Karteikarten
Univariate Analysis
Karten in diesem Stapel (15)
- 1Types of numbers
- 2Types of dataNominal Data:
Responses belong to a particular category e.g. male or female
Original Data:
Responses belong in a particular order (Cannot state the distance between each selection is equal)
e.g. what place did you come in a race? (1st, 2nd, 3rd etc.)
Interval Data:
The responses are ordered. However, we can assume the distance between responses is equal
Ratio Data:
- Natural starting point of zero e.g. time, degrees etc.
(further e.g. a person’s weight; the number of pizzas I can eat before fainting) - 3Preliminary AnalysesMake friends with your data.
– Wrigh, 2003
• Descriptive statistics
• Cleaning the data
• Using graphs to describe and explore data • Checking the reliability of a scale*
• Choosing the right statistic - 4Descriptive descriptions
- 5The importance of 'n' and frequencies
- 6Measures of central tendency
- 7Measures of dispersion
- 8Missing data• When no value is stored for an observation (someone does not answer a question).
• This can have an impact on the conclusions that can be drawn from the data.
• This needs to be accounted for in your analysis by ‘cleaning’ the data. This may mean substituting another figure.
Example: you have a 1-7 scale and 3 out of 56 people do not respond to that question. In the place of a blank response you would then place a ‘9’ or a ’99’ and set the missing response in the variable description. - 9Charts and graphs
- 10Pie chart
- 11Line graph
- 12Bar chart
- 13Scatter graph
- 14Histogram
- 15Choosing the right statistics1. What questions do you want to address?
2. Find the questionnaire items and scales that you will use to address these questions
3. Identify the nature of each of your variables
Informationen
- Beschreibung
- International Marketing Research Karteikarten am Univariate Analysis, erstellt von Abigail Cullis am 28/07/2016.
- Erstellt von
- Abigail Cullis
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