Experimental Design Flashcards

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0
Q

What does the scientific method allow us to do?

A
  • examine statements with specific methods that use systematic, objective observation
  • psychological investigation can be described as systematic observations of abtract(s) of the world which are then subjected to a series of tests
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1
Q

What is the problem of not using scientific research when investigating matters in psychology?

A
  • we tend to make judgements using our own intuition
  • use anecdotal evidence like “everyone knows that”, “my feelings are”, “the authorities say so” - not very powerful form of evidence
  • potential of bias?
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2
Q

What are the problems of observation and how can we overcome them using the scientific method?

A
  • many people do not attempt to control or eliminate factors that may influence events that are being observed
  • therefore as a result, conclusions that are gathered about behaviour are often incorrect
  • also there is also a worry that personal issues or beliefs may influence someone’s work and certain details could be left out
  • the scientific methods allows scientists to use this form of systematic observation to try and report their observations objectively - what happened, the mere facts without any personal interpretation
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3
Q

Describe the case of Clever Hans in 1904

A
  • Hans was a German horse who was thought to have amazing talents
  • for example they thought he could do complete maths sums
  • commission was held to examine Hans’ abilities, to see whether animals were clever enough to be taught how to carry out these advanced tasks
  • turns that this wasn’t the case - Hans was watching for subtle cues from the questioner
  • if Hans could not see the questioner or they did not know the correct answer then he did not get it right
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4
Q

What is the problem with research when it comes to concepts?

A
  • normally we rarely define the concepts of particular words that we use when referring to specific behaviours
  • for example anxiety
  • the main problem is that many concepts have different meanings for different people
  • to tackle this problem, scientists need to define their concepts precisely, involving operation definitions
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5
Q

How do we measure observed behaviours?

A
  • by assigning numerical values to them
  • this allows them to be summarised and have statistical analyses run on them
  • can either be physical (length, weight) or psychological (anxiety, IQ)
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6
Q

What is the ultimate goal for any measurements of observed behaviours?

A

for them to be VALID and RELIABLE

V = the measure is truly measuring what it claims to be measuring 
R = the measure is consistent - can you measure it over time?
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7
Q

What are circular explanations?

A
  • when no form of explanation is given
  • basically when the reason for behaviour is the behaviour itself
  • not a full explanation of what is going on
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8
Q

Why do need to adopt this scientific approach?

A
  • because of the human factor in science
  • normally we make decisions based on our beliefs and own knowledge
  • this can make our results biased
  • so scientists adopt a highly critical and sceptical view point
  • nothing can be taken for granted unless there is a scientific or some other sort of explanation; simply relying on a gut instinct with regards to a particular behaviour can result in an incorrect, invalid and unreliable conclusion
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9
Q

What is basic research?

A
  • mainly theory driven, less problem driven
  • uses basic research questions
  • gets a better understanding of how people think, behave and how the mind works
  • areas = perception, memory, thinking, language, social behaviour, development, individual differences, biological correlates of behaviour
  • all the areas are concerned with the fundamental question of how things work
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10
Q

What is applied research?

A
  • focus on practical problems
  • problem solving and less explanation
  • eg does a type of therapy work?
    does it eliminate symptoms rather than why or how does it work to eliminate the symptoms
  • areas:
    psychodiagnostics - assessing personality
    work psychology - work environment, software design
    organisational psychology - staff management
    abnormal psychology - diagnosis, therapy
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11
Q

Why do we normally just use basic research?

A
  • if we just focus on the practical problems, it’s likely that we may neglect important research areas
  • lets us accumulate knowledge and understand how things work
  • attempts to provide theories which can then be practically applied - answer questions first and then conduct the research afterwards
  • further down the line, there may be more applications compared to th initial discovery
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12
Q

How can we get ideas for research?

A
  • personal experience - Piaget developed his conservation tasks afteriwatching his own child, working in a particular area or place?
  • psychological literature - vast source of ideas where you get ideas of what could have been done better, alternatives or different tangents from a particular piece of research
  • inconsistencies in or problems with previous research
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13
Q

What is a hypothesis and how do you come about forming one?

A
  • they are tentative explanations of behaviour
  • usually contain a statement about the relationship between two (sometimes more) variables
  • need to specify the variables / concepts that you are interested in studying
  • have to give them operational definitions - how you manipulate or measure them
  • CANNOT be circular - have to be previously independent of each other
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14
Q

How are hypotheses generated - Langer and Rodin (1976)

A
  • personal experience, improving performance
  • used to work in a nursing home and found that patients wanted to be able to make their own decisions rather than getting told what to do all the time
  • hypothesis - well-being will be greater for nursing home residents who are responsible for personal decisions than for nursing home residents who are not responsible
  • well-being = rate happiness, alertness, actively and sociability
  • personal responsibility = residents either (1) made responsible for decisions OR (2) told that staff members were responsible
  • patients who were made responsible for their own personal decisions were found to be happier since they were more responsible
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15
Q

What are variables?

A
  • Behaviours that you are measuring
  • Can be manipulated as well as being measured
  • Need to have operational definitions that tell you how you are measuring the particular variable
  • 2 different types - independent and dependent
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16
Q

Define Independent Variable

A
  • the variable that is manipulated by the experimenter
  • the explaining / predictor variable
  • not always manipulated eg observation
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17
Q

Define Dependent Variable

A
  • the variable that is measured

- the explained / criterion variable

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18
Q

What is verfication?

A

Empirical confirmation of the hypothesis

weaker than proving a statement

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19
Q

What is falsification?

A

Rejection of a hypothesis on the basis of empirical evidence

weaker than disproving a statement

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20
Q

What is a sample?

A
  • a group of people that we are going to study

- taken as a small subset of a population which are assumed to be representative of the population

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21
Q

What is the population?

A
  • all existing members of a group (eg undergraduate students)
  • the aim is to generalise from a sample to a population
  • problem - is it justified to generalise from a sample to a vast number of people?
  • > coin flipping example
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22
Q

Describe the Milgram experiment

A
  • fake electric shock study
  • verbal prods and grey lab coat
  • 60% or more all delivered shocks up to 360v (highest setting)
  • implications - highly criticised, bad name to the disciple
  • ethical issues
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23
Q

What are the purpose of ethical guidelines?

A
  • been developed to help prevent any harm (physical or psychological) to participants
  • mandatory to submit a proposal of your experiment to a board to explain what you want to do, the potential risks and benefits and how you will be examining it
  • nowadays, Milgram’s experiment would have never been allowed to happen
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24
Q

Define competence

A
  • the need to recognise boundaries of competence, limits of expertise etc
  • can only do research on humans / animals as long as you are qualified to do so
  • for example, if a surgery needs to take place on an animal then you need a vet
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25
Q

Define integrity

A
  • the need to be honest in science, teaching and the practice of psychology
  • need to be honest, fair and respectful of others
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26
Q

Define professional and scientific responsibility

A
  • the need to uphold professional standards of conduct and accept appropriate responsibility for your actions
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27
Q

Define respect for people’s rights and dignity

A
  • avoid treating people in a biased manner

- respect their basic human rights to privacy, self-determination and autonomy

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28
Q

Define concern for other’s welfare

A
  • expected to contribute to the welfare of those with whom they interact professionally
  • do not exploit or mislead other people during professional relationships
  • no deception or make it as ethical as possible
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29
Q

Define social responsibility

A
  • apply and make public your knowledge of psychology in order to contribute to human welfare
  • publish your research not only for your career but for the public too so they can know what is going on
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30
Q

Define planning of research

A
  • ethical considerations are central to the planning of the study
  • weigh the scientific value of the study against the degree of intrusion into participants (the risks)
  • it is mandatory to submit experiment proposals to an ethical committee before any research is conducted
  • the committee is make up of more than one person who decides whether the costs outweigh the risks
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31
Q

Ethics - Kassin and Kiechel (1996)

A
  • the likelihood of a conviction increases when the defendant confesses
  • is it possible for people to falsely confess to a crime - when they say that they have committed a crime when they actually have not?
  • lots of different factors can contribute to this - false evidence and witnesses, coercive techniques, vulnerable states such as stress, drugs, sleep deprivation and torture
  • 75 students participants for a “Reaction Time Task”
  • had to type letters as they were read aloud
  • told not to hit the ‘alt’ key otherwise the computer would crash and all the data would be lost
  • computer was actually rigged so that it would crash after one minute
  • would P’s confess to hitting the ‘alt’ key
  • 2 conditions - letters read by the confederate at either 43 letters per minute or 67 letter per minute
  • faster rate = more stress for P’s
  • other manipulations - the distressed experimenter accused the P of hitting the ‘alt’ key and there was a false witness who agreed with the experimenter
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32
Q

Ethics - Kassin and Kiechel (1996)

RESULTS

A
  • 69% signed a written confession - confessed to a crime they had not committed
  • did P’s really believe in their own guilt:
    28% told another person that they had ‘ruined’ the experiment
    9% made up specific details to explain how they could have hit the key
  • fast place & false evidence = 100% signed confession, 65% believed their own guilt and 35% made up details to explain their behaviour
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33
Q

Ethics - Kassin and Kiechel (1996)

EVALUATION

A

Risks to participants?

  • could become stressed by the accusations
  • upset about being deceived

Addressing the risks:

  • situation did not make them seem like bad people
  • received a complete debriefing - told about the nature of the experiment, told they did not do anything wrong and they were told that the computer was not damaged at all
  • explained why the deception was a necessity in order to study this important social problem
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34
Q

What is deception?

A
  • leading participants to believe that something other than the true IV is involved or withholding information such that the reality of the investigate situation is masked or distorted
  • contradicts the principle of informed consent
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35
Q

What is debreifing?

A
  • informing participants about the full nature and rationale of the study they have experience
  • attempt to revere any negative influence
  • depends on the degree of deception
  • may involve some more deception itself (you performed very well)
36
Q

What do you have to do within an experiment regarding stress and discomfort towards the participants?

A
  • need to guarantee the safety of participants
  • have to protect them from harm or discomfort
  • not all stress arises from deception - exposure to violent or pornographic film sequences can cause distress as well as sensory deprivation studies

Physical discomfort - pain, hunger, thirst etc
- any experiment / procedure needs to be terminated when discomfort levels are higher than expected or the P is disturbed to an unacceptable level

37
Q

What is informed consent?

A
  • highly crucial to obtain this - have to gain the P’s consent to actually take part in the experiment
  • need to use language that the P will understand - lots of scientific jargon may hid what is actually happening in the experiment itself
  • details what you will be doing
  • full information about the expected level of discomfort (if any) and a heavy emphasis on the voluntary nature of the study
  • reminder that the P has the right to withdraw at any point in the procedure

BUT sometimes there is a need to deceive P’s about the nature of a study (eg Milgram’s study)

38
Q

What is involuntary participation?

A
  • eg what happens in a filed surfy where someone takes part without agreeing to or even knowledge of the study itself
39
Q

Describe scientific fraud

A

Falsifying data - data needs to be made public & accessible

Plagiarism - taking someone else’s ideas & claiming them as your own
- need to acknowledge the ideas of others

Scepticism - need to be carful if it sounds too good to be true

40
Q

Describe animal research issues

A
  • need to have the knowledge to justify the procedures
  • use the smallest number of animals
  • species-specific care for animals (caging, procedures causing discomfort)
  • use no members of endangered species if possible - instead use naturalistic studies
  • researchers need to be familiar with technical aspects of anaesthesia, pharmacological compounds etc, post-operative checks
41
Q

What is direct observation?

A

Behaviour as it happens here and now

eg intervention vs no intervention

42
Q

What is indirect observation?

A

Behaviour that has happened in the past

eg archival records or physical traces

43
Q

What is a target population?

A
  • a particular population that we are interested in
  • where we draw samples from
  • eg undergraduate psychology students
44
Q

What is representative sampling?

A

An abstract ideal because it is practically impossible to get a completely representative sample

  • can’t force people to take part in studies
  • most people who turn up to take part in experiments are usually motivated to take part - not really representative perhaps?
  • is it justified to generalise from a small number of participants to a vast number of participants? (where inferential statistics can help us)
45
Q

Describe some sampling / selection biases?

A
  • there is often a systematic tendency towards over- or under- representing some groups within a sample
  • this means the sample differs systematically from the target population
46
Q

Describe non-probability / convenient sampling

A
  • selects P’s who are available and willing to participate
  • convenience of having your friends or the first 20 students who walk into the lecture
  • no guarantee however that each member has a change of being included in the sample
  • P who are available and willing to participate - motivated?
  • again may be over- or under- represented
  • cannot force people to take part so most samples are convenience
47
Q

Probability sampling - Simple Random Sample

A
  • a sample in which every member of the target population has an equal probability of being selected
  • if the sample is at random and large enough, it is representative in proportion to the population
  • can be done using a computer selection, random number tables, manual selection
48
Q

Probability sampling - Stratified Random Sampling

A
  • also has a random element to it
  • where pre-defined groups of people who you want to study are selected at random
  • need to have pre-existing knowledge of the sample
  • specified groups appear in numbers proportional to their size in the target population
49
Q

Describe nominal data

A
  • used to label / categorise events (individuals or observable behaviours) into discrete categories (gender, opinion polls)
  • yes-no categories, sometimes a bit more
  • least informative, just using numbers to measure
  • can use frequencies and suitable inferential tests
  • only using numbers for labelling categories so any unique transformation of the scale is allowed
50
Q

Describe ordinal data

A
  • when you order or rank events
  • more than or better than relationships
  • eg order students according to their marking or preferences for a specific car brand
  • need to be careful about how you interpret the scales as you cannot use number to assign to data - the differences between the different values may differ
  • eg not happy to moderately happy may be different to the gap between very happy and moderately happy
51
Q

Describe interval data

A
  • possess the characteristics of both nominal and ordinal
  • numerically equal distances represent equal distances in the property being measured
  • eg temperate in degrees C - it has an arbitrary zero point and an arbitrary 100 point
  • continuous scale
  • have to be careful - arbitrary to the concept being measured only!
52
Q

Describe ratio data

A
  • highest level of data
  • same as interval
  • has an absolute / natural zero point that has a theoretical meaning - 0 = an absence of a property being measured
  • all mathematical transformations are possible
  • the numbers on the scale indicate the actual amounts of the property being measured
  • physical scales measuring time, weight, distance, temperature in K
  • difficult to use for psychological measurements, eg IQ
53
Q

Describe reliability

A
  • the consistency of a measure
  • the extent to which measures of behaviour can be repeated with similar results
  • variance (Var) in a measured variable may be caused by a number of factors; may be because of variances between people or it may be down to situational factors, time, feelings on the day and so on

Var(DV) = Systematic Var + Error Var

54
Q

How can we assess reliability?

A
  • it is rarely assessed in experiments
  • split half method - scores for individuals questions are randomly split into two random halves and then correlated to see how similar they are
  • Cronbach’s alpha - come up with a summative score
    (both of these are most often used in research using psychometric tests)

High R - the measure is consistently close to the true measure BUT that tells us nothing about the validity of that measure

55
Q

Describe validity

A
  • whether a test is measuring what it is supposed to be measuring
  • the extent to which an instrument measures what it was designed to be measuring
  • eg an IQ text should truly measure intelligence, not something else

V assumes R - an unreliable measure measure cannot be valid but an invalid measure can in principle be reliable

56
Q

What is face validity?

A
  • whether a test looks like / appears to be valid
  • it makes sense, it looks like it is measuring what you are intending to measure
  • for example, an IQ asking people to solve problems - seems to be valid
  • not really formally assessed
57
Q

What is criterion validity?

A
  • whether you can rely on a measurement to predict future behaviour and relate it to other accepted measures of behaviour
  • for example, an IQ test should predict success in school as well as producing similar results to other known tests of intelligence
58
Q

What is construct validity?

A

Whether the construct being measured is valid (whether or not it ‘really’ exists) and the tool measuring the construct is suited to measure it

59
Q

Construct validity - Mischel

A
  • social-cognitive learning theory of personality
  • construct = delay of gratification
  • sometimes children want things to grow
  • operational definition - willingness to wait for a large reward instead of preferring an immediate small reward
  • hypothesis - younger children should be less willing to wait for a reward compared to older children
  • other studies have showed that this construct can be related to others like social responsibility, emotional maturity and so on
60
Q

What are the ethical implications of reliability and validity?

A
  • lots of measures (reaction times, IQ scores, anxiety scale, personality tests etc) are used to make decisions about people
  • for example schools, the army, job assessments, psychiatric diagnoses, exams and so on all use them
  • some very important decisions are based upon these kind of tests - what happens if they turn out to be invalid or unreliable?
61
Q

What is internal validity?

A

Whether the independent variable(s) is / are the true causes of change in the dependent variable(s)

Is the independent variable causing the dependent variable to change?

62
Q

What is external validity?

A

Whether we can truly generalise to the population we are talking about

Do we have representative findings?

63
Q

What is ecological validity?

A

Whether experimental findings can be generalised to more natural / less controlled settings

64
Q

What happens in an experiment?

A
  • investigative the effects of the independent variable(s) on the dependent variable(s)
  • independent variables are manipulated by the experimenter
  • dependent variable is assumed to be directly affected by the changes in the independent variable
  • all other conditions / extraneous variables are controlled for
  • can be conducted in the laboratory or in the field
65
Q

What are the strengths of experimental methods?

A

Isolate cause and effect

Control of extraneous variables = high internal validity

Eliminate alternative explanations

Easy to replicate

66
Q

What are the weaknesses of experimental methods?

A

Participant bias = low external validity

Artificial conditions and measures = low ecological validity

Participants contributions are completely prescribed - the kinds of studied phenomena are limited

67
Q

What is between-subjects deign?

A
  • when experiments compare at least two conditions (A and B)
  • there are at least two levels of the independent variable
  • P’s are placed into conditions A or B (ideally at random with control of EV’s)
  • P’s receive one conditon, not both
  • each condition has different groups of P’s - they only experience one level of the IV
68
Q

When must a between-subjects be used?

A

If the IV is:

1) a quasi-experimental subject variable, for example gender and anxiety
- when you cannot manipulate the independent variable - you can’t give a person a particular gender

2) manipulated in a certain way that precludes a within-subjects design
- when it is impossible / unreasonable for the same person to complete the second conditon
- for example, problem solving with and without a crucial piece of information

69
Q

Between-subjects design example - Sigall and Ostrove (1975)

A
  • wanted to investigate the influence of physical attractiveness of a defendant on recommended sentence
  • P’s see given written descriptions of a crime and were then asked to recommend a jail sentence
  • IV1 = the type of crime
    2 levels - a burglary where a women stole £2,200 against a swindle in which a woman induced a man to invest £2,200
  • IV2 = the attractiveness of the woman - 3 levels; very attractive, unattractive, no photo

Results:

  • control - B = 5.1 years and S = 4.4 years
  • unattractive - B = 5.2 years and S = 4.4 years
  • attractive - B = 2.8 years and S = 5.5 years
70
Q

What are the advantages of a between-subjects design?

A

Each subject enters the study fresh and naive to the procedure / purpose of the study

71
Q

What are the disadvantages of a between-subjects design?

A
  • large number of participants required
  • differences between conditions might be due to accidental differences between subject groups
  • > countermeasure = randomisation
72
Q

What is randomisation?

A

A method of placing randomly selected subjects into different groups

  • there is an equal probability for each subject to be assigned to a specific condition
  • this allows for us to spread possible individual difference factors evenly across conditions

Issue - with a small number of participants, it could happen that random assignment places all A-subjects into one group - this results in non-equivalent groups

73
Q

What is ‘matching’?

A

When you control for the problem of non-equivalent groups

  • basically match participants
  • have explicit control for individual differences
  • does require pre-testing of participants
  • have to be careful about what variables you are interested in as you can’t pre-test every single variable
74
Q

What are the differences between manipulated and subject variables?

A

Subject variables = already existing characteristics of the participants in the study, for example gender, intelligence, age and anxiety

75
Q

Within-subjects design advantages

A
  • fewer subjects are required since P’s are exposed to all levels of the IV
  • more powerful / sensitive to statistical tests can be applied as each subjects serves as their own control

For some experiments, within-subjects designs are the only reals label choice:

  • studies where a trial lasts only a few seconds (reaction times etc)
  • when subjects are rare, the target population is small
  • if there is a limited number of participants, you may as well get as much information out of them as possible
  • this type of design allows you to rule out individual differences - can be eliminated form the estimate of variability between conditions
  • just care about the difference in scores rather than the differences between participants
  • equivalent groups problem is eliminated
76
Q

Within-subjects design disadvantages

A

Progressive effects

  • practice, fatigue or boredom
  • performance steadily changes (also spontaneous recovery)

Carryover effects

  • systematic changes in performance that occur as a result of completing a sequence of conditions
  • difficult trials tend to linger on into the next trial
  • for example, easy to hard against hard to easy
  • if we complete a hard task before an easier task, the mentality that we had for completing the more difficult task stays with us
77
Q

What can we do to counter progressive and carryover effects?

A

Counterbalancing!

2 general categories - P’s are tested in each conditions just once or more than once

Once per condition
eg Reynolds (1992) Recognition of expertise in chess players
- 6 games with about 20 moves - order effects?

Complete Counterbalancing

  • every possible sequence will be used at least once
  • when many conditions are examined, complete counterbalancing is often practically impossible
  • eg with 6 conditions, there are 720 possible sequences
78
Q

What is breaking the confound?

A
  • a way of controlling for order effects
  • eg say you have 2 orders:
    One half of P’s = ABCDEF and the other half = DBCFAE
  • practice effects are balanced across the conditions
  • another technique is the random order of trials, for example reaction time experiments
79
Q

What is a mixed design?

A
  • when you have more than one IV
  • can include both between and within subjects elements

Example: a hypothetical study on the effectiveness of a new pain killer drug

  • between factor = the treatment group (placebo or painkiller)
  • within factor = time of measurement (before and after)
80
Q

What is a one-way design?

A

Includes one IV with two or more levels

Example:
Treatment = Painkiller or Placebo (2 levels)
Treatment = Painkiller, Placebo or Nothing (3 levels)

81
Q

What is a complex (factorial) design?

A

Includes 2 or more IVs, each with two or more levels

Example:
Treatment: Painkiller or Placebo (2 levels); Time: before treatment; one week after; two weeks after (3 levels) = a 2*3 design

  • in complex factorial designs, you are interested in main effects of and interactions between the IVs
82
Q

What 3 dimensions can we classify designs into?

A

How do we compare? ANALYSIS RELEVANT

How many independent variables? ANALYSIS AND INTERPRETATION-RELEVANT

Manipulation of Independent Variables? INTERPRETATION RELEVANT

83
Q

What is a main effect?

A
  • refers to the overall contribution of an IV to changes in the DV
  • this is averaged across levels of other IVs included in the design (typically a complex facto trial design)
84
Q

What is an interaction?

A

Refers to the specific contribution of an IV to changes in the DV, dependent on levels of other IVs included in the design (implies that the design must be complex)

  • difference between differences!
85
Q

Describe the different types of interaction

A

Disordinal - contrasts points in opposite direction
- cross over of contrasts

Ordinal - contrasts points in the same direction
- typically along with at least one main reliable main effect

No Interaction - two main additive effects; differences between differences are equal

86
Q

Describe the main data analysis steps

A

1) Check the data
- identify / eliminate errors, extreme values, outliers

2) Summarise the data
- descriptive statistics; values for central tendency (eg mean) and variability (standard deviation) in each condition / design cell

3) Statistically confirm what the data reveals
- inferential statistics (NHST); are differences detected in the sample just due to non-systematic sample fluctuations?

87
Q

What does it mean by ‘sensitive’?

A

The change to the IV is detected even when it is small