Introduction to data processing, use of package programs for statistical analysis, application of standard tests of significance, elementary regression, and variance analyses.
Vertical Tabs
Course Learning Outcomes
| Learning Outcomes | Program Outcomes | Teaching Methods | Assessment Methods |
| Understands the layout and interface of SPSS | 6,15,16 | 1,2,3,6 | A,B,E,F,G |
| Introduces the main menus | 6,15,16 | 1,2,3,6 | A,B,E,F,G |
| Opens and creates new datasets | 6,15,16 | 1,2,3,6 | A,B,E,F,G |
| Analyzes data using descriptive statistics | 1,6,7,15,16 | 1,2,3,6 | A,B,E,F,G |
| Chooses the appropriate significance testing | 6,15,16 | 1,2,3,6 | A,B,E,F,G |
| Interprets the tables | 1,6,7,15,16 | 1,2,3,6 | A,B,E,F,G |
Course Flow
| COURSE CONTENT | ||
| Week | Topics | Study Materials |
| 1 | Review of Basic Statistical Concepts | Presentation |
| 2 |
Introduction to SPSS
Introduction to Data Editor Window(Data View, Variable View), Output Window, Syntax Window Entering Data Manually and By Importing Data Files Preparing Data for Analysis; Defining Variable Properties |
Data Sets |
| 3 |
Preparing Data for Analysis;
Sort cases, Sort variables, Transpose data, Merge files, Split Files, Select Cases |
Data Sets |
| 4 |
Transforming Data;
Recode into same variable, Recode into different variable, Compute |
Data Sets |
| 5 |
Descriptive Statistics;
Frequencies (frequency tables, percentages, mean, median, mode, std. Deviation...etc.), Descriptives, Crosstabs (Chi-Square Analysis), Graphs |
Data Sets |
| 6 |
Differences between parametric and nonparametric tests
Exploring the data; Skewness and Kurtosis Kolmogorov-Smirnoff and Homogeneity of Variance |
Data Sets |
| 7 |
Correlation;
Bivariate; Pearson and Spearman correlation Partial Correlation |
Data Sets |
| 8 |
Mean Comparison by SPSS;
One Sample T Test, Independent Sample T Test, Paired Sample T Test |
Data Sets |
| 9 | One Way ANOVA, Post Hoc Tests, Homogeneity of Variance Test | Data Sets |
| 10 |
General Linear Model
Univariate and Multivariate Linear Models |
Data Sets |
| 11 | Reliability Analysis | Data Sets |
| 12 |
Regression Analysis
Linear and Multiple Regression, Interpreting R-Squared |
Data Sets |
| 13 | Factor Analysis | Data Sets |
| 14 | Non parametric tests | Data Sets |
Recommended Sources
| RECOMMENDED SOURCES | |
| Textbook | Dennis Howitt & Dunkan Cramer, (2011), Introduction to SPSS Statistics in Psychology (For version 19 and earlier) 5th Edition, Pearson, (ISBN: 9780273734260) |
| Additional Resources | - |
Material Sharing
| MATERIAL SHARING | |
| Documents | |
| Assignments | |
| Exams | |
Assessment
|
ASSESSMENT |
|||
|
IN-TERM STUDIES |
NUMBER |
PERCENTAGE |
|
|
Mid-terms |
1 |
50 |
|
|
Quizzes |
3 |
25 |
|
|
Assignment |
2 |
25 |
|
|
Total |
|
100 |
|
|
Contribution of Final Examination to Overall Grade |
|
40 |
|
|
Contribution of In-Term Studies to Overall Grade |
|
60 |
|
|
Total |
|
100 |
|
Course’s Contribution to Program
| COURSE'S CONTRIBUTION TO PROGRAM | |||||||
| No | Program Learning Outcomes | Contribution | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Mastering the major concepts, theoretical perspectives, and historical trends of psychology as a scientific discipline. | x | |||||
| 2 | Demonstrating familiarity with the subfields of psychology and their methods and applications. | X | |||||
| 3 | Incorporating the theories and empirical bases of psychology. | X | |||||
| 4 | Comparing the similarities and differences of other scientific disciplines with psychology, understanding their potential contribution to psychology, and develop an awareness of interdisciplinary studies. | X | |||||
| 5 | Understanding the basic characteristics and principles of psychological research, and research ethics. | X | |||||
| 6 | Understanding the basic research methods in psychology, including research design, data collection, data analysis and interpretation by using recent information technologies. | X | |||||
| 7 | Designing and conducting research studies to answer psychological questions by using relevant research methods, knowledge and skills. | X | |||||
| 8 | Learning to access knowledge, to use it effectively, to review interdisciplinary literature, and to use the relevant database and other resources. | X | |||||
| 9 | Applying critical thinking and scientific approach to understand theories, research methods and applications in psychology. | X | |||||
| 10 | Developing analytical, critical and creative thinking and expression—being both logical and fluent. | X | |||||
| 11 | Developing an awareness of potential application areas of main research findings in psychology. | X | |||||
| 12 | Incorporating theoretical and practical knowledge in the area of psychology and its related areas of specialization. | X | |||||
| 13 | Learning the application areas and methods of psychology, and understanding the importance of the commitment to the professional code of ethics. | X | |||||
| 14 | Integrating psychological knowledge and theories to produce social, cultural and theoretical explanations within the framework of professional code of ethics. Exhibiting an awareness of social sensitivity and individual responsibility. | X | |||||
| 15 | Working effectively both as a team, as well as independently. | x | |||||
| 16 | Thinking, reading, writing, and communicating in English effectively. | x | |||||
ECTS
| ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION | |||
| Activities | Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Course Duration (Including the exam week: 14x Total course hours) | 14 | 3 | 42 |
| Hours for off-the-classroom study (Pre-study, practice) | 14 | 3 | 42 |
| Mid-Term | 2 | 6 | 124kI |
| Quiz | 3 | 6 | 18 |
| Homework | 2 | 10 | 20 |
| Final Examination | 1 | 15 | 15 |
| Total Work Load | 149 | ||
| Total Work Load / 25 (h) | 5,96 | ||
| ECTS Credit of the Course | 6 | ||