Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Use of Statistics in Research on Psychology of Religion FDB 541 Turkish Compulsory 3 + 0 3.0 6.0
Prerequisite Courses
Course Level Graduate
Mode of delivery Ders Seminer tarzı verilir, öğrenciye ödev ve seminer çalışması yaptırılır
Course Coordinator Arş. Gör. ÖMER SİNA TEKİN
Instructor(s)
Goals The objective of this course is to provide students with an applied understanding of the basic statistical concepts, data analysis methods, and the use of statistical software (e.g., SPSS, JAMOVI) used in quantitative research within the psychology of religion. It aims to equip students with the skills to accurately analyze research data, interpret findings, and report them according to scientific standards.
Course Content This course covers the role of statistics in social sciences, particularly in the psychology of religion. Topics include data types, measures of central tendency and dispersion, normal distribution, hypothesis testing (t-test, ANOVA), correlation, simple and multiple regression analysis, factor analysis (EFA), and reliability analysis. The theoretical logic of each analysis method is explained, and practical applications are conducted using statistical software with sample datasets, followed by an examination of the reporting processes in APA format.
Learning Outcomes
# Öğrenme Kazanımı
1 Explains the basic statistical concepts and types of analysis used in psychology of religion research
2 Selects the appropriate statistical analysis method corresponding to the research question, level of measurement, and hypotheses.
3 Conducts various quantitative data analyses (e.g., t-test, ANOVA, correlation) using statistical software such as SPSS.
4 Reads and interprets the statistical findings obtained from data analysis according to scientific criteria.
5 Reports the results of statistical analysis in accordance with academic rules, specifically APA formatting guidelines.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Introduction to Statistics: Basic Concepts, Variables, and Levels of Measurement Research, Other Activities
2. Week Data Preparation, Descriptive Statistics, and Data Visualization Research, Other Activities
3. Week Normal Distribution, Standard Scores (Z and T), and Tests of Normality Preparation, After Class Study, Research
4. Week The Logic of Hypothesis Testing and the Distinction Between Parametric/Non-Parametric Tests Research, Other Activities
5. Week Independent Samples t-test and Mann-Whitney U Test Research, Other Activities
6. Week Paired Samples t-test and Wilcoxon Signed-Rank Test Preparation, After Class Study, Research
7. Week One-Way Analysis of Variance (ANOVA) and Kruskal-Wallis H Test Research
8. Week Correlation Analysis: Pearson, Spearman, and Partial Correlation Preparation, After Class Study, Research
9. Week Simple and Multiple Linear Regression Analysis Research, Other Activities
10. Week Analizleri (Non-Parametric Statistics: Chi-Square Analyses Research, Other Activities
11. Week Introduction to the Scale Development Process and Reliability (Item) Analysis Preparation, After Class Study, Research
12. Week Application and Interpretation of Exploratory Factor Analysis - EFA Research, Other Activities
13. Week Examining Statistical Findings in Psychology of Religion Articles Research, Other Activities
14. Week General evaluation of the course topics and Reporting in APA Format Other Activities
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 PQ1: To develop his knowledge in the field of Philosophy and Religious Studies at the level of expertise, based on the information he obtained during his undergraduate period.
2 PQ2: To gain the ability to act according to the awareness of individual and social responsibility by complying with the rules of professional ethics in the process from the selection of the subject in research on Philosophy and Religious Studies to the conclusion of the research and its presentation to the public.
3 PQ3: To learn basic knowledge and approaches in the field of Philosophy and Religious Studies and to acquire the ability to use the knowledge of the field for the benefit of individuals and society.
4 PQ4: In addition to historical information about the field of Philosophy and Religious Studies, to gain the ability to follow current developments in the field and evaluate it in terms of our country's conditions.
5 PQ5: To have the ability to evaluate and interpret the knowledge and skills produced in the field of Philosophy and Religious Studies with a critical approach.
6 PQ6: To have the ability to use the notion gained in the field of Philosophy and Religious Studies in the field of religious services and religious education.
7 PQ7: To gain the ability to access information sources related to the academic field, examine and evaluate them, and use them to solve the problems they address.
8 PQ8: To have the ability to offer solutions to individual and social problems encountered today, using the Philosophy and Religious Studies Notion.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5
PY1 5 5 5 5 5
PY2 4 4 4 4 4
PY3 3 3 3 3 3
PY4 4 4 4 4 4
PY5 4 4 4 4 4
PY6 4 4 4 4 4
PY7 4 4 4 4 4
PY8 5 5 5 5 5
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Büyüköztürk, Ş. (2020). Manual of data analysis for social sciences. Pegem Akademi.
  • Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). SAGE Publications.
  • Pallant, J. (2020). SPSS survival manual: A step by step guide to data analysis using IBM SPSS (7th ed.). McGraw-Hill Education.
  • Tabachnick, B. G., & Fidell, L. S. (2019). Using multivariate statistics (7th ed.). Pearson
  • Gürbüz, S., & Şahin, F. (2018). Research methods in social sciences: Data analysis and interpretation. Seçkin Yayıncılık
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 2 28
Ders Dışı
Homework 6 6 36
Preparation, After Class Study 6 6 36
Research 6 6 36
Interview 1 2 2
Presentation (Preparation) 2 3 6
Other Activities 1 3 3
Sınavlar
Midterm 1 2 2
Homework 1 2 2
Final 1 2 2
Total Workload 153
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 6.0