Faculty of Education · Guidance and Psychological Counselling · Undergraduate
ECTS: 4 T+P+L: 2+0+0 Compulsory
Coordinator: Prof. Dr. İbrahim GÜNEY
Instructors: Prof. Dr. İbrahim GÜNEY
Course Objective
Teaches the collection, editing, conclusion and interpretation of experimental and observational data. Teaches statistical distributions and basic probability information.
Course Content
Basic concepts of statistics, data editing, descriptive statistics, probability calculations, probability distributions, parametric and nonparametric hypothesis tests, correlation and types, simple linear and multiple regression analysis, t tests, variance analysis and application of these statistics in package programs
Required Resources
Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2012). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları (Vol. 2). Ankara: Pegem Akademi.
Newbold, P. (2000) İşletme ve İktisat İçin İstatistik, Literatür Yayınları
Recommended Resources
Weekly lectures
Course notes
Course Learning Outcomes
- It identifies appropriate sampling methods for the research problem and evaluates the impact of sampling bias on research results.
- It explains the basic statistical concepts, data types, and measurement levels used in psychological counseling research.
- It summarizes and interprets RPD data using appropriate graphical and descriptive statistical methods.
- It explains the concepts of sampling variability, standard error, estimation, and confidence interval, and interprets them within the context of research findings.
- It explains the logic behind hypothesis testing; it evaluates p-value, confidence interval, Type I and Type II errors, and effect size together.
- The researcher selects, applies, and interprets the results of appropriate t-tests, ANOVA, correlation, and simple linear regression methods based on the research question and data structure.
- It evaluates basic statistical assumptions; identifies appropriate nonparametric alternatives when necessary; and interprets key reliability outcomes in scale data.
- It analyzes real psychological counseling data using appropriate statistical software and reports the findings in a critical, ethical, scientific, and professional manner.
Core Area Distribution
(14) Teacher Training and Education Science%60 (46) Mathematics and Statistics%40
Teaching Methods
ExpressionQuestion-AnswerExercise and PracticePresentationSimulationExperiment - Test / Lab/ Workshop / Field PracticeProblem Solving
Assessment & Evaluation
Testing (Essay / Tests: True-Falls, multiple-choice, short answer, matching)
ECTS / Workload
| Activity | Quantity | Duration (h) | Total Workload |
|---|---|---|---|
| Course Duration (Including Exam Week) | 14 | 2 | 28 |
| Out of Class Study Period | 14 | 2 | 28 |
| Midterm | 1 | 8 | 8 |
| Quiz | 0 | 0 | 0 |
| Assignment | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Final | 1 | 12 | 12 |
Course Schedule
| Week | Subject | Preparation |
|---|---|---|
| 1 | In RPD, data, statistical thinking, and the research process involve variables, population, and sample. | Reference book ch.1 |
| 2 | Measurement levels, data types, sampling methods, and sampling bias | Reference book ch.2 |
| 3 | Graphical and numerical representation of data; center, spread, distribution, and outliers. | Reference book ch.3 |
| 4 | Normal distribution, standardized scores, and the role of probability in statistical inference. | Reference Book ch.4 |
| 5 | Sampling variability, sampling distributions, and standard error. | Reference book ch.5 |
| 6 | Point estimation, confidence intervals, and the interpretation of statistical uncertainty. | Refrence book ch.6 |
| 7 | The logic behind hypothesis testing includes: H0/H1, significance level, p-value, Type I and Type II errors. | Reference book ch.7 |
| 8 | Midterm Exam | Ara Sınav |
| 9 | Interpretation of effect size, confidence interval, and p-value together. | Reference book ch.9 |
| 10 | t-tests: single sample, independent samples, and paired samples | Reference book ch.11 |
| 11 | Analysis of variance (ANOVA); group comparisons and effect size. | Reference book ch.12 |
| 12 | Correlation: Pearson and Spearman; direction, magnitude, and correlation-causality distinction. | Reference book ch.14 |
| 13 | Simple linear regression; interpretation of the model and coefficients in the context of psychological revision. | Reference book ch.15 |
| 14 | Integrated RPD data analysis: assumptions, nonparametric alternatives, introduction to reliability, software output, APA-style reporting, and ethics. | Reference book ch.16 |
| 15 | General Review | Reference book ch.17 |
| 16 | Final Sınavı | Final Sınavı |