454273bg
Steekproef trekken
1. Download the syntax file from Canvas and save the file ***.sps.
2. Download the ***.sav data file from Canvas -> Practical Course Psychometrics ->
3. Modules -> Assignments -> Datasets, Syntax, and Forms and open it in SPSS.
4. Open the syntax file ***.sps in SPSS. FILE->OPEN->SYNTAX
5. Enter the number provided by your tutor after SET SEED = followed by a full-stop (.), e.g.:
SET SEED = 123456. Note: the number should always be followed by a FULL-STOP. If you
don't, it won't work. This rule ensures that each tutor group will have its own unique
dataset. Your tutor will be able to generate the same dataset later on and so be able to
check whether you carried out your assignments properly.
6. Then go to SAMPLE XXXX. For XXXX, please fill in the size of the sample. This changes with
each assignment.
7. Now click RUN->ALL or select all syntax and click on the green run button.
General SPSS Skills
Select cases
-Wanneer je met specifieke variabelen wilt werken.
Data > select cases
Sort cases
-Wanneer je je variabelen wilt sorteren
Data > sort cases
Compute variable
-Wanneer je gemiddeldes bv van variabelen wilt weten
Transform > compute variable
Recode into same/different variable
-Wanneer je bestaande data wilt veranderen
Transform > recode into different variables
Split file
-Wanneer je een subset van je dataset wilt analyseren
Data > split file > compare groups
Crosstabs
-Wanneer je de proporties tussen 2 variabelen per subgroep wilt weten
Analyze > Descriptive statistics > Crosstabs
1
, 454273bg
Crosstabs with percentages
Analyze > Descriptive statistics > Crosstabs > Cells (percentages) & observed onklikken
Pearson Correlation
-Wanneer je de associatie tussen 2 variabelen wilt weten (interval of ratio level)
Analyze > Correlate > Bivariate > Pearson > Two-tailed > Flag significant correlations klikken
Regressie
-Wanneer je de waarde van een variabele met een andere variabele wilt voorspellen, als je
de associatie al weet. Je maakt eerst een scatterplot om te kijken of het lineair is.
Graphs > Legacy > Scatter plot > Simple scatter
Analyze > Regression > Lineair
R geeft de correlatie aan. Standard Error of Estimate: hoe kleiner, hoe accurater. De
unstardized coefficent Beta is de Y intercept (startgetal) > 91.308. Daaronder vind je de
helling > 0.134.
Multiple regressie
-Wanneer je meerdere onafhankelijke variabelen hebt
Analyze > Regression > Multiple
Normaliteitsassumptie testen
-Wanneer je de normale verdeling wilt testen
Analyze > Descriptive statistics > Explore > variabelen onder dependent list > plots (histogram
en normality plots with tests klikken)
One-Way ANOVA & Post Hoc Testing
-Wanneer je de gemiddeldes van meer dan 2 groepen wilt testen (verschillen in de groepen)
Analyze > Compare Means > One way Anova > options (descriptive, homogeneity, welch,
brown, means plot, exclude cases analysis) (> Post Hoc eventueel > Tukey > significance level)
Two-Way ANOVA
Analyze > General Lineair model > Univariate > Plots (Horizontal & Separate lines)
2
Steekproef trekken
1. Download the syntax file from Canvas and save the file ***.sps.
2. Download the ***.sav data file from Canvas -> Practical Course Psychometrics ->
3. Modules -> Assignments -> Datasets, Syntax, and Forms and open it in SPSS.
4. Open the syntax file ***.sps in SPSS. FILE->OPEN->SYNTAX
5. Enter the number provided by your tutor after SET SEED = followed by a full-stop (.), e.g.:
SET SEED = 123456. Note: the number should always be followed by a FULL-STOP. If you
don't, it won't work. This rule ensures that each tutor group will have its own unique
dataset. Your tutor will be able to generate the same dataset later on and so be able to
check whether you carried out your assignments properly.
6. Then go to SAMPLE XXXX. For XXXX, please fill in the size of the sample. This changes with
each assignment.
7. Now click RUN->ALL or select all syntax and click on the green run button.
General SPSS Skills
Select cases
-Wanneer je met specifieke variabelen wilt werken.
Data > select cases
Sort cases
-Wanneer je je variabelen wilt sorteren
Data > sort cases
Compute variable
-Wanneer je gemiddeldes bv van variabelen wilt weten
Transform > compute variable
Recode into same/different variable
-Wanneer je bestaande data wilt veranderen
Transform > recode into different variables
Split file
-Wanneer je een subset van je dataset wilt analyseren
Data > split file > compare groups
Crosstabs
-Wanneer je de proporties tussen 2 variabelen per subgroep wilt weten
Analyze > Descriptive statistics > Crosstabs
1
, 454273bg
Crosstabs with percentages
Analyze > Descriptive statistics > Crosstabs > Cells (percentages) & observed onklikken
Pearson Correlation
-Wanneer je de associatie tussen 2 variabelen wilt weten (interval of ratio level)
Analyze > Correlate > Bivariate > Pearson > Two-tailed > Flag significant correlations klikken
Regressie
-Wanneer je de waarde van een variabele met een andere variabele wilt voorspellen, als je
de associatie al weet. Je maakt eerst een scatterplot om te kijken of het lineair is.
Graphs > Legacy > Scatter plot > Simple scatter
Analyze > Regression > Lineair
R geeft de correlatie aan. Standard Error of Estimate: hoe kleiner, hoe accurater. De
unstardized coefficent Beta is de Y intercept (startgetal) > 91.308. Daaronder vind je de
helling > 0.134.
Multiple regressie
-Wanneer je meerdere onafhankelijke variabelen hebt
Analyze > Regression > Multiple
Normaliteitsassumptie testen
-Wanneer je de normale verdeling wilt testen
Analyze > Descriptive statistics > Explore > variabelen onder dependent list > plots (histogram
en normality plots with tests klikken)
One-Way ANOVA & Post Hoc Testing
-Wanneer je de gemiddeldes van meer dan 2 groepen wilt testen (verschillen in de groepen)
Analyze > Compare Means > One way Anova > options (descriptive, homogeneity, welch,
brown, means plot, exclude cases analysis) (> Post Hoc eventueel > Tukey > significance level)
Two-Way ANOVA
Analyze > General Lineair model > Univariate > Plots (Horizontal & Separate lines)
2
