STATS 10-Research designs Flashcards
Quasi-independent experimental variables
- 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
True experimental variables
- 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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Independent and dependent variables… think
- Which do we try and control in an experiment
- Which do we want to measure
- See the podcast: we’ll play spot the variables
Experimental methods 1
- A method of collecting data which allows the researcher to make causal inferences about the relationship between 2 or more variables
Experimental methods 2
- 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
Types of experimental design 1
- 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
Types of experimental design 2
- 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
Confounding variables
- 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
Variables so far
- Independent variables (Condition)
- Dependent variables (Measured)
- Confounding variables- what gets in the way
- How can we control confounding variable
Randomisation- why randomise
- 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
Two ways to compare groups/Conditions
- We use the term “condition” for the independent variable
- Independent groups (between-subjects) design
- Repeated measures (within-subjects) Design
- Mixed design
Independent group design- between subjects
- 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
Independent group design- potential problems
- 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)
Matched groups design
- 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
Repeated Measures Design- within subjects
- 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
Repeated measure Design: Potential problems
- 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
Counterbalancing: An answer
- Problem- in repeated measures design, the act of measuring the DV introduces order effects
- Solution- counterbalancing (randomly assigning the order)
Example: effects of alcohol consumption (IV) on short-term memory performance (DV)
- 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
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ID the experimental design- IV; IV levels; DV; Design; True/Quasi
- 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
ID the experimental design
- 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
Causation
- 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?
Pre-experimental design
- 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
Spot the experimental design
- 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
ID the experiment in the previous slide
- 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