Deck 12: Basic Data Analysis for Quantitative Research
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Deck 12: Basic Data Analysis for Quantitative Research
1
What is the first step in analyzing quantitative data?
A) Determine if research involves descriptive analysis or hypothesis testing.
B) Evaluate findings to assess whether they are meaningful.
C) Review conceptual framework and relationships to be studied.
D) Conduct analysis.
E) Prepare data for analysis.
A) Determine if research involves descriptive analysis or hypothesis testing.
B) Evaluate findings to assess whether they are meaningful.
C) Review conceptual framework and relationships to be studied.
D) Conduct analysis.
E) Prepare data for analysis.
C
2
All of the following are typical tasks involved with data preparation EXCEPT:
A) editing
B) dealing with missing data
C) coding
D) transforming the data
E) calculating the mean
A) editing
B) dealing with missing data
C) coding
D) transforming the data
E) calculating the mean
E
3
Before questionnaire data can be used, it must be ____, which involves inspecting it for completeness and consistency, checking to see if respondents understood the question or followed a particular sequence they were supposed to in a branching question, and/or eliminating questionnaires due to missing data or responses on screening questions.
A) prepared
B) edited
C) transformed
D) entered
E) coded
A) prepared
B) edited
C) transformed
D) entered
E) coded
B
4
Blair collected data for her doctoral dissertation, and before she analyzes it to test her hypotheses, she must inspect it for completeness and consistency. She will need to eliminate some questionnaires due to missing data or based on how some respondents answers the screening questions regarding whether or not they use the product category in her study. Which task in the data preparation stage is Blair conducting?
A) preparation
B) coding
C) entering
D) editing
E) screening
A) preparation
B) coding
C) entering
D) editing
E) screening
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5
All of the following are activities performed when editing questionnaire data EXCEPT _____.
A) inspecting the data for completeness and consistency
B) checking to see if respondents understood the question
C) checking to see if respondents followed a particular sequence they were supposed to in a branching question
D) eliminating questionnaires dues to missing data or responses on screening questions
E) assigning numbers to particular responses
A) inspecting the data for completeness and consistency
B) checking to see if respondents understood the question
C) checking to see if respondents followed a particular sequence they were supposed to in a branching question
D) eliminating questionnaires dues to missing data or responses on screening questions
E) assigning numbers to particular responses
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6
Which is an approach for dealing with missing data?
A) for metric variables, estimate the missing values by substituting the mean
B) for nonmetric variables, estimate the missing values by substituting the mean
C) for metric variables, estimate the missing values by substituting the standard deviation
D) for nonmetric variables, estimate the missing values by substituting the standard deviation
E) for metric or nonmetric variables, estimate the missing values by substituting the kurtosis
A) for metric variables, estimate the missing values by substituting the mean
B) for nonmetric variables, estimate the missing values by substituting the mean
C) for metric variables, estimate the missing values by substituting the standard deviation
D) for nonmetric variables, estimate the missing values by substituting the standard deviation
E) for metric or nonmetric variables, estimate the missing values by substituting the kurtosis
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7
One approach to dealing with missing data is to identify the respondents and variables that have a large proportion of missing data points. Which percentage is considered the cutoff for this decision?
A) 2 percent or more
B) 8 percent or more
C) 15 percent or more
D) 25 percent or more
E) 50 percent or more
A) 2 percent or more
B) 8 percent or more
C) 15 percent or more
D) 25 percent or more
E) 50 percent or more
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8
Louis is assigning a number to a particular response so the answer can be entered into a database. He assigns a 5 for "strongly agree" and a 1 for "strongly disagree," and the points in between get assigned 2, 3, or 4. Louis is _____.
A) analyzing the data
B) coding
C) developing the frequency distribution
D) measuring the kurtosis
E) calculating the mean
A) analyzing the data
B) coding
C) developing the frequency distribution
D) measuring the kurtosis
E) calculating the mean
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9
Why is it recommended to use "0" or "1" to code a two-category variable, such as gender?
A) because one category is not important
B) because it enables greater flexibility in data analysis
C) because computers can only understand "0's" or "1's"
D) because it minimizes the chance for errors
E) because it makes it easier to interpret the results of data analyses
A) because one category is not important
B) because it enables greater flexibility in data analysis
C) because computers can only understand "0's" or "1's"
D) because it minimizes the chance for errors
E) because it makes it easier to interpret the results of data analyses
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10
How are missing values typically represented?
A) with a zero (0)
B) with a dot (.)
C) with a comma (,)
D) with an asterisk (*)
E) with an exclamation mark (!)
A) with a zero (0)
B) with a dot (.)
C) with a comma (,)
D) with an asterisk (*)
E) with an exclamation mark (!)
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11
_____is the process of changing the original form of data to a new format.
A) Data transformation
B) Coding
C) Data preparation
D) Data analysis
E) Frequency distribution
A) Data transformation
B) Coding
C) Data preparation
D) Data analysis
E) Frequency distribution
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12
Clarence has some questions on his questionnaire that are negatively worded. Thus, on these questions that have 5-point scales, he changes a 5 to a 1, 4 to a 2, 2 to a 4, and 1 to a 5, leaving the 3 responses alone. Clarence is _____.
A) reverse coding responses
B) filling in missing data
C) developing the frequency distribution
D) back coding responses
E) dummy-coding responses
A) reverse coding responses
B) filling in missing data
C) developing the frequency distribution
D) back coding responses
E) dummy-coding responses
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13
Combining the scores (raw data) for several statements on a questionnaire into a single score by adding the scores together results in a(n) _____.
A) kurtosis score
B) summated score
C) average summated score
D) model score
E) average score
A) kurtosis score
B) summated score
C) average summated score
D) model score
E) average score
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14
The _____ involves calculating the summated score and then dividing it by the number of variables.
A) median
B) mode
C) standard error of the mean
D) average summated score
E) skewness
A) median
B) mode
C) standard error of the mean
D) average summated score
E) skewness
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15
_____ examine the data one variable at a time and provide counts of the different responses for the various values of the variable.
A) Data counts
B) Single counts
C) Variable counts
D) Variable distributions
E) Frequency distributions
A) Data counts
B) Single counts
C) Variable counts
D) Variable distributions
E) Frequency distributions
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16
Fred needs a tool to display the counts for a given variable, one that will allow him to "eye-ball" check the data to easily determine the amount of non-response, and one that will allow him to see if there are any outliers. Fred should _____.
A) develop a pie chart
B) calculate the mean
C) calculate the mode
D) calculate the median
E) calculate the frequency distribution
A) develop a pie chart
B) calculate the mean
C) calculate the mode
D) calculate the median
E) calculate the frequency distribution
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17
A vertical bar chart, or _____, can be constructed from the information in the frequency distribution. The shape of the actual data as presented in this visual display can be compared to the expected shape.
A) histogram
B) normal distribution
C) box plot
D) whisker plot
E) dispersion plot
A) histogram
B) normal distribution
C) box plot
D) whisker plot
E) dispersion plot
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18
_____ show the data in the form of bars that can be displayed either horizontally or vertically and are very useful for showing both absolute and relative magnitudes and for comparing differences.
A) Pie charts
B) Box plots
C) Whisker plots
D) Dispersion plots
E) Bar charts
A) Pie charts
B) Box plots
C) Whisker plots
D) Dispersion plots
E) Bar charts
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19
A _____ displays relative proportions of the responses.
A) pie chart
B) box plot
C) whisker plot
D) dispersion plot
E) bar chart
A) pie chart
B) box plot
C) whisker plot
D) dispersion plot
E) bar chart
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20
Zeke wants to visually show the relative proportions of each response to the question "How often do you eat in the company cafeteria?" that was on the questionnaire for his research study. The most appropriate visual display method would be for him to use a _____.
A) box plot
B) pie chart
C) whisker plot
D) dispersion plot
E) histogram
A) box plot
B) pie chart
C) whisker plot
D) dispersion plot
E) histogram
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21
Which type of distribution is symmetrical, bell-shaped, and almost all of its values are within plus or minus three standard deviations from its mean?
A) symmetrical distribution
B) two-sided distribution
C) normal distribution
D) common distribution
E) linear distribution
A) symmetrical distribution
B) two-sided distribution
C) normal distribution
D) common distribution
E) linear distribution
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22
What percent of the values are within plus or minus one standard deviation in a normal distribution?
A) 20%
B) 48%
C) 50%
D) 68%
E) 95%
A) 20%
B) 48%
C) 50%
D) 68%
E) 95%
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23
What percent of the values are within plus or minus two standard deviations in a normal distribution?
A) 20%
B) 48%
C) 68%
D) 95%
E) 98%
A) 20%
B) 48%
C) 68%
D) 95%
E) 98%
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24
The _____ is the standard deviation of the individuals values of the sample divided by the square root of the sample size.
A) standard error
B) mean
C) mode
D) standard normal deviation
E) normal deviation
A) standard error
B) mean
C) mode
D) standard normal deviation
E) normal deviation
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25
Which distribution has a mean of 0 and a standard deviation of 1?
A) normal distribution
B) standard normal distribution
C) average normal distribution
D) normed distribution
E) zeta distribution
A) normal distribution
B) standard normal distribution
C) average normal distribution
D) normed distribution
E) zeta distribution
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26
Which of the following locates the center of the distribution as well as other useful information?
A) Z value
B) histograph
C) bar chart
D) measures of central tendency
E) standard normal distribution
A) Z value
B) histograph
C) bar chart
D) measures of central tendency
E) standard normal distribution
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27
Which of the following in NOT a measure of central tendency?
A) mean
B) median
C) mode
D) standard deviation
E) all of these are measures of central tendency
A) mean
B) median
C) mode
D) standard deviation
E) all of these are measures of central tendency
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28
The _____ is the arithmetic average and is one of the most commonly used measures of central tendency.
A) mean
B) median
C) mode
D) standard deviation
E) skewness
A) mean
B) median
C) mode
D) standard deviation
E) skewness
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29
What type of data is necessary to be able to calculate the mean?
A) interval
B) ratio
C) nominal
D) ordinal
E) either interval or ratio
A) interval
B) ratio
C) nominal
D) ordinal
E) either interval or ratio
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30
Carl has ordinal data and wants to calculate a measure of central tendency. Which measure is most appropriate for his level of measurement?
A) mean
B) median
C) mode
D) standard deviation
E) kurtosis
A) mean
B) median
C) mode
D) standard deviation
E) kurtosis
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31
Cynthia has categorical data and wants to calculate a measure of central tendency. Which measure is most appropriate for her level of measurement?
A) mean
B) median
C) mode
D) standard deviation
E) kurtosis
A) mean
B) median
C) mode
D) standard deviation
E) kurtosis
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32
Measures of _____ describe the tendency for sample responses to depart from the central tendency and are another means of summarizing the data.
A) dispersion
B) spread
C) departure
D) abnormality
E) displacement
A) dispersion
B) spread
C) departure
D) abnormality
E) displacement
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33
All of the following are measures of dispersion EXCEPT _____.
A) range
B) mean
C) variance
D) standard deviation
E) skewness
A) range
B) mean
C) variance
D) standard deviation
E) skewness
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34
This simple measure of dispersion defines the spread of the data and is the distance between the largest and the smallest values of a sample frequency distribution. It identifies the end points of the sample distribution. This measure described is known as _____.
A) variance
B) skewness
C) kurtosis
D) range
E) difference
A) variance
B) skewness
C) kurtosis
D) range
E) difference
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35
What is the problem with deviation scores?
A) they do not provide very useful information
B) when we try to calculate an average deviation for all respondents, the positive deviation scores always cancel out the negative ones, thus leaving an average deviation value of zero
C) they are difficult to compute
D) too much information is lost when examining individual deviation scores
E) they do not accurately measure how far away a respondent is from the mean
A) they do not provide very useful information
B) when we try to calculate an average deviation for all respondents, the positive deviation scores always cancel out the negative ones, thus leaving an average deviation value of zero
C) they are difficult to compute
D) too much information is lost when examining individual deviation scores
E) they do not accurately measure how far away a respondent is from the mean
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36
If each and every respondent in the distribution is the same as the mean, the variance _____.
A) will equal zero
B) will be positive
C) will be negative
D) will be very large
E) cannot be calculated
A) will equal zero
B) will be positive
C) will be negative
D) will be very large
E) cannot be calculated
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37
The _____ describes the spread or variability of the sample distribution values from the mean, and is perhaps the most valuable index of dispersion.
A) range
B) variance
C) standard deviation
D) skewness
E) kurtosis
A) range
B) variance
C) standard deviation
D) skewness
E) kurtosis
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38
Two measures that indicate the shape of the distribution are _____.
A) mean and median
B) mean and mode
C) range and variance
D) range and standard deviation
E) skewness and kurtosis
A) mean and median
B) mean and mode
C) range and variance
D) range and standard deviation
E) skewness and kurtosis
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39
_____ measures the departure from a symmetrical (or balanced) distribution.
A) Range
B) Variance
C) Kurtosis
D) Skewness
E) Standard deviation
A) Range
B) Variance
C) Kurtosis
D) Skewness
E) Standard deviation
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40
_____ is a measure of a distribution's peakedness (or flatness).
A) Range
B) Variance
C) Kurtosis
D) Skewness
E) Standard deviation
A) Range
B) Variance
C) Kurtosis
D) Skewness
E) Standard deviation
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41
A curve is too peaked when the kurtosis exceeds _____ and is too flat when it is below _____.
A) 0; 0
B) +1; -1
C) -1; +2
D) +5; +2
E) -2; -5
A) 0; 0
B) +1; -1
C) -1; +2
D) +5; +2
E) -2; -5
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42
A(n) _____ is a respondent (observation) that has one or more values that are distinctly different from the values of other respondents and can impact the validity of the findings.
A) outlier
B) abnormality
C) extreme
D) variance
E) deviant
A) outlier
B) abnormality
C) extreme
D) variance
E) deviant
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43
Blank responses are referred to as missing data and do not have to be dealt with when analyzing data.
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44
Manipulation checks can be used to verify that a respondent interpreted the description within the question correctly.
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45
Data transformation is the process of changing data from the original form to a new format and is done to more easily understand the data.
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46
Data warehouses are computerized electronic storage devices that hold information collected by a business.
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47
A histogram is a horizontal bar chart that is constructed from information in frequency distribution and has space between the bars. .
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48
Pie charts and bar charts can both be used to display relative proportions of responses.
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49
A normal distribution is a continuous curve that describes all possible values of a variable.
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50
The standard error is the standard deviation of the individual values of the sample times the square of the sample size. .
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51
Measures of dispersion describe the tendency for sample responses to depart from the central tendency.
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52
The range is the most difficult measure of dispersion to calculate. .
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53
The standard deviation describes the spread or variability of the sample distribution values from the mean.
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54
Skewness measures the departure from a symmetrical (or balanced) distribution.
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55
What is the advantage of using an average summated score over using a summated score?
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56
Name and describe common visual tools to display the frequency distribution.
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57
Discuss the typical tasks involved in data preparation.
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58
A researcher is in the preparation stage of quantitative data analysis and is concerned about missing data because it can impact the validity of his findings. Explain how he should deal with this problem.
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59
What is a frequency distribution and how is it useful in business research?
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60
Name and describe the measures of dispersion.
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