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Vocabulary flashcards for Research Methods.
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Independent Variable (IV)
Variable being manipulated by the experimenter to measure its effect on the DV.
Dependent Variable (DV)
Variable that is measured to show any effect of the IV.
Controlled Variable
Variables that must be held constant to remove potential effects on DV.
Operationalising Variables
Putting variables into as much detail as possible, including clear measurement of the DV and clear manipulation of the IV over time.
Random Allocation
All participants have an equal chance of getting chosen for each group.
Non-random Allocation
Participants do not have an equal chance of getting chosen for each group.
Stratified Sampling
Split population according to characteristics, calculate the proportion of each characteristic in the population, and take a sample in proportion.
Convenience Sampling
Easiest group for researcher to obtain; non-random.
Random Sampling
Every member of the population has an equal chance of being chosen.
Between Subjects Design
Different conditions, each participant provides one data point.
Within Subjects Design
Every participant does every condition. Provides 2+ data points.
Mixed Design
Sample separated into 2+ groups. Each participant only does one condition but provides 2+ data points due to pre- and post-test.
Internal Validity
Is high when tools and procedures in the study measure what the researcher is trying to measure.
External Validity
Whether results can accurately be applied to the rest of the population.
Repeatability
Study is repeatable if it is replicated under identical conditions and produces the same results.
Reproducibility
Study is replicated under different conditions and produces similar results.
Extraneous Variables
May cause an effect on DV which is not IV.
Confounding Variables
An extraneous variable that does affect the DV and is not the IV. Has a systematic (not random) effect on DV.
Participant Related Variables
Differences between people such as characteristics or abilities that could effect DV in unwanted ways.
Order Effect
Order of conditions affect results (being tired in second test, or do better second time due to practice).
Placebo Effect
Participants beliefs cause change in results (not voluntary).
Experimenter Effect
Researchers beliefs have unwanted effect on results.
Demand Characteristics
Participant changes their behavior due to knowledge of experiment, aim, or variable (voluntary).
Situational Variables
Procedures/instructions given to participants are different for each individual or group, or all environment factors not the same for each group.
Counterbalancing
Prevents order effect by splitting sample in half; Half does A then B, other half does B then A.
Single Blind Procedure
Participants are not aware if they receive treatment or not; manages placebo effect.
Double Blind Procedure
Both participants and experimenters are unaware of who receives the treatment; manages experimenter effect.
Standardisation
Make instructions, procedure, and environment the same for everyone.
Deception
Lie about what's being measured. Only works if lie not harmful, actual DV is hard to guess, and must reveal post-experiment.
Qualitative Data
Data represented with descriptions.
Quantitative Data
Data represented with numbers.
Primary Data
Data collected by the researcher.
Secondary Data
Data collected by someone other than the researcher or team.
Scientific Evidence
Results obtained by a controlled experiment or study following scientific method; Shows effect of an IV on DV, either directly or indirectly.
Non-Scientific Evidence
Encompasses evidence not obtained by a controlled experiment or study following scientific method. Includes opinion and anecdote.
Bar Graph
Bars don't touch Y axis or each other; No continuation between one category and the next.
Line Graph
Shows how one variable changes as another variable changes; Variables on X axis are continuous.
Random Errors
Chance factors or variation; Unknown or uncontrolled factors affect the measurement; Effect precision; degree of error varies each time.
Systematic Errors
Factor that consistently favors one condition; Associated with a flaw in some aspect of the research design; Same degree of error each time (consistent); Effect accuracy.
Personal Error
Human Errors (miscalculations, observer error-misreading a score).
Accuracy
How close measurement is to the true value of quantity being measured.
Precision
How closely a set of measurements agree with each other.
Uncertainty
Lack of exact knowledge of value and quantity.
Generalisations
statements that suggest the results of a study could be applied to all members of the population
how findings can apply to situations outside experiment
implications of the findings.
Ideas for future research
All research can provide a basis for future research into the same or similar ideas.
A change to one of the following elements of the research is suggested:
IV
DV
Population
Measurement method
Beneficence
Maximizing benefits and minimising harm
non-maleficence
avoiding causing harm
Benefits outweigh any harm caused
justice
Everyone has the same opportunities
Fair consideration of competing claims
E.g giving control group the option to take the drug after trial if it is good
integrity
Honestly reporting all findings
Commitment to knowledge and understanding
respect
consideration of the value of living things. regarding beliefs, customs and cultural heritage and capacity to make decisions
advantages of between subjects design
No order effects
disadvantages of between subjects design
participant related variables
advantages of within subjects design
no participant related variables
disadvantages of within subjects design
order effects
disadvantages of mixed subjects design
demand characteristics, placebo effect.
advantages of mixed subjects design
no participant related variables