Course Detail
Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| STATISTICS for BEHAVIORAL SCIENCES I | PSK2153960 | Fall Semester | 3+0 | 3 | 6 |
| 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) | Assoc.Prof. Defne YABAŞ |
| Assistant(s) | |
| Aim | This course is intended for students in disciplines that require knowledge of statistical methods used in behavioral and social science research. Emphasis is on the conceptual understanding of statistics within the context of research. Relevant research topics are discussed and linked to the appropriate statistical methods. |
| Course Content | This course contains; Introduction Statistics, science, and observations Basic concepts ,Variables Scale Types Descriptive and Inferential Statistics,Statistics in the Research Context Explaining and Exploring Data Frequency Distributions,Daire grafiği, sütun grafiği, nokta grafiği Histogram Pie chart, column chart, dot chart Histogram,Stem-leaf diagram Scatter diagram Box plot,Descriptive statistics Mean, Mode, Median (measures of central tendency) Central tendency and shape of distribution,Percentiles Five-number summary ,Measures of variability: dispersion, range, standard deviation, variance ,Fundamentals of Inferential Statistics Normal Distribution Standard Normal Distribution,z-scores Measurements related to z-scores,z-scores Measurements related to z-scores,Introduction to Probability Probability and the Normal Distribution,Introduction to Probability Probability and the Normal Distribution,Summary and evaluation of the course. |
| Course Learning Outcomes | Teaching Methods | Assessment Methods |
| Recognize the correct definitions and applications of statistical concepts and methods used in social science research. | 10, 12, 16, 21, 9 | A |
| Know the correct definitions and applications of research methods, designs, and procedures, and identify appropriate statistical analyses for given research questions and data sets. | 10, 12, 16, 21, 9 | A |
| Explain why their choices are appropriate, citing relevant research and measurement issues. | 10, 12, 16, 21, 9 | A |
| Perform statistical analyses and explain/interpret the results. | 10, 12, 16, 21, 9 | A |
| Ability to recognize and explain research and statistical procedures that occur in professional research articles. | 10, 12, 16, 21, 9 | A |
| Teaching Methods: | 10: Discussion Method, 12: Problem Solving Method, 16: Question - Answer Technique, 21: Simulation Technique, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Introduction Statistics, science, and observations Basic concepts | Chapter-1 |
| 2 | Variables Scale Types Descriptive and Inferential Statistics | Chapter-1 |
| 3 | Statistics in the Research Context Explaining and Exploring Data Frequency Distributions | Chapter-2 |
| 4 | Daire grafiği, sütun grafiği, nokta grafiği Histogram Pie chart, column chart, dot chart Histogram | Homework 1 |
| 5 | Stem-leaf diagram Scatter diagram Box plot | |
| 6 | Descriptive statistics Mean, Mode, Median (measures of central tendency) Central tendency and shape of distribution | Chapter-3 |
| 7 | Percentiles Five-number summary | Chapter-3 |
| 8 | Measures of variability: dispersion, range, standard deviation, variance | Chapter-4, Ödev 2 |
| 9 | Fundamentals of Inferential Statistics Normal Distribution Standard Normal Distribution | Chapter-5 |
| 10 | z-scores Measurements related to z-scores | Chapter-5 |
| 11 | z-scores Measurements related to z-scores | Chapter-5 |
| 12 | Introduction to Probability Probability and the Normal Distribution | Chapter-6 |
| 13 | Introduction to Probability Probability and the Normal Distribution | Chapter-6 |
| 14 | Summary and evaluation of the course |
| Resources |
| Büyüköztürk, Ş., Çokluk, Ö. ve Köklü, N. (2012). Sosyal bilimler için istatistik (21.baskı). Ankara: Pegem Akademi. |
| --Gravetter & Walnau. (2014). Essentials of Statistics for the Behavioral Sciences (8th edition). Wadsworth, Cengage Learning. |
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. | X | |||||
| 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. | X | |||||
| 4 | Can investigate a problem with scientific methods, interpret findings and turn the results into a scientific publication. | X | |||||
| 5 | Can lead the project, plan and manage the activities in a team established to solve the problems related to their field. | X | |||||
| 6 | Can question and criticize new ideas from a scientific point of view without taking sides. | X | |||||
| 7 | They adopt the principle of lifelong learning and can follow new developments in their field. | X | |||||
| 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. | X | |||||
| 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. | X | |||||
| 12 | Knows the basic tools of psychology used in assessment and evaluation and can use these tools. | X | |||||
| 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. | X | |||||
| 14 | They consider individual and cultural differences in research and practice and take these differences into account while evaluating the research results. | X | |||||
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 | 3 | 42 | |||
| Resolution of Homework Problems and Submission as a Report | 1 | 20 | 20 | |||
| Term Project | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 0 | 0 | 0 | |||
| Quiz | 1 | 20 | 20 | |||
| Midterm Exam | 1 | 25 | 25 | |||
| General Exam | 1 | 30 | 30 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Total Workload(Hour) | 179 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(179/30) | 6 | |||||
| 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 I | PSK2153960 | Fall Semester | 3+0 | 3 | 6 |
| 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) | Assoc.Prof. Defne YABAŞ |
| Assistant(s) | |
| Aim | This course is intended for students in disciplines that require knowledge of statistical methods used in behavioral and social science research. Emphasis is on the conceptual understanding of statistics within the context of research. Relevant research topics are discussed and linked to the appropriate statistical methods. |
| Course Content | This course contains; Introduction Statistics, science, and observations Basic concepts ,Variables Scale Types Descriptive and Inferential Statistics,Statistics in the Research Context Explaining and Exploring Data Frequency Distributions,Daire grafiği, sütun grafiği, nokta grafiği Histogram Pie chart, column chart, dot chart Histogram,Stem-leaf diagram Scatter diagram Box plot,Descriptive statistics Mean, Mode, Median (measures of central tendency) Central tendency and shape of distribution,Percentiles Five-number summary ,Measures of variability: dispersion, range, standard deviation, variance ,Fundamentals of Inferential Statistics Normal Distribution Standard Normal Distribution,z-scores Measurements related to z-scores,z-scores Measurements related to z-scores,Introduction to Probability Probability and the Normal Distribution,Introduction to Probability Probability and the Normal Distribution,Summary and evaluation of the course. |
| Course Learning Outcomes | Teaching Methods | Assessment Methods |
| Recognize the correct definitions and applications of statistical concepts and methods used in social science research. | 10, 12, 16, 21, 9 | A |
| Know the correct definitions and applications of research methods, designs, and procedures, and identify appropriate statistical analyses for given research questions and data sets. | 10, 12, 16, 21, 9 | A |
| Explain why their choices are appropriate, citing relevant research and measurement issues. | 10, 12, 16, 21, 9 | A |
| Perform statistical analyses and explain/interpret the results. | 10, 12, 16, 21, 9 | A |
| Ability to recognize and explain research and statistical procedures that occur in professional research articles. | 10, 12, 16, 21, 9 | A |
| Teaching Methods: | 10: Discussion Method, 12: Problem Solving Method, 16: Question - Answer Technique, 21: Simulation Technique, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Introduction Statistics, science, and observations Basic concepts | Chapter-1 |
| 2 | Variables Scale Types Descriptive and Inferential Statistics | Chapter-1 |
| 3 | Statistics in the Research Context Explaining and Exploring Data Frequency Distributions | Chapter-2 |
| 4 | Daire grafiği, sütun grafiği, nokta grafiği Histogram Pie chart, column chart, dot chart Histogram | Homework 1 |
| 5 | Stem-leaf diagram Scatter diagram Box plot | |
| 6 | Descriptive statistics Mean, Mode, Median (measures of central tendency) Central tendency and shape of distribution | Chapter-3 |
| 7 | Percentiles Five-number summary | Chapter-3 |
| 8 | Measures of variability: dispersion, range, standard deviation, variance | Chapter-4, Ödev 2 |
| 9 | Fundamentals of Inferential Statistics Normal Distribution Standard Normal Distribution | Chapter-5 |
| 10 | z-scores Measurements related to z-scores | Chapter-5 |
| 11 | z-scores Measurements related to z-scores | Chapter-5 |
| 12 | Introduction to Probability Probability and the Normal Distribution | Chapter-6 |
| 13 | Introduction to Probability Probability and the Normal Distribution | Chapter-6 |
| 14 | Summary and evaluation of the course |
| Resources |
| Büyüköztürk, Ş., Çokluk, Ö. ve Köklü, N. (2012). Sosyal bilimler için istatistik (21.baskı). Ankara: Pegem Akademi. |
| --Gravetter & Walnau. (2014). Essentials of Statistics for the Behavioral Sciences (8th edition). Wadsworth, Cengage Learning. |
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. | X | |||||
| 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. | X | |||||
| 4 | Can investigate a problem with scientific methods, interpret findings and turn the results into a scientific publication. | X | |||||
| 5 | Can lead the project, plan and manage the activities in a team established to solve the problems related to their field. | X | |||||
| 6 | Can question and criticize new ideas from a scientific point of view without taking sides. | X | |||||
| 7 | They adopt the principle of lifelong learning and can follow new developments in their field. | X | |||||
| 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. | X | |||||
| 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. | X | |||||
| 12 | Knows the basic tools of psychology used in assessment and evaluation and can use these tools. | X | |||||
| 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. | X | |||||
| 14 | They consider individual and cultural differences in research and practice and take these differences into account while evaluating the research results. | X | |||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 40 | |
| Rate of Final Exam to Success | 60 | |
| Total | 100 | |