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Experimental Design
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Independent Variable
The manipulated variable in a study
Dependent Variable
The measured variable in a study, outcome.
Control Variable
Any variable that an experimentor holds constant.
Confounds
2and variables that vary systematically within the indepedent variable and obscure the result.
Requirments for causality
Temporal precedence, Covariance, Internal validity
Systematic Variability
the predictable, non-random difference in data caused by specific, identifiable factors or experimental manipulations
Unsystematic Variability
Random differences that effect both groups
Selection Effect
When participants in one level of the IV are systematically different thant those in the DV
Random Assignment
All participants have equal chance of selection
Matched Groups
matching participants based on scores, top 2 together, bottom 2 together ect. and then randomly assigning them to each group. Person A of pair 1 to group 1 and Person of pair 1 B to group 2
Between Group Design
Each participant receives 1 level of the manipulation (IV)
Within Group Designs
Each participant receives all levels of the manipulation (IV)
Between Group Posttest Design
Tested post condition is inflicted
Between Group Pretest Posttest Design
Tested both before and after condition is inflicted.
Within Group Repeated Measures Design
Partcipant receives all measures
Within Group Concurrent Measure Design
Exposed to all levels of the manipulation (IV) at the same time, testing for preference (DV). Infants
Order Effects
Being exposed to one condition affects how participants respond.
Practice Effects
Participants get better with practice.
Fatigue Effects
Particiapants get worse due to fatigue.
Complete Counter Balancing
Every possible sequence of conditions or treatments is presented to participants at least once.
Partial Counter Balancing
Altering the order of conditions in order to mitigate order effects. ( A-B-C) and then (A-C-B)
Demand Charactersitics
Exposure to all of the IV may change participant reaction.
Construct Validity
How well the measures were operationalized.
Manipulation checks
An extra dependent variable added to ensure that the manipulation works.
Pilot Study
A simple study used to to confirm the effectivness of the manipulations prior to use.
External Validity
How well the results are generalizable
One Group Design
One group is tested, inflicted, and tested. Bad study.
Maturation Threat
A change in behavior that occurs spontaneously or naturally over time.
History Threat
External or “historical” events that impact most participants at the same time as the treatment.
Regression Threat
People naturally return to baseline, an extreme result in test one is less likely to extreme come test 2.
Attrition Threat
Participants drop out from pretest to posttest, only problematic when systematic
Testing; Order effect
change in participants as a result of expereinceing the D.V. (test) occurring more than ounce.
Instrumentation
When measuring intstruments changes over time.
Placebo Effect
Particpants expectancy of result impacts the result.
Double Blind Study
a rigorous clinical trial design where neither participants nor researchers know who is receiving the active treatment or a placebo, preventing bias in results
Null Result
No difference between groups.
Weak Manipulation
Levels of the I.V. ae too small to induce a response.
Insensitive Measures
Measure cannot detect small differences.
Ceiling Effect
Scores are squeezed together at the high end.
Floor Effect
Scores are squeezed together at the low end.
Manipulation Check
D.V. added to ensure that the manipulation works.
Quasi Experiments
An experimental design in which the I.V cannot be manipulated (pre-existing group)
Quasi-independent Variable
a pre-existing participant characteristic or group difference (e.g., age, gender, culture) that is used to categorize subjects, resembling an independent variable but without direct manipulation or random assignment
Participant Variables
the individual, pre-existing characteristics of research participants
Small - N Design
intensively study a few individuals (often 10 or fewer) through repeated measurements over time, rather than comparing large groups
Behavior - Change Study
intensively study a few individuals (often 10 or fewer) through repeated measurements over time, rather than comparing large groups. Acheivec by establishing a baseline and then comparing baseline to intervention.
Reversal Study
Baseline - Treatment - Removal - Treatmet
Replication
P - Value <.05: 5% chance findings are a fluke, replication allows you to be more sure.
Direct Replication
Reproducing as close to the original study as possible.
Conceptual Replication
The original research question replicated, but different procedures are used. The variables are operationalized differently.
Replication - Plus - Extention
Original study replicated with added variables.
Meta - Analysis
A quantitative technique that creates a mathematical summary of scientific literature on a topic. Mathematical overview. Makes conclusions based off of entire body of evidence.
Review Article
Summarized literature in a narrative ( qualitative ) way.
File Drawer Problem
Null results and opposite results to hypothesis are rarely published.
Underreporting
Researchers mislead results by underreporting conditions or measures that do not support the hypothesis.
P - Hacking
is the misuse of data analysis to find patterns that appear statistically significant when no real effect exists. Researchers may tweak data, exclude outliers, or run multiple analyses until a desired result appears. This practice causes high false-positive rates, compromising scientific integrity.
Small Sample Sizes
A few chance values can influence data set and results.
HARKing
Hypothesising after results are known.
Ecological Validity
Type of external validity focused on wether a lab study generalizes to real - world situations.
WEIRD Participants
Western, Educated, Industrialized, Rich, Democratic