How do you do inter item correlation in SPSS?
In the dialog box, click Statistics. In the box description, select Item, Scale, and Scale if item deleted. In the inter-item box, select Correlation. Click Continue and then OK to generate the output.
How do you calculate items in SPSS?
Using the Compute Variables Dialog Window
- Click Transform > Compute Variable.
- In the Target Variable area, type a name for the new variable that will be computed; let’s call the new variable any_yes.
- In the Numeric Expression box, enter the expression.
- Click OK to complete the computation.
How do you do a scale score in SPSS?
In Data View, go to: Transform, Compute Variable. In the field “Target Variable”, type the name of your new variable (AbTotal). Click the button “Type and Label”. Enter the label that you are giving to your new variable and make sure that the “numeric” box is checked.
Is Likert scale ordinal?
Likert scales fall within the ordinal level of measurement: the categories of response have directionality, but the intervals between them cannot be presumed equal.
How do you interpret inter-item correlation?
Inter-item correlation values between 0.15 to 0.50 depicts a good result. lower than 0.15 means items are not correlated well. Value higher than 0.50 means that items are correlated to a greater extent and the items may be repetitive in measuring the intended construct.
How does SPSS calculate string variables?
SPSS’ string function converts numeric values to string values. Its most basic use is compute s2 = string(s1,f1). where s2 is a string variable, s1 is a numeric variable or value and f1 is the numeric format to be used.
How do you use aggregate in SPSS?
To perform this aggregation in SPSS, from the Data tab, select Aggregate. Once the “Aggregate” window appears, enter the ID into the “Break Variable” box, enter the weight and calories into the “Summaries of Variable” box, and then click OK. Notes: The break variable(s) are the variables you would like to summarize by.
How do you calculate scale score?
Specifically, a mean scale score is calculated by adding all individual student scores and dividing by the number of total scores.