Research Review Flashcards

(58 cards)

1
Q

EBP process?

A
  1. Formulate a question based on a clinical problem
  2. Identify the relevant evidence
  3. Evaluate the evidence
  4. Implement useful findings
  5. Evaluate the outcomes
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2
Q

Writing and evidence-based question: 5 types of questions

A

• Efficacy of an intervention (P-I-C-O)
• Usefulness of an assessment
• Description of a condition
• Prediction of an outcome
• Lived experience of a client

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3
Q

Common Research Designs/Methods

A

Efficacy of an Intervention
Usefulness of an Assessment
Description of a Condition
Prediction of an Outcome
Lived Experience of a Client

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4
Q

Efficacy of an Intervention involves

A

•Randomized controlled trial
•Nonrandomized controlled trials
•Pretest/posttest without a control group
•Single subject design

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5
Q

Usefulness of an Assessment involves

A

• Psychometric methods
• Reliability studies
• Validity studies
• Sensitivity and specificity studies

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6
Q

Description of a Condition involves

A

• Incidence and prevalence studies
• Group comparisons (of existing groups)
• Surveys and interviews

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7
Q

Prediction of an Outcome involves methods such as

A

•Correlational and regression studies
•Cohort studies

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8
Q

Lived Experience of a Client methods can involve

A

•Qualitative studies
•Ethnography
•Phenomenology
•Narrative

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9
Q

Types of Research

A

•Experimental
•Nonexperimental
•Quantitative
•Qualitative
•Cross-sectional
•Longitudinal
•Basic
•Applied

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10
Q

Examines cause and effect relationships (sometimes referred to as efficacy, intervention, difference, or group comparison studies)
•RCT (True experiment Level II)
•Nonrandomized controlled trial (Quasiexperimental Level III)
•Pretest/posttest (Pre-experiment Level IV)

A

Experimental research

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11
Q

Cannot determine causal relationships

Can answer descriptive, relationship, and qualitative questions

Common approaches to collect and analyze data include surveys, interviews, observation of behavior, standardized measures, and existing data from medical records

Observational in nature

A

Non-experimental research

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12
Q

Descriptive

A

group comparison or incidence/prevalence design

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13
Q

Relationship question

A

correlational or predictive design

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14
Q

Uses statistics

Describes outcomes in terms of numbers

Deductive reasoning; begins with hypothesis and works down to determine if evidence supports the hypothesis

Centered on testing a hypothesis

A

Quantitative research

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15
Q

Hypothesis is either

A

Directional or non directional

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16
Q

researcher has an assumption or belief in a particular outcome

A

Directional

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17
Q

exploratory, no prior notion about the study results but assumes a difference or relationship exists

A

Non directional

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18
Q

Answers questions about meaning and experience

Uses inductive reasoning; moves from the specific to the general

Provides a more personal and in-depth perspective of the person or situation being studied

Data collected may include photographs, diagrams, etc.

Encompasses several different designs: ethnography, grounded theory, phenomenology, and participatory action research

A

Qualitative research

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19
Q

Tests theory and/or hypothesis; focus is on confirmation

A

Quantitative

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20
Q

Outside/objective pov

A

Quantitative

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21
Q

Deductive reasoning

A

Quantitative

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22
Q

Data collection is quantifiable, typically standardized measures w/many participants

A

Quantitative

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23
Q

Data analysis is descriptive and inferential statistics

A

Quantitative

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24
Q

Evaluation rigor of research involves Reliability and validity; Data accurate? Consistent?

25
Evaluating rigor of research is based on trustworthiness
Qualitative
26
Data analysis involves Identification of themes using text or pictures
Qualitative
27
Data collection is done through Interviews and observations of a few individuals in their natural environments
Qualitative
28
Insider and subjective pov
Qualitative
29
Builds theory and/or explores phenomenon; focus is on discovery
Qualitative
30
data are collected at a single point in time; uses nonexperimental methods; can be observational in nature; descriptive and correlational studies frequently use
Cross-sectional research
31
requires that data be collected over at least two time points and typically covers an extended time period (several years or decades); intended to examine the effects of time (ex. – development, aging, or recovery) on some phenomenon (ex. – cognition, independent living, or language); many longitudinal studies examine naturalistic changes making them observational
Longitudinal research
32
Used to investigate fundamental questions that are directed at better understanding individual concepts
Basic research
33
Has direct application to health care practices
Applied research
34
Both basic and applied together; findings form the laboratory are used to generate clinical research
Translational research
35
Researcher has to decide on whether to accept or reject the research hypothesis based on the p value obtained from the statistical analysis.
Hypothesis Testing
36
If p is less than or equal to 0.05, the hypothesis is
Accepted
37
If p value is greater that 0.05, the hypothesis is
Rejected
38
when the hypothesis is accepted, yet the hypothesis is FALSE False positive
Type 1 error
39
when the hypothesis is rejected, yet the hypothesis is TRUE; sometimes sample size is too small False negative
Type 2 error
40
Characteristics of people, activities, situations, or environments that are identified and/or measured in a study and have more than one value
Variables
41
these are manipulated or compared in a study; with more than one independent variable is included in a study, the study is described as a factorial design
IV
42
these are observed and are intended to measure the result of the manipulation (also know as the outcome or outcome variable)
DV
43
those variables that remain constant; the more control in place, the more confidence that the independent variable caused the change in the dependent variable
Control variables
44
variables that can influence the outcome of a study; they are tracked and then later examined to determine its influence
Extraneous variables
45
type of extraneous variable that not only affects the dependent variable, but is also related to the dependent variable
confounding variable
46
Describe the data in a study Provide an analysis of data that helps describe, show, or summarize it in a meaningful way that patterns might emerge from it Include frequencies, frequency distribution, measure of central tendency
Descriptive statistics
47
actual number or count along with a percentage
Frequencies
48
how often something occurs within a given interval on line graphs, histograms, etc.
Frequency distribution
49
Mean, meadian, mode
Measure of central tendency
50
M, x̄ (X Bar)
Mean of a sample
51
M (sd)
Mean and standard deviation of a sample
52
S, sd, σ
Standard deviation of a sample
53
s2
Sample variance/variance of a sample
54
N,n
Number of participants in a study or a number of participants in a group
55
data points are distributed in a symmetrical, bell-shaped curve; two halves are mirror images
Normal distribution
56
lack of symmetry in the spread of scores, such that the curve is longer than the others
Skewed distribution
57
Positively Skewed Distribution skews which way?
To the right
58
Negatively Skewed Distribution skews which way?
To the left