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RPD 506 - Advanced Statistics and Applications

Graduate Education Institute · Psychological Counseling and Guidance · Master

ECTS: 7.5 T+P+L: 3+0+0 Departmental Elective
Coordinator: Prof. Dr. İbrahim GÜNEY

Course Objective

The aim is to enable graduate students to grasp advanced statistical methods necessary for the scientific research they will conduct, to select analyses appropriate for quantitative research designs, and to gain competence in data analysis, reporting, and interpretation using computer-based statistical programs (SPSS/AMOS/LISREL, etc.).

Course Content

Data types and hypothesis testing in scientific research; descriptive statistics and data visualization; parametric and non-parametric difference tests; correlational analyses (correlation and regression); validity and reliability analyses in scale development and adaptation processes; multivariate statistics (ANOVA, MANOVA); Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA); and an introduction to Structural Equation Modeling (SEM).

Required Resources

Demir, İ. ,(2020). SPSS ile istatistik rehberi. İstanbul: Efe Akademi Yayınları.

Özdemir, A.,Ş.,(2016) . Eğitim İstatistiği, Marmara Üniversitesi Yayımevi

Lecture Notes

Core Area Distribution

(14) Teacher Training and Education Science%50 (46) Mathematics and Statistics%50

Teaching Methods

ExpressionQuestion-AnswerExercise and PracticeGuided PracticeExperiment - Test / Lab/ Workshop / Field PracticeSelf studyProblem Solving

Assessment & Evaluation

HomeworkTesting (Essay / Tests: True-Falls, multiple-choice, short answer, matching)

ECTS / Workload

ActivityQuantityDuration (h)Total Workload
Course Duration (Including Exam Week)14342
Out of Class Study Period14684
Midterm12828
Quiz000
Assignment000
Practice000
Final13434

Course Schedule

WeekSubjectPreparation
1Introduction to Statistics and Data TypesReference book chapter
2Descriptive StatisticsReference book chapter
3Hypothesis Testing and AssumptionsReference book chapter
4Relationship Analysis I: CorrelationReference book chapter
5Relationship Analysis II: RegressionReference book chapter
6Parametric Difference Tests (T-Tests)Reference book chapter
7Analysis of Variance (ANOVA)Reference book chapter
8Midterm ExamMidterm Exam
9Nonparametric Tests and Chi-SquareReference book chapter
10Scale Adaptation: Reliability AnalysisReference book chapter
11Exploratory Factor Analysis (EFA)Reference book chapter
12Confirmatory Factor Analysis (CFA)Reference book chapter
13Structural Equation Modeling (SEM)Reference book chapter
14Multivariate Analyses (ANCOVA, MANCOVA)Reference book chapter
15Practical Review with SPSSReference book ch..
16Final SınavıFinal Sınavı