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Test your basic knowledge |
Measuring And Evaluating Teaching
Start Test
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 model for measuring effectiveness through four perspectives: the customer perspective - the innovation and learning perspective - the internal business perspective - and the financial perspective.
Randomization
Discrete Variable
balanced Scorecard Approach
Control Group
2. 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.
Regression Line
Standard Deviation
Inferential Statistics
Reliability
3. A variable in which the units are in the whole numbers - or 'discrete' units (for example - number of children - number of defects).
Discrete Variable
Continuous Variable
Dichotomous Variable
Training Transfer Evaluation
4. 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.
Interval Variables
Program Evaluation
Random Sampling
Treatment (Experimental) Variable
5. The best-fitting straight line through all value pairs of correlation coefficients.
Stratified Random Sampling
Experimental Group
Skewness
Regression Line
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.
Concurrent Validity
Experimental Group
Random Sampling
Extant Data
7. Dividing the population into constituent parts - and then choosing sample members randomly choosing people from each age group creates a stratified random sample.
Standard Deviation
Covariates
Stratified Random Sampling
Randomization
8. 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.
Random Assignment
Inferential Statistics
Program Evaluation
Control Group
9. The multiple dependent variables in a study with multiple independent variables.
Standard Deviation
Mean Score
Dependent Variable
Covariates
10. 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
Outlier
Variance
Covariates
Treatment (Experimental) Variable
11. A data point that's far removed in value from others in the data set.
Outlier
Intervention
Treatment (Experimental) Variable
Concurrent Validity
12. A nickname for the instructor and class training evaluation forms used in Level 1 evaluation.
Frequency Distributions
Smile Sheet
Qualitative Data
Formative Evaluation
13. Involves measuring what the practitioner intended to measure.
Covariates
Validity
Random Sampling
Soft Data
14. Assess the impact of a training program on learning.
Effect Size
Program Evaluation
Treatment (Experimental) Variable
Dichotomous Variable
15. 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.
Ordinal Variables
Random Assignment
Frequency Distributions
Normal Distribution
16. Undesirable variables that influence the relationship between variables an evaluator is examining.
Concurrent Validity
Extraneous Variables
Validity
Ordinal Data
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
Standard Deviation
Random Selection
Hard Data
18. Means probably true (not by chance) in statistics.
Interval Variables
Significant
Discrete Variable
Hard Data
19. The process of assigning the sample that's drawn to different groups or treatments in the study.
Random Sampling
Random Assignment
Split-half Reliability
Stratified Random Sampling
20. A type of test reliability in which one test is split into two shorter ones.
Reliability
Normal Distribution
Split-half Reliability
Correlation
21. The process of drawing the sample of people for a study from the population.
Random Selection
Formative Evaluation
Ordinal Variables
Stratified Random Sampling
22. 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.
Intervention
Random Assignment
Concurrent Validity
Skewness
23. The error of distorting a statistical analysis be pre-or post selecting the samples.
Selection Bias
Normal Distribution
Discrete Variable
Random Assignment
24. Involves looking at participant's opinions - behaviors - and attributes and is often descriptive.
Regression Line
Split-half Reliability
Outlier
Qualitative Analysis
25. Numbers or variables used to classify a system - as in digits in a telephone number or numbers on a football player's jersey.
Mean Score
Nominal Data
Reliability
Frequency Distributions
26. An assessment done when while its being formed.
Formative Evaluation
Continuous Variable
Ordinal Variables
Standard Deviation
27. Asymmetry in the distribution of sample data values.
Experimental Group
Interval Variables
Skewness
Confounding Variable
28. The range where something is expected to be.
Confidence Interval
Randomization
Interval Variables
Random Assignment
29. Measures the success of the learner's ability to transfer and implement the learning back on the job.
Normal Distribution
Training Transfer Evaluation
Hard Data
balanced Scorecard Approach
30. Frequently thought of as the 'outcome.' Or treatment variable. The dependent variable's outcome depends on the independent variable and covariates.
Dependent Variable
Validity
Concurrent Validity
Interval Variables
31. A variable that falls into one of two possible classifications (for example - number of children - number of defects).
Training Transfer Evaluation
Dichotomous Variable
Confounding Variable
Interval Variables
32. Is information that can be difficult to express in measures or numbers.
Qualitative Analysis
Qualitative Data
Treatment (Experimental) Variable
Outlier
33. The ability to achieve consistent results from a measurement over time.
Interval Variables
Confounding Variable
Reliability
Normal Distribution
34. 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
Randomization
Skewness
Correlation
Soft Data
35. Show the actual number of observations falling in each range or percentage of observations.
Intervention
Program Evaluation
Frequency Distributions
Treatment (Experimental) Variable
36. Objective and measurable quantitative measures - whether stated in terms of frequency - percentage - proportion - or time.
Concurrent Validity
Random Sampling
Hard Data
Significant
37. 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
Random Assignment
Qualitative Data
Split-half Reliability
38. 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.
Training Transfer Evaluation
Ordinal Data
Treatment (Experimental) Variable
Interval Variables
39. 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
Correlation
Randomization
Experimental Design
Significant
40. 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.
Experimental Design
Selection Bias
Mean Score
Concurrent Validity
41. Make it possible to rank order the items measured and quantify and compare the sizes of differences between them.
Independent Variable
Interval Variables
Continuous Variable
Significant
42. Evaluators to make inferences about data from the sample to a compare the sixes of differences between them.
Inferential Statistics
Ordinal Data
Validity
Frequency Distributions
43. 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
Formative Evaluation
Dependent Variable
Effect Size
Smile Sheet
44. The treatment group; those participants who receive the 'treatment.'
Ordinal Variables
Covariates
Nominal Data
Experimental Group
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.
Reliability
Outlier
Smile Sheet
Confounding Variable
46. 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
Treatment (Experimental) Variable
Interval Variables
Extant Data
Continuous Variable
47. 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.
Normal Distribution
Validity
Treatment (Experimental) Variable
balanced Scorecard Approach
48. 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.
Correlation
Smile Sheet
Training Transfer Evaluation
Soft Data
49. A variable whose quantification can be broken down into extremely small units (for example - time - speed - distance).
Reliability
Experimental Group
Smile Sheet
Continuous Variable
50. 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.
Extant Data
Formative Evaluation
Normal Distribution
Soft Data