experiment

Designs
Statistics
SPSS
Testing
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References

Complete the form below to find out what test you need to run. The statistics decision trees are based off information from Cronk, B. (2011). How to use SPSS (7th ed.). Pyrczak.

This is not a comprehensive statistical test repository. It can only tell you about the most common and basic statistical tests, such as, ANOVAs, Chi Squared, Correlations, Regressions, and t-tests.

Note: If you receive a notice of "You should run a Unknown", please consult an advanced statistics book. Also the author of this website has made an effort to ensure the accuracy and completeness of the presented information, the author assumes no responsibility for any errors, missing information, inaccuracies, or inconsistencies.

Experiment Section:

1. How many dependent variables are there?

1 2 or more

2. What type of data are you working with?

Interval-There is no true zero, there are equal intervals throughout the scale, and negative scores are possible (i.e. 80.5 degrees Fahrenheit)

Ratio-There are equal intervals throughout the scale, and has a true zero so negative scores are not possible (i.e. 1 marble)

Ordinal-Ranking (i.e. 1st, 2nd, 3rd, and 4th)

Nominal-Categories (i.e. Male/Female)

3. Are there any covariates (variable(s) somehow related to the dependent variable) (i.e. Effect of gender on reaction time while considering age, with age being the covariate) or differences in in proportions or ranks?

No covariates exist

Covariates exist

Differences in proportions exist

Differences in ranks (i.e. 1st, 2nd, 3rd, and 4th) exist

Not applicable/I do not know

4. Are you comparing to an already known population (i.e. Comparing your pitch count to the average pitch count of major league pitchers)?

Yes

No

5. How many independent variables (the variable you are manipulating) (i.e. Type of training on driving scores) are there?

1 2 or more

Not applicable/I do not know

6. How many levels (versions) (i.e. Teens or adults in an age on reaction time study) or the independent variable are there?

2 3 or more

Not applicable/I do not know

7. What type of design are you using?

Between-Subjects (No repeated measures. Participants only get one variation of the independent variable)

Within-Subjects (Repeated measures. Participants get all variations of the independent variable in random order)

Mixed (Combination of BOTH between and within-subjects designs)

Not applicable/I do not know