Exam 1 Flashcards
(176 cards)
concepts
abstractions of human characteristics (like pain, fatigue, obesity)
In a qualitative study = phenomena
construct
abstraction inferred from situations or behaviors - deliverable invented or constructed
I.e. self care
Construct = more complex abstraction than a concept
variables
concepts in quantitative studies
I.e. weight, fatigue, stress
independent variable
presumed cause
dependent variable
presumed effect = O in PICO
Variation in the dependent variable is likely too depend on variation in the independent variable
Is the variable researchers want to understand, explain or predict
data
pieces of info obtained in a study
Quantitative data: data in numeric form
Qualitative data: narrative descriptions
relationship
bond or connection b/w phenomena
I.e b/w smoking and lung cancer
Ex: cause and effect relationship
grounded theory
- research with roots in sociology that seeks to describe and understand the key social psychological processes that occur in social settings
- seek to understand actions by focusing on the main concern or problem that the individual’s behavior is designed to address
Focus on developing social experience
Phenomenology
concerned with lived experiences of humans
Approach to thinking about what life experiences of people are like and what they mean
psychology/philosophy
ethnography
provides a framework for studying partners, lifeways and experiences of a defined cultural group
anthropology
characteristics of good research questions - 3
- identifies the variables
- specifies populations to be studied
- implies possibility of empirical testing
conceptual definition
presents the abstract or theoretical meaning of concepts under study
I.e. pain - discomfort, uncomfortable feeling
*can be an end product in qual studies
operational defintion
specifies what the researcher must do to measure the concept and collect needed info
I.e. for measuring anxiety, tools, scales
phases of quantitative study (5)
- conceptual phase (formulating the problem)
- design and planning phase (sampling)
- empirical phase (collecting data)
- analytic phase (analyzing and interpreting)
- dissemination phase (communicating the findings)
hypothesis
prediction about relationship b/w variables
null hypothesis
statistical hypotheses: state that there is no relationship between IV and DV
I.e. patients age is unrelated to their risk of falling
characteristics of good hypotheses (3)
- states variable and population
- identifies the predicted relationship: converts question into a declarative statement, predicts relationship b/w variables
- is testable
Directional hypothesis
one that specifies not only the existence but the expected direction of the relationship b/w variables
I.e. older patients are more likely to fall than younger patients
nondirectional hypothesis
does not state the direction of the relationship
I.e. there is a relationship b/w age of patient and risk of falling
statistical significance
supports inferences that a hypothesis probably correct or not
means findings are probably reliable and replicable with a new sample
level of significance (p < 0.05)
index of how probable it is that the findings are reliable
.05 level = only 5 times out of 100 would the result be spurious = 95 times out of 100, similar results would be obtained in a new sample
PICOT
population intervention (IV) comparison or control outcome (DV) timeframe
clinical research
involves human subject participants with the aim of generating generalizable knowledge to improve human health and well-being
nursing research
to answer questions and undertake systematic inquiry to generate evidence on problems of interest to nurses