ABE 007
ABE007 | Discovering Statistics Using SPSS
This course teaches the PhD candidate to process data, to make graphs, compute simple statistics and to analyze data using various statistical techniques by means of the statistical software package SPSS.
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- Data input in SPSS
- Types of variables
- Frequency tables
- Measurement level
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- Hypothesis testing
- Chi2 test and testing the assumptions
- Recode command
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- Pearson correlation coefficient and testing the assumptions
- Spearman correlation coefficient and testing the assumptions
- Making graphs: scatterplot and histogram
- Calculating standard deviation and variance
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- Independent samples t-test
- Mann-Whitney U test
- Effect size (Cohen’s d)
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- Regression analysis with one predictor
- The use of dummy variables
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- Regression with more than one predictor (multiple regression)
- Outliers and influential data points
- Assumptions
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- Analysis of variance (ANOVA)
- Kruskal-Wallis test
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- Summary, final quiz
- Discussion on pitfalls within statistical research
- Another topic that has come up during the course
Schedule fall 2019
| Date | Time | Location |
| 11 September 2019 | 13.00 - 16.00 | |
| 25 September 2019 | 13.00 - 16.00 | |
| 9 October 2019 | 13.00 - 16.00 | |
| 23 October 2019 | 13.00 - 16.00 | |
| 6 November 2019 | 13.00 - 16.00 | |
| 20 November 2019 | 13.00 - 16.00 | |
| 4 December 2019 | 13.00 - 16.00 | |
| 18 December 2019 | 13.00 - 16.00 |
Learning Objectives
After the course the PhD candidate will be able to make graphs and compute simple statistics, perform several statistical analyses and has knowledge about which statistical method to choose and how to apply it correctly. Furthermore the candidate will be able to use SPSS.
Teaching Method
Eight interactive sessions with lectures and computer exercises.
Cost Price of Course Material (per participant)
Literature:
- Field (2017), Discovering Statistics Using SPSS, Sage, 5th edition (about €55)
About the Lecturer(s)/Coach(es)
Sylvia Jansen works as assistant professor/methodologist in the department OTB - Research for the Built Environment of the faculty of Architecture and the Built Environment since 2004.
Course Data
Course code
ABE 007
Course type
Interactive course
Most appropriate for
PhD candidates at all stages
Costs
Free for PhD candidates of A+BE Graduate School
Number of participants
min. 10 /max. 26
Name of lecturer(s)/coach(es)
Dr. Sylvia J.T. Jansen (coordinator)
Course load
Roughly 100 (incl. preparations). Seven assignments are provided of which at least four have to be handed in for feedback. The PhD candidates are expected to study the literature in advance of each session.
Graduate School credits
4
Assessment
See 'course load'
Period
Twice yearly, from March and September onwards
Upcoming course dates and times
Fall 2019, see schedule
Enrolment
Via Brightspace
Alternative (similar to)
An basic alternative -your decision how knowledgeable you need to be on the matter- is this MSc course.