Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| RESEARCH METHODS and DATA ANALYSIS | - | Fall Semester | 3+0 | 3 | 8 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | Second Cycle (Master's Degree) |
| Course Type | Required |
| Course Coordinator | Assoc.Prof. Defne YABAŞ |
| Name of Lecturer(s) | |
| Assistant(s) | |
| Aim | The 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 Content | This 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,Introduction to statistical analysis programs , Pre-analysis data screening: data file compatibility, missing data, outliers, normality, linearity, homoskedasticity, homogeneity of variance.,Degree of relationship between variables: Bivariate r Multiple Sequential R Canonical R Multiway Frequency Analysis,Significance of Group Differences: One-Way ANOVA and t Test One-Way ANCOVA Factorial ANOVA Factorial ANCOVA ,Regression: Simple Linear Regression, Multiple Regression,Effect size and statistical power ,Writing Research Reports and Evaluating Research Reports,The course summary includes a general overview, discussion, questions, and closing. . |
| Course Learning Outcomes | Teaching Methods | Assessment Methods |
| Students learn scientific research methods and research stages | 16, 9 | |
| Students can formulate research questions | 16 | E, F |
| Selects data collection methods such as surveys, interviews, and experiments to answer research questions. | 10, 16, 6, 8 | F |
| Students apply statistical methods to analyze the data they collect | 10, 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
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Introduction/ 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. |
| 2 | Research steps, Research Design Introduction | Scanning articles and reviewing their sections. Homework 1 |
| 3 | Experimental and Correlational Design, Dependent Independent Variable, Mediator Variable (Mediator, Moderator) | Hayes Model's Booklet Scanning- Panel Discussion-Student Presentations. |
| 4 | Measurement Tools, Validity, Reliability, Scale Tag Preparation | Examining a scale related to research question |
| 5 | Research Questions, Preparation of Informed Consent, Application Process for Ethics Committee Approval | Researcher defines the specific problem that she aims to solve and clearly expresses this problem. Homework 2 |
| 6 | Sampling, Sampling with G* Power | Download gpower on their computer |
| 7 | Introduction to statistical analysis programs | Examining open-source programs like JAMOVI, JASP, etc. Downloading them to tablets or computers. |
| 8 | Pre-analysis data screening: data file compatibility, missing data, outliers, normality, linearity, homoskedasticity, homogeneity of variance. | Get a statistical analysis program ready on your laptop.Research project: Presentation of the introduction. |
| 9 | Degree of relationship between variables: Bivariate r Multiple Sequential R Canonical R Multiway Frequency Analysis | Review of central tendency measures, variability and decsriptives |
| 10 | Significance of Group Differences: One-Way ANOVA and t Test One-Way ANCOVA Factorial ANOVA Factorial ANCOVA | Practice. Research Project: Presentation of the method. |
| 11 | Regression: Simple Linear Regression, Multiple Regression | Practice |
| 12 | Effect size and statistical power | Research Project: Presentation of demographic and descriptive findings. |
| 13 | Writing Research Reports and Evaluating Research Reports | Preparing for the classroom discussion by reading the selected article. |
| 14 | The course summary includes a general overview, discussion, questions, and closing. |
| 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 | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 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 grow and develop with field applications of applied fields such as psychotherapy, clinical interview techniques, professional ethics and psychological assessment | 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 Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 50 | |
| Rate of Final Exam to Success | 50 | |
| Total | 100 | |
| ECTS / Workload Table | ||||||
| Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
| Course Hours | 16 | 3 | 48 | |||
| Guided Problem Solving | 3 | 10 | 30 | |||
| Resolution of Homework Problems and Submission as a Report | 2 | 60 | 120 | |||
| Term Project | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 1 | 30 | 30 | |||
| Quiz | 0 | 10 | 0 | |||
| Midterm Exam | 0 | 0 | 0 | |||
| General Exam | 0 | 0 | 0 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| 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
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| RESEARCH METHODS and DATA ANALYSIS | - | Fall Semester | 3+0 | 3 | 8 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | Second Cycle (Master's Degree) |
| Course Type | Required |
| Course Coordinator | Assoc.Prof. Defne YABAŞ |
| Name of Lecturer(s) | |
| Assistant(s) | |
| Aim | The 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 Content | This 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,Introduction to statistical analysis programs , Pre-analysis data screening: data file compatibility, missing data, outliers, normality, linearity, homoskedasticity, homogeneity of variance.,Degree of relationship between variables: Bivariate r Multiple Sequential R Canonical R Multiway Frequency Analysis,Significance of Group Differences: One-Way ANOVA and t Test One-Way ANCOVA Factorial ANOVA Factorial ANCOVA ,Regression: Simple Linear Regression, Multiple Regression,Effect size and statistical power ,Writing Research Reports and Evaluating Research Reports,The course summary includes a general overview, discussion, questions, and closing. . |
| Course Learning Outcomes | Teaching Methods | Assessment Methods |
| Students learn scientific research methods and research stages | 16, 9 | |
| Students can formulate research questions | 16 | E, F |
| Selects data collection methods such as surveys, interviews, and experiments to answer research questions. | 10, 16, 6, 8 | F |
| Students apply statistical methods to analyze the data they collect | 10, 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
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Introduction/ 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. |
| 2 | Research steps, Research Design Introduction | Scanning articles and reviewing their sections. Homework 1 |
| 3 | Experimental and Correlational Design, Dependent Independent Variable, Mediator Variable (Mediator, Moderator) | Hayes Model's Booklet Scanning- Panel Discussion-Student Presentations. |
| 4 | Measurement Tools, Validity, Reliability, Scale Tag Preparation | Examining a scale related to research question |
| 5 | Research Questions, Preparation of Informed Consent, Application Process for Ethics Committee Approval | Researcher defines the specific problem that she aims to solve and clearly expresses this problem. Homework 2 |
| 6 | Sampling, Sampling with G* Power | Download gpower on their computer |
| 7 | Introduction to statistical analysis programs | Examining open-source programs like JAMOVI, JASP, etc. Downloading them to tablets or computers. |
| 8 | Pre-analysis data screening: data file compatibility, missing data, outliers, normality, linearity, homoskedasticity, homogeneity of variance. | Get a statistical analysis program ready on your laptop.Research project: Presentation of the introduction. |
| 9 | Degree of relationship between variables: Bivariate r Multiple Sequential R Canonical R Multiway Frequency Analysis | Review of central tendency measures, variability and decsriptives |
| 10 | Significance of Group Differences: One-Way ANOVA and t Test One-Way ANCOVA Factorial ANOVA Factorial ANCOVA | Practice. Research Project: Presentation of the method. |
| 11 | Regression: Simple Linear Regression, Multiple Regression | Practice |
| 12 | Effect size and statistical power | Research Project: Presentation of demographic and descriptive findings. |
| 13 | Writing Research Reports and Evaluating Research Reports | Preparing for the classroom discussion by reading the selected article. |
| 14 | The course summary includes a general overview, discussion, questions, and closing. |
| 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 | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 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 grow and develop with field applications of applied fields such as psychotherapy, clinical interview techniques, professional ethics and psychological assessment | 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 Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 50 | |
| Rate of Final Exam to Success | 50 | |
| Total | 100 | |