Podcast
Questions and Answers
What is the mode in a data set?
What is the mode in a data set?
Which measure of central tendency is not apt for quantitative variables?
Which measure of central tendency is not apt for quantitative variables?
Which statement accurately defines the mean?
Which statement accurately defines the mean?
What formula is used to calculate the arithmetic mean?
What formula is used to calculate the arithmetic mean?
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When is calculating the mean appropriate?
When is calculating the mean appropriate?
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Which measure of central tendency indicates the extent of dispersion in data?
Which measure of central tendency indicates the extent of dispersion in data?
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What kind of variables can the median be used with?
What kind of variables can the median be used with?
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What characterizes the mode as a measure of central tendency?
What characterizes the mode as a measure of central tendency?
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How is variance related to measures of central tendency?
How is variance related to measures of central tendency?
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Which of the following is true regarding the mean for nominal variables?
Which of the following is true regarding the mean for nominal variables?
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What is the average revenue in 2016?
What is the average revenue in 2016?
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Which statement about the median revenue is true?
Which statement about the median revenue is true?
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What can be inferred from the decils mentioned?
What can be inferred from the decils mentioned?
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If data are distributed normally, what should be chosen for analysis?
If data are distributed normally, what should be chosen for analysis?
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When is it more appropriate to use the median instead of the mean?
When is it more appropriate to use the median instead of the mean?
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Which year had a median revenue of 20,930 €?
Which year had a median revenue of 20,930 €?
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What percentage of French individuals earn more than 39,130 €?
What percentage of French individuals earn more than 39,130 €?
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Which year had the highest average revenue according to the data provided?
Which year had the highest average revenue according to the data provided?
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What is the primary purpose of categorizing responses in qualitative analysis?
What is the primary purpose of categorizing responses in qualitative analysis?
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What is the first step in building a thematic grid for categorizing responses?
What is the first step in building a thematic grid for categorizing responses?
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In what manner should each category be labeled in a thematic grid?
In what manner should each category be labeled in a thematic grid?
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What action should be taken after selecting the appropriate category for a response?
What action should be taken after selecting the appropriate category for a response?
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During the coding process, what should you do before moving to the next response?
During the coding process, what should you do before moving to the next response?
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Why might one choose to select more than one category for a response?
Why might one choose to select more than one category for a response?
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What is a thematic grid primarily used for?
What is a thematic grid primarily used for?
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What is implicit in the need for building a thematic grid?
What is implicit in the need for building a thematic grid?
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What is the primary purpose of the verbatim function in Sphinx?
What is the primary purpose of the verbatim function in Sphinx?
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When should the coding function be utilized?
When should the coding function be utilized?
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What type of analysis can be conducted by comparing male and female responses?
What type of analysis can be conducted by comparing male and female responses?
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Which of the following is a limitation of using the verbatim function?
Which of the following is a limitation of using the verbatim function?
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What is an essential step in the coding process?
What is an essential step in the coding process?
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What is NOT a use of the verbatim function?
What is NOT a use of the verbatim function?
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What is one benefit of using keyword clouds alongside verbatim analysis?
What is one benefit of using keyword clouds alongside verbatim analysis?
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When conducting analysis by gender, what is an accurate outcome?
When conducting analysis by gender, what is an accurate outcome?
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What is the mean monthly spending given in the data?
What is the mean monthly spending given in the data?
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Which of the following options is NOT a method for modifying classes in the analysis?
Which of the following options is NOT a method for modifying classes in the analysis?
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What is the appropriate format for indicating the upper boundaries of classes?
What is the appropriate format for indicating the upper boundaries of classes?
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What is the median time spent on maintenance according to the data?
What is the median time spent on maintenance according to the data?
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Which statement correctly reflects how Likert scales are treated in social science?
Which statement correctly reflects how Likert scales are treated in social science?
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What is the mean time spent on maintenance reported in the content?
What is the mean time spent on maintenance reported in the content?
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Which of the following is a suggested approach for class boundaries in analysis?
Which of the following is a suggested approach for class boundaries in analysis?
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What is the median monthly spending provided in the data?
What is the median monthly spending provided in the data?
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For the purpose of analysis, what type of variable is a Likert scale considered to be?
For the purpose of analysis, what type of variable is a Likert scale considered to be?
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Which of the following best describes what Sphinx automatically creates during analysis?
Which of the following best describes what Sphinx automatically creates during analysis?
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What is the first step in the textual analysis process with open-ended survey responses?
What is the first step in the textual analysis process with open-ended survey responses?
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Which tool is used to synthesize information in categorical form during textual analysis?
Which tool is used to synthesize information in categorical form during textual analysis?
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When utilizing keyword clouds in textual analysis, what kind of responses are best suited for a single-word answer?
When utilizing keyword clouds in textual analysis, what kind of responses are best suited for a single-word answer?
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What visual representation is highlighted in keyword clouds during textual analysis?
What visual representation is highlighted in keyword clouds during textual analysis?
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In Sphinx, which type of variables appears when analyzing textual questions?
In Sphinx, which type of variables appears when analyzing textual questions?
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How can keyword clouds provide comparative insight according to participant sub-groups?
How can keyword clouds provide comparative insight according to participant sub-groups?
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Which step follows the identification of themes in the textual analysis process?
Which step follows the identification of themes in the textual analysis process?
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What is a keyword cloud primarily used for in textual analysis?
What is a keyword cloud primarily used for in textual analysis?
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What should a researcher do to analyze textual responses in Sphinx?
What should a researcher do to analyze textual responses in Sphinx?
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What type of variable can be created using the codification process in textual analysis?
What type of variable can be created using the codification process in textual analysis?
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Study Notes
Univariate Descriptive Statistics and Textual Analysis
- Univariate descriptive statistics are used to analyze data points from one variable at a time
- Measures of central tendency describe the typical or central value in a dataset
- Central tendency measures the extent to which data values cluster around a typical or central value.
- Four main measures of central tendency include mode, mean, median, and variance/dispersion.
- Mode is the outcome with the highest frequency in qualitative variables.
- Mean is the calculated average of all observed values in a sample.
- Mean is calculated by adding all observed values and dividing by the number of observations.
- Mean is suitable for quantitative variables but not for nominal data
- Median is the middle value separating the higher half from the lower half of a dataset.
- Median is less influenced by extreme values compared to the mean
- Example of using mean- mean size of households in France(2015)=2.23 people.
- Example of variables where mean can be use- How old are you?, What is your monthly income?, How much did you pay for your car?,Likert scale questions.
- Example of brands and unit sales- Levi's(259), Diesel(209), Guess(145), Energie(120), Gap(94), Pepe Jeans(76), Calvin Klein(61), Dolce&Gabbana(48), Armani(43)
- Frequency table is not usually created when there are a large number of outcomes.
- In Sphinx, variables identified with a symbol 74 represent numerical variables.
Mode
- Mode represents the most frequent value in a dataset.
- Mode is only applicable for qualitative variables.
Mean
- Mean is the average of all values in a dataset.
- Mean is sensitive to extreme values in a dataset.
- Mean is calculated by summing up all the values and dividing by the total count of values
Median
- Median is the middle value when the dataset is arranged numerically.
- Median is less sensitive to extreme values compared to the mean
Example
- Average revenue is systematically higher than the median revenue
Why Using the Mean?
- The number of outcomes is usually too large to create a frequency table
- This table has many items having only 1 or 2 respondents
- Mean is used for analyzing variables with numerical data, including open-ended questions where the answer is a number
In Sphinx
- For the analysis, click on 'Open Sphinx', open the 'Automobiles survey', check on "Go to Analysis" module and click on 'Go back to the analysis standard environment.'
- Click 'New Analysis' and select the 'Age of the car' variable to retrieve its frequency table and pie chart
Analysis of the Variable
- Sphinx automatically generates 'classes'. This is sometimes needed to manually adjust variables for greater meaning.
- Example statistics of analysis of a variable: Mean, Median, Standard deviation, Range
- For the 'Age of car' example; 87.5% of data points had the value 'Yes', while 12.5% had the value 'No'
Advantages/Disadvantages of Using Means
- Mean is easily understood by most people but using it can result in extreme values influencing calculations significantly.
- The wider the spread from the mean value, the more difficult it will be to analyze the distribution.
- The mean and median are helpful for describing a dataset in a succinct way.
Median
- Median is a useful statistic when there are extreme values in a dataset.
- Median divides the data to two equal parts
- Median is less sensitive to extreme values in a dataset
When to Use The Mean?
- If the data is normally distributed, use the mean.
- If the dataset has extreme values, use the median.
- Check the nature of the data to determine an appropriate measure
- The mean is calculated by dividing the sum of the values in the dataset by the number of values in the sample
Calculating the Mean
- The mean (x) is calculated by adding all observed outcomes (Xi) and dividing by the number of observations (n): x= ∑ Xi / n
Numerical Variables
- Numerical variables are commonly analyzed by presenting their descriptive statistics.
- In some cases, variables can be converted into ordinal variables by creating classes
Part II: Textual analysis
- Open-ended questions can generate textual variables, where outcomes consist of words, ideas, or sentences
- Sphinx provides tools to analyze both numerical and textual variables
What is Textual Analysis?
- Textual analysis is a method to transform textual data into categorical nominal variables
- Frequency of presence of certain topic or content can be counted within the survey
- Frequencies of textual data in nominal categories help in estimating frequencies and percentages
- Textual analysis can be used to identify themes and patterns
- Data analysts can identify recurring concepts or themes
The Textual Analysis Process
- Identifying concepts/themes/categories frequently appearing in answers to survey questions
- This involves identifying common themes or concepts from a sample of survey participants
- Creating categories or themes to classify the recurring answers
- Codifying survey participant responses based on identified categories
The Textual Analysis Process on Sphinx
- Use keyword clouds to summarize the data
- Using Sphinx's coding tool to develop categorical variables from the data
- Display the categorical variable results
Textual Analysis on Sphinx
- Use the 'Keywords Clouds', 'Verbatim', and 'Codification' functions for analysis of open-ended questions on surveys.
- Open survey, access 'Analysis'
- Click on 'New analysis', and select 'Textual analysis' to perform textual analysis
Adding a Category
- Modify the thematic grid using a pencil icon
End of Coding
- End of coding creates a new variable based on the thematic grid name (e.g. Ideal Car)
- This variable is a categorical variable and can be analyzed
Analysis by Context
- Sphinx allows for creating keyword clouds grouped by specific variables (e.g. men vs. women)
- By context, you can compare the keyword clouds of differing subgroups (e.g., men and women) within the same test group.
Coding Function
- Important coding function classifies responses into categories
- Each response is analyzed and categorized using predefined themes or categories, or a newly created one to accurately reflect the sentiment or topics discussed by survey participants/respondents, etc.
Steps in Coding
- Review survey results for common themes and concepts
- Create categories or themes to classify the responses
- Review all responses and categorize them with the predefined themes from step 2 (adding to/modifying these during this process is acceptable)
- Add new categories if required to ensure all responses are categorized accurately.
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Description
Test your knowledge on measures of central tendency, including the mean, median, and mode. This quiz covers key concepts, formulas, and appropriateness of each measure in various contexts. Perfect for students studying statistics or data analysis.