Deck 19: Processes of Quantitative Data Analysis
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Deck 19: Processes of Quantitative Data Analysis
1
Researchers who collect quantitative data typically progress through a series of steps in the analysis and interpretation of their data. Careful researchers lay out a data analysis plan in advance to guide that progress. What phase involves various clerical and administrative tasks?
A) Preanalysis
B) Preliminary assessments and actions
C) Principal analysis
D) Interpretation of quantitative results
A) Preanalysis
B) Preliminary assessments and actions
C) Principal analysis
D) Interpretation of quantitative results
Preanalysis
2
Careful researchers lay out a data analysis plan in advance to guide that progress. What phase involves collection of data on numerous variables?
A) Preanalysis
B) Preliminary assessments and actions
C) Principal analysis
D) Interpretation of quantitative results
A) Preanalysis
B) Preliminary assessments and actions
C) Principal analysis
D) Interpretation of quantitative results
Principal analysis
3
How must quantitative data be coded?
A) Missing values
B) Letter codes
C) Numerical values
D) Wild codes
A) Missing values
B) Letter codes
C) Numerical values
D) Wild codes
Numerical values
4
What is a wild code?
A) Numerical value
B) Missing value
C) Values that lie outside the normal range of values
D) Codes that are not legitimate
A) Numerical value
B) Missing value
C) Values that lie outside the normal range of values
D) Codes that are not legitimate
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5
What is the error prone process that requires verification?
A) Outliers
B) Data cleaning
C) Data entry
D) Consistency checks
A) Outliers
B) Data cleaning
C) Data entry
D) Consistency checks
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6
Decisions on handling missing values must be based on the amount of missing data and how missing data are patterned. When is addressing missing data especially important?
A) Sensitivity analyses
B) Intention-to-treat analyses
C) Missing completely at random values pattern
D) Missing at random values pattern
A) Sensitivity analyses
B) Intention-to-treat analyses
C) Missing completely at random values pattern
D) Missing at random values pattern
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7
Steps must almost always be taken to evaluate missing data problems. What occurs with a missing completely at random values pattern?
A) Missing values are just a random sample of all cases in the population.
B) Missing values are just a random subsample of all cases in the sample.
C) Missingness is related to other variable sbut not related to the value of the variable that has the missing values.
D) A pattern in which the value of the variable is missing is related to its missingness.
A) Missing values are just a random sample of all cases in the population.
B) Missing values are just a random subsample of all cases in the sample.
C) Missingness is related to other variable sbut not related to the value of the variable that has the missing values.
D) A pattern in which the value of the variable is missing is related to its missingness.
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8
There are two missing values strategies that involve deletion or imputation. What is the analysis of those cases for which there are no missing data?
A) Listwise deletion
B) Pairwise deletion
C) Available case analysis
D) Data transformations
A) Listwise deletion
B) Pairwise deletion
C) Available case analysis
D) Data transformations
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9
There are two missing values strategies that involve deletion or imputation. What is the most widely used approach to delete cases selectively on a variable-by-variable basis?
A) Listwise deletion
B) Pairwise deletion
C) Complete case analysis
D) Data transformations
A) Listwise deletion
B) Pairwise deletion
C) Complete case analysis
D) Data transformations
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10
There are two missing values strategies that involve deletion or imputation. What is occurring with a regression-based estimation of missing values?
A) Mean substitution
B) Expectation maximization imputation
C) Complete case analysis
D) Available case analysis
A) Mean substitution
B) Expectation maximization imputation
C) Complete case analysis
D) Available case analysis
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11
What is an activity that is completed during the preanalysis phase?
A) Entering, verifying, and cleaning data
B) Assessing and handling missing values problems
C) Assessing data quality
D) Assessing bias
A) Entering, verifying, and cleaning data
B) Assessing and handling missing values problems
C) Assessing data quality
D) Assessing bias
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12
A data cleaning procedure involves consistency checks. What does this focus on?
A) Internal data consistency
B) External data consistency
C) Checking for outliers
D) Checking for wild codes
A) Internal data consistency
B) External data consistency
C) Checking for outliers
D) Checking for wild codes
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13
What is the best method for addressing missing value problems?
A) Expectation maximization
B) Multiple imputations
C) Mean substitution
D) Subgroup mean substitution
A) Expectation maximization
B) Multiple imputations
C) Mean substitution
D) Subgroup mean substitution
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14
What is the simplest imputation procedure?
A) Expectation maximization
B) Multiple imputations
C) Mean substitution
D) Subgroup mean substitution
A) Expectation maximization
B) Multiple imputations
C) Mean substitution
D) Subgroup mean substitution
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15
Assessing data quality is an early analytic task. A value is considered an extreme outlier when if it is how many times greater than the interquartile range above the third quartile?
A) 1
B) 2
C) 3
D) 4
A) 1
B) 2
C) 3
D) 4
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16
Researchers often undertake preliminary analyses to assess biases. What type of bias should nurse researchers check for when nonrandomized comparison groups are used and compared to the groups' baseline characteristics?
A) Nonresponsive
B) Volunteer
C) Selection
D) Attrition
A) Nonresponsive
B) Volunteer
C) Selection
D) Attrition
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17
Researchers often undertake preliminary analyses to assess biases. What type of bias should nurse researchers check for when there are multiple points of data collection?
A) Nonresponse
B) Volunteer
C) Selection
D) Attrition
A) Nonresponse
B) Volunteer
C) Selection
D) Attrition
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18
What is occurring with the Kolmorogov- Smirnov test?
A) Tests that the distribution deviates significantly from a normal distribution.
B) Tests that the median deviates significantly from a normal distribution.
C) Tests that the distribution does not deviate significantly from a normal distribution.
D) Tests that the median does not deviate significantly from a normal distribution.
A) Tests that the distribution deviates significantly from a normal distribution.
B) Tests that the median deviates significantly from a normal distribution.
C) Tests that the distribution does not deviate significantly from a normal distribution.
D) Tests that the median does not deviate significantly from a normal distribution.
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19
What effect can occur when a nurse researcher accumulates a sample over an extended period of time to achieve adequate sample sizes?
A) Overt effect
B) Cohort effect
C) Ordering effect
D) Carryover effect
A) Overt effect
B) Cohort effect
C) Ordering effect
D) Carryover effect
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20
What type of analysis occurs when test research hypotheses using different assumptions or different strategies?
A) Substantive
B) Descriptive
C) Supplementary
D) Sensitivity
A) Substantive
B) Descriptive
C) Supplementary
D) Sensitivity
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