Practicum SPSS Handleiding Inleiding Statistiek
Assignment 1
Data View – cijfers per variabele
Variable View – betekenis variabele
o Name – naam van de variabele
o Label – operationalisatie van de variabele
o Values – codering van de variabele (0=man 1=vrouw)
o Measure – meetniveau van de variabele (nominal)
Assignment 2
Frequency distribution : Analyze → Descriptive Statistics → Frequencies.
Histogram: Graphs→ Legacy Dialogs→ Histogram + Display Normal Curve
Min-Max table - analyze descriptive statistics descriptives add variable click ‘options’
to add other measure (variance).
Finding Error: buiten de grens vallen sort data file by a variable p. 48-49
data sort cases select variable select ‘ascending’ for lower values at the top or
‘descending’ for higher values at the top.
Splitten : Data→ Split File→ Compare Groups
Assignment 3
Compute new value We will now compute the value of a new variable named vmat12
for each participant. You can compute new variables by choosing Transform→ Compute
Variable. In the upper left you specify the name of the new variable: vmat12 . In the
“Numeric Expression” field enter the following formula: vmat1 – vmat2
Recoding To recode a variable, choose Transform→ Recode into Different
Variables. Select as the first input variable vmat12 and name the first output variable
vmat12rec . Click ‘Change’. Select as the second input variable vmat31 and name the
second output variable vmat31rec Click ‘Change’.
Missing values - data view fill 99 for missing values.
Assignment 4
Scatterplot graphs -> legacy dialogs -> scatter/dot . SPSS opens a new window.
Choose a simple scatter plot and click on define.
Assignment 5
Valide percentage berekenen variabele delen door totale frequentie (minus de missers)
Percentage No Stress: 253/780 = 32.4%
Valide percentage: zonder missing --> 253/770 = 32.9%
Percentage is obtained by dividing the observed frequency by the total NN (including
respondents with a missing value), whereas Valid Percentage is obtained by dividing the
observed frequency by the number of respondents with a valid score (thus, not counting the
persons who had a missing value).
Assignment 1
Data View – cijfers per variabele
Variable View – betekenis variabele
o Name – naam van de variabele
o Label – operationalisatie van de variabele
o Values – codering van de variabele (0=man 1=vrouw)
o Measure – meetniveau van de variabele (nominal)
Assignment 2
Frequency distribution : Analyze → Descriptive Statistics → Frequencies.
Histogram: Graphs→ Legacy Dialogs→ Histogram + Display Normal Curve
Min-Max table - analyze descriptive statistics descriptives add variable click ‘options’
to add other measure (variance).
Finding Error: buiten de grens vallen sort data file by a variable p. 48-49
data sort cases select variable select ‘ascending’ for lower values at the top or
‘descending’ for higher values at the top.
Splitten : Data→ Split File→ Compare Groups
Assignment 3
Compute new value We will now compute the value of a new variable named vmat12
for each participant. You can compute new variables by choosing Transform→ Compute
Variable. In the upper left you specify the name of the new variable: vmat12 . In the
“Numeric Expression” field enter the following formula: vmat1 – vmat2
Recoding To recode a variable, choose Transform→ Recode into Different
Variables. Select as the first input variable vmat12 and name the first output variable
vmat12rec . Click ‘Change’. Select as the second input variable vmat31 and name the
second output variable vmat31rec Click ‘Change’.
Missing values - data view fill 99 for missing values.
Assignment 4
Scatterplot graphs -> legacy dialogs -> scatter/dot . SPSS opens a new window.
Choose a simple scatter plot and click on define.
Assignment 5
Valide percentage berekenen variabele delen door totale frequentie (minus de missers)
Percentage No Stress: 253/780 = 32.4%
Valide percentage: zonder missing --> 253/770 = 32.9%
Percentage is obtained by dividing the observed frequency by the total NN (including
respondents with a missing value), whereas Valid Percentage is obtained by dividing the
observed frequency by the number of respondents with a valid score (thus, not counting the
persons who had a missing value).
