Difference between revisions of "An initial path towards statistical analysis"
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Do you have several continuous variables without clear dependencies?<br> | Do you have several continuous variables without clear dependencies?<br> | ||
| + | Yes! | ||
| + | No! | ||
| + | =[[#Univariate statistics| Univariate statistics]]<br> = | ||
No! | No! | ||
| − | |||
Does you data contain at least one categorical variable?<br> | Does you data contain at least one categorical variable?<br> | ||
[[#Categorical and continuous data|Yes, I have at least one categorical variable! (?)]]<br> | [[#Categorical and continuous data|Yes, I have at least one categorical variable! (?)]]<br> | ||
[[#Continuous variables|No, I have only continuous variables! (?)]] | [[#Continuous variables|No, I have only continuous variables! (?)]] | ||
| + | =[[#Multivariate statistics| Multivariate statistics]]<br>= | ||
Yes! | Yes! | ||
| − | + | ||
| − | |||
Revision as of 17:10, 17 January 2021
Start here with your data! This is your first question.
Do you have several continuous variables without clear dependencies?
Yes!
No!
Contents
Univariate statistics
No!
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
Yes!
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
Type II Anova
Dependent variable is count data
Dependent variable is 0/1 or proportions
Random factors
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
