Research Methods Flashcards

1
Q

IV and DV

A

IV- Variable that is changed to see if it affects the DV
DV - The variable that is being measured by the researcher
effect on the Dv causes change in IV

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2
Q

Aims + Hypothesis

A

Aim- General statement of what the researcher intends to investigate / purpose
Hypothesis - Statement made at start of study describes relationship between variables.

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3
Q

Directional and non directional hypothesis

A

Directional - researcher states clear difference that is anticipated between the two conditions
Non directional - states there is a difference but the nature of the difference isn’t specified

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4
Q

Hypothesis used

A

Directional - Theory or findings of previous research suggest a particular outcome
Non directional - When no previous research is conducted or findings are contradictory

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5
Q

operationalisation

A

Operationalisation - Defining variables clearly in terms of how they can be measured

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6
Q

Extraneous variables and confounding variables

A

Extraneous - An variable other than the IV and DV that could affect the results
Confounding variables - systematically change with the IV, unexpected that makes it harder to define whether the results are due to one factor or another

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7
Q

Demand characteristics and investigator effects

A

Demand - occur when the participant tries to make sense of the research and act accordingly to support the aim of research. Can cause change in behaviour making it unnatural.
Investigator - Any unwanted influence of the investigator on the research outcome

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8
Q

Randomisation / Standardisation / Participant reactivity

A

Participant reactivity - when behaviours and reactions are impacted by the participants knowledge they are part of a study
Randomisation - chance methods to reduce researchers unconscious bias when designing a study
Standardisation - All participants should be subject to the same environment, information and experience,standardised instructions that are read to each participant.

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9
Q

Types of experiments

A
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10
Q

Target population and sample

A

Target population - large group of individuals that a researcher is interested in studying
Sample - smaller group of target population that needs to be respresentative of the target population so it can be generalised.

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11
Q

random sample

A

All members of the target population have an equal chance of being selected
Random sample - list of target population, all names assigned number, generated using lottery method
+Free from researcher bias
- May end up with unrepresentative sample
- Difficult and time consuming

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12
Q

Systematic sample

A

When every nth member of the target population is selected
Sampling frame and sampling system created
+Avoids researcher bias
+ Fairly representative

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13
Q

Stratified sample

A

sample reflects the proportions of people in certain sub groups (strata)within the population
researcher identifies different strata, proportions worked out, then selected using random sampling
- Doesn’t represent differences, not complete representation
+ Avoids researcher bias
+ Representative sample

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14
Q

opportunity sample

A

select anyone who happens to be willing and available for the study
+ Less costly and time consuming
- Researcher bias
-unrepresentative of target population

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15
Q

Volunteer sample

A

Participants selecting themselves to be part of the sample.
+less time consuming than other forms of sampling
- Volunteer bias - attract a certain type of person

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16
Q
A