cognitive review Flashcards

(84 cards)

1
Q

Counted the number of times each event occurs.

A

FREQUENCY DISTRIBUTION

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2
Q

Spread or variation of the data/score

A

MEASURES OF VARIABILITY

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3
Q

Identify the meaning of a phenomenon, experience for an individual participant

Data gathered directly from informants through interview or observation

A

QUALITATIVE STUDY DESIGN

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4
Q

Stability within an instrument

How well the items measure same Variable and yield similar results?

Cronbach’s alpha > 0.7

A

INTERNAL CONSISTENCY

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5
Q

Scale with equal intervals between the numbers

No true 0 point

A

Interval

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6
Q

Properly calibrated equipment & instruments

A

MINIMIZING MEASUREMENT ERROR

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7
Q

Coding categories: “Cookbook”

Break down data to sort/label in categories

A

CODING & DATA REDUCTION

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8
Q

Not given all the individuals in the population equal chances of being selected.

Risk for selection bias

Limitation of generalizations about findings

A

NON-PROBABILITY SAMPLING

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9
Q

Going forward (usually a long period of time)

A

Prospective/Longitudinal Design

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10
Q

Measured scores are incorrect in the same direction
Affects average score: Bias
Sources of error

A

SYSTEMATIC ERROR

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11
Q

Access one person suitable for study - Find other people
“Referral sampling”
Very good methods for sensitive subjects/issues

Example:
Found one mother of children with cystic fibrosis who lives in her neighborhood & asked her if she knows any other mothers of children with cystic fibrosis.

A

SNOWBALL SAMPLING

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12
Q

Not predict the direction of difference and/or relationship between Variables

Example:
There is a difference in the mammography rates between women who receive and do not receive the education.

A

Non-Directional Hypothesis: 2-tailed

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13
Q

Undesirable variables that influence the study outcome

Not the variables that are actually of interest.

A

EXTRANEOUS (CONFOUNDING) VARIABLES

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14
Q

Scores vary in a random way
Inconsistent data collection procedures by collector(s)
Not affect the average score
Affects variability around average score

A

RANDOM ERROR

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15
Q

Who: research assistant, trained nurse…etc.
Where: home, clinic, conference room…etc.
When: before and/or after intervention…etc.
How: interview, survey, observation…etc.
How often: once, every 3 weeks…etc.

A

COMPONENTS

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16
Q

Scale with equal intervals between the numbers

Absolute 0 point

A

Ratio

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17
Q

Two variables are related across a group of participants

A

CORRELATION STATISTICS

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18
Q

Categorize a variable

A

Nominal (Categorical)

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19
Q

How to measure the Variable/Concept?

Make decision for type of data to be collected

A

OPERATIONAL DEFINITION

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20
Q

Stability between Raters
Correlating Rater score
Percentage or Cohen’s kappa > 0.85

A

INTER-RATER RELIABILITY

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21
Q

Already collected data set by someone else for some other purposes

Patient record, Public/Commercial databases of health data, Registries, Government sources of health data .

A

SECONDARY DATA

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22
Q

General meaning of Variable/Concept

Perceived Susceptibility: One’s opinion of chances of getting a condition

A

CONCEPTUAL DEFINITION

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23
Q

Commonly used to investigate and identify the cause of certain condition/disease with small sample size

Example:
Rare type of cancer
Hepatitis outbreaks

A

CASE CONTROL DESIGN

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24
Q

PICO Approach

A

Population
Intervention
Comparison/Control
Outcome

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25
Measurement of a group over time Independent variable manipulated at some point in time Enables the researcher to: - Determine effectiveness of intervention - Quantify timing of effects Example: Test effectiveness of planned behavior intervention to increase adherence of community mental health professionals to a national suicide prevention guideline
TIME SERIES DESIGN
26
Made up of people who are easy to reach. Example: Patients from the hypertension clinics of 2 local hospitals to explore medication adherence among HTN patients.
CONVENIENCE SAMPLING
27
Proportion/Rate in one sample against another | Relationship between two nominal/categorical variables
Chi-Square
28
Provide a high level of control measure something Enable the researchers to: - Examine the effectiveness of interventions - Measure changes over time - Explore the relationship between variables and outcomes
QUANTITATIVE STUDY DESIGNS
29
Stability of measurement over time Same measurement tool with the same participants at different time Correlation coefficient >/- 0.5
TEST-RETEST RELIABILITY
30
Lack of time Negative attitude toward research & EBP Organizational constraints Lack of skill to search literature and interpret evidence Perception that lack of authority to change practice Cost Individual judgment/patient input devalued
BARRIERS TO EBP
31
Best used for many variation in variable being measured Strata/Layers Divide population into smaller groups Take random sample from each stratum/group
STRATIFIED RANDOM SAMPLING
32
Face validity | Panel of experts review the items of instrumen
CONTENT VALIDITY
33
Assess if results from the sample can occur in a large population
INFERENTIAL STATISTICS
34
Categorize variable with rankings
Ordinal (Ranking)
35
Words, not numbers Feelings, experiences, perceptions Transcribed verbatim & field notes Need to be sorted & categorized contents
CONTENT ANALYSIS
36
Recurrent meaning that appear during data analysis
THEME IDENTIFICATION: FINDINGS
37
Longer Left tail | Concentrated majority of distribution on the Right side
Negative Skew
38
Characteristics that disqualify prospective subjects from inclusion in the study.
EXCLUSION CRITERIA
39
Predicts there is NO difference/relationship between variables/groups Researcher wishes to disapprove this hypothesis
NULL HYPOTHESIS (Ho)
40
type of QUALITATIVE STUDY that Study of people and cultures Explore cultural phenomena Example: Experiences of Hmong refugee’s ER visit in U.S. Perception of a “good death” among Japanese Americans Sense of obligation of filial piety among elderly KA women
ETHNOGRAPHY
41
No standard/guideline for the analytic process | Results will be reported in words.
QUALITATIVE DATA ANALYSIS
42
Interviewer chooses the questions/techniques depending on the participant’s answer & the situation Participant speaks freely without any set question order
Unstructured Interview
43
Data collected directly from the participants for own study Most reliable data Methodology section
PRIMARY DATA
44
Accuracy or correctness of the study results Independent variable(s) made the differences/changes in Dependent variable(s).
INTERNAL VALIDITY
45
Example: | Every 3rd nurse is randomly selected from the mailing list of the ANA
SYSTEMATIC SAMPLING
46
Present exactly the same questions in the same order in each interview.
Structured Interview
47
Identify a problem Develop research question Literature review/Investigate the current practice Synthesize evidence/findings Develop recommendations Pilot recommended interventions and changes Assess the effectiveness of the interventions & changes
STEPS OF EBP
48
Not concerned with measurement strategies | Analyze each participant’s own words
QUALITATIVE DATA
49
Congruent the characteristics of target population &sample Affects generalizability of results back to the target population from which they were chosen
REPRESENTATIVENESS
50
``` Self determination Privacy and dignity Anonymity and confidentiality Fair treatment Protection from discomfort and harm ```
RIGHTS OF STUDY PARTICIPANTS
51
Predicts only one direction of change/relationship between Variables Example: There will be increased mammography rates among women who receive the education compared to those who do not receive the education.
Directional Hypothesis: 1-tail
52
- Do not require IRB review - Must meet the criteria for Exempt Review - Studies must pose NO risk (i.e. using public data)
Exempt Review
53
Rejection of null hypothesis
ALTERNATIVE/RESEARCH HYPOTHESIS (H1)
54
Combines Quantitative and Qualitative measurements Involves the measurable state of a phenomenon and the individual’s subjective response to it Use quantitative data analysis to compliment as the qualitative data analysis
MIXED METHODS STUDY
55
No true relationship between the variables No true difference between two groups Statistically testing
NULL HYPOTHESIS (Ho) TESTING
56
Describe a phenomenon with objective precision Identified Variables Statistical analysis for results Measured Variables in a reliable and valid way
QUANTITATIVE STUDY
57
Non-invasive procedure | Minimal risk
Expedited Review
58
Assess/Estimate the prevalence of a particular disease in a certain population Commonly used for public health planning Examine one variable in different groups that are similar in all other characteristics.
CROSS-SECTIONAL DESIGN
59
To gain more information about phenomena occurring in its natural setting No manipulation of Variables Used to observe, document, and describe. Does not enable the determination of cause and effect
DESCRIPTIVE STUDY
60
``` Natural approach to research. Unstructured data Interview, Observation, Focus group Summary of subjective conclusion Understanding the meaning of an event/phenomenon from the individual’s perspective ```
QUALITATIVE STUDY
61
Positive statement to predict the relationship/difference of the variables: Outcomes of study
RESEARCH/ALTERNATIVE HYPOTHESIS
62
type of QUALITATIVE STUDY that Capturing the “lived experience” of a phenomenon Example: What is the lived experience for the treatment of a malignant brain tumor in adult males? What is the lived experience of caregiver for a patient with Alzheimer’s disease (AD)?
PHENOMENOLOGY
63
Determine the strength and direction of any relationship between two variables
CORRELATION DESIGN
64
No concealment | Aware of being observed
Direct Observation
65
Given all individuals equal chances of being selected for the sample. Must utilizes random selection process/procedure
PROBABILITY (RANDOM) SAMPLING
66
Very similar to Experimental design NO random assignment to intervention/control groups
QUASI-EXPERIMENTAL DESIGN
67
SAMPLE SIZE Power/Power Analysis How large of a sample is needed to detect adetect a difference in the outcome variable?
QUANTITATIVE STUDY
68
Bell-shaped curve: Symmetry | Basic assumption for most statistical tests
Normal Distribution
69
Longer Right tail | Concentrated majority of distribution on the Left side
Skewed Distribution Positive Skew
70
Possibility of generalizability of the study results to: Other population Other environmental conditions
EXTERNAL VALIDITY
71
Most commonly used for Qualitative study
INTERVIEWS
72
Do not meet criteria for Exempt/Expedited review
Full Review
73
Strongest design: provide strongest evidence for practice Allows for conclusion of cause and effect Manipulated Independent variable (Intervention) Measurement of Dependent variable (Outcome) Random Assignment of participants to groups
EXPERIMENTAL DESIGN
74
Judgmental sampling: Researcher knows enough about the population and its elements to handpick the sample Selected participants deliberately based on intentions of the researcher and purpose of the study Chosen for specific purposes
PURPOSIVE SAMPLING
75
Researcher uses some knowledge of the population to build some representatives into the sampling plan. Selected participants based on pre-specified quotas regarding demographics, attitudes, behaviors, some other criteria Arbitrarily choose participants from each group.
QUOTA SAMPLING
76
Outcome has already occurred | “look back” for events that occurred in the past.
TIME ELEMENT DESIGN | Retrospective Design
77
Quantify participant’s level of responses Asked to express degree of agreement/disagreement Each degree has numerical value Calculate a total numerical value from all participants
Likert Scale
78
Example: Total of 16 nurse managers are randomly selected from 8 hospitals in 2 randomly selected clusters in the State of Illinois.
CLUSTER SAMPLING
79
Congruent characteristics of the population and sample Required characteristics that the prospective subjects must have to be included in the study
ENROLLMENT: SELECTION CRITERIA INCLUSION CRITERIA
80
Most commonly used data collection tools Complete/Distribute by face-to-face, mail-out, online open or close ended questions
SURVEY/QUESTIONNAIRE
81
Describe the pattern of scores among participants
MEASURES OF CENTRAL TENDENCY
82
SAMPLE SIZE Redundancy and Saturation When is the point at which no new information is being generated
QUALITATIVE STUDY
83
Completed with each participant Detailed Information: extent and sufficient Comprehension
INFORMED CONSENT
84
Unaware of being observed | Debriefing
Indirect Observation: Concealment