Download Analysis Strategy Univariate Multivariate Bivariate

Overview
Analysis Strategy
Univariate
(One variable)
Bivariate
(Two variables)
Multivariate
(> 2 variables)
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Overview
Univariate
(One variable)
Continuous
Variable
Categorical
Variable
Central
Tendancy
Variation
Distribution
Mean
Variance
Normal
Histogram
Counts
Bar Graph
Median
Standard
Deviation
Uniform
Box Plot
Frequencies
Pie Graph
Exponential
Stem Plot
Percentages
Pareto
Graph
Dot Plot
Odds
Mode
Plots
Frequencies
Range
Plots
Percentiles
Line Chart
Interquartile
Range
Time Series
Plot
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Overview
Bivariate
(Two variables X & Y)
Categorical Y
Categorical X
Y-2 Categories
X-2 Categories
Y or X are
> 2 categories
Pearson’s
Chi-square
Pearson’s
Chi-square
Fisher’s
Exact
MantelHaenszel
McNemar's
Test
Continuous Y
Categorical X
Y-Normal
X-2 Categories
Continuous Y
Continuous X
Y-Normal
X>2 Categories
Y-Non-normal
X-2 Categories
2 Sample
test
Wilcoxon
Rank-sum
PairedSample test
Wilcoxon
Signed-rank
Y = Dependent, Outcome, or Response Variable;
Y and X
Normal
Y-Non-normal
X>2 Categories
One-way
ANOVA
KruskalWallis Test
Scatter plot
Simple
Linear
Regression
Y or X
Non-normal
Spearman’s
Correlation
Pearson’s
Correlation
X = Independent variable, Explanatory variable
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Overview
Multivariate
(More than two variables)
Continuous Y
Dichotomous Y
Nominal Y
> 2 Categories
Ordinal Y
Multiple
Regression
Logistic
Regression
Multinomial
Logistic
Ordinal
Logistic
Analysis of
Variance
Discriminant
Analysis
Y is “Time”
Survival Analysis
Multivariate Y
Life Table
Cox Proportional
Hazards Model
MANOVA
Factor
Analysis
Analysis of
Covariance
Y = Dependent, Outcome, or Response Variable;
Repeated
Measures
X = Independent variable, Explanatory variable
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