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SECTION I: GENERAL INFORMATION ABOUT THE COURSE

Course Code Course Name Year Semester Theoretical Practical Credit ECTS
70313TATOZ-KLP0042 Statistics in Clinical Psychology 1 Spring 3 0 3 6
Course Type : Compulsory
Cycle: Master      TQF-HE:7. Master`s Degree      QF-EHEA:Second Cycle      EQF-LLL:7. Master`s Degree
Language of Instruction: Turkish
Prerequisities and Co-requisities: N/A
Mode of Delivery: Face to face
Name of Coordinator: Profesör Dr. MUSTAFA ŞÜKRÜ ŞENOCAK
Dersin Öğretim Eleman(lar)ı: Dr. Öğr. Üyesi BURÇİN ATASEVEN DOĞRU
Dersin Kategorisi: Field Specific

SECTION II: INTRODUCTION TO THE COURSE

Course Objectives & Content

Course Objectives: The course aims the understanding of theories and knowledges on research methods, application areas, experimental designs of statistical techniques in the the field of clinical psychology within the framework of scientific method principles. Also, it aims to gain knowledges and skills on executing statistical tests on the interface of SPSS (Statistics Package Program for Social Sciences), which is frequently used in social sciences, and description, interpretation, and reporting of the findings which obtained results by the statistical tests.
Course Content: This course contains that the general concepts and terminology of designing research in the field of clinical psychology, collecting and organising data, analysing them with appropriate statistical tests, and describing, interpreting, and reporting of the results obtained related theoretical information and the operational steps of the application of statistical analysis methods on the SPSS interface.

Course Learning Outcomes (CLOs)

Course Learning Outcomes (CLOs) are those describing the knowledge, skills and competencies that students are expected to achieve upon successful completion of the course. In this context, Course Learning Outcomes defined for this course unit are as follows:
Knowledge (Described as Theoritical and/or Factual Knowledge.)
  1) Suggests a hypothetical scientific research proposal and experimental model/design within the framework of scientific method principles for the studies of clinical psychology
  2) Knows the basic concepts of statistics and statistical analysis for clinical studies in the Psychology
  3) Develops knowledge and skills regarding the selection of appropriate statistical techniques for data analysis.
Skills (Describe as Cognitive and/or Practical Skills.)
Competences (Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)
  1) Knows the application steps of description of data and statistical comparisons of groups on SPSS interface.
  2) Interprets and reports the findings of statistical analysis on SPSS for clinical studies in psychology

Weekly Course Schedule

Week Subject
Materials Sharing *
Related Preparation Further Study
1) Introduction to Statistics in Psychology Introduction and Terminology 1 : For Scientific Researches Applications for suggesting research questions and hypothesis, descriptions of the variables, operational definitions.
2) Introduction and Terminology 2: Types of Variables (Moderator and Mediator Variables) and Measurements and Normal Distribution, Central Tendency Measures, Central Dispersion Measures.
3) Introduction and Terminology 3: Testing of Hypothesis (Processing Steps) and Decision
4) Statistical Power, Clinical Significance and Effect Size
5) Enter data, descriptive statistics, testing and decision of normal distribution, controlling of outliers, visual decision for normality (histogram graphs)
6) Choosing of True Statistical Test in the Clinic and Assumptions and Applications of the Statistical Tests
7) Introduction to the SPSS Program: Data Entry and Practical Ways
8) Mid-Term Exam
9) Statistical Comparisons Between Groups: T-test and ANOVA Models and Non-parametric Equivalents
10) Two Way ANOVA Model and ANCOVA Analysis
11) Multiple Regression Analysis: The Assumptions and Models
12) Analysis of Moderation and Mediation with the Multiple Regression Models in the SPSS
13) Simple Mediation and Moderation Analysis Using the SPSS Process Macro
14) Reporting of Statistical Analyses and Interpretation of Findings: Reading a a Scientific Paper
15) Final Exam
*These fields provides students with course materials for their pre- and further study before and after the course delivered.

Recommended or Required Reading & Other Learning Resources/Tools

Course Notes / Textbooks: Ders Sunuları ve 3 Ana Kaynak:
1. SPSS Kullanma Kılavuzu: SPSS ile Adım Adım Veri Analizi (2016), Julie PALLANT (Çev: Doç. Dr. Sibel BALCI, Yrd. Doç. Dr. Berat AHİ), Anı Yayıncılık.
2. Sosyal Bilimler İçin Veri Analizi El Kitabı (2017), Doç. Dr. Şener BÜYÜKÖZTÜRK, Pegem Akademi Yayıncılık.
3. Tabachnick, B.G., Fidell, L.S., 2013. Using Multivariate Statistics. 6th ed. Pearson, Boston, MA.
4. Ders Kapsamında Seçilmiş Bilimsel Araştırma ve Derleme Makaleleri
References: 1. SPSS Kullanma Kılavuzu: SPSS ile Adım Adım Veri Analizi (2016), Julie PALLANT (Çev: Doç. Dr. Sibel BALCI, Yrd. Doç. Dr. Berat AHİ), Anı Yayıncılık. (Temel Ders Kaynağı)
2. Çok Değişkenli İstatistiklerin Kullanımı (1. Baskı, 2015), Tabachnick, B.G., Fidell, L.S. (Çev. Edt.: Mustafa Baloğlu), Nobel Yayınları (Temel Ders Kaynağı).
3. Using Multivariate Statistics (2013), Tabachnick, B.G., Fidell, L.S., (6th ed.) Pearson, Boston, MA. (Temel Ders Kaynağı, İngilizce)
4. Deneysel Desenler- Ön-test-Son-test, Kontrol Grubu, Desen ve Veri Analizi, Şener BÜYÜKÖZTÜRK, Pegem Akademi Yayıncılık. (Yardımcı Kaynak)

SECTION III: RELATIONSHIP BETWEEN COURSE UNIT AND COURSE LEARNING OUTCOMES (CLOs)

(The matrix below shows how the course learning outcomes (CLOs) associates with programme learning outcomes (both KPLOs & SPLOs) and, if exist, the level of quantitative contribution to them.)

Relationship Between CLOs & PLOs

(KPLOs and SPLOs are the abbreviations for Key & Sub- Programme Learning Outcomes, respectively. )
CLOs/PLOs KPLO 1 KPLO 2 KPLO 3 KPLO 4 KPLO 5 KPLO 6 KPLO 7
1 2 3 4 5 6 1 2 3 4 1 2 1 2 3 1 2 3 4 2 6 1 2
CLO1
CLO2
CLO3
CLO4
CLO5

Level of Contribution of the Course to PLOs

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Programme Learning Outcomes Contribution Level (from 1 to 5)
1) Explains scientific evidence-based clinical case analysis and therapeutic practice approaches at an expert level. 2
2) Has the ability to transform theoretical knowledge into clinical practice. 2
3) Uses skills of evaluating scientific developments in the field, producing research questions, designing patterns with basic knowledge of research methodology. 5
4) Shares the knowledge and skills acquired in the field of Clinical Psychology through written and verbal communication.
5) Develops academic knowledge and skills in the clinical field (conducting clinical interviews and evaluations, developing case formulations, creating a treatment plan by determining therapy methods, intervening in a psychological crisis, etc.) based on scientific, ethical, cultural and social values.
6) Understands that learning will not be limited to the university education process, and adopts the principle of lifelong learning.
7) Takes initiative, applies, and solves problems independently in different situations encountered in clinical work. Seeks supervision if necessary.

SECTION IV: TEACHING-LEARNING & ASSESMENT-EVALUATION METHODS OF THE COURSE

Teaching & Learning Methods of the Course

(All teaching and learning methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)
Teaching and Learning Methods defined at the Programme Level
Teaching and Learning Methods Defined for the Course
Lectures
Discussion
Case Study
Problem Solving
Demonstration
Views
Laboratory
Reading
Homework
Project Preparation
Thesis Preparation
Peer Education
Seminar
Technical Visit
Course Conference
Brain Storming
Questions Answers
Individual and Group Work
Role Playing-Animation-Improvisation
Active Participation in Class

Assessment & Evaluation Methods of the Course

(All assessment and evaluation methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)
Aassessment and evaluation Methods defined at the Programme Level
Assessment and Evaluation Methods defined for the Course
Midterm
Presentation
Final Exam
Quiz
Report Evaluation
Homework Evaluation
Oral Exam
Thesis Defense
Jury Evaluation
Practice Exam
Evaluation of Implementation Training in the Workplace
Active Participation in Class
Participation in Discussions

Relationship Between CLOs & Teaching-Learning, Assesment-Evaluation Methods of the Course

(The matrix below shows the teaching-learning and assessment-evaluation methods designated for the course unit in relation to the course learning outcomes.)
LEARNING & TEACHING METHODS
COURSE LEARNING OUTCOMES
ASSESMENT & EVALUATION METHODS
CLO1 CLO2 CLO3 CLO4 CLO5
-Lectures -Midterm
-Discussion -Presentation
-Case Study -Final Exam
-Problem Solving -Quiz
-Demonstration -Report Evaluation
-Views -Homework Evaluation
-Laboratory -Oral Exam
-Reading -Thesis Defense
-Homework -Jury Evaluation
-Project Preparation -Practice Exam
-Thesis Preparation -Evaluation of Implementation Training in the Workplace
-Peer Education -Active Participation in Class
-Seminar - Participation in Discussions
-Technical Visit
-Course Conference
-Brain Storming
-Questions Answers
-Individual and Group Work
-Role Playing-Animation-Improvisation
-Active Participation in Class

Contribution of Assesment & Evalution Activities to Final Grade of the Course

Measurement and Evaluation Methods # of practice per semester Level of Contribution
Quizzes 2 % 10.00
Midterms 1 % 40.00
Semester Final Exam 1 % 50.00
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

SECTION V: WORKLOAD & ECTS CREDITS ALLOCATED FOR THE COURSE

WORKLOAD OF TEACHING & LEARNING ACTIVITIES
Teaching & Learning Activities # of Activities per semester Total Workload
Course 14 42
Laboratory
Application 3 9
Special Course Internship (Work Placement)
Field Work
Study Hours Out of Class 14 28
Presentations / Seminar
Project
Homework Assignments 2 16
Total Workload of Teaching & Learning Activities - 95
WORKLOAD OF ASSESMENT & EVALUATION ACTIVITIES
Assesment & Evaluation Activities # of Activities per semester Total Workload
Quizzes
Midterms 1 22
Semester Final Exam 1 36
Total Workload of Assesment & Evaluation Activities - 58
TOTAL WORKLOAD (Teaching & Learning + Assesment & Evaluation Activities) 153
ECTS CREDITS OF THE COURSE (Total Workload/25.5 h) 6