The CIPP model of evaluation includes:
CIPP stands for Context, Input, Process, Product.
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CIPP stands for Context, Input, Process, Product.
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Wheeler's model is cyclical, allowing feedback and revision.
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Taba begins with diagnosing learner needs.
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Taba's model is inductive and grassroots, starting with teacher-led diagnosis of needs.
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Tyler's elements are objectives, learning experiences, organization of learning experiences, and evaluation; content organization is not one of them.
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Tyler's first question concerns educational purposes and objectives.
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Tyler's rationale is objectives-centered; it starts with educational purposes and objectives.
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Evaluation judges effectiveness and informs revision and improvement.
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Implementation is the actual delivery and enactment of the curriculum in classrooms.
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The content and methods phase deals with subject matter selection and instructional approaches.
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Planning focuses on identifying needs and formulating educational objectives.
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Curriculum development begins with planning, including needs assessment and objective setting.
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Pilot studies test feasibility, instruments, and procedures before the full study.
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Regression to the mean is the statistical tendency for extreme scores to move closer to the average on retesting.
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A p-value is the probability of obtaining results at least as extreme as observed, assuming the null hypothesis and model are true; it is not the probability the hypothesis is true.
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Triangulation uses multiple data sources or methods to strengthen credibility.
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The pretest itself can sensitize or provide practice, affecting posttest performance; this is the testing effect.
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Theoretical saturation occurs when new data no longer generate new insights or themes.
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A moderator changes the strength or direction of the relationship between independent and dependent variables.
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A mediator explains or accounts for the relationship between predictor and outcome.
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Quasi-experimental designs lack random assignment, so pre-existing group differences threaten internal validity.
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Random assignment balances known and unknown confounders across groups, reducing selection bias.
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No manipulation occurs; the researcher examines an association between variables, so it is correlational.
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Systematic sampling selects every kth element after a random start.
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Cronbach's alpha estimates internal consistency among items measuring the same construct.
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