Experimental Psychology Lecture Notes Flashcards

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Vocabulary flashcards generated from Experimental Psychology lecture notes covering Modules 1 through 13.

Last updated 1:51 AM on 9/25/26
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65 Terms

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Science Content

The findings, results, and common knowledge accumulated through research.

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Science Process

The scientific methods and procedures used to reach research conclusions.

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Common Sense Psychology

The non-scientific practice of using common sense to explain psychological phenomena.

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Confirmation Bias

An adherence to an idea or preference wherein people tend to overlook instances that disprove their beliefs.

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Gambler's Fallacy

The mistaken belief that the odds of winning increase with each attempt.

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Overconfidence Bias

A tendency where having a large amount of data (right or wrong) creates the false impression that one's belief, guess, or explanation is correct.

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Scientific Mentality

The foundational scientific assumption that behavior must follow a natural order and can be predicted.

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Alfred North Whitehead

Philosopher who stated that faith in an organized universe is essential to science, as order is required to justify searching for patterns.

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Aristotle

Philosopher who advocated for systematic observation and classification of naturally occurring events.

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Empirical Data

Data that are observable or directly experienced.

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Galileo

Scientist who disproved earlier assumptions by testing under proper conditions (vacuum), demonstrating that light objects fall at the same rate as heavy objects.

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Parsimony

The scientific principle stating that when faced with two equally defensible explanations, the simplest is preferred until conflicting data rules it out.

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Basic Research

Theoretical research aimed at expanding understanding of a specific occurrence, subject, or natural law, typically conducted in sterile environments.

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Applied Research

Investigation that seeks practical answers to current problems and industrial challenges in real-world or open-world settings.

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Antecedent Conditions

Circumstances or events that come before the event to be explained, representing the cause in an experiment.

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Informed Consent

A subject's agreement to participate in a study after being fully informed about its nature, procedures, risks, and benefits.

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Deception

The practice of misleading participants in a research study to obtain unbiased information when necessary.

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Synthetic Statements

Statements that can be evaluated as either true or false, characteristic of experimental hypotheses.

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Testable Statements

Statements for which actual means of manipulating antecedent conditions and measuring resulting behavior exist.

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Falsifiable Statement

A hypothesis worded such that failures to observe predicted effects count as evidence that the hypothesis is false.

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Inductive Reasoning

Reasoning that proceeds from specific observations to general principles.

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Deductive Reasoning

Reasoning that proceeds from general principles to specific predictions.

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Null Hypothesis

A statement predicting zero relationship or no significant difference between conditions.

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Independent Variable

The variable manipulated by the experimenter to assess its causal relationship to an observed phenomenon.

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Dependent Variable

The variable that changes, appears, or disappears in response to manipulation of the independent variable.

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Abstract

A concise summary of a research report ranging from 150 to 250 words, written in past tense, containing statement of problem, methods, results, and conclusions.

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Extraneous Variable

Any factor that is not the primary focus of the experiment but has potential to influence the results.

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Confounding Variable

An extraneous variable that impacts the dependent variable while simultaneously correlating with or affecting the independent variable.

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Control Variable

A variable not of central interest that is intentionally held constant or limited to prevent it from influencing outcomes.

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Nominal Scale

A scale of measurement that classifies items into two or more distinct named categories.

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Ordinal Scale

A scale of measurement where values are ordered or ranked in terms of magnitude.

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Interval Scale

A quantitative scale of measurement with equal intervals between adjacent values, but lacking a true zero point.

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Ratio Scale

A quantitative measurement scale characterized by equal intervals and a true zero point.

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Reliability

The degree to which experimental measurements are consistent or repeatable over time.

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Interrater Reliability

The level of agreement between measurements recorded by different raters or observers evaluating the same responses.

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Validity

The extent to which an experimental method actually measures the specific variable it is designed to evaluate.

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Internal Validity

The degree to which a study establishes that changes in the dependent variable were directly caused by manipulation of the independent variable.

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Demand Characteristics

Aspects of the experimental setting that signal to participants how they are expected to behave.

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<p>Pygmalion Effect</p>

Pygmalion Effect

A self-fulfilling prophecy wherein an experimenter's expectations subtly influence subject performance and outcome.

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Double-Blind Experiment

An experimental procedure in which neither the participants nor the experimenters know which treatment condition participants receive.

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Between-Subjects Design

An experimental design in which distinct, non-overlapping groups of subjects are assigned to different treatment conditions.

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Random Assignment

A procedure in which every participant has an equal opportunity of being selected for any treatment condition.

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Effect Size

A statistical estimate indicating the magnitude or strength of a treatment effect.

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Variance Formula

The average of squared differences from the mean, calculated as s2=∑(X−Xˉ)2ns^2 = \frac{\sum (X - \bar{X})^2}{n}.

<p>The average of squared differences from the mean, calculated as $$s^2 = \frac{\sum (X - \bar{X})^2}{n}$$.</p>
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Standard Deviation

A measure of data dispersion around the mean, calculated as the square root of variance s=∑(X−Xˉ)2ns = \sqrt{\frac{\sum (X - \bar{X})^2}{n}}.

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Type I Error

A false positive statistical error occurring when a researcher mistakenly rejects a true null hypothesis.

<p>A false positive statistical error occurring when a researcher mistakenly rejects a true null hypothesis.</p>
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Type II Error

A false negative statistical error occurring when a researcher fails to reject a false null hypothesis.

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Within-Subjects Design

An experimental design in which every subject participates in all treatment conditions.

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Progressive Error

Systematic changes in participant performance across repeated treatment trials caused by practice, learning, fatigue, or boredom.

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<p>Main Effect</p>

Main Effect

The direct effect of one independent variable on the dependent variable, averaged across all levels of other independent variables.

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<p>Interaction Effect</p>

Interaction Effect

An outcome in factorial designs where the effect of one independent variable varies depending on the level of another independent variable.

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<p>Crossover Interaction</p>

Crossover Interaction

A specific interaction pattern displayed graphically by intersecting non-parallel lines, indicating opposite treatment effects across variable levels.

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Small N Design

A research design used to intensely analyze the behavior of an individual participant or a small sample.

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External Validity

The degree to which research conclusions can be generalized to different real-world settings, procedures, and populations.

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Hawthorne Effect

The tendency of research participants to alter their behavior simply because they know they are being observed.

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Phenomenology

A nonexperimental method focusing on describing an individual's immediate conscious experience.

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Case Study

An in-depth descriptive recording made by an outside observer of an individual's personal history, experiences, or behaviors.

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<p>Scatterplot</p>

Scatterplot

A visual representation of scores belonging to subjects on two continuous variables, used to display direction and strength of relationship.

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Factor Analysis

A statistical data-reduction technique used to identify subsets of correlated variables within a large dataset.

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Quasi-Experimental Design

A design that resembles an experiment but lacks complete experimental control, such as random assignment or manipulation of antecedents.

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<p>Longitudinal Design</p>

Longitudinal Design

A quasi-experimental developmental approach tracking changes over time in the same cohort of individuals.

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<p>Cross-Sectional Design</p>

Cross-Sectional Design

A developmental study comparing distinct groups of participants of varying ages at a single point in time.

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Yea-Sayers

Survey respondents who systematically agree with questions regardless of their manifest content.

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Stratified Random Sampling

A probability sampling method where random samples are drawn from population subgroups in proportions matching the overall population.

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Snowball Sampling

A non-probability sampling method where current participants identify or recruit additional respondents meeting specific research criteria.