Information Package / Course Catalogue - Adnan Menderes University

General Information Unit Staff Academic Information Programme Outcomes Course Structure Diagram Contact Information

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Statistics in Social Sciences

Course Code	: ÇEİ521
Course Type	: Area Elective
Couse Group	: Second Cycle (Master's Degree)
Education Language	: Turkish
Work Placement	: N/A

Theory	: 3
Prt.	: 0
Credit	: 3
Lab	: 0
ECTS	: 5

Objectives of the Course

To provide students with the ability to perform statistical analysis and to use the statistical package program (SPSS) for social sciences effectively.

Course Content

In this course, introduction of SPSS program, organization of data, descriptive statistics, basic probability distributions, confidence interval and hypothesis tests, t tests for independent and dependent samples, analysis of variance, correlation and regression analysis, non-parametric tests, multivariate analysis methods (factor analysis, cluster analysis, discriminant analysis), reliability analysis, analysis of survey data will be covered.

Name of Lecturer(s)

Lec. Zümre ÖZDEMİR GÜLER

Learning Outcomes

1.	Students learn the basic principles of statistical analysis methods and how to use the SPSS program.
2.	Develops students' ability to think statistically and analyze statistical data accurately
3.	Students develop their ability to collect, organize and analyze real-world data.
4.	Students gain the ability to apply various statistical analysis techniques (such as t-test, regression analysis, factor analysis, logistic regression, etc.).
5.	Students' ability to interpret and report statistical results develops.
6.	Students are provided with an awareness of how statistical analysis is used in the business world and it is ensured that they integrate these skills into professional practice.
7.	Students' critical thinking and problem solving skills are developed through statistical analysis.
8.	Students are made aware of the reliability and limitations of statistical analysis.

Recommended or Required Reading

1.	Şeref KALAYCI (2016) – SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri, Asil Yayınevi.
2.	Beril SİPAHİ, Serra YURTKORU, Murat ÇİNKO (2008) – Sosyal Bilimlerde SPSS’le Veri Analizi, Beta Yayınevi.
3.	Andy Field, J. Miles, Z. Field (2012) - Discovering Statistics Using SPSS, SAGE Publications
4.	Tabachnick, B.G., Fidell, L.S. (2019)-Using Multivariate Statistics, Pearson.

Weekly Detailed Course Contents

Week 1 - Theoretical

Introduction to SPSS and Organizing Data

Week 2 - Theoretical

Descriptive Statistics and Visualization

Week 3 - Theoretical

Probability and Probability Distributions

Week 4 - Theoretical

Hypothesis Tests and Confidence Intervals

Week 5 - Theoretical

Single-Sample and Independent Two-Sample T-Tests

Week 6 - Theoretical

Dependent Two-Sample T-Test and Analysis of Variance

Week 7 - Theoretical

Correlation and Regression Analysis

Week 8 - Theoretical

Correlation and Regression Analysis

Week 9 - Theoretical

Non-Parametric Tests

Week 10 - Theoretical

Factor Analysis

Week 11 - Theoretical

Cluster Analysis

Week 12 - Theoretical

Discriminant Analysis

Week 13 - Theoretical

Multidimensional Scaling, Reliability Analysis

Week 14 - Theoretical

Analysis of Survey Data

Assessment Methods and Criteria

Type of Assessment	Count	Percent
Midterm Examination	1	%30
Final Examination	1	%70

Workload Calculation

Activities	Count	Preparation	Time	Total Work Load (hours)
Lecture - Theory	14	2	3	70
Midterm Examination	1	20	1	21
Final Examination	1	30	1	31
TOTAL WORKLOAD (hours)				122

Contribution of Learning Outcomes to Programme Outcomes

	PÇ-1	PÇ-2	PÇ-3	PÇ-4	PÇ-5	PÇ-6	PÇ-7	PÇ-8	PÇ-9	PÇ-10	PÇ-11	PÇ-12
OÇ-1	4	4	4	4	4	4	4	4	4	4	4	4
OÇ-2	4	4	4	4	4	4	4	4	4	4	4	4
OÇ-3	4	4	4	4	4	4	4	4	4	4	4	4
OÇ-4	4	4	4	4	4	4	4	4	4	4	4	4
OÇ-5	4	4	4	4	4	4	4	4	4	4	4	4
OÇ-6	4	4	4	4	4	4	4	4	4	4	4	4
OÇ-7	4	4	4	4	4	4	4	4	4	4	4	4
OÇ-8	4	4	4	4	4	4	4	4	4	4	4	4

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