The Statistics Test - The Sign Test Flashcards

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1
Q

Hypothesis

A

A testable statement which states relationship or difference between variables being examined

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2
Q

Null hypothesis

A

Hypothesis which states there will be no relationship or difference between variables being examined

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3
Q

Statistical testing

A

Way of determining whether the null hypothesis should be accepted or rejected, so the hypothesis can be accepted or declined

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4
Q

Three types of data used in statistical testing

A

Nominal data
Ordinal data
Interval data

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5
Q

Nominal data

A

Data represented in form of categories

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6
Q

Example of nominal data

A

Male or female

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7
Q

Ordinal data

A

Data that is ranked

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8
Q

Example of ordinal data

A

How much do you like psychology on a scale of 1-10?

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9
Q

Why does ordinal data lack precision?

A

Because it’s based on subjective opinion rather than objective measures

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10
Q

What type of dat isn’t a part of statistical testing?

A

Ordinal data

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11
Q

Interval data

A

Data based on accepted units of measurement

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12
Q

Example of interval data

A

Time
Temperature
Weight

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13
Q

What is the most precise and sophisticated form of data in psychology?

A

Interval data

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14
Q

What type of data is most commonly used for the sign test?

A

Nominal data

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15
Q

What is the sign test used to determine?

A

Whether the difference found in results is significant

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16
Q

What do we need to be looking for when using the sign test?

A

We need to be looking for a difference rather than association

17
Q

What experimental design do we need to have to use the sign test?

A

Repeated measures design

18
Q

What type of data do we need to use the sign test?

A

Nominal data

19
Q

What signs do we use to indicate a positive or negative difference in the table of results when using a sign test?

A

+ for positive
- for negative

20
Q

After indicating the positive and negative differences in data, what do we do when using the sign test?

A

We add up to amount of positive differences and negative differences

21
Q

How do you calculate the sign value (S)?

A

Add up the amount of positive differences and negative differences. Whichever differences occurs the least frequently is the sign value

22
Q

Anagram for remembering the sign test

A

SNoRD

23
Q

S of SNoRD

A

Sign

24
Q

N of SNoRD

A

Nominal

25
Q

R of SNoRD

A

Repeated measures

26
Q

D of SNoRD

A

Difference

27
Q

Why will there always be a null hypothesis alongside the working hypothesis?

A

Because you need to test for a statistical significance

28
Q

Why do all studies have a significance level?

A

To check for significant differences or relationships

29
Q

What is the accepted level of probability in psychology?

A

0.05 or 5%

30
Q

If there is a less than 5% or 0.05 probability that the results occurred by chance, what was the difference likely to be due to?

A

The manipulation of the IV

31
Q

When the statistical test has been calculated, what value is the researcher left with?

A

The calculated value

32
Q

What value does the calculated value need to be compared to?

A

The critical value

33
Q

Why does the calculated value have to be compared with the critical value?

A

To decide whether the result is significant or not

34
Q

What are the critical values for a sign test given in?

A

A table of critical values

35
Q

What do you need to know to use the table of critical values?

A

Significance level desired
Number of participants (N)
Whether the hypothesis is directional or non-directional

36
Q

Repeated measures

A

Participants are measured two or more times on the dependent variable, rather than different participants being measured for each DV