8 – Available Data
Why Should I Care?
Many – if not most – researchers are producing reports based on data that was collected by someone else. This is convenient because it saves time and money. But it is also tricky because there may be gaps or errors in the data that the end-use researcher is not aware of. If you
Usefulness
The point of this is to use data that already exists. EspeciallyUsing Available Data is especially easy if you download thea data set from a website on the internet. Government statistical agencies, such as Statistics Canada, are obvious go-to sources of Available Data. However there are many, many more sources, such as government websites, corporate filings, and even police reports.
This method is especially useful because you can use many data sets together. If the data sets have a common variable, you can merge them together into one database.
Much of the dataAvailable Data on the internet or in libraries is collected for onea pre-determined purpose, but researchers can crossuse datasetsthem for other purposes, and also merge data sets together, andso that they can analyze all sorts of information in ways that were not necessarily meant to be.
Available data is often times quantitative in nature, but can also include many qualitative elements. For example, a yearly annual report published by an organization may be a good source of available qualitative data. It might even include facts or opinions that individuals would not feel comfortable to share in an interview. In the world of business, much of this qualitative data is available in legal filings that publically-owned corporations must divulge. This includes risk assessments and management strategy which are wholly qualitative in nature.
Merging Three Data Sets Into One
For example, if you have the telephone listings such as a business phone book, or a directory, you usually have many bits of information such as company name, address, telephone number and postal code.
Using a geographical information system (GIS) database, you can associate postal codes to a geography, such as longitudes and latitudes.
Using a third database with company information, including sales, profits, and number of employees, you now have a complete data set with company data that you can map using computers.
To merge the data sets, you will need strong software, such as R, Python, MS Access, or SPSS. MS Excel can work, but only if the number of lines of data is less than 1 million.
In this example, start by merging with the phone book and the GIS, using Postal Codes as a common variable.
Then you can merge the financial information to the rest, using Company Name as the common variable.
You will have to explain this in the methodology section of your paper, citing all three data sets.
Objects of Measurement
Type of Object |
Yes |
No |
Maybe |
Data Source |
Personal Characteristic |
X |
|
|
StatsCan Age Figures |
Socio-Demographic Characteristic |
X |
|
|
StatsCan Language Figures |
Opinion |
X |
|
Political Polls in Media |
|
Motivations |
|
X |
|
Do an Interview |
Ideology |
|
|
X |
Do an Interview |
Biases / Prejudice |
|
X |
Frequency of Hate Crimes, Police Records |
|
Preferences |
|
X |
|
See results of prior Natural experiment |
Personal History / Background |
|
X |
|
Do an Interview, Unobstrusive Measrmt |
Family Dynamics |
|
X |
|
Do an Interview |
Cultural History |
|
|
X |
Do an Interview |
Perception / Self-Perception |
|
|
X |
Do an Interview |
Aptitude /Ability |
|
X |
|
School math tests / World rankings |
Behaviour |
X |
|
|
|
Level of Knowledge |
X |
|
|
School tests |
Sources of Available Data
Source Example
Corporation’s Annual Report Annual Sales ($), Profits, Expenditures
Statistical Agencies Census Program, Labour Force Survey
Lobbies and Associations Association of Canadian Petroleum Companies
Public Registers Indian Registry, Gun Registry, Dangerous Criminals,
Public Institutions Annual Reports by Police, Schools, Hospitals, etc.
Sampling
CollectionSince data collection is already done.done, Thethe researcher has tomust live with the sampling technique, and its flaws, that the previous researcherresearcher/organization has chosen and used.
Operationalization of variables can be difficult.a challenge. Some phenomena are hard to measure, but can be observed indirectly. CarefulOne should be careful in the interpretation.
For innovationexample, measuredif inyou patents.wish Lotsto measure innovation, your only source of data is a patents data sets. This is an issue because lots of innovations are kept secret, but we don’t know how many sinceof theythem are secret.secret, since the company behind the innovation wants this to be confidential.
Instruments
No instrument. Data is previously collected. Usually survey.
Scientific Power
Exploratory: can be. If you don’t know what you are looking for, you can draw graphs for fun to look for stories.
Descriptive: most likely. You will associate variables, using tables and graphs.
Explanatory: can be done. Tread lightly. The variables that don’t correlate can be eliminated. Those that do correlate will be kept. However, be sure to establish temporal order first, that will determine the cause-effect relationship.
Steps
- Find data source
- Download
- Analyze, Interpret and Report
Advantages
- Fast
- Lots of quantitative
- Allows more time for analysis of data
Disadvantages
- Methodology faults may be hidden
- Operationalization can be difficult
- Gaps in data may exist
Reporting
Tables & Graphs
Spatial Maps
Descriptive Text
Synthesis Tables
Preferred Disciplines
Economics, Sociology, Geography, Political Science
Other Non-scientific Disciplines
Applications in Journalism, NGO reports and memoirs, lobby group analysis papers, marketing, geographic advertising, Legal Due Diligence, Crime investigation
Not so useful for
Historians, Psychologists, Anthropologists