Figure 1
Look and feel of the MUFOS user interface for one option.
Figure 2
Examples of input files and the resultant output files after processing with MUFOS. 1A presents a sample raw data input file and a formatted multiple regression table; 1B presents a sample input file for correlations from summary statistics and a formatted correlation table; 1C presents a sample input file for independent samples t-test from summary statistics and a formatted table; 1D presents a sample SPSS Statistics input file for paired samples t-test and the resultant formatted table; 1E presents a sample p values input file and the resultant output table.
Figure 3
Flowchart of MUFOS architecture. On submit, three subsequent processes are executed – setting global variables, validating input and then main flow is started. The main flow consists of five subsequent steps – reading the raw data, modifying it, creating an output dataframe, applying a multiple tests correction and finally saving the output.
Figure 4
A three-step process to run a correlational analysis using user interface driven tools. 4A shows the default SPSS output for a correlations table; 4B shows the copied variable names and p values within a publicly available template spreadsheet for applying a Benjamini-Hochberg correction; 4C provides an example APA-formatted table which is produced by manually copying over the results from the previous steps.
Figure 5
Options to be selected in MUFOS to recreate the three-step process from Figure 4.
Table 1
Example APA-formatted correlations table from MUFOS with Benjamini-Hochberg correction applied, values placed in the lower triangle and with 95% confidence intervals.
| VAR1 | VAR2 | VAR3 | VAR4 | VAR5 | VAR6 | VAR7 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| var2 | .33 | ** | ||||||||||||
| [.25, .41] | ||||||||||||||
| var3 | .27 | ** | .20 | ** | ||||||||||
| [.19, .35] | [.11, .28] | |||||||||||||
| var4 | .20 | ** | .23 | ** | .10 | * | ||||||||
| [.12, .29] | [.14, .31] | [.01, .19] | ||||||||||||
| var5 | .33 | ** | .30 | ** | .74 | ** | .70 | ** | ||||||
| [.25, .41] | [.22, .38] | [.70, .78] | [.66, .75] | |||||||||||
| var6 | –.08 | –.00 | –.69 | ** | .59 | ** | –.09 | |||||||
| [–.17, .01] | [–.09, .09] | [–.73, –.64] | [.53, .64] | [–.18, –.00] | ||||||||||
| var7 | .02 | .03 | .02 | .07 | .07 | .02 | ||||||||
| [–.07, .10] | [–.06, .11] | [–.07, .11] | [–.02, .16] | [–.02, .16] | [–.07, .10] | |||||||||
| var8 | .03 | .11 | * | .00 | .02 | .02 | –.01 | .76 | ** | |||||
| [–.06, .12] | [.02, .19] | [–.09, .09] | [–.07, .10] | [–.07, .11] | [–.10, .08] | [.72, .80] | ||||||||
[i] ** p < 0.01, * p < 0.05.