Psych232 Flashcards

(35 cards)

1
Q

What are the two distinctive features of experimental designs?

A
  1. Manipulation of the independent variable on two or more levels.
  2. Control for extraneous variables
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2
Q

What are the three types of scientific claims?

A
  1. Frequency (how much)
  2. Association (identify the relationship between two variables but you don’t know its direction
  3. Causal
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3
Q

Name 6 words used for causation?

A
  1. Cause
  2. Improve
  3. Impair
  4. Decrease
  5. Makes
  6. Impacts
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4
Q

Name four words used for an association?

A
  1. Association
  2. Linked
  3. Correlated
  4. Are
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5
Q

Three types of between subjects experimental tests?

A
  1. P.T.O (Post Test Only)
  2. Pre-test/ Post-test
  3. Matched pairs
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6
Q

what are “subject” variables?

A
Pre-existing individual characteristics:
1. Age 
2. Gender
4. Ethnicity
5. Personality
6. Genetics
This that influence cause but are NOT manipulated by the experimenter.
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7
Q

Continuous Independent Variable

A

There is an underlying mechanism of the IV which links all conditions together
eg. drug dosage across conditions

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8
Q

Categorical Independent Variable

A

Where there is one control condition and a IV manipulated condition. I.e. there either is or isn’t a manipulation

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9
Q

Between-Subjects design

A

Between-Subject designs use categorical Independent variables because one participant is exposed to only one condition.

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10
Q

Within-Subjects design

A

Within-Subjects design uses Continuous Independent variable manipulation because it measures an individuals performance across all conditions.

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11
Q

Dependent Variables method options

A
  1. Questionnaires
  2. Response Time
  3. Choice behaviour
  4. Actions & Movements
  5. Psychological Responses
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12
Q

Construct Validity

A

How well do our experimental variables replicate the psychology mechanism I want to observe from real life?

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13
Q

Extraneous Variables

A

Are all the possible variable which can affect the dependent variable.

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14
Q

Which model would you use to test whether or not mindfulness training reduces anxiety

A

Post-Test Only Design (P.T.O)

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15
Q

how to identify a construct from a variable

A

constructs are experiences of psychological mechanism i.e. Mindfulness that can be generalised to the whole population
Variables are the things that I manipulate and measure our construct

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16
Q

what are the two types of extraneous variables?

A

Pre-existing i.e. gender, age, traits
or
Situational i.e. anxiety during experiment etc.

17
Q

Confound

A

confounds are when extraneous variable differ systematically between our experimental conditions i.e more systematic or pre-existing variables in one condition than the other

18
Q

How do we control for confounds

A

Random Assignment

19
Q

How do we control for Pre-existing confounds

A

Random Assignment which MUST have a large enough sample size and be truly random.

As both groups, sample size increase with the random assignment of participants the closer the sample mean gets to the true mean

20
Q

Preexisting confound example

A

women vs men conditions etc. now we can no longer tell if differences in the dependent variables are due to our IV or Gender

21
Q

Situational confound example

A

environmental conditions i.e. same environment for both conditions, experimenter gender or behaviour which are not identical between conditions.

22
Q

controlling for confounds are used to…

A

increase external and internal validity.

23
Q

methods of control for pre-existing extraneous variability

A

We want there to be variability within each condition but controls are used to create equal variance between conditions

24
Q

Controlling for variability between subjects

A

you can do this by including or excluding participants based off specific extraneous variables they share so we can get closer to the mean using a smaller sample size.

25
homogenous and heterogeneous
homogeneous mixed sample is one with proportional extraneous variability. Heterogeneous samples have in-proportionate variation between individuals between samples
26
Accomplishing random assignment through accounting for selection effects
1. Self-selection where individuals are allowed to choose which condition they would participate in. 2. Non-random assignment participants placed into conditions by interchanging which group they get put in i.e. one in (a) second in (b) 3. Failures of non-random assignment Probability odds may cause groups to have an uneven proportion of extraneous variables
27
3 Control tricks
1. random assignment (pre-existing extraneous variability) 2. Manipulation of IV across conditions and matched with a control condition (reducing situationally extraneous variability) 3. Waitlist control to match for motivation variability; where individuals sign up on a waitlist to be apart of the study and then they are randomly assigned between the two conditions
28
3 Advantages of Pre-test/ Post-test Design
1. Experimenters are able to check whether all experimental conditions have equal variance and thus will provide a sample mean closer to the real mean. 2. Experimenters can track participant dropouts across the experiment to identify what variables are causing the morbidity effect 3. we can compare individual performance pre-test and post-test to track development
29
2 disadvantages of pre-test/ post-test experimental design
1. Pre-test may influence post-test results through exposure, practice and carryover effects 2. Costs more time and money than a post-test experimental design does for both participants and experimenters.
30
Advantages of a post-test only design
1. Efficient, fast and economical | 2. Participants have a lower probability of guessing your research question
31
Disadvantages of a post-test only design
1. We can not measure changes WITHIN both group conditions 2. Prone to the morbidity effect 3. Failures of random assignment to control for the extraneous variable by chance
32
Matched Pairs Design
Matched group design (also known as matched subjects design) is used in experimental research in order for different experimental conditions to be observed while being able to control for individual difference by matching similar subjects or groups with each other.
33
matched pairs designed
when two groups are scientifically equal to each other and we want to test which treatment method works best. BY comparing different post-test results with pre-test results
34
Matched paired design
Is the best method for a small sample size due to costs or rarity uses stratified random assignment
35
Advantages and Disadvantages of Matched Pair Design (2 & 3)
+ Experimental design with the most control for extraneous variables by using the matching technique + A smaller sample size is needed to achieve equal variation of both groups - Prone to testing effects - Takes a lot of Time and Money - Sometimes it is incredibly difficult to find a match on multiple extraneous variables