Variables and Research Design Flashcards

1
Q

“Levels of measurement”

What are levels of measurement?

A

Ways of distinguishing variables

Each type of level varies in how the variable is measured

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2
Q

“Levels of measurement”

What are the four levels?

A

Nominal
Ordinal
Interval
Ratio

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3
Q

“Levels of measurement”

What is norminal?

A

Categories, No order

E.g. Gender

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4
Q

“Levels of measurement”

What is ordinal?

A

Ordered in terms of magnitude

Intervals are not necessarily equal

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5
Q

“Levels of measurement”

Interval?

A

Equal intervals
no absolute zero
E.g. Temperature

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6
Q

“Levels of measurement”

Ratio?

A

Equal intervals
absolute zero
E.g. Time

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7
Q

“Levels of measurement”

Why are they important?

A

Influence use of statistical test to analyse data

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8
Q

“Levels of measurement”

What type of statistical test is used for interval and ratio?

A

Parametric tests

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9
Q

“Levels of measurement”

What type of statistical test is used for ordinal and nominal?

A

NON-parametric tests

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10
Q

“Research Design”

What are the four types of research strategies

A

Descriptive
Correlation
Experimental
Quasi-Experimental

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11
Q

“Research Design”

What is a correlation research strategy

A

examine relationship between variables

causation cannot be inferred

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12
Q

“Research Design”

What is an experimental research strategy

A

Random allocation of participants into groups

Analysis by a group comparison

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13
Q

“Research Design”

What is a quasi-experimental research strategy

A

non-random allocation

pseudo manipulation

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14
Q

“Research Design”

what is a descriptive research strategy

A

no manipulation of variables
observational
cannot prove causality

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15
Q

“Research Design”

Between-Participant design

A

participants spread between different conditions

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16
Q

“Research Design”

Within-Participant Design

A

same participants within each condition

17
Q

“Research Design”

strengths of within participant designs

A

more Control of confounding variables

Cheaper - Less participants need

18
Q

“Research Design”

Strengths of between participant design

A

Less likely to work out purpose of study

Absence of the fatigue and practice (order effects)

19
Q

“Research Design”

counterbalancing purpose

A

reduce order effects

20
Q

“Research Design”

what is counter balancing

A

participants are split to complete tasks or conditions in different order to each other