Renée El-Gabalawy, Jordana L Sommer, Pamela Hebbard, Kristin Reynolds, Gabrielle S Logan, Michael S D Smith, Thomas C Mutter, W Alan Mutch, Natalie Mota, Catherine Proulx, Vincent Gagnon Shaigetz, Jessica L Maples-Keller, Rakesh C Arora, David Perrin, Jada Benedictson, Eric Jacobsohn
An Immersive Virtual Reality Intervention for Preoperative Anxiety and Distress Among Adults Undergoing Oncological Surgery: Protocol for a 3-Phase Development and Feasibility Trial
JMIR research protocols
material multivariate analysis examples multivariate data preview multivariate methods multivariate normal distribution computer programs graphical methods chapter summary references matrix algebra need matrix algebra matrices vectors operations matrices matrix inversion quadratic forms eigenvalues eigenvectors vectors means covariance matrices reading chapter summary references displaying multivariate data problem displaying many variables two dimensions plotting index variables draftsmans plot representation individual data points profiles variables discussion reading chapter summary references tests significance multivariate data simultaneous tests several varables comparison mean values two samples single variable case comparison mean values two samples multivariate case multivariate versus univariate tests comparison variation two samples single variable case comparison variation two samples multivariate case comparison means several samples comparison variation several samples discussion chapter summary exercises references measuring testing multivariate distances multivariate distances distances individual observations distances populations samples distances based proportions presenceabsence data mantel randomization test computer programs discussion reading chapter summary exercise references principal components analysis definition principal components procedure principal components analysis computer programs reading chapter summary exercises references factor analysis factor analysis model procedure factor analysis principal components factor analysis using factor analysis program principal components analysis options analyses value factor analysis computer programs discussion reading chapter summary exercise references discriminant function analysis problem separating groups discrimination using mahalanobis distances canonical discriminant functions tests significance assumptions allowing prior probabilities group membership stepwise discriminant function analysis jackknife classification individuals assigning ungrouped individuals groups logistic regression computer programs discussion reading chapter summary exercises references cluster analysis uses cluster analysis types cluster analysis hierarchic methods problems cluster analysis measures distance principal components analysis cluster analysis computer programs discussion reading chapter summary exercises references canonical correlation analysis generalizing multiple regression analysis procedure canonical correlation analysis tests significance interpreting canonical variates computer programs reading chapter summary exercise references multidimensional scaling constructing map distance matrix procedure multidimensional scaling computer programs reading chapter summary exercise references ordination ordination problem principal components analysis principal coordinates analysis multidimensional scaling correspondence analysis comparison ordination methods computer programs reading chapter summary exercise references epilogue next step general reminders missing values references appendix computer packages multivariate analyses references