100

tests the difference between observed and expected frequencies by chance

Chi-Square test

100

nonparametric analog of Pearson's r that is based on ranked data &/or non-normal distribution

Spearman Rank Correlation Coefficient

100

Proportion of existing cases relative to the total population at a given point of time

Prevalence

100

for of chi-square used with 2x2 tables involving correlated samples (subjects are their own controls)

McNemar test

100

Occurs when IVs in a regression are correlated with each other, providing redundant information

Collinearity

200

correlation statistic for parametric data

Pearson product-moment coefficient

200

Rearranging the orientation of axes and variables without altering the underlying relationships

Factor Rotation

200

occurs when independent variables in a regression are correlated with each other, providing redundant information.

Collinearity

200

a test’s ability to obtain a negative test when the condition is absent

Specificity (Sp)

200

a form of prediction where dependent and independent variables are categorical, predicting group membership

Logistic regression

300

a procedure used to explore the underlying structure of a set of variables related to a latent trait

Exploratory Factor Analysis (EFA)

300

a test’s ability to obtain a positive test when the target condition is really present

Sensitivity (Sn)

300

used to confirm a hypothesis about underlying constructs by proposing a model and verifying it through factor analysis

Confirmatory Factor Analysis (CFA)

300

minimal amount of measurable change not happening by chance

Minimal detectable change (MDC)

300

Tell us how much of the total variance is explained by a factor.

Eigen-value

400

test statistic for determining internal consistency

Cronbach’s alpha

400

used to assess test-retest or rater reliability

Intraclass correlation coefficient (ICC)

400

common test used when both X and Y are dichotomous

Phi coefficient

400

involves the development of an equation to calculate predicted values of Y from X

Regression

400

allows for prediction of Y using a set of several independent X variables

Multiple Regression

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