Chapter 10: Experimental Design Flashcards

1
Q

What does reserach allow us to see?

A
  • How the world changes when we change just one thing (all other things being equal)
  • Can truly test theory
  • great internal validity
  • cause-and-effect conclusions
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2
Q

Mueller and Oppenheimer, 2014

A
  • Q: Is typing or taking notes by hand better for college students?
  • Methods: Class prepped in advance (1/2 w paper, 1/2 w laptop). They watched a Ted talk and took notes, had a 30 min distractor, and then were tested on factual and conceptual information
  • Results: Groups performed similarly on factual questions, but handwritten notes performed much better on conceptual questions
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3
Q

“Yong 2017”

A
  • Babies that watch adult models persist at difficult tasks are more likely to work thorugh difficult things
  • Utilized 100 babies 13-18 months
  • Parents sat next to babies- but did not help
  • 1/2 trials babies watched someone take the same object out of a box, strucggle, and persevere
  • 1/2 trials babies watched someone take the same object of a box w/o difficults
  • Babies were then given a toy w a button that looks like it should do something but didn’t work
  • Babies who observed the adult work tried to push the button more
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4
Q

What is a quasi-experimental variable?

A
  • ex. history of SUD
  • things the researcher cannot manipulate
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5
Q

What is a manipulated variable?

A
  • independent variable
  • at least 2 levels
  • ex. note taking (laptop vs handwritten), ex effort (effort vs no effort)
  • can have more than 1 in an experiment
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6
Q

What is the measured variable?

A
  • dependent variable/outcome measure
  • the variable you operationalize
  • can be more than 1 in an experiment
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7
Q

manipulation of variables- goal

A
  • systematically alter independent variable to predict/see changes in outcome variable (DV)
  • Correctly predicted change: theory validated
  • Incorrectly predicted change: theory falsified/discarded or theory modified w new info
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8
Q

Experiments support causal claims

A
  • covariance: results will show that changes to IV=changes to DV
  • temporal precedence: causal variable (IV) comes first and outcome measure comes second
  • Internal validity: the study rules out confounding variables and alternative explanations
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9
Q

Control Variable

A
  • Important to compare manipulated behavior to “normal” (control)
  • One condition that is not manipulated or one condition to compare to
  • Independent variable answer: compared to what?
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10
Q

Internal validity: treat all groups equally

A
  • Except for the IV
  • So do random assignment, all groups should look like all other groups (age, sex, IQ). Only difference should be condition
  • Matched groups: participants are matched on every measurement except IV
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11
Q

Design Confounds

A
  • Design confound: study’s manipulation. Influences more than one psychological construct. Each contruct impacts the DV.
  • an extraneous variable within a research design that unintentionally influences the relationship between the independent and dependent variables, potentially leading to inaccurate conclusions about the study’s findings
  • Ex. Flickering lights in attention study. Attention impaired b/c of manipulation
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12
Q

What is an operational confound?

A
  • due to poorly defined construct
  • IV still causes changes in DV
  • Just not sure what the DV actually is
  • Interpretation of results is at risk
  • Don’t know why experimental group changed
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13
Q

What are nuisance “Third” Variables?

A
  • systematically vary based on the IV
  • strongly related to the DV
  • example: time of day
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14
Q

Why do we do random assignment?

A
  • For “person” confounds
  • Individual differences co-vary with the IV
  • Individual differences are related to the DV
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15
Q

What are selection effects?

A
  • people in one level of the IV are different from people in the others
  • ex. Lovass, 1987
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16
Q

Lovass, 1987

A
  • One-on-one sessions therapy for autism for 38 familes
  • Experimental (new) therapy vs traditional
  • Families that live close got experimental therapy- “convenience” assignment
  • No random assignment
  • There may have been clear differences between the groups
  • Intensive treatment performed way better but also in nicer area which could have influenced it

example of selection effects

17
Q

Strength of a true experiment: eliminate confounds

A
  • to decrease procedural error
  • double blind everyone
  • standardize procedure
  • treat all participants alike

help ensure internal validity

18
Q

Independent groups design

A
  • Between groups/subjects
  • different participants are placed in each group
  • Ex. Sugar consumption on exam performance (1 group tic tac, 1 group kale, 2 groups candy/cookie)

several types

19
Q

Posttest Only Design/ Equivalent groups

A
  • A “between groups” design simply refers to comparing different groups of participants, while an “equivalent groups” design specifically means that those groups are considered to be as similar as possible, usually achieved through random assignment, so that any observed differences can be attributed to the experimental manipulation rather than pre-existing variations between the groups.
  • essentially, a “between groups” design can be considered “equivalent groups” if random assignment is used to create the groups.
20
Q

Pre-test-Posttest Design

A
  • participants randomly assigned to one of (at least) 2 groups
  • are tested on the DV twice
  • AKA mixed design(combines elements of between and within design bc comparing groups but based on individual’s first score)
  • Ex. test verbal GRE score- group 1 gets mindfulness class, group 2 gets nutrition class. Then test again.
21
Q

Within-groups design

A
  • repeated measures
  • participants are measured more than once on the same DV
  • good when you have a small group
  • ex. One group tastes chocolate w confederate, then rates the chocolate. Then tastes chocolate alone, and rates the chocolate. Compare chocolate ranking
22
Q

Advantages of Within-Groups

A
  • participants in the group are equal
  • people act as their own control/no cohort effects “you vs you”
  • make more precise estimates of differences between IV levels
  • small number of participants necessary
23
Q

What are order effects?

A
  • being exposed to one condition infuleces how you respond to the later condition
24
Q

What are practice effects?

A
  • aka fatigue effects
  • long sequences might lead participants to get better at the task or get tired of the task
25
Q

What is counterbalancing?

A
  • present different manipulations in different order
  • compare the different conditions to see if scores are the same despite being in different order, if they are the same you can assume no order effects
26
Q

What is construct validity?

A
  • how well the variables were measured and manipulated
  • Ex. Note taking. DV-each question coded by 2 graders. Questions had good face validity. There was high interrater reliability (used more frequently when the data is subjective)