Deck 14: Quantitative Data Analysis and Interpretation
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Deck 14: Quantitative Data Analysis and Interpretation
1
Outliers should always be excluded.
False
2
The higher the prevalence of the behavior before the program, the more difficult it becomes to increase the prevalence of the behavior.
True
3
Analysis cannot be done at levels at which the data are more __________________ than the level at which the programmatic intervention was delivered.
discrete
4
Correlational statistics indicate the strength of a relationship, but they do not provide information about __________________ because no information on the temporal sequence of variables can be assessed.
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5
It is important to statistically compare the participants and the control groups on demographic characteristics to show that differences found in the evaluation are due to program differences and not to demographic differences. This type of statistical analysis speaks to the __________________ validity of the evaluation.
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6
In the following data set, which value appears to be an outlier?


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7
Based on prior national research, Bowe County High School hoped to decrease teen pregnancy rates from 6% to 3% through changing from abstinence only to comprehensive sex education. After the program was implemented, the teen pregnancy rate was 4%. What was the effectiveness ratio of this policy change?
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8
List three useful descriptive statistics.
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9
Match each term to its correct definition.
-Data cleaning
-Data cleaning
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10
Match each term to its correct definition.
-Linked data
-Linked data
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11
Match each term to its correct definition.
-Net program effect
-Net program effect
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12
Match each term to its correct definition.
-Aggregation
-Aggregation
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13
Match each term to its correct definition.
-Skip pattern
-Skip pattern
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14
Match each term to its correct definition.
-Spurious finding
-Spurious finding
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