Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| STATISTICS for BEHAVIORAL SCIENCES II | - | Spring Semester | 3+0 | 3 | 5 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Required |
| Course Coordinator | Assoc.Prof. Defne YABAŞ |
| Name of Lecturer(s) | Assist.Prof. Büşra Eylem AKTAŞ |
| Assistant(s) | |
| Aim | This course is designed to introduce you to the field of Data Analysis in Psychology. You will learn about how to apply and interpret the results of a variety of statistical techniques from both descriptive and inferential statistics; to understand the fundamental concepts in statistics including sampling, experimentation, variability, distribution, association, hypothesis testing, and analyze statistical arguments to appreciate the relevance and importance of statistics. |
| Course Content | This course contains; Introduction of the course Building Statistical Models ,Sample and population Sample mean distribution Standard error, central limit theorem, confidence interval ,Hypothesis testing Uncertainty and errors in hypothesis testing Effect size, testing of assumptions (normal distribution, homogeneity of variances) ,Comparison of averages T-test in dependent and independent groups ,Comparison of averages T-test in dependent and independent groups ,Analysis of Variance (ANOVA),Analysis of Variance (ANOVA) Review ,Correlation analysis Simple correlation ,Correlation analysis Partial correlation ,Simple linear regression ,Simple linear regression ,Chi-square independence test ,Non-parametric tests ,Non-parametric tests Summary and closure . |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| • Students will know how to resolve the inventories used in psychology through SPSS software. Students will perform scale evaluation, obtain output of statistical data from SPSS and interpret such data. | 16, 6, 9 | A |
| • Students will know what points are required to be considered so that the statistical evaluation will be proper during the organization of demographic forms to be formed in inventory studies. | 16, 6, 9 | A |
| • Students will be informed about the principles of drawing sample. They will make decisions between simple random sampling and stratified random sampling. They will identify the population and the sample for a study they design for themselves. | 16, 6, 9 | A |
| • Students will form a form of questionnaire for a project they plan on their own. They will obtain actual data through face to face interviews and know what ways are available to deal with problems they might encounter with regard to data collection and organization. | 16, 6, 9 | A |
| • Students will be able to do the statistical analyses of a project designed by themselves through SPSS. They will know the difference between parametric and non-parametric tests. They will be able to choose the right technique of analysis and interpret that. | 16, 6, 9 | A |
| Teaching Methods: | 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Introduction of the course Building Statistical Models | |
| 2 | Sample and population Sample mean distribution Standard error, central limit theorem, confidence interval | |
| 3 | Hypothesis testing Uncertainty and errors in hypothesis testing Effect size, testing of assumptions (normal distribution, homogeneity of variances) | |
| 4 | Comparison of averages T-test in dependent and independent groups | |
| 5 | Comparison of averages T-test in dependent and independent groups | |
| 6 | Analysis of Variance (ANOVA) | |
| 7 | Analysis of Variance (ANOVA) Review | |
| 8 | Correlation analysis Simple correlation | |
| 9 | Correlation analysis Partial correlation | - |
| 10 | Simple linear regression | |
| 11 | Simple linear regression | |
| 12 | Chi-square independence test | |
| 13 | Non-parametric tests | |
| 14 | Non-parametric tests Summary and closure |
| Resources |
| Büyüköztürk, Ş., Çokluk, Ö. ve Köklü, N. (2012). Sosyal bilimler için istatistik (21.baskı). Ankara: Pegem Akademi. |
| - |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Knows the basic concepts of research and application-oriented sub-fields of psychology and the basic theories of these fields. | ||||||
| 2 | Can compare theories and schools in the history of psychology, and relate new developments with this knowledge. | ||||||
| 3 | Can recognize and interpret the problems they encounter and offer solutions using their expert knowledge. | ||||||
| 4 | Can investigate a problem with scientific methods, interpret findings and turn the results into a scientific publication. | ||||||
| 5 | Can lead the project, plan and manage the activities in a team established to solve the problems related to their field. | ||||||
| 6 | Can question and criticize new ideas from a scientific point of view without taking sides. | ||||||
| 7 | They adopt the principle of lifelong learning and can follow new developments in their field. | ||||||
| 8 | Can share their findings, knowledge and solution suggestions about a problem with colleagues or people outside of their field in written or oral form, in an appropriate language. | ||||||
| 9 | They have a sense of social responsibility and can use their professional achievements in solving problems in their near and far surroundings. | ||||||
| 10 | Speaks English at least at B1 level to follow international professional developments. | ||||||
| 11 | Has basic computer skills and can communicate with colleagues on up-to-date platforms. | ||||||
| 12 | Knows the basic tools of psychology used in assessment and evaluation and can use these tools. | ||||||
| 13 | Knows professional responsibilities, authorization, and limits, recognizes psychological problems, can make the right referral for their solution, and abides by ethical principles in research and practice. | ||||||
| 14 | They consider individual and cultural differences in research and practice and take these differences into account while evaluating the research results. | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 40 | |
| Rate of Final Exam to Success | 60 | |
| Total | 100 | |
| ECTS / Workload Table | ||||||
| Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
| Course Hours | 14 | 3 | 42 | |||
| Guided Problem Solving | 14 | 4 | 56 | |||
| Resolution of Homework Problems and Submission as a Report | 1 | 7 | 7 | |||
| Term Project | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 0 | 0 | 0 | |||
| Quiz | 2 | 2 | 4 | |||
| Midterm Exam | 1 | 20 | 20 | |||
| General Exam | 1 | 25 | 25 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Total Workload(Hour) | 154 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(154/30) | 5 | |||||
| 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 |
|---|---|---|---|---|---|
| STATISTICS for BEHAVIORAL SCIENCES II | - | Spring Semester | 3+0 | 3 | 5 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Required |
| Course Coordinator | Assoc.Prof. Defne YABAŞ |
| Name of Lecturer(s) | Assist.Prof. Büşra Eylem AKTAŞ |
| Assistant(s) | |
| Aim | This course is designed to introduce you to the field of Data Analysis in Psychology. You will learn about how to apply and interpret the results of a variety of statistical techniques from both descriptive and inferential statistics; to understand the fundamental concepts in statistics including sampling, experimentation, variability, distribution, association, hypothesis testing, and analyze statistical arguments to appreciate the relevance and importance of statistics. |
| Course Content | This course contains; Introduction of the course Building Statistical Models ,Sample and population Sample mean distribution Standard error, central limit theorem, confidence interval ,Hypothesis testing Uncertainty and errors in hypothesis testing Effect size, testing of assumptions (normal distribution, homogeneity of variances) ,Comparison of averages T-test in dependent and independent groups ,Comparison of averages T-test in dependent and independent groups ,Analysis of Variance (ANOVA),Analysis of Variance (ANOVA) Review ,Correlation analysis Simple correlation ,Correlation analysis Partial correlation ,Simple linear regression ,Simple linear regression ,Chi-square independence test ,Non-parametric tests ,Non-parametric tests Summary and closure . |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| • Students will know how to resolve the inventories used in psychology through SPSS software. Students will perform scale evaluation, obtain output of statistical data from SPSS and interpret such data. | 16, 6, 9 | A |
| • Students will know what points are required to be considered so that the statistical evaluation will be proper during the organization of demographic forms to be formed in inventory studies. | 16, 6, 9 | A |
| • Students will be informed about the principles of drawing sample. They will make decisions between simple random sampling and stratified random sampling. They will identify the population and the sample for a study they design for themselves. | 16, 6, 9 | A |
| • Students will form a form of questionnaire for a project they plan on their own. They will obtain actual data through face to face interviews and know what ways are available to deal with problems they might encounter with regard to data collection and organization. | 16, 6, 9 | A |
| • Students will be able to do the statistical analyses of a project designed by themselves through SPSS. They will know the difference between parametric and non-parametric tests. They will be able to choose the right technique of analysis and interpret that. | 16, 6, 9 | A |
| Teaching Methods: | 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Introduction of the course Building Statistical Models | |
| 2 | Sample and population Sample mean distribution Standard error, central limit theorem, confidence interval | |
| 3 | Hypothesis testing Uncertainty and errors in hypothesis testing Effect size, testing of assumptions (normal distribution, homogeneity of variances) | |
| 4 | Comparison of averages T-test in dependent and independent groups | |
| 5 | Comparison of averages T-test in dependent and independent groups | |
| 6 | Analysis of Variance (ANOVA) | |
| 7 | Analysis of Variance (ANOVA) Review | |
| 8 | Correlation analysis Simple correlation | |
| 9 | Correlation analysis Partial correlation | - |
| 10 | Simple linear regression | |
| 11 | Simple linear regression | |
| 12 | Chi-square independence test | |
| 13 | Non-parametric tests | |
| 14 | Non-parametric tests Summary and closure |
| Resources |
| Büyüköztürk, Ş., Çokluk, Ö. ve Köklü, N. (2012). Sosyal bilimler için istatistik (21.baskı). Ankara: Pegem Akademi. |
| - |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Knows the basic concepts of research and application-oriented sub-fields of psychology and the basic theories of these fields. | ||||||
| 2 | Can compare theories and schools in the history of psychology, and relate new developments with this knowledge. | ||||||
| 3 | Can recognize and interpret the problems they encounter and offer solutions using their expert knowledge. | ||||||
| 4 | Can investigate a problem with scientific methods, interpret findings and turn the results into a scientific publication. | ||||||
| 5 | Can lead the project, plan and manage the activities in a team established to solve the problems related to their field. | ||||||
| 6 | Can question and criticize new ideas from a scientific point of view without taking sides. | ||||||
| 7 | They adopt the principle of lifelong learning and can follow new developments in their field. | ||||||
| 8 | Can share their findings, knowledge and solution suggestions about a problem with colleagues or people outside of their field in written or oral form, in an appropriate language. | ||||||
| 9 | They have a sense of social responsibility and can use their professional achievements in solving problems in their near and far surroundings. | ||||||
| 10 | Speaks English at least at B1 level to follow international professional developments. | ||||||
| 11 | Has basic computer skills and can communicate with colleagues on up-to-date platforms. | ||||||
| 12 | Knows the basic tools of psychology used in assessment and evaluation and can use these tools. | ||||||
| 13 | Knows professional responsibilities, authorization, and limits, recognizes psychological problems, can make the right referral for their solution, and abides by ethical principles in research and practice. | ||||||
| 14 | They consider individual and cultural differences in research and practice and take these differences into account while evaluating the research results. | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 40 | |
| Rate of Final Exam to Success | 60 | |
| Total | 100 | |