Difference between revisions of "An initial path towards statistical analysis"

From Sustainability Methods
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[[Data_distribution#The_normal_distribution|Dependent variable normally distributed]]<br>
 
[[Data_distribution#The_normal_distribution|Dependent variable normally distributed]]<br>
====[[Type II Anova|INSERT TYPE II]]<br>====
+
====[[Type II Anova|Type II Anova]]<br>====
 
=====[[Random factors|Linear mixed effect model]]<br>=====
 
=====[[Random factors|Linear mixed effect model]]<br>=====
 
        
 
        

Revision as of 13:42, 12 January 2021


Start here with your data


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?


More than 2 categorical variables


Is your dependent variable normally distributed?
Is your dependent variable not normally distributed?

My data consists only of categorical variables

Does your independent variable contain only 1 or 2 groups?
Does your independent variable contain more than 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?

The dependent variable is normally distributed

Dependent variable normally distributed

Type II Anova

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

Does your independent variable contain more only 1 or 2 groups?

t-test

My data consists only of categorical variables

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

Generalised linear model

Dependent variable is count data

Dependent variable is 0/1 or proportions



Multivariate statistics



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

Type III Anova

Dependent variable is count data

Dependent variable is 0/1 or proportions

Random factors