Data Recording, Analysis And Presentation Flashcards

1
Q

How is raw data designed?

A

By using a tally short which summarises the data

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2
Q

What’s the use of raw data tables?

A

To get an overview of the data and see if there are any anomalies so the correct measure of central tendency can be used

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3
Q

Nominal level data

A

Categories of behaviour

Doesn’t tell us anything about the behaviour

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4
Q

Ordinal level data

A

Ranked order

Shows what ppts did the behaviour most or least

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5
Q

Interval level data

A

Level of measurement

Very Detailed as tells us most bout each ppt

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6
Q

Ratio level data

A

Type of interval

Data can’t go below 0

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7
Q

Primary data

A

Carry out own research and data is gathered directly from participants
Researcher knows exactly what controls were put in place etc but sometimes psychologists can’t carry out research themselves

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8
Q

Secondary data

A

Data that already exists
Good as can gather data that is too expensive to carry out by psychologists
May not be valid or reliable and there may be EV’s

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9
Q

Qualitative data

A

Data in form of words
Tells us experiences of ppts
Hard for comparisons to be made

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10
Q

Quantitative data

A

Data in the form of numbers
Allows comparisons to be made
Easily summarised
Reliability is easy to be found as results can be repeated

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11
Q

Measures of central tendency

A

Mean
Median
Mode

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12
Q

What measure of central tendency do you use with interval level data?

A

Mean

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13
Q

What measure of central tendency do you use with ordinal level data?

A

Median

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14
Q

What measure of central tendency do you use with nominal level data?

A

Mode

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15
Q

Measures of dispersion

A

Range
Variance
Standard deviation

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16
Q

Range

A

Subtract lowest from highest and add 1 or 0.1

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17
Q

What measure of dispersion do you use with interval level data?

A

Standard deviation and range

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18
Q

Variance

A

Measures how much a set of numbers is spread out
0 variance shows they are identical
A small variance shows they are close to each other
A high variance shows the data is spread out

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19
Q

Standard deviation

A

More detailed as it uses every piece of data

20
Q

Ratios

A

A way of expressing proportions of a whole population

21
Q

Frequency table

A

Shows the tally of behaviours

22
Q

Pie chard

A

Show each behaviour as a proportion of the total

23
Q

Line graph

A

Useful to show behaviour over time

24
Q

Bar chart

A

Useful and meaningful way of presenting data

25
Histogram
Can only be used if the data is continuous (0-3 4-6)
26
Scatter diagram
Graph that represents a correlation Psychologists can work out direction and strength of the correlation They show any outliers
27
Proportionality
As one variable increases by a certain amount, the other increases by the same proportion
28
Inverse proportion
If one variables doubles, the other will half
29
Convert a fraction to a percentage
Divide top by bottom times 100
30
Convert percentage to fraction
Write down the percentage over 100. Simplify the fraction, if it isn't a whole number, multiply top and bottom by 10 for every no after decimal point
31
To find the amount a percentage represents
Divide the amount/total by 100 and times by the percentage
32
To find the number represented by a fraction
Divide amount/total by bottom and times it by the top
33
Normal distribution curve
Data about behaviour from a representative sample of a target population will be a curve of normal distribution A normal curve is when all the measures of central tendency occur at the highest point of the curve
34
Skewed distribution curve
When the distribution curve represents data from an unusual set of data (mean diff from mode)
35
Negatively skewed curve
Fewer people at the lower end and more at the higher end of the scores Mean and mode are different
36
Positively skewed curve
Most the population have more low scores than high
37
Probability
Psychologists want to know what the probability is that the IV affected the DV, if there is a low probability they won't believe it had an affect
38
Level of significance
The level that psychologists reject the null hypothesis is 95% (95% chance IV affected the DV and 5% chance it being due to chance) If there was a need for the results to be as certain as possible (impacting society) it can be set at 99% or if the sample is small it can be set at 90%
39
What does p
Probability of results being due to chance is less than 5%
40
How do psychologists find out the significance level?
Using statistical tests
41
Inferential statistical tests
``` Chi square Binomial sign Mann Whitney U Wilcoxon signed rank Chi square Spearmans rho ```
42
Criteria for using a non parametric inferential test
What level of data is being used Is it a test of difference or correlation If it is a test of difference does it use am independent or repeated measures design
43
Criteria for using a parametric test
The data has to be interval or ratio The data has to have a curve of normal distribution The variances should be similar Should be no extreme scores
44
Type 1 error
Accepting the alternative hypothesis when there is no difference We believe IV has affected DV when it hasn't Behaviour is due to chance Conducting to lenient of a test Can avoid this by setting significance level higher (0.01) but this might cause a type 2 error
45
Type 2 error
Rejecting the alternative hypothesis and accepting a null hypothesis when the IV is actually affecting the DV Being too strict and setting the significance level too high
46
What is raw data?
The data that psychologists collect for each participant