10 data collection methods, tools and techniques
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This document discusses techniques for secondary data collection, including evaluating sources, searching databases, web searches, government sources, and data mining. It describes how to evaluate sources based on their purpose, scope, authority, audience and format. When searching databases, it recommends selecting an appropriate database and constructing targeted search queries using Boolean operators. For web searches, it advises defining your question, selecting a search engine, and modifying searches as needed. The document also outlines sources of government information and techniques for data mining, including visualization, clustering, and association methods.
10 data collection methods, tools and techniques
- 1. Dr Raju Indukoori TOOLS AND TECHNIQUES OF SECONDARY DATA COLLECTION
- 2. CONTENT DR RAJU INDUKOORI 2 1. Evaluation of Sources 2. Searching Database 3. Web Search 4. Government Sources 5. Data Mining
- 3. 1. EVALUATING SOURCES DR RAJU INDUKOORI 3 The sources should be evaluated based on A. Purpose B. Scope C. Authority D. Audience E. Format
- 4. A) PURPOSE • what the author is attempting to accomplish • identify hidden agenda(s) • identify direction of bias • Seek both biased and unbiased sources
- 5. B. SCOPE • Identify dates of inclusion and exclusion • Identify subjects of inclusion and exclusion
- 6. C. AUTHORITY • Identify background of author • Credentials: educational, professional • Experience: duration, setting, level • Identify the level of scholarship in content • footnotes, endnotes
- 7. D. AUDIENCE • Identify knowledge level and background • Identify orientation and bias • Seek biased and unbiased sources
- 8. E. FORMAT • Order of content • Versatility of use • Indexed? • Searchable? • Downloadable?
- 9. 2. SEARCHING DATABASES DR RAJU INDUKOORI 9 Select an appropriate database ABI/Inform Business Info Suite Business Source Dow Jones Interactive Nexis-Lexis Universe Bloomberg Thomson Reuters
- 10. SEARCHING DATABASES DR RAJU INDUKOORI 10 Select an appropriate database Construct a search query
- 11. SEARCHING DATABASES DR RAJU INDUKOORI 11 Construct a search query Boolean Operators OR - for plurals, synonyms spelling variations woman OR women AND - narrows your search advertising AND bibliography NOT/AND NOT- eliminates terms award NOT trophy ADJ - order key terms within your search assisted ADJ living
- 12. SEARCHING DATABASES DR RAJU INDUKOORI 12 Construct a search query Boolean Operators ? or * - to truncate a term nur* for nurse, nursing “X” for phrase searching “advertising campaigns” Limiters dates source type language
- 13. SEARCHING DATABASES DR RAJU INDUKOORI 13 Select an appropriate database Construct a search query Review and evaluate search results Relevancy Quantity Timeliness
- 14. SEARCHING DATABASES DR RAJU INDUKOORI 14 Modify the search query Check bibliography new key words, other authors Link directly Adapt original search query Create new search query with new key words Search for other works by same author(s)
- 15. SEARCHING DATABASES DR RAJU INDUKOORI 15 Modify the search query Document findings Print or download search findings Download full-text source Print full-text source
- 16. SEARCHING DATABASES DR RAJU INDUKOORI 16 Modify the search query Document findings Retrieve or request articles Search online catalog Interlibrary loan Interlibrary delivery
- 17. 3. WEB SEARCHES DR RAJU INDUKOORI 17 Define your question Select Search Engine or Directory • Danny Sullivan’s • Search Engine Watch • www.searchenginewatch.com • Greg Notess” • Search Engine Showdown • www.notess.com/search/
- 18. CONTD.. DR RAJU INDUKOORI 18 Determine Search Options and Protocol Construct search query Review search results
- 19. CONTD.. DR RAJU INDUKOORI 19 Modify search query and search again Search using a different search engine Document your findings search findings full text sources Supplement web results from other sources
- 20. SPECIFIC WEB SEARCHES DR RAJU INDUKOORI 20 Known-Item Who Where What
- 21. 4. GOVERNMENT SOURCES DR RAJU INDUKOORI 21 • Government organizations • Laws, regulations, court decisions • Government statistics
- 22. MINING INTERNAL SOURCES DR RAJU INDUKOORI 22 Data warehouse Data mart Data mining Pattern discovery Predicting trends and behaviors
- 23. 5.DATA MINING TECHNIQUES DR RAJU INDUKOORI 23 Data Visualization Dimensions Measurements Hierarchies Clustering Neural Networks Tree Models Classification
- 24. DATA MINING TECHNIQUES (CONT.) DR RAJU INDUKOORI 24 Estimation Association Market-Basket Analysis Sequence Based Analysis Fuzzy Logic Genetic Algorithms Fractal-Based Transformation
- 25. DATA MINING PROCESS DR RAJU INDUKOORI 25 1.Sample 2.Explore 3.Modify 4.Model 5.Assess