WORKBOOK 4TH EDITION SOLUTION
MANUAL | GROVE 2025 || COMPLETE
SOLVED ANSWERS <LATEST UPDATE>
Description: Step-by-step solution manual for Susan K. Grove’s Statistics for Nursing
Research: A Workbook for Evidence-Based Practice, 4th Edition. Updated 2025 edition with
solved exercises, detailed explanations, and application to evidence-based practice.
Course: Nursing Research Methods / Statistics
Keywords:
nursing research statistics solutions
Grove workbook answers 4th edition
statistics solution manual 2025
evidence-based practice workbook
continuous variables or traits: - ANSWER ✅
observations that can, at least theoretically,
take any decimal value. These are also known as metric,
morphometric, or quantitative traits.
categorical variables or traits: - ANSWER ✅
observations that are categorized in two or
more separate, non-
overlapping groups; These are also known
as discrete, discontinuous, non-metric, morphoscopic, or qualitative traits.
What are the four measurement scales? - ANSWER ✅1. Nominal
2. Ordinal
3. Interval
4. Ratio
✅
Measurement scale where the levels have no inherent ranking between them - ANSWER
Nominal; ex male or female, presence or absence of metric suture
Measurement scale where the levels have an inherent ranking but the differences between
✅
levels are not proportional or are not measured. used to describe categorical variables -
ANSWER ordinal scale, ex the order in which racers cross the finish line (first, second,
third, etc., ignoring
their exact times)
the levels appear categorical first glance but are in reality at
least partially continuous because the forces that create them in nature are also continuous.
The
levels clearly change gradually ('grade') from one to the next but for convenience are
measured
, using an ordinal scale that employs discrete categories because it is difficult to precisely
✅
measure the
actual differences between each level. - ANSWER semi-continuous ordinal scale, ex.
pubic symphysis phases (phase 1 early, 1 late, 2 early, 2 late, etc.)
continuous measurements that have rank AND in which differences between the
✅
states of the variable ARE regular, meaning that there is proportionality of the measurement
scale. - ANSWER ratio scale ex. age at death (in days or years)
a special type of scale that looks like a ratio scale but which has an arbitrary zero
set-point that can throw off numerical comparisons. Both ranking and proportionality of scale
✅
are
present. - ANSWER interval scale ex. age at death as measured from the point of birth
(rather than at the point of
conception); since not everyone is born at the same time after conception, defining
subadult age as years since birth introduces error if age is used as a proxy for
developmental maturity.
Continuous biological traits are typically scored on what types of scales - ANSWER ✅ratio
or semi-continuous ordinal scales
✅
Categorical biological traits are typically scored on what types of scales - ANSWER
nominal or ordinal scales
What does covary mean? - ANSWER ✅When one variable is manipulated, the other will
change as well
✅
the variable you are interested in measuring, studying, or predicting, ie the "response
variable" - ANSWER Dependent variable
✅
the variables that may affect the expression or intensity of your dependent variable ie the
"control" or "predictor" - ANSWER Independent variable
the process of generating mathematical descriptions of a sample - ANSWER ✅descriptive
statistics
the process of comparing the characteristics of one sample to those of a second sample or
✅
to a population, to elucidate their similarities and differences. also known as "hypothesis
testing". - ANSWER comparative statistics
the process of predicting the missing characteristics of a specimen by
referencing a sample it was drawn from, or predicting the characteristics of a population by
referencing a sample drawn from it. also known as 'inferential statistics' --
but note that certain aspects of comparative statistics are also inferential, because they
make
✅
assumptions about the parent population from which a sample is drawn. - ANSWER
predictive statistics