| CHILD DEVELOPMENT (TURKISH) | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| EDT5012 | Statistical Data Analysis | 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: | English |
| Type of course: | Non-Departmental Elective |
| Course Level: | Bachelor’s Degree (First Cycle) |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Prof. Dr. ALİ BAYKAL |
| Course Lecturer(s): |
Prof. Dr. HASAN KEMAL SUHER Assoc. Prof. MEHMET SENCER ÇORLU Prof. Dr. ALİ BAYKAL Dr. Öğr. Üyesi GURSU ASIK |
| 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) | To gain both theoretical and practical knowledge about physical, cognitive, social-emotional aspects of child development. | 4 |
| 2) | To display actions in professional practice based on ethical principles and values. | 5 |
| 3) | To adopt the principle of lifelong learning, using efficient ways for accessing information. | 5 |
| 4) | To know the stages of child development and to be able to use models / theories efficiently for supporting children's cognitive, affective and psycho-motor development. | 5 |
| 5) | To plan, implement and evaluate professional projects, research and events with a sense of social responsibility, | 5 |
| 6) | To be able to use effective communication methods in counseling and child and family-based guidance. | 3 |
| 7) | To be sensitive to the child and family-related issues taking into account the child's stages of development, and to implement strategies for personal development of child and education methods which are vital for leading effective and productive life. | 5 |
| 8) | To use the education and communication materials according to the child development stage, and to create proper educational environment. | 5 |
| 9) | To take responsibilities in the field of child development and education using interdisciplinary approach, and to use information technologies, and to engage in projects and activities. | 5 |
| 10) | To use health information technologies for research in the field of child development. | 5 |
| 11) | To be able to monitor occupational information using at least one foreign language, to collaborate and communicate with colleagues at international level. | 5 |
| 12) | To become a good example for colleagues and society, and represent efficiently the professional identity using advanced knowledge about child development. | 5 |