1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF SCIENCE AND LETTERS
  3. SOCIOLOGY DEPARTMENT
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
SOS 463DATA ANALYSIS AND SPSS IN SOCIAL SCIENCES2 + 07th Semester3,5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective In this course students for data processing and analysis of basic information is intended to be given. The main goal of this course, data entry and analysis of the SPSS package program is used and how data analysis has been applied sociological research of how to teach.
Course Content This course for students, data entry and analysis for the statistical package for social science programs (eg SPSS) is used and how data analysis were applied sociological research,theoretical and practical informations. The course focuses on basic statistical concepts and methods, primarily to create data files, data coding, entry into, or will focus on. Only the data SPSS program, how to transfer over, but also of data to create and code in the very common mistakes, how can be avoided on the will. Second, this context, students, data for error checking to do, data conversion, tagging and measuring levels of the decision may give. In the third, with the help of computers, using simple statistical techniques, analysis, interpretation and presentation to a level you can make for the future.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1teach making investigation design
2teaches you to establish a functional hypothesis.
3Improves the ability of making the observations.
4Teaches the techniques of sampling.
5Develops the ability to create SPSS data
6SPSS program teaches you to enter data
7SPSS gives the ability of the frequency and cross tables.
8SPSS program teaches you to convert the findings obtained from the frequency and cross-table data.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14
LO 0011  2        3 
LO 002   3        4 
LO 00312    3 4   4 
LO 004           45 
LO 00512   3  45324 
LO 00612 4     3  5 
LO 007   4     2 45 
Sub Total46 13 33 81031030 
Contribution11020000110140

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14228
Hours for off-the-classroom study (Pre-study, practice)22142
Mid-terms11111
Final examination11010
Total Work Load

ECTS Credit of the Course





91

3,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2011-2012 Summer1SERKAN GÜZEL
Details 2011-2012 Fall2SERKAN GÜZEL


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
SOS 463 DATA ANALYSIS AND SPSS IN SOCIAL SCIENCES 2 + 0 1 Turkish 2011-2012 Summer
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. SERKAN GÜZEL sguzel@pau.edu.tr İTBF A0212 İTBF A0213 %
Goals In this course students for data processing and analysis of basic information is intended to be given. The main goal of this course, data entry and analysis of the SPSS package program is used and how data analysis has been applied sociological research of how to teach.
Content This course for students, data entry and analysis for the statistical package for social science programs (eg SPSS) is used and how data analysis were applied sociological research,theoretical and practical informations. The course focuses on basic statistical concepts and methods, primarily to create data files, data coding, entry into, or will focus on. Only the data SPSS program, how to transfer over, but also of data to create and code in the very common mistakes, how can be avoided on the will. Second, this context, students, data for error checking to do, data conversion, tagging and measuring levels of the decision may give. In the third, with the help of computers, using simple statistical techniques, analysis, interpretation and presentation to a level you can make for the future.
Topics
WeeksTopics
1 forming a research design
2 forming a functional hypothesis
3 observation and its types
4 principles of forming an interview
5
6 interview and its types
7 types of questions tkae lace in an interview
8 sample, sampling technic
9 creating data in SPSS program
10 to access data come from field into SPSS program
11 examination week
12 achieving frequencies ad crosstab tables via SPSS program
13 reading frequenciesand crosstabs tables attained by SPSS program
14 to convert datas f frequencies and crosstab tables that obtained from SPSS program into findings
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes