Thinking Critically with Psychological Science & Research Design

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Vocabulary practice flashcards covering psychological research methods, experimental design, sampling techniques, statistical concepts, types of bias, validity, and reliability.

Last updated 1:20 AM on 10/1/26
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54 Terms

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Hindsight Bias

The tendency to believe, after learning an outcome, that one would have foreseen it; also known as the "I-knew-it-all-along" phenomenon.

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Overconfidence

The tendency to think we know more than we actually do.

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Critical Thinking

Thinking that does not blindly accept arguments and conclusions by examining assumptions, discerning hidden values, and evaluating evidence.

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Theory

An explanation using an integrated set of principles that organizes and predicts observations.

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Hypothesis

A testable prediction, often implied by a theory.

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Null-Hypothesis

A hypothesis that addresses what occurs if the research prediction is wrong, stating that there is no effect or relationship.

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Experiment

A research design used to establish cause-and-effect relationships by manipulating specific factors while controlling others.

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Demand Characteristics

Cues or features in an experiment that lead participants to guess the aim of the study and alter their behavior accordingly.

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Placebo Effect

Experimental results caused by participant expectations alone or belief in a treatment rather than the treatment itself.

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Correlational Study

A study that measures the statistical relationship between two naturally occurring variables to assess how well one predicts another without manipulating factors.

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Correlation Coefficient

A statistical measure of the extent to which two factors vary together, indicating direction (positive or negative) and strength on a scale from 0.000.00 to 1.001.00.

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Cross-Sectional Study

A research design in which data is collected from participants at a single point in time.

<p>A research design in which data is collected from participants at a single point in time.</p>
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Longitudinal Study

A research design in which data is collected repeatedly from the same subjects over an extended period of time.

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Case Study

An in-depth, deep-dive examination of a single individual, group, or event.

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Replication

Repeating the essence of a research study, usually with different participants in different situations, to see whether the basic finding generalizes.

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Survey

A technique for ascertaining self-reported attitudes or behaviors of people, usually by questioning a representative, random sample.

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Independent Variable (IV)

The experimental factor that is manipulated by the researcher to study its effect.

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Dependent Variable (DV)

The experimental factor that is measured and may change in response to manipulations of the independent variable.

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Experimental Condition

The condition of an experiment that exposes participants to the treatment or manipulated independent variable.

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Control Condition

The condition of an experiment where the independent variable is not applied, serving as a comparison baseline.

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Extraneous Variable

Other factors that can potentially affect research results which researchers attempt to control in advance.

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Confounding Variable

An extra factor directly affecting the dependent variable, often identified after results are gathered.

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Operationalization

The precise specification of how a variable will be measured or quantified in a study.

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Random Sampling

A sampling method in which every member of the target population has an equal chance of being selected.

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Opportunity Sampling

A sampling technique that selects individuals who are readily available at the time of the study.

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Snowball Sampling

A sampling method where existing study participants recruit future participants from among their acquaintances.

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Stratified Sampling

A sampling technique where sample proportions match the specific sub-group percentages of the target population.

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Cluster Sampling

A sampling technique where the population is divided into groups or clusters, and entire groups are selected.

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Systematic Sampling

A sampling method where participants are chosen according to a fixed interval, such as every nthn\text{th} person from a list.

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Quantitative Data

Research data expressed in numerical form.

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Qualitative Data

Research data expressed in words, descriptions, or observations.

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Primary Data

Data collected directly by the researcher specifically for the research study at hand.

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Secondary Data

Data collected by someone other than the primary researcher for another purpose.

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Mode

The most frequently occurring score in a distribution.

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Mean

The arithmetic average of a distribution, obtained by adding all scores and dividing by the total number of scores.

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Median

The middle score in a distribution, where half of the scores are above it and half are below it.

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Range

A measure of variability calculated as the difference between the highest and lowest scores in a data set.

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Standard Deviation

A measure of variability reflecting the average distance between every score and the mean, calculated as Standard deviation=Sum of (deviations)2Number of scores\text{Standard deviation} = \sqrt{\frac{\text{Sum of (deviations)}^2}{\text{Number of scores}}}.

<p>A measure of variability reflecting the average distance between every score and the mean, calculated as $$\text{Standard deviation} = \sqrt{\frac{\text{Sum of (deviations)}^2}{\text{Number of scores}}}$$.</p>
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Normal Curve

A symmetrical bell-shaped distribution where approximately 68%68\% of scores fall within 1 standard deviation of the mean, and about 95%95\% fall within 2 standard deviations.

<p>A symmetrical bell-shaped distribution where approximately $$68\%$$ of scores fall within 1 standard deviation of the mean, and about $$95\%$$ fall within 2 standard deviations.</p>
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Descriptive Statistics

Statistical techniques used to summarize, organize, and describe data sets to make them understandable.

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Inferential Statistics

Statistical procedures that assess the probability that sample results generalize to the larger population rather than occurring by chance.

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Statistical Significance

A determination that an observed research result reflects a real-world effect rather than chance, typically defined as a probability of 5%5\% (p≤0.05p \le 0.05) or less.

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Biased Sample

A sample whose members differ systematically from the larger population the researcher intends to study.

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Observer-Expectancy Effect

A bias that occurs when a researcher's expectations unconsciously influence measurements or participant behavior.

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Subject-Expectancy Effect

A bias that occurs when a subject knows the study design and tries to produce the expected outcome.

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Hawthorne Effect

The tendency for participants to change their behavior simply because they are aware of being watched.

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Social Desirability Bias

The tendency of respondents to answer questions in a manner that will be viewed favorably by others rather than truthfully.

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Publication Bias

The phenomenon where studies showing positive or statistically significant results are more likely to be published than studies with null findings (file drawer effect).

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Reliability

The consistency and stability of research measurements or results across repeated trials.

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Test-Retest Reliability

A measure of consistency determined by administering the same test twice over time to the same participants.

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Inter-Rater Reliability

The degree of agreement among different raters or observers scoring the same phenomenon.

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Internal Validity

The extent to which a study correctly tests its intended hypothesis without confounding variables influencing the outcome.

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External Validity

The degree to which study results can be generalized to other people, settings, and contexts.

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Ecological Validity

A specific type of external validity assessing whether experimental conditions reflect real-world environment and tasks.