PMHNP Professional Role and Health policy: Leadership, quality, improvement and safety, practice inquiry, and health policy/ANCC, Chapter 4
Example of Inferential statistics
Analysis of variance (ANOVA)
Tests the differences among three or more groups
Process in which a third party reviews evidence from both sides
Arbitration
and makes a decision to settle the case
Occurs when a person believes his or her needs, interests, or
Conflict
values are incompatible with others
Directed by a neutral third party who facilitates a "win-win"
Conflict resolution
situation
> Defined as the acquisition of knowledge with an attitude of
deliberate inquiry
> making clinical decisions based on evidence-based practice
Critical thinking > Decreases the difficulty of choosing from conflicting or multiple
recommendations when diagnosing and treating clients
> Develops self-awareness through a meta-cognitive process to
gain new insights about self, and in relation to others
Used to describe the basic features of the data in the study;
numerical values that summarize, organize, and describe
observations, can be generated by either quantitative or
qualitative studies
Examples:
Descriptive statistics
> Mean: average of scores
> Standard deviation: Indication of the possible deviations from the
mean
> Variance: How the values are dispersed around the mean; the
larger the variance, the larger dispersion of scores
, PMHNP Professional Role and Health policy: Leadership, quality, improvement and safety, practice inquiry, and health policy/ANCC, Chapter 4
> Present at local, regional, and national conferences
Dissemination > Publish in peer-reviewed journals
> Publish in professional newsletters
The integration of best research evidence with clinical expertise
and client values and needs. PMHNPs need to know the
Evidence-based practice
effectiveness of evidence-based interventions and select the
intervention to meet the client need
The sample is representative of the population and the results can
External validity
be generalized.
Numerical values that enable one to reach conclusions that extend
Inferential statistics beyond the immediate data alone; generated by quantitative
research designs
The independent variable (the treatment) caused a change in the
Internal validity
dependent variable (the outcome): Think screening tools
Nurses should be leaders and engage with health professionals to
Leadership
transform and redesign health care
Voluntary and confidential process in which a third party facilitates
Mediation
discussion to reach an agreement
Discussion among two or more people with the goal of reaching
Negotiation
an agreement
Example of Inferential statistics
Pearson's correlation
Tests the relationship between two variables
Used to develop a clinical question
> P = patient, population of patients, problem
PICO method > I = Intervention
> C = Comparison (another treatment or therapy, placebo)
> 0 = Outcome
Example of Inferential statistics
Analysis of variance (ANOVA)
Tests the differences among three or more groups
Process in which a third party reviews evidence from both sides
Arbitration
and makes a decision to settle the case
Occurs when a person believes his or her needs, interests, or
Conflict
values are incompatible with others
Directed by a neutral third party who facilitates a "win-win"
Conflict resolution
situation
> Defined as the acquisition of knowledge with an attitude of
deliberate inquiry
> making clinical decisions based on evidence-based practice
Critical thinking > Decreases the difficulty of choosing from conflicting or multiple
recommendations when diagnosing and treating clients
> Develops self-awareness through a meta-cognitive process to
gain new insights about self, and in relation to others
Used to describe the basic features of the data in the study;
numerical values that summarize, organize, and describe
observations, can be generated by either quantitative or
qualitative studies
Examples:
Descriptive statistics
> Mean: average of scores
> Standard deviation: Indication of the possible deviations from the
mean
> Variance: How the values are dispersed around the mean; the
larger the variance, the larger dispersion of scores
, PMHNP Professional Role and Health policy: Leadership, quality, improvement and safety, practice inquiry, and health policy/ANCC, Chapter 4
> Present at local, regional, and national conferences
Dissemination > Publish in peer-reviewed journals
> Publish in professional newsletters
The integration of best research evidence with clinical expertise
and client values and needs. PMHNPs need to know the
Evidence-based practice
effectiveness of evidence-based interventions and select the
intervention to meet the client need
The sample is representative of the population and the results can
External validity
be generalized.
Numerical values that enable one to reach conclusions that extend
Inferential statistics beyond the immediate data alone; generated by quantitative
research designs
The independent variable (the treatment) caused a change in the
Internal validity
dependent variable (the outcome): Think screening tools
Nurses should be leaders and engage with health professionals to
Leadership
transform and redesign health care
Voluntary and confidential process in which a third party facilitates
Mediation
discussion to reach an agreement
Discussion among two or more people with the goal of reaching
Negotiation
an agreement
Example of Inferential statistics
Pearson's correlation
Tests the relationship between two variables
Used to develop a clinical question
> P = patient, population of patients, problem
PICO method > I = Intervention
> C = Comparison (another treatment or therapy, placebo)
> 0 = Outcome
