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