Research methods Flashcards

1
Q

What is a between subjects design?

A

Each participant only participates in one condition and provides one data value

This design avoids participant effects such as order effect and fatigue effect.

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2
Q

Advantages of between subjects designs

A

Avoids some participant effects e.g order effect and fatigue effect

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3
Q

What are the disadvantages of a between subjects design?

A

Takes longer, expensive, results may be due to participant differences

Requires twice as many participants.

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4
Q

What is a within subjects design?

A

Participants take part in all conditions

This design accounts for individual differences.

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5
Q

What are the advantages of a within subjects design?

A

Cost and time effective, less participants needed, Accounts for individual differences

Produces the same number of data points as between subjects design.

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6
Q

What issues are associated with a within subjects design?

A

Order effect and fatigue effect

These can influence participant performance.

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7
Q

What is a matched pairs design?

A

Participants are matched across conditions relevant to the study

Examples include scores on previous tasks or age.

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8
Q

What are the benefits of a matched pairs design?

A

Accounts for individual differences, removes order effect and fatigue effect

Tries to create equivalent groups.

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9
Q

What are the challenges of a matched pairs design?

A

Difficult to match people on all categories, time consuming, expensive

Matching requires careful consideration of variables.

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10
Q

What are extraneous variables?

A

Variables not controlled in an experiment that could affect the dependent variable

Examples include weather or noise outside the testing room.

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11
Q

What are confounding variables?

A

Extraneous variables that vary systematically with the independent variable

These are likely to influence results.

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12
Q

What are the 2 types of category data?

A

Nominal and Ordinal

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13
Q

What are tye 2 types of continuous data?

A

Interval and ratio

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14
Q

What is nominal data?

A

Labels with no hierarchy

Example: colours.

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15
Q

What is ordinal data?

A

Categories with a hierarchical order

Example: illness stages.

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16
Q

What is interval data?

A

Intervals between numbers are equal with no meaningful zero

Example: temperature in Fahrenheit.

17
Q

What is ratio data?

A

Intervals are equal and has an absolute zero

Example: time.

18
Q

What are descriptive statistics?

A

They summarize data and provide insight into patterns without raw data.

Mean, median, mode, range, standard deviation, standard error, Z-score

19
Q

What do confidence intervals measure?

A

The spread of data

95% confident that the population mean is within this range.

20
Q

What is skewed data?

A

Data that is unlikely to represent the data accurately

It may distort statistical analysis.

21
Q

What type of statistical test is used for mean data?

A

Parametric test

Used when data is normally distributed.

22
Q

What type of statistical test is used for median data?

A

Non-parametric test

Used when data is not normally distributed.