Name: Paired-Samples T-Test
SKU: 440
Price: 10.00 EUR
Availability: InStock

€10,00

The Paired-Samples T-Test
Product Name
The Paired-Samples T-Test is used to determine whether two related measurements of the same group 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!
-> Name of the 1st paired variable
Type the name of the first variable.
-> Name of the 2nd paired variable
Type the name of the second variable.
This is all that is needed to email you the results of your Paired-Samples T-Test!
You can specify some additional options in step 3, or directly scroll down to the check-out in step 4.
Step 3: Assumptions and other options (OPTIONAL)
• Normality check •
The paired differences of the two variables need to follow an (approximate) normal distribution. Check one or more of the boxes to assess this assumption of normality.
- Histogram
- Boxplot
- Skewness and Kurtosis
- Tests of normality (Kolmogorov S-test and Shapiro W-test)
• 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!

Subtotal
Options
Total

Category: SPSS Tests

Description
Reviews (0)

Description

The Paired-Samples T-Test is used to find out whether two related measurements from the same group or units are different or not. These two measurements typically represent different times (e.g. a pre- and post measurement with a treatment between them) or two different but related conditions. The Paired-Samples T-Test needs two related continuous variables that both are measured on the exact same scale. The main assumption to be tested statistically is that the paired differences should follow an (approximate) normal distribution.

Reviews

There are no reviews yet.

Be the first to review “Paired-Samples T-Test”

Description

Reviews

Related products

Logistic Regression Analysis

Chi-Square Test

Correlation Analysis

McNemar Test