Chapter 14: Replication, transparency, and real world importance Flashcards
direct replication
researchers repeat the original study as closely as possible to see whether the original effect shows up in the newly collected data
conceptual replication
researchers examine the same research question but use different procedures for operationalizing the variables
replication-plus-extension study
researchers replicate their original study but add variables or conditions that test additional questions
meta-analyses
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
file drawer problem
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
underreporting null findings
when researchers report only the strong effects of their results and not the weak ones
harking
hypothesizing after the results are known
p-hacking
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
open science
an open practice of sharing one’s data, hypotheses, and materials freely so that others can collaborate, use, and verify the results
open materials
providing their full set of measures and manipulations on the internet so that others can see the full design or conduct replication studies
preregistration
before collecting any data, the researcher has publicly stated what the study’s outcome is expected to be
ecological validity
the extent to which the tasks and manipulations of a study are similar to real-world contexts
theory testing mode
researchers are designing correlational or experimental research to investigate support for a theory
generalization mode
the intent of researchers to generalize the findings from the samples and procedures in their study to other populations and contexts
field setting
a real-world setting for a research study