Information Package / Course Catalogue
| Psychology | |||||
| Bachelor | Length of the Programme: 4 | Number of Credits: 240 | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF: Level 6 |
Ders Genel Tanıtım Bilgileri
| School/Faculty/Institute | Faculty of Econ., Admin. and Social Sciences | |||||
| Course Code | PSYC 206 | |||||
| Course Title in English | Research Methods II | |||||
| Course Title in Turkish | Araştırma Yöntemleri II | |||||
| Language of Instruction | EN | |||||
| Type of Course | Flipped Classroom | |||||
| Level of Course | Intermediate | |||||
| Semester | Spring | |||||
| Contact Hours per Week |
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| Estimated Student Workload | 162 hours per semester | |||||
| Number of Credits | 6 ECTS | |||||
| Grading Mode | Standard Letter Grade | |||||
| Pre-requisites |
PSYC 205 - Research Methods I |
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| Expected Prior Knowledge | Research methods in psychology | |||||
| Co-requisites | None | |||||
| Registration Restrictions | Only Undergraduate Students, Majoring in Psychology | |||||
| Overall Educational Objective | To learn to confidently and competently analyze and interpret data arising from the most common research designs in psychology. | |||||
| Course Description | This course builds on introduction to research methods to further develop students’ ability and confidence with SPSS. Students will learn to use SPSS for analyzing experiments with many independent variables, and for multiple regression analysis. They will also continue to develop their understanding of methodology, and its application to behavioral research. | |||||
| Course Description in Turkish | Bu ders öğrencilerin SPSS kullanmadaki yetilerini ve güvenlerini geliştirmek üzere araştırma yöntemlerine giriş dersi üzerine yapılandırılmıştır. Öğrenciler birden çok bağımsız değişkene sahip olan araştırmaları analiz etmek ve çoklu regresyon analizi yapabilmek için SPPS kullanmayı öğrenecektir. Ayrıca, öğrencilerin yöntem bilim üzerine ve davranışsal araştırma yöntemlerinin uygulanışına dair bilgileri pekiştirilmeye devam edecektir. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) confidently use SPSS to analyze data; 2) evaluate the details of methodology in behavioral research; 3) analyze and interpret data from multifactorial between subject, within subjects, and mixed designs; 4) analyze and interpret data from correlational designs with multiple predictors; 5) analyze and interpret data from one-way and two-way frequency tables; 6) confidently use, and understand the difference between, a priori and post hoc tests. |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 | 6 |
|---|---|---|---|---|---|---|
| 1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | ||||||
| 2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | ||||||
| 3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | ||||||
| 4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | ||||||
| 5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | ||||||
| 6) Internalization and dissemination of professional ethical standards. | ||||||
| 7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | ||||||
| 8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | ||||||
| 9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | ||||||
| 10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | ||||||
| 11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | ||||||
| 12) Ability to acquire knowledge independently, and to plan one’s own learning. | ||||||
| 13) Demonstration of advanced competence in the clarity and composition of written work and presentations. |
Relation to Program Outcomes and Competences
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | N | Exam,Participation |
| 2) | Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | H | Exam,Participation |
| 3) | Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | H | Exam,Participation |
| 4) | Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | S | Exam,Participation |
| 5) | Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | S | Exam,Participation |
| 6) | Internalization and dissemination of professional ethical standards. | N | |
| 7) | Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | H | Participation |
| 8) | Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | S | Exam,Participation |
| 9) | Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | N | |
| 10) | Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | N | |
| 11) | Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | S | Exam,Participation |
| 12) | Ability to acquire knowledge independently, and to plan one’s own learning. | S | Participation |
| 13) | Demonstration of advanced competence in the clarity and composition of written work and presentations. | H | Exam |
| Prepared by and Date | MÜJDE PEKER BOOTH , March 2022 |
| Course Coordinator | MÜJDE PEKER BOOTH |
| Semester | Spring |
| Name of Instructor | Prof. Dr. MÜJDE PEKER BOOTH |
Course Contents
| Week | Subject |
| 1) | Introduction, and recap of statistic inference |
| 2) | One-Way ANOVA |
| 3) | A priori and post hoc testing |
| 4) | Two-way between subjects ANOVA |
| 5) | Two-way within subjects ANOVA |
| 6) | Quasi-experiments and Assignment 1 |
| 7) | Revision and midterm |
| 8) | Three-way ANOVA |
| 9) | Mixed ANOVA |
| 10) | Multiple regression |
| 11) | Chi-square |
| 12) | Mediation |
| 13) | Revision |
| 14) | Assignment 2 |
| 15) | Final Examination Period |
| 16) | Final Examination Period |
| Required/Recommended Readings | Leary, M. R. (2014). Introduction to Behavioral Research Methods, 6th Edition, Pearson Education Limited. – Strongly recommended | |||||||||||||||||||||
| Teaching Methods | This course will use a flipped learning approach. New techniques and concepts will be introduced in pre-class videos, and then in class students will practice using these techniques with example datasets, both in large-group and individual/small-group settings. | |||||||||||||||||||||
| Homework and Projects | ||||||||||||||||||||||
| Laboratory Work | Each week, students will work with the direct supervision of the instructors to complete exercises. They will be given example datasets, and will use the new skills they have learned that week to analyze the data and interpret their results. | |||||||||||||||||||||
| Computer Use | Students will use computers for their lab session each week, where they will practice using SPSS software to analyze example datasets. This is in addition to the standard student computer/mobile device use, which is required for flipped learning at MEF University. | |||||||||||||||||||||
| Other Activities | ||||||||||||||||||||||
| Assessment Methods |
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| Course Administration |
mujde.peker@mef.edu.tr Office Hours to be announced in the syllabus Students are expected to attend each class and to work actively on class activities. Students missing exams may, time permitting, be able to complete a makeup exam IF they produce appropriate documentation covering their absence, at the instructors’ discretion. Students are expected to behave maturely, considerately and appropriately at all times. Students are advised that any instance of plagiarism or copying, in exams or at other times will not be tolerated. Academic dishonesty and plagiarism: YÖK Disciplinary Regulation |
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ECTS Student Workload Estimation
| Activity | No/Weeks | Hours | Calculation | ||||
| No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
| Course Hours | 14 | 2 | 2 | 1 | 70 | ||
| Laboratory | 14 | 2 | 1 | 1 | 56 | ||
| Project | 2 | 4 | 2 | 12 | |||
| Midterm(s) | 1 | 10 | 2 | 12 | |||
| Final Examination | 1 | 10 | 2 | 12 | |||
| Total Workload | 162 | ||||||
| Total Workload/25 | 6.5 | ||||||
| ECTS | 6 | ||||||