Correcting Two-Sample z and t Tests for Correlation: An alternative to One-Sample Tests on Difference Scores
In order to circumvent the influence of correlation in paired-samples and repeated measures experimental designs, researchers typically perform a one-sample Student t test on difference scores. That procedure entails some loss of power, because it employs N – 1 degrees of freedom instead of the 2N – 2 degrees of freedom of the independent-samples t test. In the case of non-normal distributions, researchers typically substitute the Wilcoxon signed-ranks test for [...]
Counterfactual thinking in everyday life situations: Temporal order effects and social norms
Counterfactual thinking is the comparison of a factual situation to a [...]
The Robustness of Validity and Efficiency of the Related Samples t-Test in the Presence of Outliers
The performance of the related samples t-test (a one-sample t-test applied [...]
Effect of stimulus intensity on latent inhibition: A case for generalization decrement
En dos experimentos se empleó la técnica de aversión condicionada [...]
Temporal interactions between target and distractor processing: Positive and negative priming effects
The flankers paradigm and the prime/probe paradigm for the study [...]
