Research methods Flashcards

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1
Q

type 1 error

A

false positive

(lenient levels of significance)

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2
Q

type 2 error

A

false negative

(strict levels of significance)

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3
Q

Hypothesis

A

Predicted statement

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4
Q

alternate/experimental

A

IS difference

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5
Q

Null

A

NO difference

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6
Q

one tailed

A

directional

in cases of previous research

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7
Q

two tailed

A

non directional
difference but unsure of what direction

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8
Q

aim

A

intends to investigate

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9
Q

field experiment

A

natural setting, IV manipulated

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10
Q

Quasi

A

IV based on pre existing difference between people e.g age, gender. (not manipulated it simplt exists)
DV may be naturally occuring e.g exam results

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11
Q

stratified sample

A

participants selected according to frequency in target population

e.g subgroups are identified (gender), percentages of these groups are reflective in the sample

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12
Q

positive correlation

A

co variables rise or fall together

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13
Q

negative correlation

A

one co variable rises the other falls

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14
Q

mean

A

arithmetic average, add all scores and divide by amount there are

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15
Q

median

A

middle value

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16
Q

mode

A

most common

17
Q

range

A

measure of dispersion

difference between highest and lowest

18
Q

standard deviation

A

measure of dispersion

measure of average spread around mean. Larger the SD the more spread out the data

19
Q

histogram

A

bars touch one another as data is continuous

20
Q

probability

A

likelihood that certain events will occur 0.05

21
Q

percentage

A

divide by 100

22
Q

% to decimal

A

remove %
move decimal 2 to left

23
Q

decimal to fraction

A

work out number of decimal places

2 = denominator 100
3 = denominator 1000

find lowest common denominator

24
Q

normal distribution

A

symmetrical, bell curved

mean, median and mode all occupy mid point

25
Q

skewed distribution

A

lean to one side
positive- right
negative- left

26
Q

measures of central tendency

A

descriptive data statistics that depict an overall ‘central’ trend of a set of data

27
Q

measures of dispersion

A

Measures of dispersion describe the spread of data around a central value (mean, median or mode).

They tell us how much variability there is in the data.

There are two measures of dispersion: range (where you subtract the lowest score from the highest score) and standard deviation (SD) – which calculates the spread of scores around the mean

28
Q

content analysis

A

identify patterns in recorded communication, coverts qualitative into quantitative
uses coding units and tallies

29
Q
A
30
Q
A