STATS 10-Research designs Flashcards

1
Q

Quasi-independent experimental variables

A
  • Characteristics that can’t be randomly assigned
  • Often properties already existing in subjects
    • e.g. gender, handedness, age group, hair colour, symptoms
    • Best you can do is split into groups
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2
Q

True experimental variables

A
  • You can control these in a true experiement
  • You can randomly assign people to groups
    • Drug treatmnet versus counselling
    • Meal A,B,C,D
    • Drug A or B
    • Using calculator or using a slide rule
      *
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3
Q

Independent and dependent variables… think

A
  • Which do we try and control in an experiment
  • Which do we want to measure
  • See the podcast: we’ll play spot the variables
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4
Q

Experimental methods 1

A
  • A method of collecting data which allows the researcher to make causal inferences about the relationship between 2 or more variables
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5
Q

Experimental methods 2

A
  • The researcher manipulates one or more independent variables to see the effect on the dependent variables
  • e.g. Effect of alcohol on memory
    • IV: Amount of alcohol consumed
    • DV: Score on a memory test
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6
Q

Types of experimental design 1

A
  • True experiemental design: Also known as randomised design researchers can randomly assign participants to different experiemental condition
    • E.g. Assign “Normal” participants to groups that consume different amounts of alcohol
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7
Q

Types of experimental design 2

A
  • Quasi-experimental design
  • Similar to experimental design but the researcher is unable to randomly assign participants to groups
    • e.g. Compare pre-existing alcohol consumption groups: Heavy vs Light drinkers or alcoholics vs non-alcoholics
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8
Q

Confounding variables

A
  • If the groups to be compared differ in ways other than which the researcher has manipulated, the experiment has confounding variables
  • e.g. Weight changes how fast alcohol affects people
    • Can lead to incorrect conclusions
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9
Q

Variables so far

A
  • Independent variables (Condition)
  • Dependent variables (Measured)
  • Confounding variables- what gets in the way
  • How can we control confounding variable
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10
Q

Randomisation- why randomise

A
  • Ensures that each participant is equally likely to be assigned to a given condition
  • WHY RANDOMISE
    • Prevents experimenters (un)intentionally biasing their results
    • Distributes the occurrence of potential moderating/confounding variables equally among the experimental conditions
    • Enables the use of powerful statistical tests the can help determine the causal relationship between variables
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11
Q

Two ways to compare groups/Conditions

A
  • We use the term “condition” for the independent variable
  • Independent groups (between-subjects) design
  • Repeated measures (within-subjects) Design
  • Mixed design
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12
Q

Independent group design- between subjects

A
  • Examples: effects of alcohol consumption (IV) on short term memory performance (DV)
  • Randomly assign participants to one of the 2 groups
  • Administer alcohol accordingly
  • Measure their memory performance and compare
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13
Q

Independent group design- potential problems

A
  • How do we ensure that any difference in memory function result from alcohol intake rather than some other factor
    • E.g. Age, gender, nutritional factors, confounding variables
  • How do we account for the possibility that some of our participants have more experience with memory tests
  • We CAN’T, but we can minimise these effects by randomly assigning participants to experiemental conditions (or levels of the IV)
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14
Q

Matched groups design

A
  • An answers to make sure that subjects in both groups are matched as closely as possible on potential confounding variables
    • Age, gender, Experience with alcohol
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15
Q

Repeated Measures Design- within subjects

A
  • Example: effects on alcohol consumption (IV) on short-term memory performance (DV)
  • Participants now take part in both conditions (levels) of IV
    • Test before alcohol
    • Administer alcohol accordingly
    • Test after alcohol
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16
Q

Repeated measure Design: Potential problems

A
  • Requires fewer participants than independent groups design
  • Each participant served as their own control
    • Removes some confounding factors
  • BUT
    • Order effects
    • Once participants have been exposed to one level of the IV there no way to return them to their original state
      • Practice effects, fatigue effects
17
Q

Counterbalancing: An answer

A
  • Problem- in repeated measures design, the act of measuring the DV introduces order effects
  • Solution- counterbalancing (randomly assigning the order)
18
Q

Example: effects of alcohol consumption (IV) on short-term memory performance (DV)

A
  • Randomly assign participants into the group a or Group B
  • Alternate the sequence of administration of experimental conditions (ABBA)
  • Order effects eliminated but should be common to both condition
    *
19
Q

ID the experimental design- IV; IV levels; DV; Design; True/Quasi

A
  • An investigator is interested in whether males or females are better at the computer game Tetris
  • He measures the scores of 30 males and 30 females playing tTetris
  • What is the IV
  • What is the DV
  • What is the subjects design of the study
  • Is it a true or quasi-experimental design
20
Q

ID the experimental design

A
  • An investigator is intrestedin whether easting fish improves exam scores
  • She instructs 1/3 of her students to eat fish
  • 1/3 to eat red meat
  • 1/3 to eat no meat the night before the exam
  • What is the IV
  • What is the DV
  • What is the subject design of the study
  • Is it a true or quasi-experimental design
21
Q

Causation

A
  • Internal validity- How correct is it to claim that treatment X causes outcome O
  • One-group case study (X-O)
  • One-group pre-post design (O-X-O)
  • No comparison groups or non-treatment control group. How can you tell?
22
Q

Pre-experimental design

A
  • One-group post-test (X-O) design: one group of participants is exposed to one level of an IV and then observed (or measured)
    • e.g. measure the effect of alcohol on memory for one group at only one occasion
  • One group pre-post-test design (O-X-O) one group of participants is given a pre-test then a treatment and then a post-test
    • Measure the effects of alcohol on memory by comparing pre-test and post-test performance
23
Q

Spot the experimental design

A
  • An investigator is interested in whether an audience’s rating of a bands performance is greater when the performance is being recorded for live broadcast compared to when it is not
  • She is also interested in whether the type of music has an effect
  • The investigator asks a group of 50 audience members at an arctic monkeys concert to rate their enjoyment of a televised song and a non-televised song
  • At a seperate concert she asks a group of 50 girls aloud audience members to rate their enjoyment of a televised song and non-televised song
24
Q

ID the experiment in the previous slide

A
  • What is the experimental design
  • What is the first IV
    • How many levels
    • What is the subject design
  • What is the second IV
    • How many levels
    • What is the subject design
  • What is the DV
  • How would you design a better experiment
25
ID the experimental design
* An investigator is intrestedin whether students reaction times on driving task are slower when they are hung over than when they have not consumed alcohol the previous night * She measures the reaction times of 50 students the morning after drinking and the same students reaction times the morning after an alcohol free video night
26
From the previous slide
* What is the IV * Levels * What is the DV * What is the subject design of the study * What is the confound * How would you change the research design to remove the confound