U4 AOS3 Flashcards

1
Q

Process of experimenting

A
Research question
Identify population
Scientific merit
Aim
Prediction
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2
Q

Aim

A

Purpose of the study (to test the affect of A and B)

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3
Q

Hypothesis

A

Testable prediction that identifies the population, identifies experimental conditions (IV) and outcome (DV)

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4
Q

Representative sample

A

Spot on sample

  • adequate size
  • bias and error free
  • takes into account characteristics
  • proportionate to sample
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5
Q

Population

A

Group of interest from which sample is drawn

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6
Q

Sample

A

Subset of population used as participants in research

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7
Q

Control group

A

Used as basis of comparison not exposed to IV

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8
Q

Experimental Group

A

Exposed to IV to demonstrate its effects

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9
Q

IV

A

Manipulated by experimenter

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10
Q

DV

A

Measured to test effects of IV

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11
Q

EV

A

Has an unwanted effect on the results and hence alters DV

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12
Q

Confounding Variable

A

Variable other than IV that has a systematic effect on DV and leads to no conclusions

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13
Q

Operationalising

A

Putting IV and DV in terms of how the variables are measured and manipulated (more details)

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14
Q

Experiment

A

Measure a cause and effect relationship between two variables

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15
Q

Objective v Subjective

A

Can be directing observed or measured
Vs
Relies on the personal experience or self report

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16
Q

Primary vs Secondary Data

A

Sourced for the purpose of addressing the research question
Vs
Sourced through someone else’s research, indicates trends and patterns

17
Q

Qualitative vs quantitative data

A

Descriptions, opinions, arguments, comments
Vs
Easily measured, numerical, categorical

18
Q

Descriptive Statistics

A

Mathematical calculations that describe, organise, and summarise the data (mean median mode)

19
Q

Range and Standard Deviation

A

Difference between highest and lowest score in a distribution

Measures of the spread around the mean

20
Q

Inferential Statistics

A

Mathematical calculations that makes inferences from the data, judgments and conclusions

21
Q

Single blind vs double blind procedures

A

Participants unaware whether they are in control or exp group
Vs
Both experimenter and participants unaware of in control or experimental

22
Q

Validity vs Reliability

A

Extent to which an experiment measures what it is designed to measure
Vs
extent to which a experiment produces consistent results under similar conditions

23
Q

Conclusion

A

A statement that discusses the results of the experiment
Addresses aim/hypothesis
Fine to say no conclusions
Can only be made if statistics is authentic
Statistics must be significant and free from CVs

24
Q

Generalisation

A

Relates findings to wider population

25
Sampling methods
Convenience Random Stratified sampling
26
Convenience Sampling
Sample is selected in the quickest and easiest possible way - Adv: very quick and easy - Dis: Not representative
27
Random Sampling
Every member of the population of interest has an equal chance of being selected in the sample - Adv: Free from bias, quick and easy - Dis: May not be representative
28
Stratified Sampling
Break the population into groups based on certain characteristics and select participants from each group in the same proportion they appear in the population - Adv: More representative of population - Dis: Time consuming
29
Research Designs
``` Random Allocation/ Independent Groups Design Matched Participants Design Repeated Measures Design Cross Sectional Study Longitudinal Study ```
30
Random Allocation or Repeated Measures Design
When every member of the sample has an equal chance of being in either the control or experimental group - Adv: cost and time efficient - Dis: may have individual participant differences
31
Matched participants design
Each member of the sample is paired based on a particular characteristic, then randomly allocated to either experimental or control group - Adv: Few individual differences - Dis: Time consuming and pre test involved
32
Repeated Measures Design
Each member of the sample is involved in both control and experimental group - Adv: Few individual participant differences - Dis: Order effects
33
Cross Sectional vs Longitudinal Studies
Collects data at one point in time Vs Collect data from the individual over long periods of time
34
Order effect
An EV when the sequence of two conditions impacts on the DV
35
Counterbalancing
Half the participants are exposed to the control then experimental, and the other half is exposed to the experimental then control - eliminates order effects
36
Investigation Types
Case Studies- single person or event without comparison group Observational Studies Self Report, questionnaires, surveys
37
Ethics
Role of experimenter: no physical or psychological harm, must be worthwhile Rights of participants: voluntary participation, informed consent, debriefing, deception, withdrawal rights, confidentiality