URI NUR 253 EXAM 2 WITH COMPLETE
SOLUTIONS
Mary Naylor - ANSWER--transition from hospital to home
-maintain health and function of elders with heart failure.
Transitional Care Model - ANSWER--improves outcomes for elders after discharge
-improved outcomes
Results section - ANSWER-what the researchers found
qualitative study - ANSWER-DESCRIBES a phenomenon
quantitative study - ANSWER-INFERENCE - making conclusions based on the data or
evidence
Variable - ANSWER-varies from person to person
Dependent Variable - ANSWER--outcome variable
-dependent on something happening to it
Independent Variable - ANSWER--Intervention
-Influences the dependent variable
**memory clue - I for independent, intervention, and influence
Univariate - ANSWER-one variable at a time
Bivariate - ANSWER-two variables together to see a relationship
Multivariate - ANSWER-multiple variables together to see a relationship
how do we make sense of data? - ANSWER-organize the data by frequent responses
and patterns
Eileen Lake - ANSWER-discovered NICU under-staffing related to premature infant
infections
Problems with results section - ANSWER-incomplete information and can be confusing
Why do we use inferential statistics? - ANSWER-to explain or predict the variable of
research and support predictions for future research
P value - ANSWER-percentage of the results that occur by chance
, Confidence intervals - ANSWER-usually set to around 95%
Variance - ANSWER--how much variety there is in a set of numbers
-average of the sum of squared deviation of the means
Standard Deviation - ANSWER--square root of variance
-shows variety in numbers
Frequency distribution - ANSWER-normal curve or skewed
What happens when the mean, median, and mode are not the same? - ANSWER-the
curve is skewed
Results of a qualitative study - ANSWER-describe and explain but DO NOT predict
Content Analysis - ANSWER-the process of understanding, interpreting, and
conceptualizing data in a qualitative study (analysis of words)
Categorization Scheme - ANSWER-putting words into categories that make sense
Coding - ANSWER-breaking down and labeling large amounts of data
Data Reduction - ANSWER-use of coding to categorize the data, reduces words
Themes - ANSWER--idea behind the words
-abstract idea of concept that is recurrent throughout QUALITATIVE data
Data Saturation - ANSWER-point in data collection where you do not hear new
information
What does a confidence interval of 95% signify? - ANSWER-95% of results are within a
particular range
Parametric - ANSWER--QUANTITATIVE, normal distribution, interval/ratio level -
continuous
-ex: temp, BP, Age, Weight
Nonparametric - ANSWER--QUANTITATIVE, abnormal distribution, categorical level
(nominal or ordinal)
-EX: gender, race, color
Bivariate Tests - ANSWER-Tests with two variables
Looking at differences
SOLUTIONS
Mary Naylor - ANSWER--transition from hospital to home
-maintain health and function of elders with heart failure.
Transitional Care Model - ANSWER--improves outcomes for elders after discharge
-improved outcomes
Results section - ANSWER-what the researchers found
qualitative study - ANSWER-DESCRIBES a phenomenon
quantitative study - ANSWER-INFERENCE - making conclusions based on the data or
evidence
Variable - ANSWER-varies from person to person
Dependent Variable - ANSWER--outcome variable
-dependent on something happening to it
Independent Variable - ANSWER--Intervention
-Influences the dependent variable
**memory clue - I for independent, intervention, and influence
Univariate - ANSWER-one variable at a time
Bivariate - ANSWER-two variables together to see a relationship
Multivariate - ANSWER-multiple variables together to see a relationship
how do we make sense of data? - ANSWER-organize the data by frequent responses
and patterns
Eileen Lake - ANSWER-discovered NICU under-staffing related to premature infant
infections
Problems with results section - ANSWER-incomplete information and can be confusing
Why do we use inferential statistics? - ANSWER-to explain or predict the variable of
research and support predictions for future research
P value - ANSWER-percentage of the results that occur by chance
, Confidence intervals - ANSWER-usually set to around 95%
Variance - ANSWER--how much variety there is in a set of numbers
-average of the sum of squared deviation of the means
Standard Deviation - ANSWER--square root of variance
-shows variety in numbers
Frequency distribution - ANSWER-normal curve or skewed
What happens when the mean, median, and mode are not the same? - ANSWER-the
curve is skewed
Results of a qualitative study - ANSWER-describe and explain but DO NOT predict
Content Analysis - ANSWER-the process of understanding, interpreting, and
conceptualizing data in a qualitative study (analysis of words)
Categorization Scheme - ANSWER-putting words into categories that make sense
Coding - ANSWER-breaking down and labeling large amounts of data
Data Reduction - ANSWER-use of coding to categorize the data, reduces words
Themes - ANSWER--idea behind the words
-abstract idea of concept that is recurrent throughout QUALITATIVE data
Data Saturation - ANSWER-point in data collection where you do not hear new
information
What does a confidence interval of 95% signify? - ANSWER-95% of results are within a
particular range
Parametric - ANSWER--QUANTITATIVE, normal distribution, interval/ratio level -
continuous
-ex: temp, BP, Age, Weight
Nonparametric - ANSWER--QUANTITATIVE, abnormal distribution, categorical level
(nominal or ordinal)
-EX: gender, race, color
Bivariate Tests - ANSWER-Tests with two variables
Looking at differences
