Difference between revisions of "An initial path towards statistical analysis"
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<div id="Is your dependent variable normally distributed?">The dependent variable is normally distributed</div> | <div id="Is your dependent variable normally distributed?">The dependent variable is normally distributed</div> | ||
| − | + | [[Data_distribution#The_normal_distribution|Dependent variable normally distributed]]<br> | |
| − | + | ====[[Type II Anova|INSERT TYPE II]]<br>==== | |
| − | + | =====[[Random factors|Linear mixed effect model]]<br>===== | |
| − | + | [[Data_distribution#Non-normal_distributions|Dependent variable not normally distributed]] | |
| − | ===[[Type III Anova|Type III Anova]]=== | + | ====[[Type III Anova|Type III Anova]]==== |
| − | ====[[Poisson GLM|Dependent variable is count data]]==== | + | =====[[Poisson GLM|Dependent variable is count data]]===== |
| − | ====[[Binomial GLM|Dependent variable is 0/1 or proportions]]==== | + | =====[[Binomial GLM|Dependent variable is 0/1 or proportions]]===== |
====[[Generalised linear mixed effect models|Random factors]]==== | ====[[Generalised linear mixed effect models|Random factors]]==== | ||
Revision as of 13:42, 12 January 2021
Start here with your data
Contents
Univariate statistics
Does you data contain at least one categorical variable?
Yes, I have at least one categorical variable! (?)
No, I have only continuous variables! (?)
Multivariate statistics
Do you have several continuous variables without clear dependencies?
Categorical and continuous data
Does your data consist of categorical and continuous data? Does your data consist only of categorical data?
Is your dependent variable normally distributed?
Is your dependent variable not normally distributed?
Does your independent variable contain only 1 or 2 groups?
Does your independent variable contain more than 2 groups?
Analysis of Variance
Is your dependent variable normally distributed?
Is your dependent variable not normally distributed?
Dependent variable normally distributed
INSERT TYPE II
Linear mixed effect model
Dependent variable not normally distributed
Type III Anova
Dependent variable is count data
Dependent variable is 0/1 or proportions
Random factors
t-test
Chi-Square test
Continuous variables
Non dependent relations? Correlations
Clear dependent relations
Regression models
Dependent variable normally distributed
Linear Regression
Dependent variable not normally distributed
Dependent variable is count data
Dependent variable is 0/1 or proportions
Resterampe
[[At least one continuous and one categorical variable|
More than 2 groups
Analysis of Variance
Dependent variable normally distributed
INSERT TYPE II
INSERT RANDOM FACTOR
INSERT LMM
Dependent variable not normally distributed
Dependent variable is count data
