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The Problem of Dream Length in Analysis of Content

Michael Schredl

Perceptual and Motor Skills April 1, 1999 DOI: 10.2466/pms.1999.88.2.434 (opens in new tab)

Summary

AI-generated from the abstract

Dream content scales show almost no nonlinear relationship with dream length; controlling only for linear components introduces negligible bias.

Study at a glance

Characteristics Observational study Peer reviewed
Key finding Biases from controlling only for linear components of dream length are almost negligible.

Abstract

The present study investigated the linear as well as nonlinear relationships between scores on selected dream content scales and dream length. Analysis indicated that biases due to control solely for the linear components are almost negligible.

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