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Quasi-experiments
when experimenters do not have full experimental control and cannot randomly assign
Independent group quasi-experiments
nonequivalent control group posttest only, nonequivalent control group pretest/posttest
Within group quasi-experiments
interrupted time-series, nonequivalent groups interrupted time-series
Nonequivalent control group posttest-only design
no random assignment of treatment and control groups, only tested once after exposure to each level of the IV
Organ donation example of nonequivalent control group posttest-only design
effect of being given the option to opt-in vs opt-out of organ donation on amount of people who are organ donors, nonequivalent groups because researches didn’t randomly assign the countries to either condition and did not randomly assign people to live in each country. Posttest only because people only tested after exposure to the opt-in/out option.
Nonequivalent control group pretest/posttest design
no random assignment to treatment and control groups, tested before and after exposure to each level of the IV
Interrupted time-series design
participants measured repeatedly on a DV before during and after an event occurs (ex: suicide rates & call volumes before and during release of Logic’s 1-800 song, the release of the music video, and awards shows)
Nonequivalent control group interrupted time-series design
participants not randomly assigned to groups but measured before, during, and after an event (ex states that have triplicate laws and states that do not before, during, and after the release of Oxytocin)
Which of the four validities do we lose and which do we gain in quasi-experiments
lose internal, gain external
Selection effect threat to internal validity in quasi-experiments
only relevant to independent groups designs, kinds of participants at one level of the IV are systematically different from those at the other level (ex group that chose not to have surgery likely different than group that went through with surgery)
What can be done to mitigate selection effects in quasi-experiments
use matched group or wait-list designs
Design Confound threat to internal validity in quasi-experiments
outside variable systematically varies with the levels of the IV
Maturation Threat to internal validity in quasi-experiments
occurs in designs with a pre and posttest, change resulted due to time rather than IV
How to mitigate maturation threats in quasi-experiments
include a comparison group to see if that group also has similar changes
History Threat to internal validity in quasi-experiments
external, historical event happens to everyone at the same time as the treatment variable (ex: Logic’s 1-800 song released at the same time as PSAs about the suicide hotline)
How to mitigate history threats in internal validity
include a comparison group that also went through the same historical event to see if that group also has similar changes
Regression to the Mean threat to internal validity in quasi-experiments
only in pre/posttest designs, group is selected because of their initially very high or very low scores and is closer to the mean next time they are tested
Attrition threat to internal validity in quasi-experiments
only in pre/posttest designs, only problematic when dropout is systematic (people who were disappointed in their surgery outcomes dropped out)
Why should you do quasi-experiments?
help you discover if the results apply to real world scenarios and increases external validity
Quasi-experiments vs correlational studies
quasi-experiments involve researchers actively selecting participants, but not manipulating the IV
Why Conduct a Small-N Experiment
a large N isn’t always necessary or possible especially when conducting research on human behavior or physiology
What can be done to make a causal statement from small-N experiments
using careful experimental control and studying special cases in which it isn’t necessary to generalize
Issues of small-N designs
internal validity when there is no experimental control over IV and external validity
Three types of small-N designs
stable baseline design, multiple-baseline design, reversal design
Stable-Baseline Design
observe behavior for an extended baseline period before beginning treatment
How do stable-baseling designs establish internal validity
if behavior during baseline is stable, we can be more sure of treatment effectiveness, ruling out alternative explanations
Multiple-Baseline Design
stagger the introduction of an intervention across a variety of contexts, times, situations, or participants (ex: autistic children fearing dogs- each participant had different baseline, treatment, and generalization time periods)
Reversal designs
observe a problem behavior with and without treatment, but take the treatment away for a while to see if problem behavior returns
When is it appropriate to use a reversal design
when treatment may not cause lasting change
Types of replication
direct replication, conceptual replication, replication plus extension
Direct Replication
repeat an original study as closely as possible (including flaws)
Which of the four validities does direct replication help establish?
internal validity
Conceptual Replication
using the same research question but different procedures/operationalization
Replication Plus Extension
repeat an original study but add variables/conditions to test additional questions
Replication crisis
journals prefer to publish new research rather than replications and replications often fail
What are the possible reasons a replication fails?
problem with the replication attempt, problem with the original study, or problem with publication practices
Meta-Analysis
mathematical average of the results of all studies that have tested the same variables
How is the effects of a meta-analysis calculated
by averaging all effect sizes to find an overall effect size
File Drawer Problem
a meta-analysis could be overestimating the true size of an effect because negligable or even opposite effects are less likely to be published
How to counter the file drawer problem
request both published and unpublished articles
Questionable Research Practices
underreporting null findings, HARKing, and p-hacking
What does underreporting null findings lead people to believe
that the evidence for a theory is stronger than it truly is
HARKing
Hypothesizing After the Results are Known
p-hacking
computing statistical analysis of data in a way that manipulates the p-value (remove outliers, compute scores different ways, run different types of statistics)
Family wise error
looking around in statistical analysis will result in finding a statistically significant result
Transparent Research Practces
open data & materials, preregistration
Open Data
provide full dataset so other researchers can reproduce the statistical results or conduct new analyses
Open Materials
full set of measures and manipulations are provided so other researchers can replicate more easily
Preregistration
counteracts HARKing. publishing study’s method, hypothesis, or statistical analysis in advance of data collection
Aspects to external validity
generalizing to a wider population and generalizing to other situations
If a sample comes from a population of interest does that automatically make it generalize to that population?
No
Whom do psychologists study?
mostly convenience samples and mostly from North America
Cultural psychology
examines how cultural contexts shape the way a person thinks, feels and behaves
How does the lack of diversity in research conductors impact generalizability
it may impact the questions being asked and how the studies are designed
How important is external validity in frequency claims
they must have external validity because the accuracy of the estimate depends on the external validity.
How important is external validity in association and causal claims
may not be necessary because it is sometimes more important to prioritize internal validity and testing theories
Theory-testing mode:
research to investigate support for a theory on any sample of populations, later replications can be conducted to generalize the findings
Lab study
takes place in a standard location where design and decor is held constant across participants
Field research
takes place in the real world
Replicating a lab study in the field or vice versa would be an example of which type of replication?
conceptual replication
Experimental realism
creating a lab setting that feels comfortable and natural so that participants respond more like they would in their normal environment
Are lab or field studies more important?
it depends on the purpose of the study