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Test your basic knowledge |
Measuring And Evaluating Teaching
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Study First
Subject
:
teaching
Instructions:
Answer 50 questions in 15 minutes.
If you are not ready to take this test, you can
study here
.
Match each statement with the correct term.
Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.
This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. 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
Program Evaluation
Independent Variable
Dichotomous Variable
Randomization
2. The process of assigning the sample that's drawn to different groups or treatments in the study.
Outlier
Significant
Continuous Variable
Random Assignment
3. A variable whose quantification can be broken down into extremely small units (for example - time - speed - distance).
Extraneous Variables
Independent Variable
Outlier
Continuous Variable
4. Objective and measurable quantitative measures - whether stated in terms of frequency - percentage - proportion - or time.
Experimental Group
Regression Line
Hard Data
Stratified Random Sampling
5. 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.
Frequency Distributions
Random Sampling
Reliability
Continuous Variable
6. 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.
Dependent Variable
Control Group
Intervention
Validity
7. A model for measuring effectiveness through four perspectives: the customer perspective - the innovation and learning perspective - the internal business perspective - and the financial perspective.
Reliability
balanced Scorecard Approach
Smile Sheet
Random Selection
8. A measure of the relationship between two or more variables; if one changes - the other is likely to make a corresponding change. If such a change moves the variables in opposite directions - it is a negative correlation.
Frequency Distributions
Outlier
Standard Deviation
Correlation
9. A type of test reliability in which one test is split into two shorter ones.
Continuous Variable
Dichotomous Variable
Split-half Reliability
Frequency Distributions
10. The process of drawing the sample of people for a study from the population.
Smile Sheet
Dichotomous Variable
Random Selection
Stratified Random Sampling
11. A measure of how spread out a distribution is. It's calculated as the average squared deviation of each number from the mean of a data set
Regression Line
Frequency Distributions
Variance
Confounding Variable
12. 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.
Control Group
Variance
Criterion Validity
Dichotomous Variable
13. 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.
Training Transfer Evaluation
Hard Data
Ordinal Variables
Variance
14. The best-fitting straight line through all value pairs of correlation coefficients.
Qualitative Data
Continuous Variable
Regression Line
Dependent Variable
15. Is information that can be difficult to express in measures or numbers.
Dependent Variable
Nominal Data
Confidence Interval
Qualitative Data
16. 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.
Normal Distribution
Mean Score
Ordinal Data
Skewness
17. The variable that influences the dependent variable. Age - seniority - gender - shift - level of education - and so on may all be factors (independent variables) that influence a person's performance (the dependent variable).
Independent Variable
Soft Data
Qualitative Analysis
Selection Bias
18. Numbers or variables used to classify a system - as in digits in a telephone number or numbers on a football player's jersey.
Nominal Data
Intervention
Effect Size
Inferential Statistics
19. The range where something is expected to be.
Confidence Interval
Inferential Statistics
Independent Variable
Effect Size
20. Measures the success of the learner's ability to transfer and implement the learning back on the job.
Training Transfer Evaluation
Random Selection
Random Sampling
Randomization
21. A nickname for the instructor and class training evaluation forms used in Level 1 evaluation.
Smile Sheet
Treatment (Experimental) Variable
Discrete Variable
Qualitative Data
22. A way of quantifying the difference - using standard deviation - between two groups. For example - if one group (the treatment group) has had an experimental treatment and the other (the control group) has not - the effect size is a measure of the ef
Regression Line
Hard Data
Inferential Statistics
Effect Size
23. The most robust - or least affected by the presence of extreme values (outliers) - of the three types of central tendency because each number in the data set has an impact on its (mean) value.
Mean Score
Criterion Validity
Extant Data
Confounding Variable
24. A variable in which the units are in the whole numbers - or 'discrete' units (for example - number of children - number of defects).
Qualitative Analysis
Intervention
Discrete Variable
Significant
25. Assess the impact of a training program on learning.
Covariates
Confidence Interval
Normal Distribution
Program Evaluation
26. Asymmetry in the distribution of sample data values.
Covariates
Formative Evaluation
Skewness
Hard Data
27. Involves looking at participant's opinions - behaviors - and attributes and is often descriptive.
Inferential Statistics
Outlier
Qualitative Analysis
Ordinal Data
28. An assessment done when while its being formed.
Formative Evaluation
Continuous Variable
Outlier
Interval Variables
29. A group of participants in an experiment that's equal in all ways to the experimental group - except the control group doesn't receive the experimental treatment.
Mean Score
Variance
Random Selection
Control Group
30. Make it possible to rank order the items measured and quantify and compare the sizes of differences between them.
Random Assignment
Frequency Distributions
Experimental Group
Interval Variables
31. The treatment group; those participants who receive the 'treatment.'
Standard Deviation
Covariates
Program Evaluation
Experimental Group
32. Archival or existing records - reports - and data that may be available inside or outside an organization. Examples include - job descriptions - competency models - benchmarking reports - annual reports - financial statements - strategic plans - miss
Extant Data
Confounding Variable
Mean Score
Training Transfer Evaluation
33. 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.
Confidence Interval
Extant Data
Ordinal Data
Criterion Validity
34. A data point that's far removed in value from others in the data set.
Confidence Interval
Outlier
Discrete Variable
Experimental Group
35. Qualitative measures are more intangible - anecdotal - personal - and subjective - as in opinions - attitudes - assumptions - feelings - values - and desires. Qualitative data can't be objectified - and that characteristic makes this type of data val
Standard Deviation
Soft Data
Experimental Design
Intervention
36. Frequently thought of as the 'outcome.' Or treatment variable. The dependent variable's outcome depends on the independent variable and covariates.
Nominal Data
Inferential Statistics
Validity
Dependent Variable
37. A variable that falls into one of two possible classifications (for example - number of children - number of defects).
Hard Data
Inferential Statistics
Dichotomous Variable
Selection Bias
38. Evaluators to make inferences about data from the sample to a compare the sixes of differences between them.
Effect Size
Significant
Inferential Statistics
Normal Distribution
39. The ability to achieve consistent results from a measurement over time.
Qualitative Data
Standard Deviation
Reliability
Frequency Distributions
40. The extent to which an instrument agrees with the results of other instruments administered at approximately the same time to measure the same characteristics.
Smile Sheet
Frequency Distributions
Mean Score
Concurrent Validity
41. Means probably true (not by chance) in statistics.
Training Transfer Evaluation
Ordinal Data
Mean Score
Significant
42. The error of distorting a statistical analysis be pre-or post selecting the samples.
Skewness
Formative Evaluation
Training Transfer Evaluation
Selection Bias
43. Dividing the population into constituent parts - and then choosing sample members randomly choosing people from each age group creates a stratified random sample.
Stratified Random Sampling
Independent Variable
Randomization
Significant
44. 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.
Experimental Design
Hard Data
Discrete Variable
Outlier
45. An unknown or uncontrolled variable that produces an effect in experimental setting. A confounding variable is an independent variable that the evaluator didn't somehow recognize or control. It becomes a variable that confounds the experiment.
Hard Data
Confounding Variable
Training Transfer Evaluation
Interval Variables
46. The term researchers and statisticians use to define the 'manipulated' variable in an experiment. An 'experiment group' receives a treatment (for example - attends a training program) - and a control group does not.
Smile Sheet
Dichotomous Variable
Treatment (Experimental) Variable
Effect Size
47. A commonly used measure or indicator of the amount of variability of scores from the mean. The standard deviation is often used in formulas for advanced or inferential statistics.
Significant
Nominal Data
Standard Deviation
Independent Variable
48. Undesirable variables that influence the relationship between variables an evaluator is examining.
Criterion Validity
Confidence Interval
Reliability
Extraneous Variables
49. Show the actual number of observations falling in each range or percentage of observations.
Stratified Random Sampling
Nominal Data
Frequency Distributions
Extant Data
50. Involves measuring what the practitioner intended to measure.
Validity
Frequency Distributions
Correlation
Experimental Group