| PSYCHOLOGY | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| PSY2097 | Statistical Methods and Applications I | Fall | 2 | 2 | 3 | 6 |
| Language of instruction: | English |
| Type of course: | Must Course |
| Course Level: | Bachelor’s Degree (First Cycle) |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Dr. Öğr. Üyesi BAHAR TANYAŞ |
| Course Lecturer(s): |
Dr. Öğr. Üyesi BAHAR TANYAŞ Dr. Öğr. Üyesi BEYZA TEPE COMOGLU |
| Recommended Optional Program Components: | "." |
| Course Objectives: | At the end of the course, successful students should be able to: • Explain why psychologists need to understand and use statistics • Using online data collecting tools to prepare data set for statistical program • Use descriptive statistics to describe and summarize data sets. • Demonstrate understanding the basic concepts underlying use of inferential statistics • Carry out and interpret a z-test |
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The students who have succeeded in this course; Students will be able to... Explain why and how do psychologists use statistics. Identify different kinds of variables and measurement scales. Explain relationship between populations and samples and between statistics and parameters Explain the concept of frequency distributions and display frequency distributions using graphs and tables. Describe characteristics of different kinds of frequency distributions Calculate three measures of central tendency; mean, median, mode, select suitable measure of central tendency for different frequency distributions/data types and explain the idea of variability. Explain how; range, inter-quartile range and standard deviation measure variability. Calculate; range, inter-quartile range and standard deviation. Explain what z-scores are. Calculate z-scores from raw data and vice versa . Explain how z-scores relate to probability distributions in normally distributed data Explain why probabilities are important in inferential statistics and how distribution of sample means relates to the distribution of scores in the population (using standard error) Explain how hypothesis testing functions Use z-scores to evaluate hypothesis. |
| 1. introduction to statistics 2. frequency distributions 3. central tendency 4. data variability 5. z-scores 6. probability and samples 7. hypothesis testing 8. t-tests |
| Week | Subject | Related Preparation |
| 1) | Introduction to Statistics | |
| 2) | Frequency distributions | |
| 3) | Central tendency measures | |
| 4) | Data variability | |
| 5) | Data Variability | |
| 6) | MIDTERM | |
| 7) | Z-score | |
| 8) | Probability and Samples | |
| 9) | Sample mean distribution | |
| 10) | Standard deviation and Standard error | |
| 11) | MIDTERM | |
| 12) | Hypothesis testing | |
| 13) | Hypothesis testing | |
| 14) | Review of concepts and techniques covered during semester |
| Course Notes / Textbooks: | Required Text: Gravetter, F.J. & Wallnau, L.B.. Statistics for the Behavioral Sciences. (International Edition- 2012 or newer versions). Belmont, CA: Wadsworth. Supplementary Texts: Howitt, D. & Cramer, D. Introduction to SPSS in Psychology (7th edition) Pearson Publications Suggested book: Online e-book for free: Andy Field, Discovering Statistics Using IBM SPSS Statistics https://books.google.com.tr/books?hl=tr&lr=&id=c0Wk9IuBmAoC&oi=fnd&pg=PP2&dq=andy+field+discovering+statistics+using+spss&ots=LbFnNIYsYA&sig=BY0cTNKHtpeq3_8JlEWWDPBkBh0&redir_esc=y#v=onepage&q=andy%20field%20discovering%20statistics%20using%20spss&f=false |
| References: | Powerpoint slides will be provided to supplement course reading |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 14 | % 2 |
| Laboratory | 14 | % 3 |
| Midterms | 2 | % 50 |
| Final | 1 | % 45 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 55 | |
| PERCENTAGE OF FINAL WORK | % 45 | |
| Total | % 100 | |
| Activities | Number of Activities | Workload |
| Course Hours | 14 | 28 |
| Laboratory | 14 | 28 |
| Study Hours Out of Class | 14 | 84 |
| Midterms | 2 | 2 |
| Final | 1 | 2 |
| Total Workload | 144 | |
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Develop close interest in human mind and behavior, and attain critical thinking skills (in particular the ability to evaluate psychological theories using empirical evidence), as well as appreciating psychology as an evidence based science. | 2 |
| 2) | Gain a biopsychosocial understanding of human behavior, namely, the biological, psychological, social determinants of behavior. | 1 |
| 3) | Acquire theoretical and applied knowledge and learn about basic psychological concepts and perspectives | 1 |
| 4) | Familiarize with methodology and data evaluation techniques by being aware of scientific research methods (i.e. correlational, experimental, longitudinal, case study). | 5 |
| 5) | Employ ethical sensitivity while doing assessment, research or working with groups. | 1 |
| 6) | Familiarize with the essential perspectives of psychology (cognitive, developmental, clinical, social, behavioral, and biological). | |
| 7) | Get the opportunity and skills to evaluate qualitative and quantitative data, write reports, and present them. | 5 |
| 8) | Attain preliminary knowledge for psychological measurement and evaluation. | 2 |
| 9) | To have a basic knowledge of other disciplines (e.g. sociology, history, political science, communication studies, philosophy, anthropology, literature, law, art, etc) that can contribute to psychology and to be able to make use of this knowledge in understanding and interpreting of psychological process. |