The Psych Diaries

Copy-paste APA 7 results templates for the most common statistical tests.
(Just swap in your numbers.)

Test type	When you use it	What you report (APA 7)	Copy-paste results sentence template
Independent samples t-test	Compare two different groups	t(df) = value, p =, Cohen’s d	An independent-samples t-test showed that [Group 1] had significantly [higher/lower] [DV] than [Group 2], t(df) = xx.xx, p = .xxx, d = x.xx.
Paired samples t-test	Compare same people at two times (pre/post)	t(df) = value, p =, Cohen’s d	A paired-samples t-test showed that [DV] was significantly [higher/lower] at [Time 2] compared with [Time 1], t(df) = xx.xx, p = .xxx, d = x.xx.
One-way ANOVA	Compare 3+ groups (1 IV)	F(df1, df2) = value, p =, ηp²	A one-way ANOVA showed a significant effect of [IV] on [DV], F(df1, df2) = xx.xx, p = .xxx, ηp² = .xx.
Pearson correlation (r)	Relationship between two continuous variables	r(df) = value, p =	There was a significant [positive/negative] correlation between [X] and [Y], r(df) = .xx, p = .xxx.
Chi-square test of independence (χ²)	Relationship between two categorical variables	χ²(df, N = ) = value, p =, φ	A chi-square test of independence showed a significant association between [Variable 1] and [Variable 2], χ²(df, N = xx) = xx.xx, p = .xxx, φ = .xx.
Simple linear regression	Predict one outcome from one predictor	b, SE, t(df), p, R²	A simple linear regression showed that [predictor] significantly predicted [outcome], b = x.xx, SE = x.xx, t(df) = xx.xx, p = .xxx, R² = .xx.

NOTE: You can also report group means and standard deviations (e.g., M =, SD =) for t-tests and ANOVA when relevant.

Symbols Key

Symbol	Meaning	Where you’ll see it
DV	Dependent variable (outcome)	Any test (what you measure)
IV	Independent variable (group/condition/predictor)	Any test (what causes/predicts DV)
N	Total sample size	Often in chi-square + general reporting
M	Mean (average)	Descriptives, t-tests, ANOVA
SD	Standard deviation (spread of scores)	Descriptives, t-tests, ANOVA
p	p-value (statistical significance)	Every hypothesis test
df	Degrees of freedom	t-tests, ANOVA, chi-square, correlation
t	t statistic	Independent + paired t-tests
F	F statistic	ANOVA, regression (model tests)
r	Correlation coefficient	Pearson correlation
χ²	Chi-square statistic	Chi-square test of independence
d	Cohen’s d (effect size)	t-tests
ηp²	Partial eta squared (effect size)	ANOVA
φ	Phi coefficient (effect size)	Chi-square (especially 2×2 tables)
b	Unstandardised regression coefficient (raw slope)	Regression
β	Standardised regression coefficient	Multiple regression
SE	Standard error (precision of estimate)	Regression
R²	R-squared (variance explained)	Regression