Descriptive Statistics

Erik Mooi, Marko Sarstedt () and Irma Mooi-Reci
Additional contact information
Erik Mooi: University of Melbourne
Marko Sarstedt: Otto-von-Guericke-University
Irma Mooi-Reci: University of Melbourne

Chapter 5 in Market Research, 2018, pp 95-152 from Springer

Abstract: Abstract We first provide an overview of market research’s workflow. We then discuss efficient strategies to help you structure your project’s database, as well as enter, clean, and easily check the collected data for inconsistencies. In addition, we provide easy strategies that allow you to handle missing data observations before we describe the most common and useful univariate and bivariate descriptive graphs and statistics. Thereafter, we take you through the basics of Stata, including its toolbar and shortcuts to frequently used commands, and provide useful tips on how to create and interpret descriptive graphs and table outputs. A range of descriptive statistics is illustrated and applied in Stata, including bar charts, histograms, box plots, pie charts, frequency tables, scatter graphs, crosstabs, and correlation tables, all of which are useful for differently scaled variables. We make use of a case study for an easy and meaningful interpretation of the graphs and table outputs. We conclude with recommendations for further readings and a case study with review questions.

Keywords: Acquiescence; Aggregation; Bar chart; Bivariate statistics; Box plot; Codebook; Construct score; Correlation; Covariance; Crosstabs; Data entry errors; Dummy variables; Extreme response styles; Frequency table; Histogram; Inconsistent answers; Index; Interquartile range; Interviewer fraud; Item non-response; Line chart; Listwise deletion; Little’s MCAR test; Log transformation; Mean; Measures of centrality; Measures of dispersion; Median; Middle response styles; Missing (completely) at random; Missing data; Multiple imputation; Non-random missing; Outliers; Pie chart; Range; Range standardization; Reverse-scaled items; Scale transformation; Scatter plot; Skewed data; Stata; Standard deviation; Standardizing variables; Straight-lining; Survey non-response; Suspicious response patterns; Transforming data; Univariate statistics; Variable respecification; Variance; Workflow; z-standardization (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sptchp:978-981-10-5218-7_5

Ordering information: This item can be ordered from
http://www.springer.com/9789811052187

DOI: 10.1007/978-981-10-5218-7_5

Access Statistics for this chapter

More chapters in Springer Texts in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().