WEEK 9 quantitative data analysis

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41 Terms

1
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what is quantitative analysis?

explaining observations through numerical representations by assigning numerical codes to answers

2
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what is quantification?

converting data into a numerical format

3
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what does quantification allow data to do?

allows data to be recorded on a computer that a computer can analyze

4
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what does quantification require?

a codebook

5
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what is coding data?

coding or assigning numbers to information

6
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do many coding schemes already exist?

yes

7
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what is an example of coding data?

gender

1=men 2=women

job security

0=not secure 1=somewhat secure 2=secure 3=very secure

8
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what is a codebook?

the document used in data analysis that tells the location of different items in the data file

9
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what is an example of a codebook

a codename for the question "what province are you from" would be G7.

if you didnt search for the code, numbers would show up, like 1-10.

when you search G7, the question will show up as well as what each number represents

1=nova scotia

2=ontario

3=quebec

4=alberta

10
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what happens when people answer with "dont know" or "refuse to answer"?

these responses will show up as its own number as well

11
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what are the 2 essential functions of a codebook

1. is a primary guide in the coding process

2. is the guide for locating variables and interpreting codes

12
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what is data cleaning?

the process of detecting and correcting coding errors in a data set

13
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what is an example of data cleaning

if you search a code that shows gender and 1=man, 2=women and 3=no answer, if the number 7 shows up it is an error and needs to be fixed

14
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what is contingency cleaning?

checking that only the cases that should have data entered have such data

15
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what is an example of contingency cleaning

if someone answers 1=man to one question and 1=being a mother, these dont align and need to be cleaned

16
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what is univariate analysis?

the examination of the distribution of cases of only one variable

- descriptive in nature

17
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what is the simplest form of analysis?

univariate analysis

18
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what 3 things does univariate analyses include?

1. frequencies

2. averages

3. measures of dispersion

19
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what are frequency distributions?

the number of times a variable is observed in a sample

100 white people, 200 asian, 50 black

20
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how do you find the frequency distribution for nominal variables?

divide the frequency of a category by total responses

100 white people in a sample, 200 asian, 50 black.

100 / 350 = .29 frequency for white people

21
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what is a cumulative percentage?

the frequency of the category after adding all other categories before it. always equals to 1

22
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what is a valid percentage?

the frequency distribution after taking into account people who responded "don't know" or "refuse to answer"

23
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when are pie charts used?

for nominal variables with very few categories

- not for ordinal variables

24
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what are the 3 measures of central tendency?

mean median mode

25
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what do the measures of central tendency show?

typical or central value of observations

26
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why do the 3 measures of central tendency often give different values?

because the mean is affected by outliers

27
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what is the mean?

the average, adding all values and dividing by number of values

28
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what is the median?

the centre value after rank-ordering the responses

- the better measure

29
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what is the mode?

the most frequent value

30
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what are measures of dispersion?

the distribution of values around a central value (mean,median,mode)

31
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what are the measures of dispersion also called?

measures of variability

32
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what are the 2 measures of dispersion?

1. range

2. standard deviation

33
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what is the range?

the difference between the highest and lowest values by subtracting the highest from lowest value

34
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what is the standard deviation?

the average deviation from the mean, where things fall around the mean

35
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what is a deviation score?

the distance from the mean for a particular observation

36
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what do larger standard deviations and lower standard deviations look like?

larger = a bigger dispersion around the mean

lower = higher point, lower dispersion

37
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what is a bivariate analysis?

analysis of 2 variables at the same time to see their relationship with one another

38
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what is cross-tabulation?

a form of presenting bivariate analyses

39
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how do we construct/read bivariate tabels?

by seeing how the value of the dependent variable depends on the value of the independent variable

40
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what is a multivariate analysis?

the analysis of 3 or more variables that influence one another

- more than 1 independent variable

41
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what is an example of a multivariate analysis?

seeing how age and gender are related to health quality