Basic Introduction Course

Basic Introduction Course

on SPSS

3 – 5April2017

vs 170309

This basic introduction course on the statistical computer program SPSS will deal in a step-by-step way with several elements of SPSS.

Location & Time:

Monday 3April:computer room OWR-22Time:9.15 - 14.15

Tuesday 4Aprilcomputer room OWR-22Time:9.15 - 14.15

Wednesday 5 Aprilcomputer room OWR-22Time:9.15 - 14.15

Audience

This course is meant for (PhD-)students who have absolutely no knowledge of statistics and/or SPSS. Participants who already took a course in statistics (e.g. the Nihes course) will learn nothing new at this course.

Registration feeRegistration of this course is free for all PhD-studentsfrom the Erasmus MC, including all members of the research School MolMed.

(Non-commercial) participants from outside the Erasmus MCneed to pay€400,00
However, PhD-students, postdocs and MSc-students will receive a 50% discount and will be charged: €200,00.
MSc-students who have to pay the fee by themselves, receive a 75% discount and need to pay €100,00.

If this fee poses a problem but you still wish to participate, please contact Dr. Frank van Vliet, Managing Director of the MolMed School, at:

Teachers

dr. Sanne Hoeks, dept. of Anaesthesiology, Erasmus MC

drs. Sara Baart, dept. of Cardiology, Erasmus MC

With the assistance of

Nermina Buljubasic & Milos Brankovic, dept. of Cardiology, Erasmus MC

More information

For more information and registration, go to: or contact Frank van Vliet or Bernadet Voskuilen, secretary of the School. Tel. +31(0)10 70 380 53;

e-mail:.

ECTS

For this course you will receive a certificate of attendance with 1,0 ECTS for full participation

Detailed course program

DAY 1: 3 April2017, Computer roomOWR-22

Time

Title

/ Keywords / Teacher

8.45 – 9.15

/ Registration with coffee & tea
9.15 – 10.00 / Introduction / Introduction to the program SPSS
Basic principles of Statistics

- Population & sample

- Distribution

- Normal distribution
Descriptive statistics
- Descriptive and inferential statistics
- Categorical variables
- Numerical variables / Sanne Hoeks/
Sara Baart
10.00 – 10.50 / Summarising and Presenting Data / Measures of Central Tendency
-Frequencies
-Mean
-Median
Variability
- Distribution
- Standard Deviation
- Range / Sanne Hoeks/
Sara Baart
10.45 – 11.00 / Coffee Break
11.00 – 11.45 /

PRACTICAL

‘Descriptive statistics’

/ - Starting SPSS
Types of Data
- Categorical data
- Numerical data (continuous, discrete) / Sanne Hoeks/
Sara Baart
with assistance
11.45 – 12.00 / Introduction in using syntax / Sanne Hoeks/
Sara Baart
12.00 – 12.45 / Lunch (room Ae-4.06)
12.45 – 14.15 / PRACTICAL
‘Summarising and presenting data’ / - Frequencies and categorical data
- Distribution of continuous data
- Measures of central tendency
- Quantifying Variability / Sanne Hoeks/
Sara Baart
with assistance
DAY 2: 4April2017, Computer roomOWR-22

Time

Title

/ Keywords / Teachers
9.15 – 10.00 /

Inferential statistics

- Basic principles of statistical testing

- Decisions and Reality
- Significance
- Clinical relevance / Sanne Hoeks/
Sara Baart
10.00 – 10.50 /

Comparison of two groups

- Comparison of two means (T-Test)

- Non-parametric comparison of two means (Mann Whitney U)

- Comparison of two proportions (Chi-Square test) / Sanne Hoeks/
Sara Baart
10.50 – 11.00 /

Coffee Break

Schedule continues on following page.

DAY 2: 4April2017, Computer roomOWC-22(continued)

Time

Title

/ Keywords / Teachers
11.00 – 11.45 / PRACTICAL
‘Association Analysis’ / - Chi-Square Test
- Parametric ANOVA (T-Test)
- Non-parametric comparison of two means (Mann Whitney U Test)
- Correlations / Sanne Hoeks/
Sara Baart
with assistance
11.45 – 12.45 / PRACTICAL
‘Practical Issues’ / - Syntax for log-transformation of variables
- Exporting output to Excel
- Importing Data from Excel / Text Files
- Transformation of Variables / Sanne Hoeks/
Sara Baart
with assistance
12.45 – 13.30 / Lunch (opposite Douwe Egberts corner)
13.30 – 14.15 / Regression analysis / - Introduction to linear regression: basic theory and interpreting the output / Sara Baart
DAY 3: 5 April 2017, Computer roomOWR-22

Time

Title

/ Keywords / Teachers
9.15 – 10.00 /

Regression analysis

/ - Linear regression analysis: assumptions and multiple linear regression / Sara Baart
10.00 – 10.50 /

PRACTICAL

‘Regression Analysis’

/ - Linear Regression / Sara Baart
with assistance
10.50 – 11.00 /

Coffee Break

11.00 – 11.45 /

Regression Analysis

/ - Logistic Regression
- Assumptions
- Prerequisites
- Interpreting the output / Sara Baart
11.45 – 12.30 /

PRACTICAL

‘Regression Analysis’

/ - Linear and Logistic Regression / Sara Baart
with assistance
12.30 –13.15 / Lunch (opposite Douwe Egberts corner)
13.15 – 14.15 / PRACTICAL(cont.)
‘Regression Analysis’ / - Linear and Logistic Regression / Sara Baart
with assistance