Direction of Effects in Multiple Linear Regression Models.

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Heteroscedasticity as a Basis of Direction Dependence in Reversible Linear Regression Models.Evidence that psychopathology symptom networks have limited replicability.Direction of dependence in measurement error models.

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Direction of Effects in Multiple Linear Regression Models.

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Direction of Effects in Multiple Linear Regression Models.

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Direction of Effects in Multiple Linear Regression Models.

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Direction of Effects in Multiple Linear Regression Models.

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Alexander von Eye

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Wolfgang Wiedermann

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P2860

Facebook use predicts declines in subjective well-being in young adults

The Bradford Hill considerations on causality: a counterfactual perspective

Causal association between cannabis and psychosis: examination of the evidence

Measures of multivariate skewness and kurtosis with applications

A note on studentizing a test for heteroscedasticity

Commentary: Are Three Waves of Data Sufficient for Assessing Mediation?

Commentary: Mediation Analysis, Causal Process, and Cross-Sectional Data.

Should burden of disease estimates include cannabis use as a risk factor for psychosis?

Using Potential Outcomes to Understand Causal Mediation Analysis: Comment on.

Number development and developmental dyscalculia.

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23-40

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scholarly article

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10.1080/00273171.2014.958429

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2015-01-01T00:00:00Z

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26609741

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Direction of Effects in Multiple Linear Regression Models.

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P2860

P2860

Direction of Effects in Multiple Linear Regression Models.

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