PSİ203

School of Humanities \ Psychology

4

7

Compulsory

English

-

Psychology Bachelor's Degree Program

Basic concepts of probability and statistics, measures
of central tendency and variability, some common
distributions (i. e. , normal, binomial, multinomial),
hypothesis testing, power, and effect size as well as
the basic statistical analysis techniques of chi-square,
correlation, and simple linear regression will be
covered. In addition to data entry and screening,
these techniques will be performed using two
statistical software of Statistical Package for the
Social Sciences (SPSS) and Jeffreys’ Amazing
Statistics Program (JASP). APA format for each
technique will be covered.

Howell, D. C. (2013). Statistical methods for
psychology (8th ed. ). Wadsworth Cengage
Learning.

Heiman, G. W. (2011). Basic statistics for the
behavioral sciences (6th ed. ). Wadsworth
Cengage Learning.

This course aims to provide students an introductory overview to the basic statistical concepts and procedures used in psychological research. Students will be trained about how to report results in APA format for each technique.

1. recognize and understand basic statistical concepts and processes,
2. analyze the strength and weaknesses of different measurement tools and statistical methods.

Week 1: Introduction to the course and syllabus + Probability
Week 2: Permutations and combinations + Bayes theorem
Week 3: Basic concepts of statistics LAB hour: Introduction to the course and entering data into SPSS and JASP
Week 4: Measures of central tendency + Measures of variability
Week 5: Review of the first five weeks LAB hour: Describing and exploring data using SPSS and JASP and reporting results in APA format
Week 6: Some common distributions: normal, binomial, multinomial -Midterm-
Week 7: Z scores LAB hour: Assessing whether data is normally distributed and detecting univariate outliers using z scores using SPSS
Week 8: Theory and errors in hypothesis testing + Power and effect size
Week 9: Categorical data and chi-square LAB hour: Chi-square tests using SPSS and JASP and reporting results in APA format
Week 10: Correlation LAB hour: SPSS and Correlation analysis using JASP and reporting results in APA format
Week 11: Simple linear regression LAB hour: Simple linear regression analysis using SPSS and JASP and reporting results in APA format
Week 12: Review of the last five weeks

• Participation 10 %
• Lab 10 %
• Midterm Exams 25 %
• Final 35 %
• Homework 20 %