Name: Cochran’s Q Test
SKU: 459
Price: 10.00 EUR
Availability: InStock

€10,00

The Cochran's Q Test
Product Name
The Cochran's Q Test is used to determine whether more than two related binary measurements of the same group or population can be considered statistically different or not. When purchasing this analysis now, you will receive the results and explanations of your data within 3 hours!
Step 1: Upload your SPSS dataset (.sav file)*
Accepted file types: sav.
Step 2: Specify your variables
Specify the variables needed for the analysis. Important: Give the names exactly as they appear in your SPSS dataset!
How many related binary variables do you have?
-> Name of the 1st binary variable
Type the name of the first binary variable.
-> Name of the 2nd binary variable
Type the name of the second variable.
-> Name of the 3rd binary variable
Type the name of the third variable.
-> Name of the 4th binary variable
Type the name of the fourth variable.
-> Name of the 5th binary variable
Type the name of the fifth variable.
-> Name of the 6th binary variable
Type the name of the sixth variable.
This is all that is needed to email you the results of your Cochran's Q Test!
You can specify some additional options in step 3, or directly scroll down to the check-out in step 4.
Step 3: Other options (OPTIONAL)
• Select cases •
By default all cases in the dataset will be included, otherwise check one of the boxes to specify the criteria to select your cases.
- Select cases based on row numbers (example: select row … through …)
- Select cases if condition is satisfied (example: Age >= 18)
Select row ...
through …
Variable name
Operator
Variable value
• Syntax •
Check the box to receive the SPSS syntax file.
- Syntax
Anything to add?
Step 4: Proceed to the check-out
Click Add to cart to finalize your order and receive your SPSS results within 3 hours!

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Category: SPSS Tests

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Description

The Cochran’s Q test is used to find out whether more than two related binary measures from the same group or units are statistically different or not. Binary means that only values 0 and 1 are allowed. It is the extension of the McNemar Test to more than two measures. The Cochran’s Q Test assesses whether the proportion of value 1 is the same between the related measures. There are no assumptions to this test, however your sample size should be large enough.

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