl İçinin Başarıya 40
1. Final 60
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 2 32
Mid-terms 1 15 15
Assignment 1 40 40
Final examination 1 20 20
Total Workload 155
Total Workload / 25 (Hours) 6.2
dersAKTSKredisi 6