| EDUCATIONAL DESIGN AND EVALUATION (TURKISH, NONTHESIS) | |||||
| Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| EDT5112 | Statistical Data Analysis | Fall Spring |
3 | 0 | 3 | 8 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
| Language of instruction: | Turkish |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Assist. Prof. ZEYNEP CÖMERT |
| Course Lecturer(s): |
Assist. Prof. ZEYNEP CÖMERT Assist. Prof. ÖZGÜR ERKUT ŞAHİN |
| Recommended Optional Program Components: | NONE |
| Course Objectives: | This course will primarily focus on quantitative data analysis. Topics in this course will include descriptive statistics, hypothesis testing, sampling distributions, t-test, ANOVA, and regression. A parallel learning activity will be to learn how to use SPSS (Statistical Package for the Social Sciences) to run the above-mentioned statistical procedures. |
|
The students who have succeeded in this course; At the end of this course, students will; o Develop an understanding of the connection between quantitative research types and corresponding statistical analysis types. o Develop a knowledge base for basic statistical concepts, terms, and principles. o Develop knowledge of introductory level statistical methods. o Develop skills to perform statistical analysis for given research types. o Develop skills to use statistical software to analyze quantitative data. o Develop knowledge and skills to report quantitative data analysis results. |
| Descriptive statistics; hypothesis testing; sampling distributions; t-test; ANOVA; regression; running these analyses in SPSS and interpreting the output; writing up quantitative data analysis results |
| Week | Subject | Related Preparation |
| 1) | Introduction to statistical methods | NONE |
| 2) | Descriptive statistics | Ch. 1 and 2: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 1, 2, and 3: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage. |
| 3) | Descriptive statistics | Ch. 1 and 2: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 1, 2, and 3: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage. |
| 4) | Normal distribution | Ch. 3: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 1, 2, and 3: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage. |
| 5) | Normal distribution | Ch. 3: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 1, 2, and 3: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage. |
| 6) | Sampling distribution and basic hypothesis testing | Ch. 4: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. |
| 7) | Sampling distribution and basic hypothesis testing | Ch. 4: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. |
| 8) | Mean comparison of two groups | Ch. 7: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 9: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage. |
| 9) | Mean comparison of two groups | Ch. 7: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 9: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage. |
| 10) | Mean comparison of three or more groups | Ch. 11: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 10: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage. |
| 11) | Mean comparison of three or more groups | Ch. 11: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 10: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage. |
| 12) | Simple regression | Ch. 9 and 15: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 7: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage. |
| 13) | Simple regression | Ch. 9 and 15: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 7: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage. |
| 14) | Writing up data analysis results | NONE |
| Course Notes / Textbooks: | Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage. Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. |
| References: | Cozby, P.C. (2007). Methods in behavioral research (9th ed.). Boston: McGraw Hill. Pedhazur, E.J. & Schmelkin, L.P. (1991). Measurement, design, and analysis: An integrated approach. Hillsdale, NJ: Lawrence Erlbaum Associates. Salkind, N.J. (2004). Statistics for people who (think they) hate statistics (2nd ed.). London: Sage. |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 1 | % 20 |
| Midterms | 2 | % 40 |
| Final | 1 | % 40 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 60 | |
| PERCENTAGE OF FINAL WORK | % 40 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Study Hours Out of Class | 14 | 7 | 98 |
| Midterms | 2 | 15 | 30 |
| Final | 1 | 20 | 20 |
| Total Workload | 190 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Can create innovative educational environments by analyzing theories and models related to learning systems design. | |
| 2) | Can develop effective teaching processes by using design principles in learning and teaching | |
| 3) | Can develop valid and reliable measurement tools by grounding assessment and evaluation processes in education on scientific principles. | |
| 4) | Can analyze assessment and evaluation methods in education to select and apply appropriate models. | |
| 5) | Can analyze computer-based exam systems to develop technology-based assessment processes. | |
| 6) | Can develop inclusive assessment and evaluation applications by adhering to ethical and fair evaluation principles in education. | |
| 7) | Can evaluate new approaches and integrate them into practice by following current educational design research. | |
| 8) | Can generate evidence-based solutions by conducting design and action research to support educational change. | |
| 9) | Can develop and implement appropriate measurement tools to assess cognitive, affective, and psychomotor skills. | |
| 10) | Can manage instructional design and learning design processes to enhance the effectiveness of educational programs. | |
| 11) | Can improve assessment and evaluation processes by utilizing data analytics and research techniques in education. | |
| 12) | Can conduct comprehensive analyses by using multivariate research methods in educational evaluations. | |
| 13) | Can gain a critical perspective on national and international educational measurement and evaluation by examining current developments. |