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Concepts to be included
Causality Probabilistic (Non-)linear relationship Deterministic Spurious relationship Dependent variable (causal) hypothesis Independent variable Sign or direction (of a causal relationship) Bivariate Footer text: to modify choose ‘Insert’ (or ‘View’ for office 2003 or earlier) then ‘Header and Footer’ 4/4/2019
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Bivariate associations
Henk van der Kolk
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Aim Causality: Time order, Association, Non-spurious relationship.
Bivariate associations between variables with various levels of measurement.
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A relationship between two variables
Exogenous concept Cause X-variable Independent variable Treatment Endogenous concept Effect / Consequence Y-variable Dependent variable Observation
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Causality in a graph Positive Dependent variable “SIGN” Negative
This is called the ‘sign’ of a relationship. Independent variable
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Non linear: parabolic Non linear: quadratic Linear negative Dependent variable Independent variable
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Probabilistic Deterministic: If … then ‘always’ Probabilistic: If … then ‘relatively more/less often’
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Probabilistic causality in a graph
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Why probabilistic only?
Measurement error Parsimoneous models: omitted variables
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Measurement levels of variables
Dichotomous Gender (male, female) of a person Nominal Country in which the headquarter of a company is located Ordinal Innovative power of a company (low, medium, high) Interval IQ scores of employees Ratio Profits or losses of a company
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Relating variables Using ‘graphs’ to show causal relationships works fine when using interval - or ratio level variables. How to show the relationship between dichtomous and nominal variables?
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Probabilistic causality in a table
Two dichotomous variables Independent variable A B Total Dependent variable I x X II
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Probabilistic causality in a table
Two ordinal variables, or nominal variables (with columns and rows ordered by expectation) Independent variable A B C Total Dependent variable I x X II III
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This micro lecture Causality: Time order, Association,
Non-spurious relationship. Bivariate associations between independent and dependent variables with various levels of measurement
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Footer text: to modify choose ‘Insert’ (or ‘View’ for office 2003 or earlier) then ‘Header and Footer’ 4/4/2019
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