380 Final – Blueprint Review
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Transcript of 380 Final – Blueprint Review
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380 FinalBlueprint Review50 questions
Slide 1
Approaches to knowledge development and their respective research methods;
i.e., deductive inductive process
o
Inductive knowledge: is developed by pulling observations and factsgenerated through research together to generate theory That theory is then used to suggest further observations that might
be expected, which are then used to refine the theory
o Deductive knowledge: is developed by proposing a theory regarding a
phenomenon of interest It starts with the whole and breaks down the parts of the theory,
seeking observations and facts to support the abstract relationship
proposed in that theory Observations that support or refute a theorys predictions of
relationships are used to revise or refine the theory, which then
undergoes further testingo Quantitative Research uses DEDUCTIVE REASONING
o Qualitative Research uses INDUCTIVE REASONING
Nursing theorists and their construct: Orem, Roy, Watson
o Orem:proposed the concept of self-deficit
o Roy: adaptation model Defined nursing as the science and practices that expands adaptive
abilities and enhances person and environment transformation
o Watson: introduced carative factors or Caring
Nursing theory their relevance to nursing practice: Guides
o Four Main Domains:
Person Environment Health
Nursing
Principles of Ethics: Declaration of Helsinki, Nuremburg Code; and the BelmontCommission Report of 1979IRB
Different qualitative methods: phenomenology, grounded theory, ethnography
o Designs that function to facilitate understanding answer descriptivedesignquestions
Designs that seek to link ideas and concepts answer questions of
connection or relationship
o
Phenomenology: used to discover and develop understanding ofexperiences as perceived by those living the experience
The method seeks to avoid external control by going as directly as
possible to those who have lived or are living the experience being
studied
Grounded theory: is to study interactions to understand and
recognize links between ideas and concepts, or, in other words, todevelop theory
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Triangulation: is the process of using more than one approach or
source to include different views or to look at the phenomenon
from different angles Audit trail:is an ongoing documentation regarding the
researchers decisions about the data analysis and collection
processes Probability and Non Probability Samplingtheir differences
o Nonprobability sampling: not everyone in the population of interest has
an equal chance of being included in the study
These types of strategies are used because they are less costly or
because it is not possible to identify everyone in the population
o Probability sampling: ensure that every member of the population has an
equal opportunity to be in the study
o Major reasons for randomization/extraneous variable: -- Convenient Sampling
Includes members of the population who can be readily
found and recruited and are convenient for the researcherto recruit Concept of Power Analysis and sample size
o Qualitative: sample size is smaller than in
quantitative research because the data collection
methods in qualitative research yield much data
from each participant The sampling strategy and the complexity
of the phenomenon of interest also dictate
sample size in qualitative research
Summary: Sampling in qualitative
research is usually driven by the databeing collected and may change as the
study progresseso Quantitative: the larger the sample size in
quantitative study, the more likely the sample willbe representative of the population of interest, and
the more likely the study will apply to our clinical
situations
Sample sizes in quantitative research are
determined by the goal of having a
reasonable likelihood that the inferential
statistics applied to the data will yieldstatistical significance
The larger the sample size, the more
likely we are to get results that are
statistically significantthat is, that did
not happen by chance alone Quantitative researchers often use a
process called power analysis to
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Cronbach alpha (Alphas .70 highly desirable) evaluates Internal Consistency(how closely the answers to the different items within the scale are related to each
other)
Test Retest reliability evaluates Stability (the measure will stay consistent overtime)
Inter-Rater Reliability 90% and above is highly desirable: evaluates Equivalence Type of research error
Slide 5
Validity: The degree to which an instrument measures what it is supposed tomeasure
Threats to Internal Validity: History: Maturation: Selection Bias: mortality
o History:is some factor outside those examined in a study affecting the
outcome or dependent variable The term historyis used because some past event has influenced
the dependent variable
o
Maturation: refers to a change in the dependent variable simply becauseof the passage of time
Thus, the natural aging process, a type of maturation with time,
might lead to decreased daily functioning, regardless of whether
the subjects were providing care to a family member Those studies with a design that did not include a control group
would be vulnerable to maturation
o Mortality: refers to the loss of subjects from a study because of aconsistent factor related to the dependent variable
Occasionally, the loss of subjects is from death
At other times, mortality refers to subjects withdrawing from a
studyo Selection bias: refers to subjects having unique characteristics that in
some manner relate to the dependent variable, raising a question whether
the findings from the study resulted from the independent variable or thecharacteristics of the sample
A research designs overall internal validity would be best defined as effectsdetected in the study are a true reflection of reality rather than an extraneous
variable
Selection of independent and dependent variables, types of Hp
o Selection of independent and dependent variables come from the research
purpose
Research purposeis a clear statement of factors that are going tobe studied to shed knowledge on the research problem
These factors may also be referred to as the variables to
be studied
In general, we expect the research purpose to identify
the major variableso Types of hypotheses:
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Directional hypothesis:predicts that two variables will be related
and as well predicts the direction of that relationship
Ex:It will predict that as scores for one variable increases,the score for a second variable will increase
Nondirectional hypothesis:predicts that two variables will be
related but does not predict the direction of that relationship Bonus:research questions can also be directional and
nondirectional
o Nondirectional question: Is there a relationship
between sun exposure and number of freckles?
o Directional question: Do the number of frecklesincrease as the amount of sun exposure increases?
Null hypothesis: states that there will be no relationship or
differences among variables Research hypothesis:predicts relationships or differences in
variables