research methods Flashcards

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1
Q

null hypothesis + example

A

no difference

there is no difference between eating eggs and an increase in bone strength

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2
Q

directional hypothesis + example

A

this is the difference

eating eggs will increase bone strength

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3
Q

non directional

A

is a difference

is a difference between people eating eggs and their bone strength

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4
Q

sign test

A

non-parametric statistical test of difference that allows a researcher to determine the significance of their investigation.

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5
Q

when to use sign test

A

data is nominal and a repeat measures has been used.

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6
Q

nominal data

A

names/categories e.g. red, green, blue

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7
Q

ordinal data

A

ranked e.g. exam results

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8
Q

interval data

A

ordered data that occurs at regular intervals e.g. sec, min, cm, mm, kg

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9
Q
TABLE 
              unrelated | related | correlational/association
nominal
ordinal
interval
A

TABLE ANSWERS
unrelated | related | correlational/association
nominal | ch-sq. | sign Test | chi -squared
ordinal | Mann-whit| Wilcoxon | spearman’s rho
interval. | unrelat t-test | relat t-test | Pearsons R

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10
Q

type 1 error

A

when null hypothesis is rejected and alternative hypothesis is accepted however should have been the other way round as the null hypothesis is correct
(telling a man he is pregnant)

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11
Q

type 2 error

A

null hypothesis is accepted but it should have been the alternative hypothesis because this is in fact true
(telling a pregnant woman she isn’t pregnant)

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12
Q

sign test requires…

A

observed value to be equal to or less than the critical value in order to be accepted as significant allowing the null hypothesis to be rejected

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13
Q

type 1 error is likely

A

if the significance level is too high e.g. 0.1 or 10% rather than 5%

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14
Q

type 2 error is more likely

A

if the significance level is too low e.g. 0.01 or 1%

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15
Q

why is this?

A

potential significant values may be missed

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