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Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
RESEARCH METHODS and DATA ANALYSIS-Fall Semester3+038
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelSecond Cycle (Master's Degree)
Course TypeRequired
Course CoordinatorAssist.Prof. Ela ARI
Name of Lecturer(s)Assist.Prof. Ela ARI
Assistant(s)
AimThe aim of this course is to learn how to write a proposal by choosing a relevant research topic, develop a research model suitable for its theoretical framework, and analyze and report research data.
Course ContentThis course contains; Introduction/ What is SCIENCE? Why do we do research?,Research steps, Research Design Introduction,Experimental and Correlational Design, Dependent Independent Variable, Mediator Variable (Mediator, Moderator),Measurement Tools, Validity, Reliability, Scale Tag Preparation,Research Questions, Preparation of Informed Consent, Application Process for Ethics Committee Approval,Sampling, Sampling with G* Power,Writing Hypotheses, Creating APA-style references Preparing Online Scale- Google Form,Spss Data Entry,SPSS-Organization of Data,Missing Data Analysis with SPSS
Normality ,Analysis of demographic data
Writing Descriptive Statistics,Difference Tests: T-Test and ANOVA,Relational Designs: Correlation,Discussion and Abstract Writing.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Students learn scientific research methods and research stages16, 9
Students can formulate research questions16E, F
Selects data collection methods such as surveys, interviews, and experiments to answer research questions.10, 16, 6, 8F
Students apply statistical methods to analyze the data they collect10, 11, 14, 16, 6, 8
Students act in accordance with ethical rules during the research process and collect data accurately.F
Students effectively report and present research findings.F
Students evaluate and interpret the information they encounter during the research process from a critical perspective.10, 16
F
Teaching Methods:10: Discussion Method, 11: Demonstration Method, 14: Self Study Method, 16: Question - Answer Technique, 6: Experiential Learning, 8: Flipped Classroom Learning, 9: Lecture Method
Assessment Methods:E: Homework, F: Project Task

Course Outline

OrderSubjectsPreliminary Work
1Introduction/ What is SCIENCE? Why do we do research? By examining the existing literature, efforts are being made to do more in the relevant field. This allows assessment of structural specificity based on the components present.
2Research steps, Research Design IntroductionScanning articles and reviewing their sections
3Experimental and Correlational Design, Dependent Independent Variable, Mediator Variable (Mediator, Moderator)Hayes Model's Booklet Scanning
4Measurement Tools, Validity, Reliability, Scale Tag PreparationExamining a scale related to research question
5Research Questions, Preparation of Informed Consent, Application Process for Ethics Committee ApprovalResearcher defines the specific problem that she aims to solve and clearly expresses this problem
6Sampling, Sampling with G* PowerDownload gpower on their computer
7Writing Hypotheses, Creating APA-style references Preparing Online Scale- Google Form Review of APA 7, and Google Forms
8Spss Data EntryGet SPSS ready on your laptop
9SPSS-Organization of DataReview of central tendency measures, variability and decsriptives
10Missing Data Analysis with SPSS
Normality
SPSS Practice
11Analysis of demographic data
Writing Descriptive Statistics
SPSS Practice
12Difference Tests: T-Test and ANOVASPSS Practice
13Relational Designs: CorrelationSPSS Practice
14Discussion and Abstract WritingReading articles of interest and choosing one to rewrite the abstract
Resources
Proctor, R. W., & Capaldi, E. J. (2006). Why science matters: Understanding the methods of psychological research. Malden. Barker, C., Pistrang, N., & Elliott, R. (2015). Research methods in clinical psychology: An introduction for students and practitioners. John Wiley & Sons.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Based on their undergraduate level competencies, to be able to develop and deepen their knowledge at the level of expertise in Clinical Psychology, and to comprehend the field's interactions with other disciplines
X
2
To be able to use the theoretical and practical knowledge at the level of expertise acquired in Clinical Psychology, to interpret the acquired knowledge by integrating it with knowledge of different disciplines, and to create new knowledge
X
3
To be able to independently conduct a work that requires expertise, to develop new strategic approaches to solve problems encountered in field applications, and to take responsibility in generating solutions
X
4
To be able to adopt a critical approach in evaluating the knowledge and skills acquired in Clinical Psychology and in directing their learning process
X
5
To be able to transfer current developments and their own studies in the field to the groups in and out of the field in written, verbal and visual forms by supporting them with quantitative and qualitative data
X
6
To be able to teach and care about social, cultural and ethical values in the stages of collection, interpretation, application and announcement of data, and to use the acquired knowledge of the field and the problem solving and / or application skills in interdisciplinary studies
X

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 55
Rate of Final Exam to Success 45
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours16348
Guided Problem Solving31030
Resolution of Homework Problems and Submission as a Report260120
Term Project000
Presentation of Project / Seminar13030
Quiz0100
Midterm Exam000
General Exam000
Performance Task, Maintenance Plan000
Total Workload(Hour)228
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(228/30)8
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
RESEARCH METHODS and DATA ANALYSIS-Fall Semester3+038
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelSecond Cycle (Master's Degree)
Course TypeRequired
Course CoordinatorAssist.Prof. Ela ARI
Name of Lecturer(s)Assist.Prof. Ela ARI
Assistant(s)
AimThe aim of this course is to learn how to write a proposal by choosing a relevant research topic, develop a research model suitable for its theoretical framework, and analyze and report research data.
Course ContentThis course contains; Introduction/ What is SCIENCE? Why do we do research?,Research steps, Research Design Introduction,Experimental and Correlational Design, Dependent Independent Variable, Mediator Variable (Mediator, Moderator),Measurement Tools, Validity, Reliability, Scale Tag Preparation,Research Questions, Preparation of Informed Consent, Application Process for Ethics Committee Approval,Sampling, Sampling with G* Power,Writing Hypotheses, Creating APA-style references Preparing Online Scale- Google Form,Spss Data Entry,SPSS-Organization of Data,Missing Data Analysis with SPSS
Normality ,Analysis of demographic data
Writing Descriptive Statistics,Difference Tests: T-Test and ANOVA,Relational Designs: Correlation,Discussion and Abstract Writing.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Students learn scientific research methods and research stages16, 9
Students can formulate research questions16E, F
Selects data collection methods such as surveys, interviews, and experiments to answer research questions.10, 16, 6, 8F
Students apply statistical methods to analyze the data they collect10, 11, 14, 16, 6, 8
Students act in accordance with ethical rules during the research process and collect data accurately.F
Students effectively report and present research findings.F
Students evaluate and interpret the information they encounter during the research process from a critical perspective.10, 16
F
Teaching Methods:10: Discussion Method, 11: Demonstration Method, 14: Self Study Method, 16: Question - Answer Technique, 6: Experiential Learning, 8: Flipped Classroom Learning, 9: Lecture Method
Assessment Methods:E: Homework, F: Project Task

Course Outline

OrderSubjectsPreliminary Work
1Introduction/ What is SCIENCE? Why do we do research? By examining the existing literature, efforts are being made to do more in the relevant field. This allows assessment of structural specificity based on the components present.
2Research steps, Research Design IntroductionScanning articles and reviewing their sections
3Experimental and Correlational Design, Dependent Independent Variable, Mediator Variable (Mediator, Moderator)Hayes Model's Booklet Scanning
4Measurement Tools, Validity, Reliability, Scale Tag PreparationExamining a scale related to research question
5Research Questions, Preparation of Informed Consent, Application Process for Ethics Committee ApprovalResearcher defines the specific problem that she aims to solve and clearly expresses this problem
6Sampling, Sampling with G* PowerDownload gpower on their computer
7Writing Hypotheses, Creating APA-style references Preparing Online Scale- Google Form Review of APA 7, and Google Forms
8Spss Data EntryGet SPSS ready on your laptop
9SPSS-Organization of DataReview of central tendency measures, variability and decsriptives
10Missing Data Analysis with SPSS
Normality
SPSS Practice
11Analysis of demographic data
Writing Descriptive Statistics
SPSS Practice
12Difference Tests: T-Test and ANOVASPSS Practice
13Relational Designs: CorrelationSPSS Practice
14Discussion and Abstract WritingReading articles of interest and choosing one to rewrite the abstract
Resources
Proctor, R. W., & Capaldi, E. J. (2006). Why science matters: Understanding the methods of psychological research. Malden. Barker, C., Pistrang, N., & Elliott, R. (2015). Research methods in clinical psychology: An introduction for students and practitioners. John Wiley & Sons.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Based on their undergraduate level competencies, to be able to develop and deepen their knowledge at the level of expertise in Clinical Psychology, and to comprehend the field's interactions with other disciplines
X
2
To be able to use the theoretical and practical knowledge at the level of expertise acquired in Clinical Psychology, to interpret the acquired knowledge by integrating it with knowledge of different disciplines, and to create new knowledge
X
3
To be able to independently conduct a work that requires expertise, to develop new strategic approaches to solve problems encountered in field applications, and to take responsibility in generating solutions
X
4
To be able to adopt a critical approach in evaluating the knowledge and skills acquired in Clinical Psychology and in directing their learning process
X
5
To be able to transfer current developments and their own studies in the field to the groups in and out of the field in written, verbal and visual forms by supporting them with quantitative and qualitative data
X
6
To be able to teach and care about social, cultural and ethical values in the stages of collection, interpretation, application and announcement of data, and to use the acquired knowledge of the field and the problem solving and / or application skills in interdisciplinary studies
X

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 55
Rate of Final Exam to Success 45
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 28/11/2023 - 01:42Son Güncelleme Tarihi: 28/11/2023 - 01:43