Course Contents

Course Code and Title: SOS 320-Data Proccessing and Analysis

Course Type: Elective
Course Level: Undergraduate
Year and Semester: Third year, Spring
Course Length: One semesters, 2 hrs lectures, -3 practice etc., total 5 hrs per week
Prerequisite(s): None
Language of Instruction: Turkish
Course Credits: 2 3 3
ECTS Credits: 6
Lecturer: Dr. Birsen Sahin
Course Contents:  This course is designed to give students a theoretical and practical   knowledge of how to use statistical package programmes for the social sciences (for example SPSS for windows) for data entry and analysis, and how data analysis fits into sociologic research. The course covers basic statistical concepts and methodologies; first, setting up data files, coding data, entering or importing data will be discussed. The focus is on not only how get data into SPSS but also how to avoid common pitAutumns of data setup and coding. Second, students will be able to; check data for errors, recode variables, define missing values, add value labels and decision levels of measurement. Third, students will be able to apply simple statistical techniques to analyzing, interpreting, and presenting the results with the aid of a computer.
Course Objectives: This course aims at teaching and practice the students the basic knowledge of data processing and analysis.
Teaching Method: Lectures, practices, classroom discussions and student presentations.  
Assessment Method: Written exam (two midterms (25 %) and one final (50 %), presentation (25 puan)
Reading list:
George, Darren, Paul Mallery, SPSS for Windows Step by Step, A Simple Guide and Reference 10.0 Update, Abacon, Third Edition, USA.
Akgül, Aziz, Osman Çevik. (2003). İstatistiksel Analiz Teknikleri: SPSS'de İşletme Yönetimi Uygulamaları, Ankara: Emek Ofset.
Büyüköztürk, Şener. (2002). Sosyal Bilimler İçin Veri Analizi El Kitabı: İstatistik, Araştırma Deseni SPSS Uygulamaları ve Yorum, Ankara: Pagem Yayıncılık.

Hacettepe Üniversitesi Sosyoloji Bölümü
06800 Beytepe Ankara
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