PSYCHOLOGY | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | 1311002028 | ||||||||
Ders İsmi: | Research in Neuropsychology | ||||||||
Ders Yarıyılı: | Fall | ||||||||
Ders Kredileri: |
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Language of instruction: | TR | ||||||||
Ders Koşulu: | |||||||||
Ders İş Deneyimini Gerektiriyor mu?: | No | ||||||||
Type of course: | Bölüm Seçmeli | ||||||||
Course Level: |
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Mode of Delivery: | |||||||||
Course Coordinator : | Dr.Öğr.Üyesi Özgecan NURYÜZ | ||||||||
Course Lecturer(s): | |||||||||
Course Assistants: |
Course Objectives: | Course Description: This course provides an overview of research methods in neuropsychology. Students will learn about the different types of research designs used in neuropsychology, including experimental, quasi-experimental, and correlational designs. The course will also cover data collection and analysis methods, including neuroimaging techniques and statistical analyses. Students will gain practical experience in designing, conducting, and interpreting research in neuropsychology. Course Goals and Objectives: By the end of this course, students will be able to: Understand the different types of research designs used in neuropsychology Understand data collection and analysis methods in neuropsychology Gain practical experience in designing, conducting, and interpreting research in neuropsychology Critically evaluate research in neuropsychology |
Course Content: | Introduction to Research in Neuropsychology Course overview Scientific method and research design Ethical considerations in neuropsychological research Experiment Design Basic principles of experimental design Random assignment and control groups Internal and external validity Semi-Experimental Design Principles of quasi-experimental design Comparison groups and confounding variables Limitations of quasi-experimental designs Relational Design Principles of correlational design positive and negative correlations Limitations of correlational designs Data Collection Methods Behavioral methods, including standardized tests and observational methods Neuroimaging methods including fMRI and EEG Other methods, including genetic and pharmacological methods Data Analysis Methods Basic statistical concepts Descriptive and inferential statistics Common statistical tests used in neuropsychological research Interpretation of Research Findings Interpretation of statistical results Drawing conclusions from research findings presenting research findings Evaluating Research Critically Evaluation of the quality of research work Identifying the strengths and weaknesses of research studies Considering the implications of research findings |
The students who have succeeded in this course;
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Week | Subject | Related Preparation |
1) | Introduction to Research in Neuropsychology Course overview | Gurd, J. M. (2016). Neuropsychology: An Introduction. Routledge. |
2) | Scientific method and research design Ethical considerations in neuropsychological research | Gurd, J. M. (2016). Neuropsychology: An Introduction. Routledge. |
3) | Experiment Design Basic principles of experimental design | Gurd, J. M. (2016). Neuropsychology: An Introduction. Routledge. |
4) | Random assignment and control groups Internal and external validity | Gurd, J. M. (2016). Neuropsychology: An Introduction. Routledge. |
5) | Semi-Experimental Design Principles of quasi-experimental design | Gurd, J. M. (2016). Neuropsychology: An Introduction. Routledge. |
6) | Comparison groups and confounding variables Limitations of quasi-experimental designs | Gurd, J. M. (2016). Neuropsychology: An Introduction. Routledge. |
7) | Relational Design Principles of correlational design positive and negative correlations Limitations of correlational designs | Gurd, J. M. (2016). Neuropsychology: An Introduction. Routledge. |
8) | Mid-term | Gurd, J. M. (2016). Neuropsychology: An Introduction. Routledge. |
9) | Data Collection Methods Behavioral methods, including standardized tests and observational methods | Gurd, J. M. (2016). Neuropsychology: An Introduction. Routledge. |
10) | Neuroimaging methods including fMRI and EEG Other methods, including genetic and pharmacological methods | Gurd, J. M. (2016). Neuropsychology: An Introduction. Routledge. |
11) | Data Analysis Methods Basic statistical concepts | Gurd, J. M. (2016). Neuropsychology: An Introduction. Routledge. |
12) | Descriptive and inferential statistics Common statistical tests used in neuropsychological research Interpretation of Research Findings Interpretation of statistical results | Gurd, J. M. (2016). Neuropsychology: An Introduction. Routledge. |
13) | Drawing conclusions from research findings presenting research findings Evaluating Research Critically | Gurd, J. M. (2016). Neuropsychology: An Introduction. Routledge. |
14) | Evaluation of the quality of research work Identifying the strengths and weaknesses of research studies Considering the implications of research findings | Gurd, J. M. (2016). Neuropsychology: An Introduction. Routledge. |
15) | Final | Gurd, J. M. (2016). Neuropsychology: An Introduction. Routledge. |
Course Notes / Textbooks: | Gurd, J. M. (2016). Neuropsychology: An Introduction. Routledge. |
References: | Gurd, J. M. (2016). Neuropsychology: An Introduction. Routledge. |
Ders Öğrenme Kazanımları | 1 |
2 |
6 |
3 |
4 |
7 |
5 |
8 |
9 |
10 |
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Program Outcomes | ||||||||||
1) Knows the basic concepts and subfields of the science of psychology. Uses the knowledge based on theoretical practice in the field of study. | ||||||||||
2) Knows the basic research methods of the science of psychology, applies and interprets the data obtained. | ||||||||||
3) Our graduates are aware of their competence and competencies in their studies in the field. | ||||||||||
4) Our graduates continue their professional development by constantly following local and universal developments that will contribute to their professional life. | ||||||||||
5) Our graduates contribute to their field by having effective communication and problem solving skills. | ||||||||||
6) Our graduates know the ethical values of psychology science and respect differences. | ||||||||||
7) Our graduates know the social and universal effects of the field of study and its legal consequences. | ||||||||||
8) Our graduates are knowledgeable about other fields related to psychology. Uses this knowledge in collaborative work. | ||||||||||
9) Follows the English literature and basic resources in the field of psychology. |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Knows the basic concepts and subfields of the science of psychology. Uses the knowledge based on theoretical practice in the field of study. | |
2) | Knows the basic research methods of the science of psychology, applies and interprets the data obtained. | |
3) | Our graduates are aware of their competence and competencies in their studies in the field. | |
4) | Our graduates continue their professional development by constantly following local and universal developments that will contribute to their professional life. | |
5) | Our graduates contribute to their field by having effective communication and problem solving skills. | |
6) | Our graduates know the ethical values of psychology science and respect differences. | |
7) | Our graduates know the social and universal effects of the field of study and its legal consequences. | |
8) | Our graduates are knowledgeable about other fields related to psychology. Uses this knowledge in collaborative work. | |
9) | Follows the English literature and basic resources in the field of psychology. |
Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama) |
Semester Requirements | Number of Activities | Level of Contribution |
Midterms | 1 | % 40 |
Semester Final Exam | 1 | % 40 |
Quiz | 1 | % 20 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 60 | |
PERCENTAGE OF FINAL WORK | % 40 | |
total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 15 | 3 | 45 |
Study Hours Out of Class | 15 | 8 | 120 |
Midterms | 1 | 6 | 6 |
Final | 1 | 8 | 8 |
Total Workload | 179 |