Posts filed under '3b. Heavy statistics with SPSS'
We get a lot of questions about regression analysis. We have dug into this and decided to write a post about it, so we can help everyone with this.
You do a regression when you assume that a variable is influencing another one, like in the following example: We assume that cars that run on Diesel have higher costs.
To test this assumption, we run a Linear Regression in SPSS. Take the following steps:
- Define your dependent and independent variable. In our example Fuel is the indepent variable and Costs is the dependent one.
- Click Analyze
- Go to Regression and click Linear
- Click “Fuel” into the Independent variable field, and “Costs” into the Dependent variable field.
August 21st, 2006
andris
Many visitors of our blog are searching for information about the one sample t-test.
You perform a one-sample t-test when you want to determine if the mean value of a target variable is different from a hypothesized value.
To perform a one-sample t-test in SPSS. Choose Analyze>Compare Means>One-sample t-test.
Move the variable of interest to the Test variable(s) box. Change the test value to the hypothesized value. Click the OK button.
The output from this analysis will contain the following sections.
One-Sample Statistics. Provides the sample size, mean, standard deviation, and standard error of the mean for the target variable.
April 26th, 2006
mark
Ivy sent us an e-mail about investigating the interaction effect of independent variables. MANOVA (multivariate analysis of variance) is a statistical procedure that allows you to determine if a set of categorical predictor variables can explain the variability in a set of continuous response variables.
In SPSS you can perform a MANOVA as follows:
- Choose Analyze -> General Linear Model -> Multivariate.
- Move the DVs (dependent variables) you want to examine to the Dependent Variables box.
- Move any categorical IVs (independent variables) to the Fixed Factor(s) box.
- Move any continuous IVs to the Covariate(s) box.
- Click OK and there you have your output.
April 25th, 2006
andris
Zakya asked us another question. After getting his Excel data into SPSS, he wanted to find possible correlations between a couple of variables. Zakya, please find below an explanation on finding correlations using the Pearson correlation analysis.
The Pearson correlation analysis test can be used to find correlations between responses of nominal variables.
This is a preview of Finding correlations using the Pearson correlation analysis.
. Read the full post (287 words and 2 images, estimated 1:09 mins reading time)
April 11th, 2006
mark
This week Nouredine sent us the following question:
“I would like to receive some information and instructions on how i can
conduct an analyse on SPSS with an output that is a priority matrix (
relevance vs score).”
A priority matrix, also called “Quadrant analysis” or “Importance-Performance Analysis (IPA)”, is a comparison chart which shows the importance ranking and the mean satisfaction of a number of elements. In SPSS there is no graph that has the same name, but you can get this kind of matrix by creating a Scatter plot. In our previous post your find a link to a video instruction on how to make a scatter plot.
Permanent link to this post (111 words, estimated 27 secs reading time)
April 5th, 2006
andris