Report values

135 numbers the reports of ALS Stats show, grouped by what they answer — each with its own page.

Find:

Comparing groups

Test variant welch
Variance ratio varRatio
Group size ratio balance
Test of equal variances Levene (based on median)
Posthoc comparisons Posthoc tukey test at CI
Mean difference Mean difference, meanDelta
Standard error of the difference Standard error of difference
Standard deviation of the differences sdDelta
Mean of the group Mean
Standard deviation of the group Sd
N N
Mean rank Mean Rank
Sum of ranks Sum of Ranks
Negative ranks Negative Ranks
Positive ranks Positive Ranks
Ties Ties

Test statistics and degrees of freedom

F statistic F
Degrees of freedom between groups dfBetween
Degrees of freedom within groups dfWithin
Degrees of freedom 1 df1
Degrees of freedom 2 df2
Degrees of freedom df
t statistic t
Likelihood-ratio chi-square Chi-square
Wald statistic Wald
F change F Change
z statistic z
Mann–Whitney U Mann-Whitney U
Wilcoxon W Wilcoxon W
Kruskal–Wallis H Kruskal-Wallis H
Statistic Statistic
Pearson chi-square chi2
Pearson Chi-Square Pearson Chi-Square
Continuity Correction (Yates) Continuity Correction
Likelihood Ratio Likelihood Ratio
Fisher's Exact Test Fisher's Exact Test
Linear-by-Linear Association Linear-by-Linear Association

Is it real or chance?

p-value p, Sig., Asymp. Sig., Approximate Significance
Adjusted p of the pair Adjusted p
Lower bound of the interval Lower
Upper bound of the interval Upper
p of the F change Sig. F Change
Confidence interval Confidence interval
Confidence level Level
Significance of the partial correlation Significance
Alternative hypothesis alternative
Exact significance Exact Sig.
Margin of error Margin of error (±)
Width of the interval CI Width
Estimate within the interval Estimate within CI

ANOVA table: sums and mean squares

How big is the effect?

Eta squared (η²) eta2
Omega squared (ω²) omega2
McFadden pseudo R² McFadden R Square
Cox & Snell pseudo R² Cox & Snell R Square
Nagelkerke pseudo R² Nagelkerke R Square
Classification accuracy Accuracy
Odds ratio Exp(B)
Multiple correlation R R
R² R Square
R² change R Square Change
Adjusted R² Adjusted R Square
Standardized coefficient β Beta
Correlation coefficient r r
Kendall’s tau-b tau
Partial correlation Correlation
Cohen's d cohenD
Phi Phi
Cramér's V V

Describing your data

Regression and models

Ridge penalty lambda
−2 Log Likelihood (deviance) -2 Log Likelihood
Akaike information criterion AIC
Bayesian information criterion BIC
Omnibus test of the model Omnibus Tests of Model Coefficients
Intercept Intercept
Coefficient B B
Standard error of B StdError
Standard error of the estimate Std. Error of the Estimate
Sample size Sample size
Variance inflation factor VIF
Covariance covariance
Regression slope regressionSlope.
Resampling method Method
Slope Slope

Crosstabs and frequencies

Percentage Percentage
Valid percentage Valid Percentage
Not applicable Not applicable
Adjusted residuals Adjusted residuals
Chi-Square Tests Chi-Square Tests
Symmetric Measures Symmetric Measures
N of Valid Cases N of Valid Cases
Observed counts Observed counts
Expected counts Expected counts

Reliability of a scale

Cronbach’s alpha Alpha
Standardized alpha Alpha standardized
Alpha if the item is deleted alpha if deleted
Corrected item-total correlation corrected item-total correlation