Research Design Flashcards
(115 cards)
What is a theory ?
A general principle or body of principles offered to explain a phenomenon.
Like Dalton’s atomic theory or Einsteins theory of relativity
Range of nursing theories
Grand theories
Broadest scope, most abstract
Apply to all nursing activities
Mid-range theories
Narrower in scope
Bridge between grand theories & practice
Practice theories
Most narrow scope & least abstract
Jean Watson’s Caring Science Theory
Really looks into caring and what it consists of and its role in nursing
- read on if you desire
Caring can be effectively demonstrated & practiced only interpersonally.
Caring consists of carative factors that result in the satisfaction of certain human needs.
Effective caring promotes health & individual or family growth.
Caring responses accept a person not only as he or she is now but as what he or she may become.
A caring environment is one that offers the development of potential while allowing the person to choose the best action for himself or herself at a given point in time.
Caring is more “ healthogenic” than is curing. A science of caring is complementary to the science of curing.
The practice of caring is central to nursing.
Conceptual Models
Represent a less formal attempt to explain phenomena than theories
Deal with abstractions, assembled in a coherent scheme
Just understand that implicitly or explicitly, studies should have a ____________ or ______________ framework.
theoretical; conceptual
What is the caveat with nursing theories ?
Nursing “Grand Theories” evolved from efforts to establish nursing as a profession, separate from medicine.
Difficult to empirically test the aspirational, abstract grand theories, so less relevance to evidence-based practice.
From a population a portion of the population is selected to represent the entire population …. what is this called ?
Sampling
Eligibility criteria include
inclusion and exclusion criteria, specific characteristics that defines the population
What is a strata ?
Subpopulations of a population - such as male and female
What is the target population
The entire population of interest
What is a representative population ?
A sample whose key characteristics closely approximate those of the target population—a sampling goal in quantitative research
Representative samples are more easily achieved with …..
Probability sampling
Homogeneous populations
Larger samples
What is sampling bias ?
The systematic over- or under-representation of segments of the population on key variables when the sample is not representative
What is a sampling error?
Differences between sample values and population values
E.g. population mean age = 65.6 yrs, sample mean age = 59.2 yrs
Difference between probability sampling and non probability sampling …..
One involves random selection of elements with each having an equal, independent chance of being selected
The other does not involve random selection of elements
Types of nonprobability sampling
Convenience sampling
Snowball (network) sampling
Quota sampling
Purposive sampling
Convenience sampling involves
really whatever is most accessible and conveniently available
Most widely used approach by quantitative researchers
Most vulnerable to sampling biases
Snowball Sampling
Referrals from other people already in a sample
Used to identify people with distinctive characteristics
Used by both quantitative and qualitative researchers; more common in qualitative
Quota Sampling
Convenience sampling within specified strata of the population
Enhances representativeness of sample
Infrequently used, despite being a fairly easy method of enhancing representativeness
Consecutive sampling involves ….
COME, LETS GO, EVERYONE INSIDE, everyone one who is here!!!!
Involves taking all of the people from an accessible population who meet the eligibility criteria over a specific time interval, or for a specified sample size
A strong nonprobability approach for “rolling enrollment” type accessible populations
Risk of bias low unless there are seasonal or temporal fluctuations
Purposive (Judgemental ) Sampling
Sample members are hand-picked by researcher to achieve certain goals
Used more often by qualitative than quantitative researchers
Can be used in quantitative studies to select experts or to achieve other goals
Types of Probability Sampling
Simple random sampling
Stratified random sampling
Cluster (multistage) sampling
Systematic sampling
Simple Random sampling
Uses a sampling frame – a list of all population elements
Involves random selection of elements from the sampling frame
Example- a list of all households in Montgomery County - then 500 households are randomly selected
Stratified Sampling
Population is first divided into strata, then random selection is done from the stratified sampling frames
Enhances representativeness
Can sample proportionately or disproportionately from the strata