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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. The process of assigning the sample that's drawn to different groups or treatments in the study.
Random Assignment
Soft Data
Normal Distribution
Criterion Validity
2. 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
Treatment (Experimental) Variable
Ordinal Variables
Confidence Interval
3. Means probably true (not by chance) in statistics.
Randomization
Concurrent Validity
Significant
Validity
4. The range where something is expected to be.
Confidence Interval
Covariates
Normal Distribution
Experimental Design
5. Is information that can be difficult to express in measures or numbers.
Concurrent Validity
Qualitative Analysis
Inferential Statistics
Qualitative Data
6. The best-fitting straight line through all value pairs of correlation coefficients.
Treatment (Experimental) Variable
Split-half Reliability
Regression Line
Reliability
7. Make it possible to rank order the items measured and quantify and compare the sizes of differences between them.
Selection Bias
Random Sampling
Covariates
Interval Variables
8. 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.
Treatment (Experimental) Variable
Program Evaluation
Nominal Data
Inferential Statistics
9. Involves looking at participant's opinions - behaviors - and attributes and is often descriptive.
Reliability
Qualitative Analysis
Split-half Reliability
Correlation
10. A variable whose quantification can be broken down into extremely small units (for example - time - speed - distance).
Control Group
Standard Deviation
Continuous Variable
Mean Score
11. A data point that's far removed in value from others in the data set.
Hard Data
Outlier
Control Group
Discrete Variable
12. Show the actual number of observations falling in each range or percentage of observations.
Extant Data
Frequency Distributions
Smile Sheet
Nominal Data
13. 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.
Confidence Interval
Normal Distribution
balanced Scorecard Approach
Control Group
14. 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.
Interval Variables
Randomization
Criterion Validity
Experimental Design
15. An assessment done when while its being formed.
Smile Sheet
Formative Evaluation
Extraneous Variables
Treatment (Experimental) Variable
16. The error of distorting a statistical analysis be pre-or post selecting the samples.
Extant Data
balanced Scorecard Approach
Selection Bias
Standard Deviation
17. Objective and measurable quantitative measures - whether stated in terms of frequency - percentage - proportion - or time.
Mean Score
Stratified Random Sampling
Hard Data
Interval Variables
18. 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
Randomization
Training Transfer Evaluation
Covariates
Extant Data
19. Involves measuring what the practitioner intended to measure.
Smile Sheet
Validity
Treatment (Experimental) Variable
Continuous Variable
20. 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.
Criterion Validity
Smile Sheet
Concurrent Validity
Mean Score
21. 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
Stratified Random Sampling
Extant Data
Significant
Split-half Reliability
22. Numbers or variables used to classify a system - as in digits in a telephone number or numbers on a football player's jersey.
Hard Data
Nominal Data
Validity
Correlation
23. The process of drawing the sample of people for a study from the population.
Random Assignment
Random Selection
Standard Deviation
Nominal Data
24. 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
Dichotomous Variable
Ordinal Variables
Random Assignment
25. Measures the success of the learner's ability to transfer and implement the learning back on the job.
Training Transfer Evaluation
Reliability
Soft Data
Dependent Variable
26. 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
Soft Data
Randomization
Interval Variables
Covariates
27. A model for measuring effectiveness through four perspectives: the customer perspective - the innovation and learning perspective - the internal business perspective - and the financial perspective.
balanced Scorecard Approach
Continuous Variable
Mean Score
Extraneous Variables
28. The extent to which an instrument agrees with the results of other instruments administered at approximately the same time to measure the same characteristics.
Random Selection
Experimental Design
Concurrent Validity
Ordinal Data
29. The treatment group; those participants who receive the 'treatment.'
Experimental Group
Soft Data
Ordinal Variables
Significant
30. Assess the impact of a training program on learning.
Qualitative Analysis
Validity
Program Evaluation
Variance
31. A variable in which the units are in the whole numbers - or 'discrete' units (for example - number of children - number of defects).
Soft Data
Normal Distribution
Discrete Variable
Smile Sheet
32. 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.
Effect Size
Normal Distribution
Ordinal Data
Treatment (Experimental) Variable
33. 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.
Control Group
balanced Scorecard Approach
Experimental Design
Random Assignment
34. Asymmetry in the distribution of sample data values.
Mean Score
Dependent Variable
Nominal Data
Skewness
35. A variable that falls into one of two possible classifications (for example - number of children - number of defects).
Frequency Distributions
Dichotomous Variable
Regression Line
Outlier
36. Evaluators to make inferences about data from the sample to a compare the sixes of differences between them.
Extraneous Variables
Qualitative Analysis
Covariates
Inferential Statistics
37. 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).
Reliability
Independent Variable
balanced Scorecard Approach
Random Selection
38. The ability to achieve consistent results from a measurement over time.
Discrete Variable
Split-half Reliability
Extraneous Variables
Reliability
39. 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.
balanced Scorecard Approach
Qualitative Analysis
Normal Distribution
Mean Score
40. The multiple dependent variables in a study with multiple independent variables.
Covariates
Random Sampling
Variance
Random Selection
41. 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.
Smile Sheet
Effect Size
Intervention
Regression Line
42. Undesirable variables that influence the relationship between variables an evaluator is examining.
Hard Data
Mean Score
Extraneous Variables
Outlier
43. 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.
Experimental Design
Continuous Variable
Smile Sheet
Ordinal Variables
44. Frequently thought of as the 'outcome.' Or treatment variable. The dependent variable's outcome depends on the independent variable and covariates.
Program Evaluation
Ordinal Variables
Random Assignment
Dependent Variable
45. 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
Ordinal Data
Qualitative Data
Effect Size
Correlation
46. A nickname for the instructor and class training evaluation forms used in Level 1 evaluation.
Treatment (Experimental) Variable
Continuous Variable
Smile Sheet
Validity
47. 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.
Confounding Variable
Independent Variable
Concurrent Validity
Reliability
48. A type of test reliability in which one test is split into two shorter ones.
Frequency Distributions
Split-half Reliability
Validity
Discrete Variable
49. 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.
Random Sampling
Continuous Variable
Program Evaluation
Variance
50. 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.
Standard Deviation
Ordinal Data
Regression Line
Effect Size