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Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
ADVANCED STATISTICS for SOCIAL SCIENCES-Spring Semester3+038
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelThird Cycle (Doctorate Degree)
Course TypeRequired
Course CoordinatorAssist.Prof. Sena GÜME
Name of Lecturer(s)Assoc.Prof. Ferah ÇEKİCİ
Assistant(s)
AimThe aim of this course is to enable students to use structural equation models effectively.
Course ContentThis course contains; Organization and control of data ,Test of normality, homogenity an outliers,Non-parametric techniques,Regression analysis,Introduction to structural equational models-bas,Variables in SEM-Basic hypothesis,Simple mediation model,Simple mediation model,Multiple mediator models,Multiple mediator models,Serial mediators model,Moderator effect,Moderator effect,Path analysis with latent variables,Path analysis with latent variables,Parcelling in SEM.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Prepares raw data in a way suitable for analysis.12, 16, 6, 9E
Explains the terms of structural equation model.12, 16, 6, 9E
Runs regression analysis.12, 16, 6, 9E
Runs simple mediation model.12, 16, 6, 9E
Runs multiple mediator model12, 16, 6, 9E
Runs serial mediator model12, 16, 6, 9E
Teaching Methods:12: Problem Solving Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:E: Homework

Course Outline

OrderSubjectsPreliminary Work
1Organization and control of data Suggested readings and practices
2Test of normality, homogenity an outliersSuggested readings and practices
3Non-parametric techniquesSuggested readings and practices
3Regression analysisSuggested readings and practices
4Introduction to structural equational models-basSuggested readings and practices
5Variables in SEM-Basic hypothesisSuggested readings and practices
6Simple mediation modelSuggested readings and practices
7Simple mediation modelSuggested readings and practices
8Multiple mediator modelsSuggested readings and practices
9Multiple mediator modelsSuggested readings and practices
10Serial mediators modelSuggested readings and practices
10Moderator effectSuggested readings and practices
11Moderator effectSuggested readings and practices
12Path analysis with latent variablesSuggested readings and practices
13Path analysis with latent variablesSuggested readings and practices
14Parcelling in SEMSuggested readings and practices
Resources
Tabachnick, B. G. ve Fidell, L. S. (2001). Computer-Assisted Research Design and Analysis. MA: Allyn & Bacon. Akgül, A. (2003). Tıbbi Araştırmalarda İstatistiksel Analiz Teknikleri: SPSS Uygulamaları. İkinci baskı. Ankara: Yeni Mustafa Kitapevi. Alpar, R. (2003). Uygulamalı Çok Değişkenli İstatistiksel Yöntemlere Giriş 1. Ankara: Nobel. Alpar, R. (2006). Spor Bilimlerinde Uygulamalı İstatistik. Ankara: Nobel. Altıntaş, E. ve Kaya, N. (2001). Psikolojik Danışma ve Rehberlik Araştırmalarında Bilgisayar Kullanımı. Ankara: Nobel Yayın Dağıtım. Amerikan Eğitim Araştırmaları Birliği, Amerikan Psikoloji Birliği ve Eğitim Ölçümleri Uluslararası Konseyi. (1997). Eğitimde ve Psikolojide Ölçme Standartları. Ankara. Türk Psikologlar Derneği ve ÖSYM. Baykul, Y. (1994). Ölçekleme Teknikleri. Ankara. ÖSYM Yayınları. Bruning, J. L. Ve Kintz, B. L. (1993). İstatistik. Ankara. Gündoğan yayınları. Büyüköztürk, Ş. (2002). Sosyal Bilimler için Veri Analizi Elkitabı. Ankara: Pegem A Yayıncılık. Ergün, M. (1995). Bilimsel Araştırmalarda Bilgisayarla Uygulamalar. Ankara: Ocak Yayınları. Erkuş, A. (2003). Psikometri Üzerine Yazılar. Ankara: Türk Psikologlar Derneği Yayınları, No:24. Green, S. M., Salkind, N. J. & Akey, T. M. (2000). Using SPSS for Windows. Analyzing and Understanding Data. NJ: Prentice Hall Hair, J. F. Jr., Anderson, R. E., Tatham, R. L. And Black, W. C. (1995). Multivariate Data Analysis with Readings. Dördüncü baskı. New Jersey: Prentice-Hall. Kirk, R. E. (1982). Experimental Design: Procedures for the Behavioral Sciences. California: Brooks/Cole Publishing Kirk, R. E. (1982). Experimental Design: Procedures for the Behavioral Sciences. California: Brooks/Cole Publishing Company. Köklü, N. ve Büyüköztürk, Ş. (2000). Sosyal Bilimler için İstatistiğe Giriş. Ankara: Pegem A Yayınevi Tic. Ltd. Şti. Özçelik, D. A. (Tarihsiz). Test Hazırlama Kılavuzu. Ankara. ÖSYM Yayınları. Özdamar, K. (1999). Paket Programlarla İstatistiksel Veri Analizi-1. Eskişehir: Kaan Kitabevi. Özdamar, K. (1999). Paket Programlarla İstatistiksel Veri Analizi-1. Eskişehir: Kaan Kitabevi. Özgüven, İ. E. (1994). Psikolojik Testler. Ankara. Yeni Doğuş Matbaası. Tezbaşaran, A. A. (1997). Likert Tipi Ölçek Geliştirme Kılavuzu. Ankara. Türk Psikologlar Derneği. Stevens, J. (2002). Applied Multivariate Statistics for the Social Sciences. NJ: Lawrence Erlbaum Associates, Inc.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
To analyze the theoretical and practical information about the field of Psychological Counseling and Guidance with a scientific understanding.
X
2
Understands how to use the theoretical and practical knowledge in the field of Guidance and Psychological Counseling to strengthen the psychological well-being of clients within the scope of protective and preventive mental health.
X
3
To understand scientific research methods and techniques on the basis of scientific research ethics.
X
4
To plan and implement guidance and psychological counseling services (such as individual psychological counseling, group counseling, psychoeducation, individual guidance, group counseling, etc.) to increase the psychological resilience of clients and strengthen their psychological well-being.
X
5
To design and conduct researches that will produce solutions to current problems and needs in the field of Guidance and Psychological Counseling.
X
6
Guidance and Psychological Counseling determines the needs of the clients within the scope of the basic principles and techniques of practice in the specialization sub-areas (School counseling, marriage and family counseling, career counseling, mental health counseling), plans the interventions that will support their needs, applies and evaluates their effectiveness.
X
7
As a member of the profession serving in the eld of mental health and complying with the ethical principles and values of the profession, they fulfill the roles and duties expected of they on the basis of individual, family and social needs in the context of preventive and preventive mental health.
X
8
To supports social problems experienced at national and international level by designing projects and activities related to its eld within the framework of social responsibility.
X

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 50
Rate of Final Exam to Success 50
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours14342
Guided Problem Solving5420
Resolution of Homework Problems and Submission as a Report22040
Term Project10550
Presentation of Project / Seminar000
Quiz000
Midterm Exam13030
General Exam15050
Performance Task, Maintenance Plan000
Total Workload(Hour)232
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(232/30)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
ADVANCED STATISTICS for SOCIAL SCIENCES-Spring Semester3+038
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelThird Cycle (Doctorate Degree)
Course TypeRequired
Course CoordinatorAssist.Prof. Sena GÜME
Name of Lecturer(s)Assoc.Prof. Ferah ÇEKİCİ
Assistant(s)
AimThe aim of this course is to enable students to use structural equation models effectively.
Course ContentThis course contains; Organization and control of data ,Test of normality, homogenity an outliers,Non-parametric techniques,Regression analysis,Introduction to structural equational models-bas,Variables in SEM-Basic hypothesis,Simple mediation model,Simple mediation model,Multiple mediator models,Multiple mediator models,Serial mediators model,Moderator effect,Moderator effect,Path analysis with latent variables,Path analysis with latent variables,Parcelling in SEM.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Prepares raw data in a way suitable for analysis.12, 16, 6, 9E
Explains the terms of structural equation model.12, 16, 6, 9E
Runs regression analysis.12, 16, 6, 9E
Runs simple mediation model.12, 16, 6, 9E
Runs multiple mediator model12, 16, 6, 9E
Runs serial mediator model12, 16, 6, 9E
Teaching Methods:12: Problem Solving Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:E: Homework

Course Outline

OrderSubjectsPreliminary Work
1Organization and control of data Suggested readings and practices
2Test of normality, homogenity an outliersSuggested readings and practices
3Non-parametric techniquesSuggested readings and practices
3Regression analysisSuggested readings and practices
4Introduction to structural equational models-basSuggested readings and practices
5Variables in SEM-Basic hypothesisSuggested readings and practices
6Simple mediation modelSuggested readings and practices
7Simple mediation modelSuggested readings and practices
8Multiple mediator modelsSuggested readings and practices
9Multiple mediator modelsSuggested readings and practices
10Serial mediators modelSuggested readings and practices
10Moderator effectSuggested readings and practices
11Moderator effectSuggested readings and practices
12Path analysis with latent variablesSuggested readings and practices
13Path analysis with latent variablesSuggested readings and practices
14Parcelling in SEMSuggested readings and practices
Resources
Tabachnick, B. G. ve Fidell, L. S. (2001). Computer-Assisted Research Design and Analysis. MA: Allyn & Bacon. Akgül, A. (2003). Tıbbi Araştırmalarda İstatistiksel Analiz Teknikleri: SPSS Uygulamaları. İkinci baskı. Ankara: Yeni Mustafa Kitapevi. Alpar, R. (2003). Uygulamalı Çok Değişkenli İstatistiksel Yöntemlere Giriş 1. Ankara: Nobel. Alpar, R. (2006). Spor Bilimlerinde Uygulamalı İstatistik. Ankara: Nobel. Altıntaş, E. ve Kaya, N. (2001). Psikolojik Danışma ve Rehberlik Araştırmalarında Bilgisayar Kullanımı. Ankara: Nobel Yayın Dağıtım. Amerikan Eğitim Araştırmaları Birliği, Amerikan Psikoloji Birliği ve Eğitim Ölçümleri Uluslararası Konseyi. (1997). Eğitimde ve Psikolojide Ölçme Standartları. Ankara. Türk Psikologlar Derneği ve ÖSYM. Baykul, Y. (1994). Ölçekleme Teknikleri. Ankara. ÖSYM Yayınları. Bruning, J. L. Ve Kintz, B. L. (1993). İstatistik. Ankara. Gündoğan yayınları. Büyüköztürk, Ş. (2002). Sosyal Bilimler için Veri Analizi Elkitabı. Ankara: Pegem A Yayıncılık. Ergün, M. (1995). Bilimsel Araştırmalarda Bilgisayarla Uygulamalar. Ankara: Ocak Yayınları. Erkuş, A. (2003). Psikometri Üzerine Yazılar. Ankara: Türk Psikologlar Derneği Yayınları, No:24. Green, S. M., Salkind, N. J. & Akey, T. M. (2000). Using SPSS for Windows. Analyzing and Understanding Data. NJ: Prentice Hall Hair, J. F. Jr., Anderson, R. E., Tatham, R. L. And Black, W. C. (1995). Multivariate Data Analysis with Readings. Dördüncü baskı. New Jersey: Prentice-Hall. Kirk, R. E. (1982). Experimental Design: Procedures for the Behavioral Sciences. California: Brooks/Cole Publishing Kirk, R. E. (1982). Experimental Design: Procedures for the Behavioral Sciences. California: Brooks/Cole Publishing Company. Köklü, N. ve Büyüköztürk, Ş. (2000). Sosyal Bilimler için İstatistiğe Giriş. Ankara: Pegem A Yayınevi Tic. Ltd. Şti. Özçelik, D. A. (Tarihsiz). Test Hazırlama Kılavuzu. Ankara. ÖSYM Yayınları. Özdamar, K. (1999). Paket Programlarla İstatistiksel Veri Analizi-1. Eskişehir: Kaan Kitabevi. Özdamar, K. (1999). Paket Programlarla İstatistiksel Veri Analizi-1. Eskişehir: Kaan Kitabevi. Özgüven, İ. E. (1994). Psikolojik Testler. Ankara. Yeni Doğuş Matbaası. Tezbaşaran, A. A. (1997). Likert Tipi Ölçek Geliştirme Kılavuzu. Ankara. Türk Psikologlar Derneği. Stevens, J. (2002). Applied Multivariate Statistics for the Social Sciences. NJ: Lawrence Erlbaum Associates, Inc.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
To analyze the theoretical and practical information about the field of Psychological Counseling and Guidance with a scientific understanding.
X
2
Understands how to use the theoretical and practical knowledge in the field of Guidance and Psychological Counseling to strengthen the psychological well-being of clients within the scope of protective and preventive mental health.
X
3
To understand scientific research methods and techniques on the basis of scientific research ethics.
X
4
To plan and implement guidance and psychological counseling services (such as individual psychological counseling, group counseling, psychoeducation, individual guidance, group counseling, etc.) to increase the psychological resilience of clients and strengthen their psychological well-being.
X
5
To design and conduct researches that will produce solutions to current problems and needs in the field of Guidance and Psychological Counseling.
X
6
Guidance and Psychological Counseling determines the needs of the clients within the scope of the basic principles and techniques of practice in the specialization sub-areas (School counseling, marriage and family counseling, career counseling, mental health counseling), plans the interventions that will support their needs, applies and evaluates their effectiveness.
X
7
As a member of the profession serving in the eld of mental health and complying with the ethical principles and values of the profession, they fulfill the roles and duties expected of they on the basis of individual, family and social needs in the context of preventive and preventive mental health.
X
8
To supports social problems experienced at national and international level by designing projects and activities related to its eld within the framework of social responsibility.
X

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 50
Rate of Final Exam to Success 50
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 03/01/2024 - 14:42Son Güncelleme Tarihi: 03/01/2024 - 14:42