Statistical data analysis with SPSS for Life Science Researchers
This course is an introduction to statistical methods and statistical software. The course participant learns to handle the statistical software SPSS. On the basis of various practical examples, the participants learn to analyse and visualize data and how to interpret results. A main goal is to show participants the importance of quality control, assessing assumptions and ensuring adequate sample size. Upon successful completion of this course, participants will be familiar with basic statistical methods and will be able to interpret statistical analysis. The participants will have the ability to choose the suitable statistical analysis method for different data sets.
Getting started with SPSS, data management, exploratory data analysis, outlier diagnostics, common plots, analysis of categorical data
Hypothesis testing, type I and II errors, sample size, effect size, power calculation, confounding factors, Comparing means: t-test, multiple testing, one-factor-ANOVA, Mann-Whitney, Wilcoxon, Kruskal-Wallis, Friedman analysis of ranks, scientific presentation of results
one-way ANOVA, factorial ANOVA, repeated measures ANOVA, MANOVA, ANCOVA
Pearson, Spearman, Partial correlations, simple linear regression, multiple linear regression, binary logistic regression, scientific presentation of results
Teaching and learning method: 20% lecture and 80% interactive
Languages of instruction: English or German
Target audience: PhD students, technicians and researchers
Entrance qualifications: no
Costs: 150 Euro (University)/ 300 Euro (Company) per day; 10% off for booking more than 2 days.
day 1-2: Feb 6th 2017
day 3-4: Feb, 20th 2017
As the number of participants is limited (min. 3 and max. 8), please register early to confirm your seat!
Day 1: February 15th 2017 (9 am - 4 pm)
Day 2: February 16th 2017 (9 am - 4 pm)
Day 3: March 1st 2017 (9 am - 4 pm)
Day 4: March 2nd 2017 (9 am - 4 pm)
ZMF seminar room ground floor EG-087
Tel: +43 (0)316 385-73001
Center for Medical Research (ZMF)
Stiftingtalstrasse 24, A-8010 Graz