Multivariate Analysis – Questions With Solutions, Exams of Nursing

Multivariate Analysis – Questions With Solutions

Typology: Exams

2024/2025

Available from 06/19/2025

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Multivariate Analysis – Questions With Solutions
Multivariate Analysis Ans - ability to examine several response variables
within single study; account for potential interrelationships in the analysis of
data; complex statistical procedures
Exploratory Factor Analysis (EFA) Ans - examines linear combinations of
underlying factors that explain a latent variable or construct
Confirmatory Factor Analysis (CFA) Ans - Confirm hypotheses about
structure of underlying constructs
Principal Component Analysis (PCA) Ans - Attempts to reduce data to smaller
set of summary variables of components
Latent traits Ans - constructs that cannot be directly measured but influence
behavior
Bartlett's test of sphericity Ans - A test statistic used to examine the
hypothesis that the variables are uncorrelated in the population. Uses chi-square
distribution to test null hypothesis that intercorrelations equal zero
Communalities Ans - measure of proportion of each variable's variance that
can be explained by factors
principal axis factoring Ans - defines factors based on their intercorrelations
Eigenvalue Ans - how much of the total variance is explained by a factor
Structural Equation Modeling (SEM) Ans - statistical techniques that are
used to evaluate a proposed set of relationships among variables; illustrate
possible causal relationships; whether a pattern of intercorrelations among
variables "fit" underlying theory and directionality of those relationships;
combines factor analysis and multiple regression
exogeneous variable Ans - independent predictor variable, causes are external
to model, not included in theory
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Multivariate Analysis – Questions With Solutions

Multivariate Analysis ✔Ans - ability to examine several response variables within single study; account for potential interrelationships in the analysis of data; complex statistical procedures Exploratory Factor Analysis (EFA) ✔Ans - examines linear combinations of underlying factors that explain a latent variable or construct Confirmatory Factor Analysis (CFA) ✔Ans - Confirm hypotheses about structure of underlying constructs Principal Component Analysis (PCA) ✔Ans - Attempts to reduce data to smaller set of summary variables of components Latent traits ✔Ans - constructs that cannot be directly measured but influence behavior Bartlett's test of sphericity ✔Ans - A test statistic used to examine the hypothesis that the variables are uncorrelated in the population. Uses chi-square distribution to test null hypothesis that intercorrelations equal zero Communalities ✔Ans - measure of proportion of each variable's variance that can be explained by factors principal axis factoring ✔Ans - defines factors based on their intercorrelations Eigenvalue ✔Ans - how much of the total variance is explained by a factor Structural Equation Modeling (SEM) ✔Ans - statistical techniques that are used to evaluate a proposed set of relationships among variables; illustrate possible causal relationships; whether a pattern of intercorrelations among variables "fit" underlying theory and directionality of those relationships; combines factor analysis and multiple regression exogeneous variable ✔Ans - independent predictor variable, causes are external to model, not included in theory

endogenous variable ✔Ans - dependent outcome variable, assumed to be "caused" by ... cluster analysis ✔Ans - looks for groupings of people that demonstrate similar characteristics; generates clusters of subjects to determine how they relate to each other MANOVA (multivariate analysis of variance) ✔Ans - A form of the ANOVA used when a study includes one or more IVs and two or more (3, 4+) DVs, each of which is measured on an interval or ratio scale. Use of this test helps reduce the experimentwise error rate and increases power by analyzing the effects of the IV(s) on all DVs simultaneously. Discriminant Analysis ✔Ans - Ability of predictor variable to discriminate between categories Generates model called discriminant function survival analysis ✔Ans - a class of statistical procedures for analyzing data for studies that follow subjects over time; based on terminal event Cox proportional hazards model ✔Ans - multivariate survival analysis controlling for other factors. Allows calculation of hazard ratio