Stats Review Exam 1

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Last updated 10:55 PM on 9/17/24
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50 Terms

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Research Producer

Important for coursework in psychology, graduate school, and working in a research laboratory.

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Research Consumer

Important for psychology courses and future careers, especially in understanding evidence-based treatments.

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Empiricism

Using evidence from the senses or instruments as the basis for conclusions.

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Aim of Empiricists

To be systematic, rigorous, and make their work independently verifiable.

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Theory

A set of statements describing general principles about how variables relate to one another.

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Hypothesis

The specific outcome a researcher expects to observe if the theory is accurate.

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Data

A set of observations.

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Good Scientific Theories

Supported, falsifiable, parsimonious, and do not prove anything.

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Basic Research

Aimed at enhancing the general body of knowledge about a particular topic.

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Translational Research

Bridges basic to applied research, using findings from basic research to develop applications.

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Applied Research

Conducted to solve practical or real-world problems.

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Comparison Group

Enables comparison of outcomes with and without the factor of interest.

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Confounds

Alternative explanations for an outcome in research.

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Research vs

Research is better than experience due to its structured approach.

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Probabilistic

Findings are not expected to explain all cases all the time.

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Availability Heuristic

Being persuaded by what easily comes to mind, leading to overestimation of frequency.

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Present/Present Bias

Failing to consider what we cannot see, influenced by vivid or memorable instances.

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Confirmation Bias

Focusing on evidence that supports pre-existing beliefs.

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Bias Blind Spot

The belief that one is unlikely to be biased.

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Empirical Journal Abstract Components

Introduction, Method, Results, Discussion, References.

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Variable

Something that changes or varies, requiring at least two levels or values.

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Constant

A factor that does not vary and remains the same.

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Measured Variable

Observed and recorded in research.

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Manipulated Variable

Controlled by the researcher.

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Conceptual Variables

Abstract concepts that cannot be measured directly.

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Operationalized Variables

Conceptual definitions turned into measurable or manipulable variables.

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Claim

An argument someone is trying to make.

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Frequency Claim

Describes a particular rate or degree of a single variable.

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Association Claim

Argues that one variable is likely associated with another.

<p>Argues that one variable is likely associated with another.</p>
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Causal Claim

Suggests a cause-and-effect relationship between variables.

<p>Suggests a cause-and-effect relationship between variables.</p>
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Construct Validity

How accurately a researcher operationalizes each variable.

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External Validity

How well study participants represent the intended population.

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Statistical Validity

How well the statistics support the claim.

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Internal Validity

How well the study eliminates alternative explanations.

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Random Assignment

Increases internal validity by controlling for alternative explanations.

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Self-Report

Asking people questions about themselves in a questionnaire or interview.

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Observational

Recording observable behaviors.

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Physiological Measures

Recording biological data.

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Scales of Measurement

Different levels of measurement including nominal, ordinal, interval, and ratio.

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Reliability

Consistency of results from a measure.

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Test-Retest Reliability

Consistent scores every time a measure is used.

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Interrater Reliability

Consistent scores regardless of who measures or codes.

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Internal Reliability

Consistent response patterns from participants.

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Validity

Whether the operationalization measures what it’s supposed to measure.

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Face Validity

The measure appears to measure what it claims.

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Content Validity

The measure includes all parts that the theory suggests.

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Criterion Validity

Relation of a self-report measure to a concrete outcome.

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Convergent Validity

Strong correlation with other self-report measures of the same construct.

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Discriminant Validity

Weaker correlation with self-report measures of different constructs.

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Relationship between Reliability and Validity

A measure can be less valid than reliable, but not more valid than reliable.