7. RESEARCH METHODS (Experimental Method) Flashcards

1
Q

What does an aim state in research?

A

An aim is a general statement of what the researcher intends to investigate – the purpose of the study. It typically begins with “to investigate…”

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2
Q

What is the purpose of a hypothesis in research?

A

A hypothesis is a testable statement predicting what the researcher expects to find. It can be directional, non-directional, or null.

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3
Q

What does operationalisation mean in psychology research?

A

Operationalisation means clearly specifying/defining the behaviour or variables to enable measurement and replication, making the research precise and reliable.

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4
Q

What’s the difference between directional and non-directional hypotheses?

A

A directional hypothesis predicts the exact nature of the relationship between variables, while a non-directional hypothesis simply predicts that there will be a relationship without specifying how.

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5
Q

What does a null hypothesis predict?

A

A null hypothesis predicts no difference or relationship between the variables being investigated.

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6
Q

What is the difference between extraneous and confounding variables?

A

An extraneous variable is any variable that could affect the DV but isn’t being studied, whereas a confounding variable is an uncontrolled extraneous variable that does affect the DV and interferes with the study’s results.

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7
Q

What are demand characteristics?

A

Demand characteristics are cues in the environment that lead participants to guess the aim of the study, potentially affecting their behaviour.

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8
Q

What are investigator effects in psychological research?

A

Investigator effects are any unintentional influence of the researcher’s behaviour or characteristics on the participants or data, which can bias the results.

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9
Q

What is randomisation in experimental research?

A

Randomisation refers to using chance to reduce the influence of researcher bias on the design or procedures of the experiment, such as random assignment of participants.

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10
Q

Why is standardisation important in experiments?

A

Standardisation ensures that all participants experience the same conditions, reducing variability and increasing the reliability of results.

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11
Q

What is the purpose of a control group in an experiment?

A

A control group is used as a baseline to compare with the experimental group, allowing researchers to isolate the effect of the independent variable on the dependent variable.

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12
Q

What is the difference between single and double-blind procedures?

A

In a single-blind procedure, participants are unaware of which group they’re in, while in a double-blind procedure, both the participants and the researchers are unaware.

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13
Q

What is an Independent Groups design in experiments?

A

An Independent Groups design uses different participants for each condition, reducing the impact of order effects.

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14
Q

What are the strengths of an Independent Groups design?

A

It avoids order effects, reduces demand characteristics, allows for use of the same stimulus material, and can be time-efficient in some cases.

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15
Q

What are the limitations of an Independent Groups design?

A

It may suffer from participant variables (which can be controlled with random allocation), and it typically requires more participants, which can be time-consuming.

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16
Q

What is a Repeated Measures design?

A

A Repeated Measures design uses the same participants for all conditions, helping to control for participant variables.

17
Q

What are the strengths of a Repeated Measures design?

A

It controls for participant variables, requires fewer participants, and allows the researcher to assess within-subjects differences.

18
Q

What are the limitations of a Repeated Measures design?

A

It can suffer from demand characteristics, order effects, and may be more time-consuming due to testing all conditions.

19
Q

What is the purpose of counterbalancing in Repeated Measures designs?

A

Counterbalancing ensures that order effects are evenly distributed across conditions, allowing researchers to control for practice and fatigue effects.

20
Q

What is a Matched Pairs design?

A

A Matched Pairs design pairs participants based on relevant characteristics and assigns each member of the pair to different conditions

21
Q

What are the strengths of a Matched Pairs design?

A

It avoids order effects, controls for participant variables, reduces demand characteristics, and uses the same stimuli across conditions.

22
Q

What are the limitations of a Matched Pairs design?

A

Matching participants is time-consuming, and the design often requires more participants than Repeated Measures.