MR topic 8

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Last updated 10:45 AM on 5/3/26
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32 Terms

1
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what is the first step in data preparation?

questionnaire checking (remove incomplete/unusable surveys)

2
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what is editing in data preparation?

fixing illegible, inconsistent, or ambiguous responses

3
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what is coding?

assigning numerical values to responses

4
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difference between precoding and postcoding

PRECODING —→ before data collection (closed question)

POSTCODING —→ after data collection (open-ended)

5
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what is transcribing?

entering data into software

6
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what is data cleaning?

detecting and correcting errors + handling missing data

7
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why do we statistically adjust data?

to make it more representative of the population

8
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what is the final step in data preparation

selecting a data analysis strategy

9
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in data entry, what does 1 question usually equal?

1 variable

10
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how are multi-response questions entered?

each response option = 1 variable

11
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what must each variable include?

name, labels, value labels

12
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what determines the choice of statistical technique?

  • research objectives

  • data type

  • number of variables

  • purpose

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2 main data types

  • non-metric (nominal, ordinal)

  • metric (interval, ratio)

14
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what is descriptive analysis?

summarising data

15
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what is a univariate technique?

analysis of one variable

16
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how do you analyse non-metric data?

frequency distribution

17
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how do you analyse metric data?

mean

18
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when do you use Chi-square

when at least one variable is non-metric

19
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purpose of Chi-square

test relationship between variables

20
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null hypothesis (Chi-square)

no association between variables

21
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when do you use correlation?

when both variables are metric

22
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what does correlation measure?

strength and direction of a relationship

23
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range of correlation coefficient?

-1 to +1

24
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what does 0 mean in correlation?

no relationship

25
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null hypothesis (correlation)

correlation = 0

26
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when is a t-test used?

to compare means between 2 groups

27
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what are independent samples?

2 different groups

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what are paired samples?

same group measured twice

29
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null hypothesis (t-test)

means are equal

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when is ANOVA used?

to compare means across 3 or more groups

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data type required for ANOVA?

DEPENDENT = metric

INDEPENDENT = non-metric

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null hypothesis (ANOVA)

all group means are equal