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Measuring And Evaluating Teaching
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Measuring And Evaluating Teaching
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1. A type of test reliability in which one test is split into two shorter ones.

2. Means probably true (not by chance) in statistics.

3. A method that helps diffuses the covariates across the experimental and control groups. Researchers in organizations often have multiple dependent variable with one independent variable (for example - performance

4. Is information that can be difficult to express in measures or numbers.

5. Show the actual number of observations falling in each range or percentage of observations.

6. The extent to which an instrument agrees with the results of other instruments administered at approximately the same time to measure the same characteristics.

7. Undesirable variables that influence the relationship between variables an evaluator is examining.

8. Make it possible to rank order the items measured and quantify and compare the sizes of differences between them.

9. Variable that make it possible to rank order items measured in terms of which has less and which has more of the quality represented by the variable.

10. The process of organizing an experiment properly to ensure that the right type of data - and enough of it - is available to answer questions of interest as clearly and efficiently as possible.

11. Assess the impact of a training program on learning.

12. Asymmetry in the distribution of sample data values.

13. Numbers or variables that make it possible to rank order items measured in terms of which has less and which has more of the quality represented by the variable.

14. A model for measuring effectiveness through four perspectives: the customer perspective - the innovation and learning perspective - the internal business perspective - and the financial perspective.

15. The multiple dependent variables in a study with multiple independent variables.

16. The range where something is expected to be.

17. Objective and measurable quantitative measures - whether stated in terms of frequency - percentage - proportion - or time.

18. Evaluators to make inferences about data from the sample to a compare the sixes of differences between them.

19. Another name for a solution or set of solutions - usually a combination of (outliners) - of the three types of central tendency because each number in the data set has an impact on its (mean) value.

20. Is a particular way in which observation tend to pile up around a particular value rather than be spread evenly across a range of values.

21. Each person in the population has an equal chance of being chosen for the sample. Choosing every tenth person from an alphabetical list of names - for example - creates a random sample.

22. A variable that falls into one of two possible classifications (for example - number of children - number of defects).

23. The extent to which the assessment can predict or agree with external constructs. Criterion validity is determined by looking at the correlation between the instrument and the criterion measure.

24. The ability to achieve consistent results from a measurement over time.

25. The best-fitting straight line through all value pairs of correlation coefficients.

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