Introduction (Recap) Flashcards

1
Q

What is p the probability of?

A

Observing results as extreme as observed if the null hypothesis is true.

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2
Q

How did Hume contribute to statistics?

A

He believed cause and effect should occur close in time (contiguity).
That the cause must come first (temporal precedence).
Effect shouldn’t occur without cause.

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3
Q

What is contiguity?

A

Cause and effect should occur close in time.

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4
Q

What is temporal precedence?

A

Cause must come before the effect.

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5
Q

How did Mill contribute to statistics?

A

He wrote about confounding variables.

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6
Q

Give two advantages and two disadvantages of experimental methods.

A

Advantages: randomisation and active control groups.
Disadvantages: Hard to execute in real-world settings. Hard to apply to real-world situations.

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7
Q

Give two advantages and two disadvantages of observational methods.

A

Advantages: High ecological validity. Sometimes the only option for some IVs.
Disadvantages: Sometimes difficult to eliminate the other confounds. Experimenter bias when recording data.

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8
Q

What is a dummy variable?

A

Dummy coding is a way of entering categorical data into the straight line equation.
Use it with two groups. One reference group.

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9
Q

Why can dummy variables be useful?

A

They allow for the straight line equation to be used for t-tests and ANOVAs.

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10
Q

What is a census?

A

When your sample consists of the whole of the population you are interested in.

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11
Q

Explain the significance of the p-value when you have a census.

A

There is no significance as there’s no need to generalise results.

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12
Q

Name 4 characteristics of a normal distribution.

A

Area under the curve is SDs.
Bell-shaped.
Symmetrical.
Infinite.

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13
Q

Define standard error.

A

The standard deviation of the sampling distribution of means.

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14
Q

What is the advantage to having lots of sampling means?

A

The closer to the population mean you will be.

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15
Q

What do standard errors tell us?

A

How widely spread sample means are around the population mean.

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16
Q

What is the equation for standard error?

A

standard deviation divided by the square root of the number of participants. s/root n.

17
Q

Define confidence intervals.

A

CIs are a range of scores within which the population mean will fall for 95% of samples.
This does not necessarily mean that our own 95% CI contains the population mean.

18
Q

How do you calculate the lower and higher boundaries of CIs?

A

Lower: mean - (1.96 x SE).
Higher: mean + (1.96 x SE).

19
Q

What are the three Cohen effect sizes for correlations (small, moderate and large)?

A

Small: .1
Moderate: .3
Large: .5

20
Q

What is the correlation between a variable and itself?

A

1.

21
Q

Correlations aren’t transitive to other variables.

What does this mean?

A

If X and Y have a positive correlation and Y and Z have a positive correlation.
This does not necessarily mean that X and Z have a positive correlation!

22
Q

How many DPs should you report all numbers to?

A

2DPs (except p-values and effect sizes).

23
Q

When reporting correlations what 3 things must you describe?

A

Their direction (positive and negative), magnitude (small, moderate or large) and significance.

24
Q

How do you calculate degrees of freedom for Pearson’s correlation?

A

N-2.

25
Q

How do you use SPSS to conduct a paired t-test?

A

Analyse - compare means - paired-samples t-test.

Put both variables into ‘paired variables’.

26
Q

How do you calculate Cohen’s d?

A

d = M1 - M2/ SDpooled.

SDpooled = root (SD1 squared + SD2 squared / 2).

27
Q

What should you report for paired t-tests?

A

Mean + SD.

t(df) = , p = , d = .

28
Q

How do you use SPSS to conduct an independent-samples t-test?

A

DVs into ‘test variable’ box.
IV into ‘grouping variable’ box.
Define groups.

29
Q

What should you report for independent samples t-tests?

A

Mean + SD.
Levene’s test for both DVs.
DV1: t(df) = , p = , d = .
DV2: t(df) = , p = , d = .

30
Q

How do you use SPSS to conduct a bivariate correlation?

A

Analyse - correlate - bivariate.

Put all variables into the ‘variable’ box.

31
Q

What should you report for correlations?

A

Direction, significance, r, p and magnitude.