RM 2/2 Flashcards

1
Q

What does quantitative mean?

A

To do with numbers

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2
Q

What does qualitative mean?

A

To do with text

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3
Q

What is a control condition?

A

A condition that helps us understand the role of the IV and DV or rule out alternate explanations for results

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4
Q

What is matched pairs experimental design?

A

participants are matched between the two (or more) conditions to account for individual differences

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5
Q

What is an extraneous variable?

A

A variable not controlled in the experiment that could affect the DV

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6
Q

What is a confounding variable?

A

A type of extraneous variable that varies with the IV to influence the DV

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7
Q

What are the two main data types?

A

Categorical and numerical

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8
Q

What are the two types of categorical data?

A

nominal and ordinal

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9
Q

What are the two types of numerical data?

A

interval and ratio

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10
Q

What is the purpose of inferential statistics?

A

To compare two data sets

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11
Q

What is the central tendency of a normal distribution?

A

The vertical line from the peak to the x-axis

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12
Q

What is the variability of a normal distribution?

A

The horizontal line across the x-axis showing the spread of scores

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13
Q

Why is it not possible to measure all the people in a population when conducting an experiment?

A

time consuming
expensive
geographically challenging

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14
Q

What is sampling error?

A

Where the mean of the sample is different to that of the population

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15
Q

How do you work out the sample error?

A

sample mean - population mean

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16
Q

How can you lower the sampling error?

A

take an average across multiple samples as it will be closer to the population mean

17
Q

Why are larger sample sizes better?

A

better estimates of the population mean

18
Q

What is a confidence interval?

A

95% chance the population mean lies within this interval

19
Q

What is variance?

A

A measure of dispersion

20
Q

How do you calculate variance?

A
  1. difference between each score and the mean (x-x̅)
  2. square it (x-x̅) ²
  3. add all the squared differences together (Σ)
  4. divide by the sample size -1 (n-1)
21
Q

How do you calculate standard deviation?

A

√Variance

22
Q

How do you calculate standard error?

A

standard deviation ÷ √n-1

23
Q

How do you calculate confidence intervals?

A

sample mean ± (1.96 x SE)
+ = upper 95% CI
- = lower 95% CI

24
Q

What is a hypothesis?

A

The effect of an IV on DV

25
What is a false positive?
Finding an effect where there isn't one
26
What is a false negative?
Not finding an effect where there is one
27
What are inferential statistics?
The probability your results would be replicated if the null hypothesis was true
28
What is a p-value?
The probability of getting your results by chance
29
What is the p-value in psychology?
0.05 (5%)
30
What is a significant and non-significant p-value in psychology?
p < 0.05 = significant | p > 0.05 = non-significant
31
What is the most common test of normality?
Shapiro-Wilk test