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  2. Concept inventory - Wikipedia

    en.wikipedia.org/wiki/Concept_inventory

    A concept inventory is a criterion-referenced test designed to help determine whether a student has an accurate working knowledge of a specific set of concepts. Historically, concept inventories have been in the form of multiple-choice tests in order to aid interpretability and facilitate administration in large classes.

  3. Sampling (statistics) - Wikipedia

    en.wikipedia.org/wiki/Sampling_(statistics)

    Each observation measures one or more properties (such as weight, location, colour or mass) of independent objects or individuals. In survey sampling, weights can be applied to the data to adjust for the sample design, particularly in stratified sampling. [1] Results from probability theory and statistical theory are employed to guide the practice.

  4. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    The table shown on the right can be used in a two-sample t-test to estimate the sample sizes of an experimental group and a control group that are of equal size, that is, the total number of individuals in the trial is twice that of the number given, and the desired significance level is 0.05. [4]

  5. Sampling design - Wikipedia

    en.wikipedia.org/wiki/Sampling_design

    In business research, companies must often generate samples of customers, clients, employees, and so forth to gather their opinions. Sample design is also a critical component of marketing research and employee research for many organizations. During sample design, firms must answer questions such as:

  6. Structure of observed learning outcome - Wikipedia

    en.wikipedia.org/wiki/Structure_of_observed...

    Uni-structural – The student's response only focuses on one relevant aspect. Students in the uni-structural stage of understanding usually give slightly relevant but vague answers that lack depth. Multi-structural – The student's response focuses on several relevant aspects but they are treated independently and additively. Assessment of ...

  7. Design effect - Wikipedia

    en.wikipedia.org/wiki/Design_effect

    In survey research, the design effect is a number that shows how well a sample of people may represent a larger group of people for a specific measure of interest (such as the mean). This is important when the sample comes from a sampling method that is different than just picking people using a simple random sample .

  8. Standards-based assessment - Wikipedia

    en.wikipedia.org/wiki/Standards-based_assessment

    The purpose of standards-based assessment [5] is to connect evidence of learning to learning outcomes (the standards). When standards are explicit and clear, the learner becomes aware of their achievement with reference to the standards, and the teacher may use assessment data to give meaningful feedback to students about this progress.

  9. Survey methodology - Wikipedia

    en.wikipedia.org/wiki/Survey_methodology

    Survey methodology is "the study of survey methods". [1] As a field of applied statistics concentrating on human-research surveys, survey methodology studies the sampling of individual units from a population and associated techniques of survey data collection, such as questionnaire construction and methods for improving the number and accuracy of responses to surveys.