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Glossary of statistics terms

Plain-language definitions of the terms you meet in StatLab output.

Case
One row of data — usually one person or one observation.
Variable
One column of data, such as age or gender.
Value label
Text shown for a numeric code (1 = Male).
System-missing
A blank cell; no value.
User-missing
A real code you declared as missing (e.g. 9 = no answer).
Scale / ordinal / nominal
Measurement levels: numbers with equal intervals / ordered categories / unordered categories.
Mean, median, mode
Average; middle value; most frequent value.
Standard deviation (SD)
Typical distance of values from the mean.
Standard error (SE)
SD of the sample mean across repeated samples: SD/√n.
Confidence interval (CI)
A range that would contain the true value in 95% of repeated samples.
p-value (Sig.)
Probability of results at least this extreme if the null hypothesis were true.
Degrees of freedom (df)
Number of independent pieces of information behind a statistic.
Effect size
How large an effect is, independent of sample size (d, r, η², V).
Null hypothesis
The “no difference / no relationship” statement a test tries to reject.
Skewness
Asymmetry of a distribution; 0 = symmetric.
Kurtosis
Heaviness of the tails compared with a normal distribution (0 = normal).
Outlier
A value far from the rest; in a boxplot more than 1.5 box lengths outside the box.
Listwise / pairwise deletion
Dropping a case if any variable is missing / only for the pairs where it is missing.
Post-hoc test
Pairwise comparisons after a significant ANOVA, adjusted for multiple testing (Tukey HSD).
Homogeneity of variance
Groups have similar spread; checked with Levene’s test.
Multicollinearity
Predictors that are strongly correlated with each other; checked with VIF.
Cronbach's alpha
Internal-consistency reliability of a set of items.
APA style
The American Psychological Association’s reporting format for statistics.

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