Chapter 3: Evidence Based Flashcards

(41 cards)

1
Q

Science

A

National Academy of Sci:

The use of evidence to construct testable explanation & prediction of natural phenomena.

A method of arriving at objective truths

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2
Q

Hypothesis

A

A proposed explanation for a problem or set of observations

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3
Q

Scientific Method

A

The process of formulating explanations about the natural world and testing those explanations w/ experiments and data.

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4
Q

Science vs. Research

A

Science is a philosophy & process to investigate the natural world, arriving at objective truths

Research is the method by which people carry out scientific principles. Can be biased & have errors.

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5
Q

Evidence-based Practice: 3 components

A

1.) The weight of the evidence from scientific research

2.) Consider Field observations results

(but know it is limited b/c it is conducted in uncontrolled settings & have bias/errors)

3.) Individual client needs and preferences must be considered in spite of prevailing science.

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6
Q

Scientific Method: 6 steps

A

1.) Identify problem or set of observations

2.) Formulate a hypothesis

3.) Design a study to test the hypothesis

4.) Collect, Synthesize & Interpret Data

5.) Continue testing data that supports the hypothesis.

6.) Discard or change the hypothesis of the data does not support it.

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7
Q

Predictions

A

Predictions are developed from hypotheses.

Predictions should be TRUE if the hypothesis is TRUE.

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8
Q

Theory

A

A hypothesis/ hypotheses for which a large body of high-quality evidence has been accumulated; ot has withstood rigorous scrutiny through repeated testing.

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9
Q

Hierarchy of Evidence: 5 levels

A

Starting with the least:

1.) Non-peer reviewed media, anecdote & tradition.

2.) Peer-reviewed editorials & Expert opinions

3.) Observational research

4.) Randomized controlled trials (RCTs)

5.) Systematic reviews and Meta-Analyses of RCTs

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10
Q

Anecdote

A

A person’s account or experience of an event.

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11
Q

Uncontrolled Variable

A

A variable in an experiment that a scientist makes no effort to manipulate or account for.

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12
Q

Cause & Effect and their variables

A

Cause: Independent Variable

Effect: Dependent Variable

Other Factors: Confounding Variable

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13
Q

Correlation

A

A relationship between two or more variables

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14
Q

Randomized Controlled Trials (RCTs)

A

In this test, people are divided into two or more groups in a random fashion.

The scientists keep everything the same between the two groups except for ONE variable (the independent variable).

Can establish cause & effect

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15
Q

External Validity

A

The ability to generalize the results of a study.

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16
Q

Systematic Review

A

Scientists systematically gather all research on a topic & evaluate it based on predefined criteria & rules.

Together w/ meta-analysis, it is highest level of evid.

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17
Q

Meta-analysis

A

A statistical analysis of RCTs to gain an idea of where the weight of evidence lies.

Together w/ Systematic Reviews, Meta-Analysis is the highest level of evidence.

They give a consensus on the best research.

18
Q

Testability in the Scientific Approach is: Falsifiable of Unfalsifiable

A

Falsifiable.

If a claim cannot be tested and potentially disproven, it is not considered scientific.

B/c hypotheses must be testable, they are subject to falsification.

This in in line w/ the sci. method, which narrows down what is true by proving what is not true.

19
Q

Empirical

A

Based on observation or experience.

20
Q

Test-Retest Reliability

A

The ability to get similar results when something is measured under the same conditions.

21
Q

Reliability

A

Is a measure consistent?

22
Q

Validity

A

Is the tool measuring what it’s supposed to?

23
Q

Selection Bias

A

A sample is not representative of the larger population.

24
Q

Case Studies

A

Observational Research

Descriptive Research

-Tracks a person or group over time

-Discuss events that occur

*Limited b/c not generalizable

25
Surveys
Observational Research Descriptive Research -Questionnaires/ interviews *Limited b/c self reported data is biased. Also probs w/ reliability & validity of questions.
26
Historical Research
Observational Research Descriptive Research -Looks at past events to make inferences about other times/future *Limited b/c past info may be incomplete or in accessible. Also researcher bias.
27
Cross-sectional Studies
Observational Research Exploratory/ Epidemiological Rsh. -Snapshot of variables in a group at a specific time. -Useful to assess prevalence of disease in a population. *Limited b/c one-time measurement that cannot show causation.
28
Case-control Studies
Observational Research Exploratory/ Epidemiological Rsh. -Determine if exposure to something is associated w/ outcome. **Uses data from the PAST**
29
Cohort Studies
Observational Research Exploratory/ Epidemiological Rsh. -The cohort (group) is followed over time to determine the association b/t an exposure & outcome. *Limited by selection bias. Also participant loss & recall bias in retrospective study.
30
Descriptive Research
A form of Observational Research. -Describes individuals or populations.
31
Exploratory/ Epidemiological Research
A form of observational research -Looks for relationships b/t variables in large populations.
32
Interventional Designs
A type of scientific research in which scientists directly intervene w/ subjects & look at the impact of intervention.
33
RCTs
A form of Interventional Designs True experimental design, RCTs are the gold standard of research.
34
Parallel Design
Interventional Designs A form of RCT -Track two or more *independent* groups in parallel with each other.
35
Factorial Design
Interventional Designs A form of RCT -Test the impact of *two or more* variables simultaneously instead of isolating a single variable.
36
Cross-over Design
Interventional Designs A form of RCT -Subjects are assigned to both the treatment AND control groups. -Each subject acts as their own control -Reduces impact of variability b/t subjects Ex-Vertical leap test question.
37
Quasi-experimental Designs
-Similar to RCTs but subjects are NOT RANDOMLY ASSIGNED TO GROUPS
38
Non-Randomized Control Group
Interventional Designs Quasi-experimental -Subjects not randomly assigned. -More potential for bias b/c control group may not be equivalent to treatment group.
39
Time-series Study
Interventional Designs Quasi-experimental -Longitudinal study. Can prove cause & effect. -Set of data points that have been collected in time order. Ex-climate change
40
Peet-reviewed journals: Individual Studies
The majority of articles
41
Peer-review journals: Meta-Analyses vs. Narrative Review
Meta-Analyses indicate the weight of evidence through vigorous study. Narrative review is more informal where author gives assessment & interpretation of weight of evidence.