SPSS test, MTO-D, Emma Hamm 2078889
SPSS test, MTO-D
SPSS - 1
Reliability analysis......................................................................................................................... 1
Recoding items.............................................................................................................................. 1
Contribution of items to the reliability of scale............................................................................... 2
Most related items......................................................................................................................... 2
Scale scores.................................................................................................................................. 2
Compute variables.........................................................................................................................3
SPSS - 2
Principal component analysis (PCA)............................................................................................. 4
Kaiser-Meyer-Olkin Measure (KMO) and Bartlett’s test of sphericity............................................ 4
Communalities............................................................................................................................... 5
Eigenvalues of the components.....................................................................................................5
Component loading........................................................................................................................5
Kaiser rule......................................................................................................................................5
Rotation......................................................................................................................................... 6
Items belonging together............................................................................................................... 7
Sum scores of scales.....................................................................................................................7
Correlation between scales........................................................................................................... 8
Principal axis factoring (PAF).........................................................................................................8
Choosing factors based on the scree plot................................................................................... 10
Varimax & oblimin rotation........................................................................................................... 10
, SPSS test, MTO-D, Emma Hamm 2078889
SPSS - 1
Reliability analysis
Start this tutorial by running a reliability analysis in SPSS. You do this as follows:
Go to Analyze > Scale > Reliability Analysis and drag all items of the tolerance scale
(v225through v242) into the Items window (Right-click in the Items window and choose “Display
variable names” to see the names of the items).
Then click on the Statistics button and enable the following options before you paste the syntax:
● Item, Scale and Scale if item deleted in Descriptives for
● Correlations in Inter-Item
Click on Continue, and paste and run the syntax
Recoding items
→ looking at inter-item correlation matrix
- Only positive correlations? No recoding
A high positive correlation means that if a respondent scores high (low) on one item, he
or she will also score high (low) on the remaining items. This is indicative for items that
measure the same thing (the same construct) and that no items have to be recoded.
- Negative correlations for only one item? Recoding
Transform > Recode into different variables (or Compute) to reverse the coding of those
variables.
→ than; rerunning the reliability analysis
1
SPSS test, MTO-D
SPSS - 1
Reliability analysis......................................................................................................................... 1
Recoding items.............................................................................................................................. 1
Contribution of items to the reliability of scale............................................................................... 2
Most related items......................................................................................................................... 2
Scale scores.................................................................................................................................. 2
Compute variables.........................................................................................................................3
SPSS - 2
Principal component analysis (PCA)............................................................................................. 4
Kaiser-Meyer-Olkin Measure (KMO) and Bartlett’s test of sphericity............................................ 4
Communalities............................................................................................................................... 5
Eigenvalues of the components.....................................................................................................5
Component loading........................................................................................................................5
Kaiser rule......................................................................................................................................5
Rotation......................................................................................................................................... 6
Items belonging together............................................................................................................... 7
Sum scores of scales.....................................................................................................................7
Correlation between scales........................................................................................................... 8
Principal axis factoring (PAF).........................................................................................................8
Choosing factors based on the scree plot................................................................................... 10
Varimax & oblimin rotation........................................................................................................... 10
, SPSS test, MTO-D, Emma Hamm 2078889
SPSS - 1
Reliability analysis
Start this tutorial by running a reliability analysis in SPSS. You do this as follows:
Go to Analyze > Scale > Reliability Analysis and drag all items of the tolerance scale
(v225through v242) into the Items window (Right-click in the Items window and choose “Display
variable names” to see the names of the items).
Then click on the Statistics button and enable the following options before you paste the syntax:
● Item, Scale and Scale if item deleted in Descriptives for
● Correlations in Inter-Item
Click on Continue, and paste and run the syntax
Recoding items
→ looking at inter-item correlation matrix
- Only positive correlations? No recoding
A high positive correlation means that if a respondent scores high (low) on one item, he
or she will also score high (low) on the remaining items. This is indicative for items that
measure the same thing (the same construct) and that no items have to be recoded.
- Negative correlations for only one item? Recoding
Transform > Recode into different variables (or Compute) to reverse the coding of those
variables.
→ than; rerunning the reliability analysis
1
