Horses of Many Different Colors with WordStat April 28, 2020 - Blogs on Text Analytics

 

To paraphrase the theme song of a 1960s U.S. TV show Mr. Ed, A horse is a horse of course, of course, and no one can find so many horses unless, of course, you are using WordStat! (inspired by original lyrics by Jay Livingston). See Video on YouTube.

WordStat and QDA Miner software have been and are being used to author academic papers across many disciplines, veterinary medicine, political science, agriculture science, healthcare, tourism, market research, social science, and many others. What do many of these papers have in common? Mr. Ed? That would be nice, no, but horses do show up a lot. There are pages of references to horses and WordStat in google scholar. Here is a quick look at this equine extravaganza.

As you would expect, there are many veterinary studies. On an initial search of horses and WordStat there more than two dozen papers examining various horse-related medical issues. We have highlighted a sampling.

Hammersley, E., Duz, M., & Marshall, J. F. (2015). Clinical Research Abstracts of the British Equine Veterinary Association Congress 2015. Equine veterinary journal, 47, 24-24.

Jones-Diette, J. S., Dean, R. S., Cobb, M., & Brennan, M. L. (2019). Validation of text-mining and content analysis techniques using data collected from veterinary practice management software systems in the UK. Preventive veterinary medicine, 167, 61-67.

Lam, K, Parkin, T., Riggs, C. & Morgan, K. (2007). Descriptive analysis of retirement of thoroughbred racehorses due to tendon injuries at the Honk Kong Jockey Club (1992-2004). Equine Veterinary Journal, 39(2), 143-148.

Oswald, J., Love, S. Parkin, T.D.H., & Hughes, K.J. (2010). Prevalence of cervical vertebral stenotic myelopathy in a population of thoroughbred horses. Veterinary Record, 166, 82-83.

Parkin, T. D. H., Brown, J., & Macdonald, E. B. (2018). Occupational risks of working with horses: a questionnaire survey of equine veterinary surgeons. Equine Veterinary Education, 30(4), 200-205.

Vet papers are to be expected, but what about food and food safety? How is that horse related? Well, in this next paper it is, and it isn’t.

Tse, Y. K., Zhang, M., Doherty, B., Chappell, P., & Garnett, P. (2016). Insight from the horsemeat scandal. Industrial Management & Data Systems.

The study includes a direct horse reference, but it is a study of tweets about the horsemeat scandal of 2013 in the UK. The paper presents a progressive tweet-mining framework that can serve as a tool for academia and practitioners in crisis management. The proposed framework indicates the significant importance of timely categorizing of topics, identifying the sentiment of tweets, and understanding the changes of consumer opinions over time in a crisis.

How about this horse reference: “Leather, Barnyard, Horse and Hay”? These are descriptive terms of wine in a region of Australia.

Souza Gonzaga, L., Capone, D. L., Bastian, S. E., Danner, L., & Jeffery, D. W. (2019). Using Content Analysis to Characterise the Sensory Typicity and Quality Judgements of Australian Cabernet Sauvignon Wines. Foods, 8(12), 691.

The horse in this paper is on your plate! Spoiler alert, this isn’t a study of modern Turkish cuisine.

Çakmak, M., & Sarıışık, M. (2019). An Investigation on the Basic Contents of the Main Dishes of the Turkish Cuisine. Anais Brasileiros de Estudos Turísticos-ABET, 9(1, 2 e 3).

A look at sustainability and the impact of family control in businesses uses Kicking Horse Coffee as part of the study.

Richards, M., Zellweger, T., & Gond, J. P. (2017). Maintaining moral legitimacy through worlds and words: An explanation of firms’ investment in sustainability certification. Journal of Management Studies, 54(5), 676-710.

Then there are the horse references of the political kind or perhaps should we say coming from the horse’s mouth. Discussions of horses in this paper, and in many others, are related to the “horse-race” coverage of political campaigns.

Johnson, T., & Socker, E. (2012). Actions, Factions, and Interactions: Newsworthy Influences on Supreme Court Coverage. Social Science Quarterly, 93(2), 434-463.

There are papers on market research using terms such as “horse-and-buggy” form of advertising.

McMillan, S. J., & Childers, C. C. (2017). A Decade of Change and the Emergence of Digital Media: Analysis of Trade Press Coverage of the Advertising Industry, 2005–2014. Journal of Interactive Advertising, 17(1), 51-64.

Real horse races looking at the effects of gambling.

Alam, M. A. U., & Kapadia, D. (2020). LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment. arXiv preprint arXiv:2003.07433.

And references to horse riding in studies of tourist activities.

Vicol, O., & Zait, A. (2014). A country’s image as tourist destination for external intermediaries. Management & Marketing, 9(1), 47.

Clearly, when looking for horses and WordStat, key-word-in-context (KWIC) is essential. And while there is a lot of data out there on horses, horse races, stalking horses, kicking horses, dark horses, two-horse races, trojan horses we can’t find any study of Mr. Ed! It is still to be done, or maybe, it would just produce a load of horse hockey!

To see hundreds of other papers written with the aid of WordStat and QDA Miner about health care, management, social studies, logistics, nursing, library studies, public policy, politics, human resources, market research, and many other subjects go to the Solutions section of our website. Saddle up, and you can probably find a few more horse references too!