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 Education | |||||
| Course Code | ELE 434 | |||||
| Course Title in English | Quantitative Data Analysis Techniques with SPSS | |||||
| Course Title in Turkish | SPSS ile Nicel Veri Analizi | |||||
| Language of Instruction | EN | |||||
| Type of Course | Lecture | |||||
| Level of Course | Seçiniz | |||||
| Semester | Spring | |||||
| Contact Hours per Week |
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| Estimated Student Workload | 108 hours per semester | |||||
| Number of Credits | 5 ECTS | |||||
| Grading Mode | Standard Letter Grade | |||||
| Pre-requisites |
EDS 403 - Scientific Research Experience I |
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| Expected Prior Knowledge | Experience in academic research | |||||
| Co-requisites | None | |||||
| Registration Restrictions | Only Undergraduate Students | |||||
| Overall Educational Objective | To gain further knowledge on the important concepts in statistics for carrying out research in the field of education. | |||||
| Course Description | The course begins with the general concepts and terms of educational statistics. The course is aimed to teach prospective teachers how to analyze and interpret the data they collected related with their hypotheses determined in the scientific research methods course with appropriate statistical methods. It continues with teaching how to examine data, choosing the right analysis, analyzing the data with SPSS, visualizing the data and gaining the ability to interpret the results of analysis for effective decision making. | |||||
| Course Description in Turkish | Bu ders öncelikle istatistiğin genel kavram ve terimlerini öğreterek başlayacaktır. Dersin amacı, öğretmen adaylarının bilimsel araştırma yöntemleri dersinde belirledikleri hipotezlerine uygun topladıkları verileri uygun istatistiksel yöntemler ile analiz edip yorumlamasıdır. Öğretmen adaylarına günlük hayattan topladıkları veriler üzerinde etkili karar alabilmeleri için verileri inceleme, doğru analizi seçebilme, SPSS ile analizi uygulama, veriyi görselleştirme ve analiz sonuçlarını yorumlama becerisi kazandırmayı amaçlamaktadır. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) understand the meanings of fundamental terms and concepts about statistics; 2) realize and differentiate the wide variety of descriptive statistical techniques; 3) select appropriate types of inferential statistical techniques; 4) relate one’s research hypothesis with appropriate data analysis techniques; 5) examine data, choose the right analysis, use SPSS for data analysis, analyze the data, visualize the data and interpret the results of analysis for effective decision making; 6) summarize, report and communicate analysis results through APA guideline. |
| 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 | |
| 2) | Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | N | |
| 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,HW,Participation |
| 4) | Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | N | |
| 5) | Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | N | |
| 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. | N | |
| 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). | N | |
| 9) | Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | S | Participation |
| 10) | Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | S | HW,Participation |
| 11) | Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | N | |
| 12) | Ability to acquire knowledge independently, and to plan one’s own learning. | S | Exam,HW |
| 13) | Demonstration of advanced competence in the clarity and composition of written work and presentations. | H | Exam,HW |
| Prepared by and Date | BENGİ BİRGİLİ , |
| Course Coordinator | BENGİ BİRGİLİ |
| Semester | Spring |
| Name of Instructor |
Course Contents
| Week | Subject |
| 1) | Introduction to the course |
| 2) | Introduction to Statistics, Frequency distributions |
| 3) | Z-scores, Probability and samples |
| 4) | Introduction to hypothesis testing Single sample t statistics |
| 5) | Independent measures t-test |
| 6) | Repeated measures t-test |
| 7) | In Class Application (recitation) |
| 8) | Midterm Examination |
| 9) | Introduction to analysis of variance |
| 10) | Two-factor analysis of variance |
| 11) | Two-factor analysis of variance |
| 12) | Correlation |
| 13) | Chi-square statistics |
| 14) | Presentation on Projects |
| 15) | Final Examination Period |
| 16) | Final Examination Period |
| Required/Recommended Readings | List of readings and indication whether they are required or recommended. Required Books Gravetter, F. J. & Wallnau, L. B. (2016). Statistics for the behavioral sciences (10th ed.) Belmont, CA: Wadsworth. Green, S. B., Salkind, N. J., & Akey, T. M. (2008). Using SPSS for Windows and Macintosh: Analyzing and understanding data (5th ed.). Upper Saddle River, NJ: Prentice Hall. American Psychological Association (2010). Publication manual of the American Psychological Association (6th ed.). Washington, DC. Recommended Readings Nicol, A. A. & Pexman, P. M. (2010). Presenting your findings: A practical guide for creating tables. Washington, DC: American Psychological Association. Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Erlbuam. Keppel, G., & Wickens, T. D. (2004). Design and Analysis: A researcher's handbook (4th ed.). Upper Saddle River, NJ: Prentice Hall. Pallant, J. (2001). SPSS survival manual. Buckingham, UK: Open University. (HA 32. P355) Stevens, J. (2002). Applied multivariate statistics for the social sciences. Mahwah, NJ: Lawrence Erlbaum Associates. Tabachnick, B. G., & Fidell, L. S. (2012). Using multivariate statistics. Needham Heights, MA: Allyn and Bacon. Suggested Online Resources: Introductory Statistics (http://www.psychstat.missouristate.edu/Introbook/sbk00.htm) Statistics Glossary (http://www.stats.gla.ac.uk/steps/glossary/index.html) Statistical Analysis on the Internet (http://www.quantitativeskills.com/sisa/) *SPSS SOFTWARE (required): You are expected to install SPSS software (version 24.0) to your computer as soon as possible. | ||||||||||||||||||
| Teaching Methods | Flipped learning will be used as the main teaching strategy. However, course lecture, direct instruction, and group work and discussions will be used. Students will discuss in their groups about practical aspects behind each analysis techniques. In the classroom/lab, they will actively engage in quantitative data analysis with SPSS and interpreting the results. | ||||||||||||||||||
| Homework and Projects | Assignments: Throughout the course you will be given six assignments. Each assignment will be graded over 50 points, and the primary intent of the assignments for you is to assess your on-going learning and to guide your own learning efforts. A rubric for assessment will be provided for each assignment. | ||||||||||||||||||
| Laboratory Work | |||||||||||||||||||
| Computer Use | SPSS Software during lab applications | ||||||||||||||||||
| Other Activities | |||||||||||||||||||
| Assessment Methods |
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| Course Administration |
birgilib@mef.edu.tr Instructor: Bengi Birgili e-mail: birgilib@mef.edu.tr Office Hours: 11:00-12:00 pm, Tuesday By appointment Rules for attendance: The student must attend at least 70% of the classes. Academic dishonesty and plagiarism: YOK 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 | 1 | 2 | 1 | 56 | ||
| Laboratory | 10 | 1 | 1 | 20 | |||
| Homework Assignments | 4 | 4 | 16 | ||||
| Midterm(s) | 1 | 4 | 2 | 6 | |||
| Final Examination | 1 | 8 | 2 | 10 | |||
| Total Workload | 108 | ||||||
| Total Workload/25 | 4.3 | ||||||
| ECTS | 5 | ||||||