Research methods | inferential statistics Flashcards

(18 cards)

1
Q

What is the purpose of inferential statistics?

A

To generalise findings from a sample to the target population.

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2
Q

When are results considered statistically significant?

A

When p < 0.05 (less than 1 in 20 chance the result is due to chance).

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3
Q

Which tests are used in correlational studies?

A

Spearman’s Rho (Ordinal)

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4
Q

Which tests are used for related data in experiments?

A

Sign Test (Nominal)

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5
Q

Which tests are used for unrelated data in experiments?

A

Mann-Whitney U (Ordinal)

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6
Q

What distinguishes a correlation from an experiment?

A

Correlation looks for a relationship/association; experiment tests differences due to IV manipulation.

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7
Q

What are the experimental designs?

A

Related (repeated measures/matched pairs)

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8
Q

What are the three levels of measurement?

A

Nominal (categories)

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9
Q

What is a memory aid for statistical tests?

A

Sign Test

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10
Q

What are the 4 marks in naming/justifying a statistical test?

A
  1. Name test
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11
Q

How do you structure an answer when justifying a statistical test?

A

State name

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12
Q

How do you interpret significance using a critical values table?

A

Compare observed value to critical value

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13
Q

What is the conclusion template for statistical significance?

A

The observed value (X) is [greater/less] than the critical value (Y), so we [accept/reject] the null hypothesis at p = 0.05 for a [one/two]-tailed test.

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14
Q

How do you calculate the Sign Test?

A
  1. Subtract conditions (A-B)
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15
Q

When are results significant in the Sign Test?

A

If S ≤ critical value

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16
Q

What is the formula for degrees of freedom in Chi-Squared?

A

(Rows - 1) × (Columns - 1)

17
Q

Which test is the only one that needs to be calculated in AQA exams?

A

The Sign Test.

18
Q

What’s a good exam tip for statistical test questions?

A

Sketch a stats table quickly in the exam to help guide your answers.