How do you interpret independent t-test results in SPSS?
To interpret the t-test results, all you need to find on the output is the p-value for the test. To do an hypothesis test at a specific alpha (significance) level, just compare the p-value on the output (labeled as a “Sig.” value on the SPSS output) to the chosen alpha level.
What is t-test for independent samples?
The Independent Samples t Test compares the means of two independent groups in order to determine whether there is statistical evidence that the associated population means are significantly different. The Independent Samples t Test is a parametric test. This test is also known as: Independent t Test.
How do you summarize t-test results?
The basic format for reporting the result of a t-test is the same in each case (the color red means you substitute in the appropriate value from your study): t(degress of freedom) = the t statistic, p = p value. It’s the context you provide when reporting the result that tells the reader which type of t-test was used.
What if P value is 0?
P value 0.000 means the null hypothesis is true. Anyway, if your software displays a p values of 0, it means the null hypothesis is rejected and your test is statistically significant (for example the differences between your groups are significant).
How to enter data into SPSS for an independent samples t-test?
You will use the first two columns of your SPSS data file to enter the data for the independent samples t-test. The first column In this column, you should type in two different numbers to represent each of your two conditions. For example, you could use the numbers 1 and 2 to represent your two conditions.
Do you need to inspect dependent variables in SPSS?
However, if you run a t-test on other data, you should at least inspect some histograms of your dependent variable (s). Make sure their distributions look plausible. If they contain any extreme values, specify them as user missing values. Running an independent samples t-test in SPSS is pretty straightforward.
How is an independent t test used in statistics?
The independent-samples t-test (or independent t-test, for short) compares the means between two unrelated groups on the same continuous, dependent variable.
Can you test for normality using SPSS Statistics?
We talk about the independent t-test only requiring approximately normal data because it is quite “robust” to violations of normality, meaning that this assumption can be a little violated and still provide valid results. You can test for normality using the Shapiro-Wilk test of normality, which is easily tested for using SPSS Statistics.