Category:Tests Of Statistical Significance
|Related Online Training modules|
|Automatic Tests of Statistical Significance|
|Significance Tests on Grids|
|Type 1 Error|
|Non-Proportional Sampling Weights|
|Planned Tests of Statistical Significance|
|ANOVA with Post Hocs|
|ANOVA Repeated Measures with Post Hocs|
|Generally it is best to access online training from within Q by selecting Help : Online Training|
Basic mechanics of Q's testing
The basic process of statistical in Q works as follows:
- The user specifies the relationships to be tested.
- Q computes a p-Value
- Results are highlighted as significant if
- If a Rule has been applied, this is then used and may replace the results computed in the previous steps.
See Overview of Statistical Testing in Q for more detail.
Reading Tables and Interpreting Significance Tests
Basic tips for interpreting most tables can be obtained by selecting Help and Interpret This Table.
Links to explanations of how to read the most common tables and their significance tests can be found here.
Statistical tests categorized by data type
- One Sample Tests - Proportions
- One Sample Tests - Means
- Independent Sample Tests - Comparing Two Proportions
- Independent Sample Tests - Comparing Two Means
- Related Samples Tests - Comparing Two Proportions
- Related Samples Tests - Comparing Two Means
- Correlations - Comparing Two Numeric Variables
- ANOVA-Type Tests - Comparing Three or More Groups
- Statistical Tests for Experiment Questions
- Statistical Tests for Ranking Questions
- Multivariate Tests
- Other Tests
Working out which test has been conducted
To work out which test has been conducted on the cell of a table:
- Check to see if any Rules have been applied. If they have, review their documentation.
- Select that cell and press (see Planned Tests of Statistical Significance).
This category has the following 2 subcategories, out of 2 total.
- [×] Create Tests (8 P)
Pages in category "Tests Of Statistical Significance"
The following 132 pages are in this category, out of 132 total.