Exploratory Research Design: Secondary Data. 4-2 Primary vs. Secondary Data Primary data are originated by a researcher for the specific purpose of addressing.

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Exploratory Research Design: Secondary Data

4-2 Primary vs. Secondary Data Primary data are originated by a researcher for the specific purpose of addressing the problem at hand. The collection of primary data involves all six steps of the marketing research process (Chapter 1). Secondary data are data which have already been collected for purposes other than the problem at hand. These data can be located quickly and inexpensively.

4-3 A Comparison of Primary & Secondary Data Primary Data Secondary Data Collection purposeFor the problem at handFor other problems Collection processVery involvedRapid & easy Collection costHighRelatively low Collection timeLongShort Table 4.1

4-4 Uses of Secondary Data Identify the problem Better define the problem Develop an approach to the problem Formulate an appropriate research design (for example, by identifying the key variables) Answer certain research questions and test some hypotheses Interpret primary data more insightfully

4-5 Criteria for Evaluating Secondary Data Specifications: Methodology Used to Collect the Data Error: Accuracy of the Data Currency: When the Data Were Collected Objective(s): The Purpose for Which the Data Were Collected Nature: The Content of the Data Dependability: Overall, How Dependable Are the Data

4-6 Criteria for Evaluating Secondary Data Criteria Issues Remarks Specifications & Methodology Error & Accuracy Currency Objective Nature Dependability Data collection method, response rate, quality & analysis of data, sampling technique & size, questionnaire design, fieldwork. Examine errors in approach, research design, sampling, data collection & analysis, & reporting. Time lag between collection & publication, frequency of updates. Why were the data collected? Definition of key variables, units of measurement, categories used, relationships examined. Expertise, credibility, reputation, & trustworthiness of the source. Data should be reliable, valid, & generalizable to the problem. Assess accuracy by comparing data from different sources. Census data are updated by syndicated firms. The objective determines the relevance of data. Reconfigure the data to increase their usefulness. Data should be obtained from an original source. Table 4.2

4-7 A Classification of Secondary Data Secondary Data Ready to Use Requires Further Processing Published Materials Computerized Databases Syndicated Services Fig. 4.1 InternalExternal

4-8 Internal Secondary Data Department Store Project Sales were analyzed to obtain: Sales by product line Sales by major department (e.g., men's wear, house wares) Sales by specific stores Sales by geographical region Sales by cash versus credit purchases Sales in specific time periods Sales by size of purchase Sales trends in many of these classifications were also examined.

4-9 Type of Individual/Household Level Data Available from Syndicated Firms I.Demographic Data - Identification (name, address, telephone) - Sex - Marital status - Names of family members - Age (including ages of family members) - Income - Occupation - Number of children present - Home ownership - Length of residence - Number and make of cars owned

4-10 Type of Individual/Household Level Data Available from Syndicated Firms II.Psychographic Lifestyle Data - Interest in golf - Interest in snow skiing - Interest in book reading - Interest in running - Interest in bicycling - Interest in pets - Interest in fishing - Interest in electronics - Interest in cable television There are also firms such as Dun & Bradstreet and American Business Information which collect demographic data on businesses.

4-11 A Classification of Published Secondary Sources Statistical Data GuidesDirectories Indexes Census Data Other Government Publications Fig. 4.2 Published Secondary Data General Business Sources Government Sources

4-12 InfoUSA: : Here, There, Everywhere InfoUSA ( markets subsets of its data in a number of forms, including the professional online services (LEXIS-NEXIS and DIALOG), the general online services (CompuServe and Microsoft Network), the Internet (look-ups), and on CD-ROM. The underlying database on which all these products are based contains information on 113 million residential listings and 14 million business listings, as of These are verified with over 16 million phone calls annually. The products derived from these databases include sales leads, mailing lists, business directories, mapping products, and also delivery of data on the Internet.

4-13 A Classification of Computerized Databases Bibliographic Databases Numeric Databases Full-Text Databases Directory Databases Special- Purpose Databases Fig. 4.3 Computerized Databases OnlineOff-Line Internet

4-14 Published External Secondary Sources Guides An excellent source of standard or recurring information Helpful in identifying other important sources of directories, trade associations, and trade publications One of the first sources a researcher should consult Directories Helpful for identifying individuals or organizations that collect specific data Examples: Consultants and Consulting Organizations Directory, Encyclopedia of Associations, FINDEX: The Directory of Market Research Reports, Studies and Surveys, and Research Services Directory Indices Helpful in locating information on a particular topic in several different publications

4-15 Classification of Computerized Databases Bibliographic databases are composed of citations to articles. Numeric databases contain numerical and statistical information. Full-text databases contain the complete text of the source documents comprising the database. Directory databases provide information on individuals, organizations, and services. Special-purpose databases provide specialized information.

4-16 Syndicated Services Companies that collect and sell common pools of data of known commercial value designed to serve a number of clients. Syndicated sources can be classified based on the unit of measurement (households/consumers or institutions). Household/consumer data may be obtained from surveys, diary panels, or electronic scanner services. Institutional data may be obtained from retailers, wholesalers, or industrial firms.