NURS 3300 Research Final Exam – Questions With
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Terms in this set (98)
Types of quantitative research descriptive, correlational, quasi-experimental,
experimental
ex. Likert scale, statistical analysis
Descriptive studies Accurate portrayal or account of characteristics of a
particular individual, situation, or group
-Performed when collective knowledge about a
phenomenon is incomplete: either no research has been
conducted, or there is limited research knowledge
-Purpose is to observe, describe, and document
aspects of a situation (not cause probing)
-Describes phenomena (ideas) in real-life situations
-Counts, measures, classifies the phenomena of interest
or its characteristics
,Correlational studies Systematic investigation of relationships between or
among two or more variables (an association)
Nature of relationship is NOT cause and effect; the
only way to prove this is through quasi-experimental or
experimental study
-You can only say that there is a relationship between
the two.
-Measures the numerical strength of relationships
between and among variables
-Discovers whether a change in a value of one is likely
to occur when another increases or decreases.
-Changes in X do not necessarily CAUSE changes in Y
(this can not be assumed without random controlled
study)
-Changes in X are said to be RELATED to changes in Y.
Correlation measurement (statistic) Can be measured for -1 to +1
-1 is a perfect negative correlation
+1 is a perfect positive correlation
0 indicates no relationship
Can be referred to as "r" in a published report
(moderative neg correlation r = -0.53)(strong correlation
r = 0.82)
, Quasi-experimental studies Used to identify causal relationships, to examine the
significance of causal relationships, to clarify why
certain events happened, or for a combination of these
objectives
-Interventional
-Examines cause-and-effect relationships among
independent and dependent variables.
-Tests the hypothesis of a cause-and-effect relationship
when an experimental design can not or should not be
used.
A quasi-experiment lacks... (one of a researcher enacted intervention, the presence of a
these) distinct control group, random assignment to the
group
Experimental studies Tests causal relationships with three criteria: (1)
researcher intervention, (2) separate, distinct control
group, (3) random assignment to the group
-Interventional
-Examines cause-and-effect relationships between
independent and dependent variables.
-Tests the null hypothesis by means of applying an
intervention to experimental subjects, but not to
control subjects; and then measuring the effect on a
dependent variable
Epidemiologic studies Foundation for disease control and prevention through
tracking the prevalence of the disease, characterizing
the natural history, and identifying determinants or
causes of the disease.
It defines risk factors for a disease and targets for
preventative medicine.
Types of qualitative research phenomenology, grounded theory, ethnography
ex. focus groups, observations, interviews
Correct Solutions
Add to calendar
Play your way to mastery with fun games
Match Blocks Charms NEW
Terms in this set (98)
Types of quantitative research descriptive, correlational, quasi-experimental,
experimental
ex. Likert scale, statistical analysis
Descriptive studies Accurate portrayal or account of characteristics of a
particular individual, situation, or group
-Performed when collective knowledge about a
phenomenon is incomplete: either no research has been
conducted, or there is limited research knowledge
-Purpose is to observe, describe, and document
aspects of a situation (not cause probing)
-Describes phenomena (ideas) in real-life situations
-Counts, measures, classifies the phenomena of interest
or its characteristics
,Correlational studies Systematic investigation of relationships between or
among two or more variables (an association)
Nature of relationship is NOT cause and effect; the
only way to prove this is through quasi-experimental or
experimental study
-You can only say that there is a relationship between
the two.
-Measures the numerical strength of relationships
between and among variables
-Discovers whether a change in a value of one is likely
to occur when another increases or decreases.
-Changes in X do not necessarily CAUSE changes in Y
(this can not be assumed without random controlled
study)
-Changes in X are said to be RELATED to changes in Y.
Correlation measurement (statistic) Can be measured for -1 to +1
-1 is a perfect negative correlation
+1 is a perfect positive correlation
0 indicates no relationship
Can be referred to as "r" in a published report
(moderative neg correlation r = -0.53)(strong correlation
r = 0.82)
, Quasi-experimental studies Used to identify causal relationships, to examine the
significance of causal relationships, to clarify why
certain events happened, or for a combination of these
objectives
-Interventional
-Examines cause-and-effect relationships among
independent and dependent variables.
-Tests the hypothesis of a cause-and-effect relationship
when an experimental design can not or should not be
used.
A quasi-experiment lacks... (one of a researcher enacted intervention, the presence of a
these) distinct control group, random assignment to the
group
Experimental studies Tests causal relationships with three criteria: (1)
researcher intervention, (2) separate, distinct control
group, (3) random assignment to the group
-Interventional
-Examines cause-and-effect relationships between
independent and dependent variables.
-Tests the null hypothesis by means of applying an
intervention to experimental subjects, but not to
control subjects; and then measuring the effect on a
dependent variable
Epidemiologic studies Foundation for disease control and prevention through
tracking the prevalence of the disease, characterizing
the natural history, and identifying determinants or
causes of the disease.
It defines risk factors for a disease and targets for
preventative medicine.
Types of qualitative research phenomenology, grounded theory, ethnography
ex. focus groups, observations, interviews