SPSS – MTO-D
Session 1: Reliability Analysis
Assignment 1: Tolerance Scale
In this assignment, you will evaluate the reliability of the tolerance scale.
Use evs.sav
run a reliability analysis in SPSS: Go to Analyze→ Scale→ Reliability Analysis
In dit geval, sleep alle items of the tolerance scale (v225 through v242) into the Items window
(Hint: Right-click in the Items window and choose “Display variable names” to get the names of
the items)
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.
the syntax:
RELIABILITY
/VARIABLES=v225 v226 v227 v228 v229 v230 v231 v232 v233 v234 v235 v236 v237
v238 v239 v240 v241 v242
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE SCALE CORR
/SUMMARY=TOTAL.
First you need to check whether you need to reverse code one or more items. Look at the Inter-
Item Correlation Matrix to see whether all items are positively correlated with each other. If one or
more items are negatively correlated with the rest, they are probably formulated in the reversed
direction which means you need to recode them.
Hieronder is de Inter-Item Correlation Matrix:
Do you have to recode (an) item(s)? NO
When we look at the correlation table, we can see that there are only positive correlations
among items. A high positive correlation means that if a respondents scores high (low) on one
items 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.
, In the Reliability Statistics table you can see Cronbach’s alpha, which is an estimation of the
reliability of the scale.
What is the Cronbach’s alpha of the tolerance scale?
So, the Cronbach’s alpha of the tolerance scale is 0,864
Now look at the Item-Total Statistics table and the Inter-Item Correlation Matrix.
Do all items contribute positively to the reliability of the scale?
Which item contributes the most to the reliability of the scale?
- All items contribute positively to the reliability of the scale – all corrected item-total
correlations are positive and above .3 and Cronbach’s alpha if item deleted is lower than
Cronbach’s alpha of the whole scale (0.864) for all items.
Session 1: Reliability Analysis
Assignment 1: Tolerance Scale
In this assignment, you will evaluate the reliability of the tolerance scale.
Use evs.sav
run a reliability analysis in SPSS: Go to Analyze→ Scale→ Reliability Analysis
In dit geval, sleep alle items of the tolerance scale (v225 through v242) into the Items window
(Hint: Right-click in the Items window and choose “Display variable names” to get the names of
the items)
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.
the syntax:
RELIABILITY
/VARIABLES=v225 v226 v227 v228 v229 v230 v231 v232 v233 v234 v235 v236 v237
v238 v239 v240 v241 v242
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE SCALE CORR
/SUMMARY=TOTAL.
First you need to check whether you need to reverse code one or more items. Look at the Inter-
Item Correlation Matrix to see whether all items are positively correlated with each other. If one or
more items are negatively correlated with the rest, they are probably formulated in the reversed
direction which means you need to recode them.
Hieronder is de Inter-Item Correlation Matrix:
Do you have to recode (an) item(s)? NO
When we look at the correlation table, we can see that there are only positive correlations
among items. A high positive correlation means that if a respondents scores high (low) on one
items 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.
, In the Reliability Statistics table you can see Cronbach’s alpha, which is an estimation of the
reliability of the scale.
What is the Cronbach’s alpha of the tolerance scale?
So, the Cronbach’s alpha of the tolerance scale is 0,864
Now look at the Item-Total Statistics table and the Inter-Item Correlation Matrix.
Do all items contribute positively to the reliability of the scale?
Which item contributes the most to the reliability of the scale?
- All items contribute positively to the reliability of the scale – all corrected item-total
correlations are positive and above .3 and Cronbach’s alpha if item deleted is lower than
Cronbach’s alpha of the whole scale (0.864) for all items.
