(6) Descriptive Methods & Research Methods (Video Notes)

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Vocabulary flashcards covering key terms from the lecture notes on research methods, data types, survey design, and biases.

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19 Terms

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Operational definition

A measurable, observable definition of a concept used in research to ensure replicability (e.g., aggression defined in observable, countable terms).

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Replication

Repeating a study with different subjects or settings to test whether findings generalize to the broader population.

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Descriptive Methods

Research approaches that describe behaviors and phenomena, including case studies, surveys, and naturalistic observation.

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Case Study

An in-depth examination of one person or a small group to reveal underlying truths.

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Survey

A method of collecting self-reported information about a population from respondents, often via questionnaires.

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Naturalistic Observation

Observing behavior in the subject's natural environment without manipulation.

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Quantitative Data

Data expressed as numbers; used to measure quantity and identify patterns.

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Qualitative Data

Non-numerical data used to gain deeper insight into experiences and behaviors.

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Correlational methods

Research methods that examine relationships between variables without manipulating them.

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Experimental methods

Research methods that manipulate one or more variables to determine causal effects.

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Wording effects

Changes in survey results due to how questions are phrased.

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Social desirability bias

A tendency for respondents to answer in a way they think will be viewed favorably.

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Sampling bias

A bias that occurs when the sample is not representative of the population.

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Random sampling

Sampling where every member of the population has an equal chance of selection, producing an unbiased sample.

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Likelihood scale (Likert scale)

A multi-point scale used to measure attitudes or opinions, typically from Strongly Agree to Strongly Disagree.

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Structured interviews

Interviews with predetermined questions asked in the same order to all participants.

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Big data

Large-scale data analysis (e.g., social media data) used to study patterns in human behavior at scale.

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Social facilitation

People may change their behavior when they know they are being observed.

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False consensus effect

The tendency to overestimate how much others share our beliefs or opinions.