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Measuring And Evaluating Teaching
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Study First
Subject
:
teaching
Instructions:
Answer 50 questions in 15 minutes.
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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. 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
Experimental Design
Regression Line
Mean Score
2. A type of test reliability in which one test is split into two shorter ones.
Standard Deviation
Discrete Variable
Split-half Reliability
Ordinal Variables
3. 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
Confounding Variable
Independent Variable
Formative Evaluation
4. Is information that can be difficult to express in measures or numbers.
Qualitative Data
Covariates
balanced Scorecard Approach
Random Selection
5. The multiple dependent variables in a study with multiple independent variables.
Independent Variable
Covariates
Random Assignment
Effect Size
6. Frequently thought of as the 'outcome.' Or treatment variable. The dependent variable's outcome depends on the independent variable and covariates.
Experimental Design
Hard Data
Dependent Variable
Stratified Random Sampling
7. A variable whose quantification can be broken down into extremely small units (for example - time - speed - distance).
Continuous Variable
Regression Line
Dichotomous Variable
Random Sampling
8. 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.
Stratified Random Sampling
Program Evaluation
Extant Data
Ordinal Variables
9. 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.
Ordinal Data
Split-half Reliability
Reliability
Normal Distribution
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
Treatment (Experimental) Variable
Variance
Normal Distribution
Dependent Variable
11. A variable that falls into one of two possible classifications (for example - number of children - number of defects).
Continuous Variable
Random Assignment
Dichotomous Variable
Selection Bias
12. Involves measuring what the practitioner intended to measure.
Control Group
Ordinal Data
Training Transfer Evaluation
Validity
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.
Variance
Interval Variables
Confidence Interval
Ordinal Data
14. Make it possible to rank order the items measured and quantify and compare the sizes of differences between them.
Experimental Group
Interval Variables
Inferential Statistics
Stratified Random Sampling
15. 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.
Intervention
Extant Data
Mean Score
Selection Bias
16. 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
Selection Bias
Control Group
Experimental Group
17. 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
Independent Variable
Effect Size
Extant Data
Treatment (Experimental) Variable
18. 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
Covariates
Validity
Interval Variables
Soft Data
19. The process of drawing the sample of people for a study from the population.
Skewness
Effect Size
Random Selection
balanced Scorecard Approach
20. Show the actual number of observations falling in each range or percentage of observations.
Frequency Distributions
Experimental Design
Intervention
Discrete Variable
21. 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.
Ordinal Variables
Validity
Criterion Validity
Selection Bias
22. The ability to achieve consistent results from a measurement over time.
Confounding Variable
Outlier
Reliability
Interval Variables
23. 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.
Intervention
Training Transfer Evaluation
Reliability
Random Sampling
24. An assessment done when while its being formed.
Hard Data
Formative Evaluation
Random Selection
Experimental Group
25. Involves looking at participant's opinions - behaviors - and attributes and is often descriptive.
Variance
Discrete Variable
Qualitative Analysis
Treatment (Experimental) Variable
26. 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
Ordinal Data
Randomization
Nominal Data
Experimental Design
27. Assess the impact of a training program on learning.
Random Assignment
Hard Data
Program Evaluation
Control Group
28. The range where something is expected to be.
Program Evaluation
Selection Bias
Inferential Statistics
Confidence Interval
29. The treatment group; those participants who receive the 'treatment.'
Standard Deviation
Experimental Group
Formative Evaluation
balanced Scorecard Approach
30. The best-fitting straight line through all value pairs of correlation coefficients.
Stratified Random Sampling
Regression Line
Ordinal Data
Program Evaluation
31. A variable in which the units are in the whole numbers - or 'discrete' units (for example - number of children - number of defects).
Smile Sheet
Independent Variable
Standard Deviation
Discrete Variable
32. The extent to which an instrument agrees with the results of other instruments administered at approximately the same time to measure the same characteristics.
Skewness
Independent Variable
Intervention
Concurrent Validity
33. 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.
Independent Variable
balanced Scorecard Approach
Selection Bias
Intervention
34. 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.
Covariates
Variance
Frequency Distributions
Treatment (Experimental) Variable
35. Evaluators to make inferences about data from the sample to a compare the sixes of differences between them.
Nominal Data
Experimental Design
Inferential Statistics
Criterion Validity
36. The error of distorting a statistical analysis be pre-or post selecting the samples.
Stratified Random Sampling
balanced Scorecard Approach
Random Selection
Selection Bias
37. A nickname for the instructor and class training evaluation forms used in Level 1 evaluation.
Discrete Variable
Extant Data
Skewness
Smile Sheet
38. Asymmetry in the distribution of sample data values.
Skewness
Confidence Interval
Training Transfer Evaluation
Standard Deviation
39. 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.
Experimental Design
Dichotomous Variable
Correlation
Ordinal Variables
40. Measures the success of the learner's ability to transfer and implement the learning back on the job.
Extraneous Variables
Covariates
Reliability
Training Transfer Evaluation
41. 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
Smile Sheet
Effect Size
Normal Distribution
Randomization
42. The process of assigning the sample that's drawn to different groups or treatments in the study.
Random Assignment
Nominal Data
Extant Data
Formative Evaluation
43. Objective and measurable quantitative measures - whether stated in terms of frequency - percentage - proportion - or time.
Hard Data
Random Selection
Effect Size
Treatment (Experimental) Variable
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.
Nominal Data
Reliability
Experimental Design
Skewness
45. 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.
Split-half Reliability
Mean Score
Effect Size
Standard Deviation
46. A data point that's far removed in value from others in the data set.
Discrete Variable
Randomization
Split-half Reliability
Outlier
47. 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 Selection
Ordinal Variables
Control Group
Experimental Design
48. 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
Frequency Distributions
balanced Scorecard Approach
Mean Score
49. Undesirable variables that influence the relationship between variables an evaluator is examining.
Extraneous Variables
Treatment (Experimental) Variable
Hard Data
Regression Line
50. A model for measuring effectiveness through four perspectives: the customer perspective - the innovation and learning perspective - the internal business perspective - and the financial perspective.
Concurrent Validity
Intervention
balanced Scorecard Approach
Randomization