EDUCATION
A Guide to Understanding the Family of ANOVAs .
ANOVA is a core statistical method used to compare means across multiple groups, extending the logic of a t-test beyond two populations. It partitions total variance into within- and between-group components and evaluates group differences using the F-statistic. One-way ANOVA compares a single categorical variable with one continuous outcome, while two-way and factorial ANOVAs examine multiple categorical variables and their interactions. Repeated-measures ANOVAs address data collected from the same subjects over time, reducing variability and enabling assessment of temporal changes. Regardless of type, post hoc tests are required to identify which groups differ, and assumptions such as normality, independence, and homogeneity of variance must be checked.
Already have an account? Log in
Unlock the Full original article
You have access to 4 more FREE articles this month.
Click below to unlock and view this original article
Unlock Now
Critical appraisals of the latest, high-impact randomized controlled trials and systematic reviews in orthopaedics
Access to OrthoEvidence podcast content, including collaborations with the Journal of Bone and Joint Surgery, interviews with internationally recognized surgeons, and roundtable discussions on orthopaedic news and topics
Subscription to The Pulse, a twice-weekly evidence-based newsletter designed to help you make better clinical decisions
Exclusive access to original content articles, including in-house systematic reviews, and articles on health research methods and hot orthopaedic topics
Or upgrade today and gain access to all OrthoEvidencecontent for as little as $1.99 per week.
Already have an account? Log in
0 of 4 monthly FREE articles unlocked
