PSYE302 Psychological Inference
Annotation:
This course is designed to help students develop the conceptual background and practical skills necessary to critically evaluate the statistics encountered in their coursework and in the psychological literature, and to begin conducting statistical analysis of empirical data. The course includes exercises within the following areas: scales, graphic representations, central tendency and variability, probability, the normal distribution, standard scores, correlation, hypothesis testing, basic nonparametric techniques, analysis of variance, and basic experimental design.
Lecturers:
Prof. Stefan Mateeff, DSc
Asst. Prof. Kiril Kostov, PhD
Course Description:
Competencies:
Students who complete this course:
1) will know:
• appropriate methods of statistical analysis depending on different experimental designs;
• common terminology in the analysis of psychological data;
• the fundamental logic behind statements and inferences from psychological data.
2) will be able to:
• carry out relevant analyses of data from psychological studies;
• present data and conclusions according to international standards;
• better understand and critically evaluate texts that contain data from psychological studies.
Prerequisites:
Good knowledge of high-school mathematics. Knowledge in statistics is welcome!
Types:
Full-time Programmes
Types of Courses:
Lecture
Language of teaching:
English
Topics:
Bibliography:
• Cumming G., Finch, S. (2005). Inference by eye. Confidence intervals and how to read pictures of data. American Psychologist, vol 60, 170-180.
• Goodwin, C. J. (2010). Research in psychology: Methods and design (6th ed.). Hoboken, NJ, US: John Wiley & Sons Inc.
• Stout, W.F., Marden, J., Travers, K.J. (2000) Statistics: Making sense of data. Moebius, Rantoul.
Assessment:
• Homework assignments – 20%
• Midterm exam – 40%
• Final exam – 40%