class 16 Flashcards

1
Q

what is inference?

A

using information about the sample to draw conclusions about the target population
-may be using limited information
-uses logical reasoning

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2
Q

what is credibility

A

“are the results right?”
results should be analyzes and interpreted with consideration to:
-internal & statistical conclusion validity
-external validity
-bias
-corroboration

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3
Q

interpreting quantitative results in a study

A

-found in the Discussion section
-results compared to other studies
-results related to framework
-lead to conclusions, implications, recommendations
“making sense of the results”

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4
Q

statistically significant results while interpreting quantitative results

A

could be a true reflection of reality OR a type 1 error

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5
Q

statistically non-significant results while interpreting quantitative results

A

could be a true reflection of reality OR a type 2 error
-p>alpha level

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6
Q

significant hypothesized (predicted) results

A

-statistically significant (p= or <alpha)
-support logical links between framework, questions, variables, and instruments
-potentially important contribution to the body of knowledge about the research topic (or type 1 error)

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7
Q

significant un-hypothesized results

A

-statistically significant (p<= alpha) but different than predicted
-may indicate flaw in logic of the researcher and/or the theory being tested
-if valid, may be important to the body of knowledge

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8
Q

what are mixed results

A

-some results statistically significant and some not (e.g. hypothesis is supported, one is not)
-may indicate methodological problems
-may indicate need to modify existing theory (important to body of knowledge)

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9
Q

clinical importance/significance

A

clinical importance means the findings/results have actual significance for real-world scenarios
-associated with importance to the nursing body of knowledge i.e. practical implications for patients and/or healthcare decisions
-may be reported statistically at individual or group level i.e. effect size, confidence interval, number needed to treat

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10
Q

statistical importance/significance

A

statistical importance means there is a relationship between variables in the data that did not likely occur by chance (doesn’t mean its clinically feasible/important i.e. small effect size)

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11
Q

limitations of a study

A

often designated section of a research article
actual or potential weaknesses of the study (could be related to design, sample, framework)
should be acknowledged by researchers

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12
Q

conclusions of a study

A

synthesis of results using: logical reasoning, creative formation of a meaningful whole through data analysis and findings from previous studies
-informed by corroboration from other studies of same or similar phenomena
-should eb warranted by the data/results
-should be warranted by the design

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13
Q

implications of a study

A

meanings of conclusions for nursing theory, research, education, and practice
based upon, but more specific than conclusions
-inform recommendations - specific suggestions for implementing study findings

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14
Q

implications/recommendations: suggesting further research

A

-researcher gains knowledge and experience from conducting the study that can be used to design a better study next time
i.e.replication, different design, larger sample, new hypothesis, strategies to further test framework/theory

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15
Q

generalizing findings

A

-extends implications of findings from the sample studied to a large population/situation
-generalizability (external validity) should be acknowledged

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16
Q

empirical generalization

A

-based on accumulated evidence from many studies
-important for verification of theoretical statements or for development of a new theory
-researchers should discuss their findings in relation to past studies