Analysis of Behavioral Data
The American College of Greece
Area of Study
Taught In English
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Recommended U.S. Semester Credits4
Recommended U.S. Quarter Units6
Hours & Credits
A comprehensive coverage of fundamental aspects in probability and statistics. Analysis of behavioral data with graphs, descriptive and inferential statistics. Interpretation of research findings from graphs, parametric and non-parametric tests. The use of SPSS statistical software constitutes an integral part of teaching and learning. Laboratory sessions complement the lectures.
This course provides students with the basic knowledge of statistics and their application to research in the field of social sciences. Students will gain an understanding of the underlying conceptual processes and assumptions of different statistical procedures, use this knowledge appropriately to choose statistical tests and gain familiarity performing these procedures with SPSS statistical software. This background knowledge is essential in allowing students to critically evaluate empirical findings in research papers and to make informed decisions in the selection of statistical tests conducting their own research in advanced modules of psychology. It is appropriate for students who have completed one 1000-level course from the psychology or sociology programme.
As a result of taking this course, the student should be able to:
1. Apply and interpret descriptive statistics commonly used in psychological research
2. Develop an understanding of the logic of hypothesis testing and its role in the research process.
3. Develop and apply computer skills to perform analyses with SPSS software.
4. Acquire knowledge on fundamental statistical concepts and tools useful for applications in psychological research.
5. Comprehend, synthesize and interpret output from statistical analyses, as well as write reports of the results of the statistical analyses giving summaries and conclusions.
6. Develop critical and analytical thinking skills appreciating the strengths and limitations of statistics in scientific/empirical research.
METHOD OF TEACHING AND LEARNING:
In congruence with teaching and learning strategy of the college, the following tools are used:
- The course is delivered through lectures and practical workshops where SPSS will be a teaching aid as well as a medium for solving problems.
- Lab component, an integral part of the course, is designed to give students hands-on experience with statistical package and data analysis (SPSS and Excel). Lab assignments will be given each period to be completed during the lab session. This will allow students to assimilate and consolidate material covered in lectures.
- Office hours
- Use of Blackboard site