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ABBREVIATIONS
ANOVA analysis of variance
APA American Psychological Association
CI confidence interval
COS Center for Open Science (cos.io)
df degrees of freedom
DFY don’t fool yourself
DR diamond ratio
DV dependent variable
ES effect size
esci Estimation Statistics with Confidence Intervals
H0 null hypothesis
H1 alternative hypothesis
HE hypothesis evaluation
IPD individual participant data, from studies in a meta-analysis
IQR interquartile range
IV independent variable
LL lower limit of a CI
MoE margin of error (length of one arm of a CI)
NHST null hypothesis significance testing
NOIR levels of measurement: nominal, ordinal, interval, ratio
OS Open Science
OSF Open Science Framework (osf.io)
Q1 first quartile
Q2 second quartile, median
Q3 third quartile
RCT randomized control trial
SD standard deviation
SE standard error
UI user interface
UL upper limit of a CI
SYMBOLS
α Type I error rate (alpha)
β Type II error rate (beta)
β slope of a standardized regression line, standardized
regression weight
δ population ES, Cohen’s δ (delta)
η2 proportion of variance, in ANOVA (eta squared)
μ population mean (mu)
μ0 μ specified in the null hypothesis
μ1 μ specified in the alternative hypothesis
∏ population proportion (upper case pi)
,ρ population Pearson’s correlation (rho)
Σ sum of (upper case sigma)
σ population SD (sigma)
σ2 population variance
ϕ phi coefficient
χ2 chi-square
ω2 proportion of variance, in ANOVA (omega squared)
A first IV in a factorial design
a intercept of a regression line
B second IV in a factorial design
b slope of a regression line, regression weight
C level of confidence
d sample ES, Cohen’s d
dunbiased unbiased estimate of δ
F(df1, df2) test statistic used in ANOVA
i integer, used as an index
k number of levels of an IV
M sample mean
Mdn median
N size of a single group, or grand total if more than one group
n group size when more than one group
P proportion
p p value, in NHST
r Pearson’s correlation
s sample SD
s2 sample variance
sav standardizer for Cohen’s d, paired design
sdiff SD of the differences, paired design
sp pooled SD
t variable, often with t distribution
t.95(df ) .95 critical value of t for stated df
V variance
X dependent variable, predictor variable in regression
X integer, numerator of a proportion
Y second DV in correlation, predicted or criterion variable in
regression
Ŷ regression prediction of Y
z variable, often with normal distribution
z.95 z for central .95 area under normal distribution
? .05 < p < .10
* .01 < p < .05
** .001 < p < .01
*** p < .001
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