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Model-implied causal relations are plausible when both the independent variable and the mediator are experimentally manipulated, but this scenario is unusual. The field of causal mediation is fairly new and techniques emerge frequently.
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  • 2007;58:593-614.
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    This chapter focuses on statistical and design methods to investigate mediation relations rather than the substantive importance of mediation that is described elsewhere (MacKinnon, 2008 ).

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    Coming up with methods for single subject causal mediation analysis was facilitated by bringing together clinical psychologists who collect repeated measures data in N = 1 trials (e.

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    Model-implied causal relations are plausible when both the independent variable and the mediator are experimentally manipulated, but this scenario is unusual.

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  • Two broad analytical approaches are used to conduct a mediation analysis: statistical and causal.
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    We first develop statistical.

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    This chapter introduces the conceptual and statistical basics of mediation analysis in the context of experimental research.

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    Surprisingly, few such studies have been conducted regarding the temporal relationship between symptoms and functioning in patients receiving CBT for anxiety and/or.