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IlluminatingLotus

Uploaded by IlluminatingLotus

University of California, San Diego

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research methods experimental design statistical errors psychology

Summary

This document provides a study guide for research methods, focusing on key concepts like Type I and Type II errors, various experimental designs (factorial, true, quasi, correlational), and different sampling methods. The guide emphasizes recognizing and distinguishing between different study methodologies.

Full Transcript

- Be able to recognize when a Type I error (alpha) vs. Type II error (beta) occurs in an experiment. Remember that Type I errors are false positives (it looks like there's an effect, but there wasn't actually) and Type II errors are false negatives (you didn't detect an effect even though it was re...

- Be able to recognize when a Type I error (alpha) vs. Type II error (beta) occurs in an experiment. Remember that Type I errors are false positives (it looks like there's an effect, but there wasn't actually) and Type II errors are false negatives (you didn't detect an effect even though it was really there). - Be able to describe each of these AND distinguish between them. - Random selection (vs.convenience sampling) - Random assignment - Know what a factorial design is. Understand and be able to explain how factorial designs can be within-subjects, between-groups or both (mixed or “split-plot” design). Know how to look at a graph or data table and identify whether or not there are main effects and interactions. Be able to compute marginal means and draw the data pattern. Be able to describe the number of factors, number of factor levels, and number of cells in a factorial design. - Be able to distinguish the following: true experiments; quasi-experiments; correlational designs; observational studies.

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