Chapter 14: Replication, transparency, and real world importance Flashcards

1
Q

direct replication

A

researchers repeat the original study as closely as possible to see whether the original effect shows up in the newly collected data

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2
Q

conceptual replication

A

researchers examine the same research question but use different procedures for operationalizing the variables

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3
Q

replication-plus-extension study

A

researchers replicate their original study but add variables or conditions that test additional questions

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4
Q

meta-analyses

A

a way of mathematically averaging the effect sizes of all the studies that have tested the same variables to see what conclusions the whole body of evidence supports

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5
Q

file drawer problem

A

a problem relating to literature reviews and meta-analyses based only on published literature, which might overestimate the support for a theory because studies finding null effects are less likely to be published than studies finding significant results, and therefore less likely to be included in such reviews

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6
Q

underreporting null findings

A

when researchers report only the strong effects of their results and not the weak ones

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7
Q

harking

A

hypothesizing after the results are known

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8
Q

p-hacking

A

a family of questionable data analysis techniques such as adding participants after the results are initially analyzed, looking for outliers, or trying new analysis in order to obtain a p-value of just under 0.05

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9
Q

open science

A

an open practice of sharing one’s data, hypotheses, and materials freely so that others can collaborate, use, and verify the results

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10
Q

open materials

A

providing their full set of measures and manipulations on the internet so that others can see the full design or conduct replication studies

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11
Q

preregistration

A

before collecting any data, the researcher has publicly stated what the study’s outcome is expected to be

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12
Q

ecological validity

A

the extent to which the tasks and manipulations of a study are similar to real-world contexts

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13
Q

theory testing mode

A

researchers are designing correlational or experimental research to investigate support for a theory

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14
Q

generalization mode

A

the intent of researchers to generalize the findings from the samples and procedures in their study to other populations and contexts

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15
Q

field setting

A

a real-world setting for a research study

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16
Q

experimental realism

A

the extent to which a lab experiment is designed so that participants experience authentic emotions, motivations, and behavior

17
Q

publication bias

A

the phenomenon that statistically significant findings have a higher probability of being published than nonsignificant findings