Research Methods Section 3

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Experimental Design

Last updated 2:38 AM on 4/10/26
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60 Terms

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Independent Variable

The manipulated variable in a study

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Dependent Variable

The measured variable in a study, outcome.

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Control Variable

Any variable that an experimentor holds constant.

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Confounds

2and variables that vary systematically within the indepedent variable and obscure the result.

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Requirments for causality

Temporal precedence, Covariance, Internal validity

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Systematic Variability

the predictable, non-random difference in data caused by specific, identifiable factors or experimental manipulations

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Unsystematic Variability

Random differences that effect both groups

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Selection Effect

When participants in one level of the IV are systematically different thant those in the DV

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Random Assignment

All participants have equal chance of selection

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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

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Between Group Design

Each participant receives 1 level of the manipulation (IV)

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Within Group Designs

Each participant receives all levels of the manipulation (IV)

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Between Group Posttest Design

Tested post condition is inflicted

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Between Group Pretest Posttest Design

Tested both before and after condition is inflicted.

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Within Group Repeated Measures Design

Partcipant receives all measures

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Within Group Concurrent Measure Design

Exposed to all levels of the manipulation (IV) at the same time, testing for preference (DV). Infants

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Order Effects

Being exposed to one condition affects how participants respond.

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Practice Effects

Participants get better with practice.

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Fatigue Effects

Particiapants get worse due to fatigue.

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Complete Counter Balancing

Every possible sequence of conditions or treatments is presented to participants at least once.

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Partial Counter Balancing

Altering the order of conditions in order to mitigate order effects. ( A-B-C) and then (A-C-B)

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Demand Charactersitics

Exposure to all of the IV may change participant reaction.

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Construct Validity

How well the measures were operationalized.

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Manipulation checks

An extra dependent variable added to ensure that the manipulation works.

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Pilot Study

A simple study used to to confirm the effectivness of the manipulations prior to use.

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External Validity

How well the results are generalizable

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One Group Design

One group is tested, inflicted, and tested. Bad study.

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Maturation Threat

A change in behavior that occurs spontaneously or naturally over time.

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History Threat

External or “historical” events that impact most participants at the same time as the treatment.

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Regression Threat

People naturally return to baseline, an extreme result in test one is less likely to extreme come test 2.

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Attrition Threat

Participants drop out from pretest to posttest, only problematic when systematic

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Testing; Order effect

change in participants as a result of expereinceing the D.V. (test) occurring more than ounce.

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Instrumentation

When measuring intstruments changes over time.

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Placebo Effect

Particpants expectancy of result impacts the result.

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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

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Null Result

No difference between groups.

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Weak Manipulation

Levels of the I.V. ae too small to induce a response.

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Insensitive Measures

Measure cannot detect small differences.

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Ceiling Effect

Scores are squeezed together at the high end.

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Floor Effect

Scores are squeezed together at the low end.

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Manipulation Check

D.V. added to ensure that the manipulation works.

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Quasi Experiments

An experimental design in which the I.V cannot be manipulated (pre-existing group)

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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

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Participant Variables

the individual, pre-existing characteristics of research participants

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Small - N Design

intensively study a few individuals (often 10 or fewer) through repeated measurements over time, rather than comparing large groups

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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.

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Reversal Study

Baseline - Treatment - Removal - Treatmet

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Replication

P - Value <.05: 5% chance findings are a fluke, replication allows you to be more sure.

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Direct Replication

Reproducing as close to the original study as possible.

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Conceptual Replication

The original research question replicated, but different procedures are used. The variables are operationalized differently.

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Replication - Plus - Extention

Original study replicated with added variables.

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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.

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Review Article

Summarized literature in a narrative ( qualitative ) way.

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File Drawer Problem

Null results and opposite results to hypothesis are rarely published.

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Underreporting

Researchers mislead results by underreporting conditions or measures that do not support the hypothesis.

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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. 

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Small Sample Sizes

A few chance values can influence data set and results.

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HARKing

Hypothesising after results are known.

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Ecological Validity

Type of external validity focused on wether a lab study generalizes to real - world situations.

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WEIRD Participants

Western, Educated, Industrialized, Rich, Democratic