Week 5 Flashcards

(83 cards)

1
Q

What is experimental research?

A

Designed to control for confounding variables
based on logic, changes are systematically introduced, “cause & effect”

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2
Q

Extraneous variables

A

any factor NOT related to the purpose of the study
may affect dependent variables

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3
Q

In experimental research, the control group may receive what?

A

standard treatment, no treatment/”wait and see”, placebo treatment

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4
Q

What is the gold standard of experimental research?

A

RCT

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5
Q

three essential components of true experimental designs

A
  1. independent variable “manipulated” by the experimenter
  2. Include a control or comparison group
  3. participants are randomly assigned to groups
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6
Q

What is random assignment?

A

** not the same as random sampling **
each participant has EQUAL chance of being assigned to any group
helps control for extraneous variables or prognostic indicators
should result in homogeneous groups at baseline (not IV)

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7
Q

Random Assignment Strategies

A

Simple random assignment
Block random assignment
Stratified random assignment
Cluster random assignment

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8
Q

What is simple random assignment

A

coin flip
every person has an equal chance to be in either group
can have UNEVEN groups

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9
Q

what is block random assignment

A

envelopes
divided equally into “blocks”
assures groups will be evenly distributed by group or treatment sequence

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10
Q

what is stratified random assignment

A

used when certain characteristics (attributes) may be confounding

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11
Q

what is cluster random assignment

A

ex: 3 different hospitals
clusters are formed, and each cluster is randomly assigned a treatment
-all members of a cluster get the same treatment

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12
Q

Concealed Allocation

A

the researchers do NOT know group assignment

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13
Q

types of Experimental Design Validity

A

statistical conclusion validity
internal validity
construct validity
external validity

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14
Q

statistical conclusion validity

A

“is there a relationship between the independent and dependent variables?”

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15
Q

Internal Validity

A

“is there evidence of a causal relationship between independent and dependent variables?”

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16
Q

Construct Validity

A

“to what constructs can results be generalized?”

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17
Q

external validity

A

can the results be generalized to other persons, settings, or times?

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18
Q

assumption of causality requires three components:

A
  1. Temporal precedence
  2. Covariation of cause and effect
  3. no plausible alternative explanation
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19
Q

temporal precedence definition

A

cause precedes effect

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20
Q

covariation of cause and effect definition

A

outcome ONLY occurs in the presence of the intervention

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21
Q

No plausible alternative explanation definition

A

consider confounding variables

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22
Q

Internal Validity Internal Threats

A

History, Maturation, Attrition, Testing, Instrumentation, Regression to the mean, Selection, and Social Interaction

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23
Q

Internal Threat: History

A

an unrelated event influences outcomes - did something else happen between measurements?
ex: caffeine

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24
Q

Internal Threat: Maturation

A

Passage of time affects DV

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25
Internal Threat: Attrition
"experimental mortality" -patients drop out diet to restrictive? diet not working?
26
Internal Threat: Testing
Collection data changes the response
27
Internal Threat: Instrumentation
a measuring instrument (or measurer) changes over times
28
Internal Threat: Regression to the mean
extreme scores become less extreme over time
29
Internal Threat: Selection
Problematic when participants self-select groups addressed with random assignment
30
Internal Threat: Social Interaction
- diffusion/imitation - compensatory equalization - compensatory rivalry - demoralization
31
Internal validity social threats
Diffusion/imitation, compensatory equalization, compensatory rivalry, demoralization
32
Social threats: Diffusion/imitation
participants in control group changed behavior to match experimental group
33
Social threats: Compensatory equalization
Researchers treat participants in control group differently to make up the difference -researcher feels bad for a group
34
Social threats: compensatory rivalry
participants in control group look at a LOT of puppy photos to increase happiness
35
Social threats: demoralization
participants in the control group "give up"
36
Ruling Out threats to internal validity
random assignment and blinding
37
types of blinding
single = patient doesn't know double = patient + PT OR patient + assessor triple = extremely rare
38
Threats to Construct validity
operational definitions, comprehensive measurements, time frame, multiple treatment interactions
39
Threats to external validity
- influence of selection - influence of settings - influence of history
40
influence of selection definition
age, gender, diagnosis
41
Influence of settings definition
RCT vs Pragmatic clinical trials
42
Influence of history
older studies still have value!
43
with Noncompliance participants may:
- refuse the assigned treatment after allocation - cross over to another group - be compliant with assigned treatments - withdraw from the study
44
Missing Data
- needs to be accounted for throughout trial - concerning if > 20% - a problem if related to treatment - drop-outs? switch-overs?
45
Per Protocol Analysis
analyze only those who completed study
46
Intention-to-Treat (ITT) Analysis
-analyze in the group that they were assigned to -imputation: estimating missing data values
47
Researchers can minimize bias using
randomization, concealed allocation, blinding, and ITT
48
Internal threats are
INSIDE the study (methodology)
49
External threats are
OUTSIDE the study (generalizing)
50
True Experimental design is
1. IV "manipulated" by researcher 2. at least two comparison groups 3. subjects randomly assigned
51
Quasi-experimental designs
- may lack randomization - may lack comparison group - may lack both
52
types of experimental designs
- between-subjects design - within-subjects - factorial
53
Between-subjects design
assigned to independent groups
54
Within-subjects design
participants act as their own controls
55
Factorial design
how we describe designs that have 2+ IV - two-way design, 3x3 factorial design
56
One-way Designs
only 1 IV AKA single-factor designs Pretest-posttest control group design - used to compare 2 or more groups formed by random assignment
57
Pretest-Posttest control group design
- both groups are measured before and after treatment - cause and effect - internal validity is strong
58
Posttest-only Control Group Design
- similar to pretest-posttest control group, but no pretest is administered to either group - used when pretest is impractical, contraindicated, or potentially reactive - internal validity is strong
59
what should we assume about the posttest-only control group design
assume groups are equivalent due to random assignment best with large group of subjects
60
Factorial designs for independent groups
Two-way factorial design Randomized block design
61
Two-way factorial design
- incorporates **two or more** independent variables - randomly assigned to various combinations of the levels of the variables
62
Randomized block design
- 1 IV is not randomized - attribute variable - blocked
63
Benefits of factorial designs for ind groups
gives you information beyond what a single-factor (one-way) design would
64
Challenges of factorial designs for ind groups
- Larger sample - results of analysis can be difficult to interpret
65
Naming Factorial Designs definition
- described according to the number of IVs - number of levels within each factor
66
Designs for Repeated Measures
same people in each level of the IV - within-subject design
67
One-way (aka single-factor) repeated measures design
- subjects are exposed to all levels of the IV - there is no control group
68
Effects of Repeated Measures
- practice effects - carryover effects - order effects
69
practice effects definition
the more you do something, the more efficient you become
70
carryover effects definition
the effects of the first rx still present when second rx is introduced
71
Order effects definition
use of Latin Square as a possible solution of order effects
72
Crossover designs
- participants are randomized to a treatment sequence - used to control for order effects - considerations for washout period
73
Two-way (multi-factor) repeated measures design
all IVs are "repeated" or "within-subject"
74
Experimental designs can be _____
between-subject, or within-subject, or mixed
75
a one-way pretest-posttest control group design is the _______
most basic structure of a RCT
76
A week before the end of the study, all employees are told that there will be layoffs. The participants are stressed on the date of the post-test, and performance may suffer. What type of internal threat?
History
77
What type of internal threat? Most participants are new to the job at the time of the pre-test. A month later, their productivity has improved as a result of time spent working in the position.
maturation
78
What type of internal threat? In the pre-test, productivity was measured for 15 minutes, while the post-test was over 30 minutes long.
Instrumentation
79
What type of internal threat? Participants showed higher productivity at the end of the study because the same test was administered. Due to familiarity, or awareness of the study’s purpose, many participants achieved high results.
Testing
80
What type of internal threat? Low-scorers were placed in Group A, while high-scorers were placed in Group B. Because there are already systematic differences between the groups at the baseline, any improvements in group scores may be due to reasons other than the treatment.
Selection bias
81
What type of internal threat? Because participants are placed into groups based on their initial scores, it’s hard to say whether the outcomes would be due to the treatment or statistical norms.
Regression to the mean
82
What type of internal threat? Groups B and C may resent Group A because of the access to a phone during class. As such, they could be demoralized and perform poorly.
Social interaction
83
What type of internal threat? 20% of participants provided unusable data. Almost all of them were from Group C. As a result, it’s hard to compare the two treatment groups to a control group.
Attrition bias