L13-16 Flashcards

1
Q

what is quantitative data?

A

involves numbers and can be measured objectively; immediately quantifiable

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2
Q

what is qualitative data?

A

involves words and the data is based on the subjective interpretation of language

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3
Q

what is primary data?

A

collected directly by the researcher for the purpose of the investigation

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4
Q

what is secondary data?

A

information that was collected for a purpose other than the current use

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5
Q

what is a meta-analysis?

A

combining results from a number of studies on a particular topic to provide an overall view

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6
Q

types of presentation of quantitative data?

A

tables, scattergrams, bar charts

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7
Q

normal distribution is…

A

symmetrical bell shaped curve

most people located at middle area

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8
Q

positive skew is…

A

unsymmetrical

concentrated to the left

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9
Q

negative skew is…

A

unsymmetrical

concentrated to the right

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10
Q

the ends of the curve…

A

never touch horizontal x-axis
never reach 0
extreme scores always possible

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11
Q

tables

A
not raw scores
been converted (descriptive stats)
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12
Q

scattergrams

A

show relationship between co-variables

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13
Q

bar chart

A

shows frequency for discrete (separate) variables

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14
Q

in a bar chart…

A

space is left between each bar

indicates lack of continuity

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15
Q

what are measures of central tendency?

A

inform us about central values for a set of data
‘averages’ – ways of calculating typical value
mean, median, mode

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16
Q

what are measures of dispersion?

A

describes how dispersed or spread out the data items are

range, standard deviation

17
Q

mean

A

most sensitive - uses every value
representative of all the data collected (+)
can be distorted by a single extreme value (-)

18
Q

median

A

unaffected by extreme scores (+)
any outlier values/extreme values not part of the average measurement (-)
less sensitive than mean, not as representative (-)

19
Q

mode

A

unaffected by extreme scores (+)

tells us nothing about other scores in the data set (-)

20
Q

range

A

quick and easy to calculate (+)

can be easily distorted by extreme values (-)

21
Q

standard deviation

A

takes account of all the scores (+)

more difficult to calculate than the range (-)

22
Q

percentages

A

take the no. of pps in a condition
divide by the total no. of pps
times the number you get by 100
e.g. 6/10 x 100 = 60

23
Q

two types of stats?

A

descriptive and inferential

24
Q

what are inferential statistics?

A

designed to work out probability (p) that particular set of data occurred by chance
not because of IV

25
Q

sign test…

A

can only be used when:
one group of pps (repeated measures design)
when data is quantitative

26
Q

what are descriptive statistics?

A

analyse data to help describe, show, or summarise it in meaningful way
examples:
measures of central tendency
measures of dispersion