Chapter 8 | Search Engine Textual Database & Query Recognition Intelligence
- Search Intelligence
- Re-visiting Query Interpretations In Search Engine Textual Database
- Search Intelligence (Semantics Model)
- The Semantics of Keywords Replacement with Stemming & Lemmatization
- Variations of Semantically Similar Conversational Sentences
- The Semantically Similar Textual Query
- The Semantics of “Stemming” and “Lemmatization”.
- The Semantics of Keywords Replacement with Stemming & Lemmatization
- The Semantics of Applying a Person’s Names Diminutives
- Textual Query and Natural Language Recognition (NLP)
- Lexical barrier
- Syntax Level barrier
- Referential barrier
- Textual Database and Machine Learning Intelligence (MLI)
- Ranking and Relevance Explained by Google
- The Ranking, according to Google
- Web Page Authority
- Trustworthiness and Reliability
- Knowledgeability of the Source
- Web Page Popularity
- Summary Chart - The semantics of Intent, Context, Relevance, and Ranking in Intent Discovery
Chapter 9 | Query Intent Determination with Context
- The Context in Textual Search
- Applying Context to Search Phrase – Examples and Illustrations
- Query Context Types and Forms
- Primary Context and Secondary Context
- Explicit Context and Implied Context
- Types of Contextual Information
- Location as Context
-
- Influencers in Implicit Location Detection by Search Engine
- The behavior of Repeat Search Refinement Sessions
- Chart Showing Example of Repeat Search Sessions for Query Refinement
- Search History Context
- Short-term Search History
- Long-term Search History
- List of Typical Long-term and short-term history about search
- List of Information gathered by Search Browser
- Entity Relationships Context in Search Query Intent Refinement
- Seasonality as Context
- Location Context Results
- Browser Personalization
- Localization
- Marketing and Advertisement
- Trends and Search Patterns Data Correlate
- Summary Chart – Primary & Secondary Context - Explicit and Implicit Context
- Summary Chart – Textual Semantics & Auto-predicts
- Summary Chart – Intent Relationship to Primary and Secondary Context
- Summary Chart –[Intent, Context, Relevance & Predictive Search]
Chapter 10 | Search Assist & Predictive Search
- Search Assistive Tool
- Auto-complete Prediction of Search Terms
- Factors that may affect the Google Autocomplete Suggest
- Main advantages of Google “Auto-complete” in Web Search
- The “People also ask” in Google Search
- Google “Searches related to”
Chapter 11 | Search with Keywords & Phrase Search
- What are Keywords and Search Phrase?
- Keywords Match Types: Broad Search Vs. Narrow Search
- Broad Search Keywords
- Exact Match (Narrow or Precision Search) Keywords
- Primary and Secondary Keywords
- How to Create or Identify Primary and Secondary Keywords?
- Search Results with Modified Keywords and Search Phrase – Analysis of Primary Search Words
- Search Results Analyzed with Modified Secondary Keywords
- Building Keywords & Phrase for Search
- Core Elements of a Keywords Search Query
-
- The “Head”
- The “Modifier”
- The “Tail”
- Types of Search Query based on Search Query Phrase Structure
- Short Tail Keywords or Broad Keywords Query
- Long-Tail Keywords or Long Keywords Query
- The Advantage and Disadvantage of Long and Short Tails for Search
Chapter 12 | Introduction to Proximity Search Operators
- Meaning of Proximity Search
- Role of “Proximity Search” in Query Intent Translation
- Examples of Proximity Search with Google AROUND (#) Operator
- Truncation, or Wildcard with Symbol Asterisks *
- Types of Truncations
- The “Internal Truncation”
- The “End Truncation”
- Conditions and Advantages for using Asterisks (*)
- Practice Examples of How to use Wildcards (Asterisk) Truncations in Textual Search
Chapter 13 | Basic Search Operators – Booleans, Symbols, and Notations
- Introduction to Boolean Operators
- Boolean Logic
- Booleans Represented with Ven Diagrams
- The Boolean “AND”
- The Boolean “OR”
- The Boolean “NOT”
- Difference between Booleans and Symbols and Notations
- Boolean Logic Operators
- Notations and Symbols
- Introduction to Basic Search Query Building Units
-
- Boolean Algebra Laws when applied to search terms
- Commutative Law
- Distributive Law
- Absorptive Law
- Associative Law
- Operations of Basic Search Operators
- Boolean Operator AND or Plus + Sign
- Boolean Notations of Quotation Enclosed Terms
- Quotation marks used to build search phrase
- Quotation enclosed words used as absolute command for terms discovery
- Rules applied for using quotations marks enclosure
- Exception to the Rules applied for using quotations marks enclosure
- Search phrase Vs individual search words within quotes enclosed
- Phrase constructed with quotes and without quotes
- Google removes usefulness of Boolean AND, plus (+) Sign
- Examples of Substituting AND or Plus (+) with Quotation Enclosed Search Terms
- Boolean Operator OR and Vertical Bar [ | ] Sign
- Rules applicable in using Boolean OR
- Multiple phrases in search query with OR operator and NOT ( - ) sign
- Quick examples of Boolean OR operator applied in simple query strings
- Using parenthesis () with AND/OR in resolving search query for group comparisons
- Boolean Operator: NOT [MINUS “ - “ SIGN]
-
- Best use of Boolean “NOT” or Minus [-] sign
- Illustration of Using Boolean Operator NOT [MINUS “ - “ SIGN]
- Search with Notations & Symbols
- Using two dots [ .. ] for range and Dollar Sign [ $ ]
- Symbol of Hashtag [ # ] for social media search
- Search with Contextual Search Words
- Search with Recognized Contextual Alphanumeric Characters and Numbers
Chapter 14 | Introduction to Google "Advance Search"
- Precision Search Query
- List of Common Google Advanced Search Operators
- Understanding the Basic Structure of "Advanced Search Operators"
- Advanced Search Operator Structure
- Structuring Search Query String with Multiple Operators
- Rules for Queries with Advanced Operators - Part 1
- Mind your gaps between the search operator and the search terms
- When certain keywords and search terms have forced presence in search results
- Precision search results with search terms inside quotes Vs outside quotes.
- Search applies different combinations of words in a query strings if outside quotes.
- Search works better when words and search terms are linguistically meaningful.
- Search replaces alternate words in query strings whether inside or outside quotes.
- Rules for Queries with Advanced Operators - Part 2
- Changing placement (positions) of search phrase and keywords in search query.
- Search terms re-shuffling and re-arrangements
- Search may require further precision and query refinement as a multi-step process.
- When expanding query with multiple keywords and search phrase
Chapter 15 | Search for File Types and File Formats
- Indexable and searchable file formats
- What are file formats?
- List of searchable file types indexed by Google
- Frequently search file-formats – their purpose use and advantages for search
- Adobe PDF File
- Microsoft PowerPoint File
- Microsoft Excel Worksheets
- Microsoft Word Files
- Windows Note Pad
- Indexing of file formats in HTML Web Pages
- File Format Search with Operator filetype:
- Search query examples and illustrations with filetype:
- Ensuring the declared “property value” is a recognized file format for search.
- Search query string correct structure for search term placement with filetype: Search with two (2) or more terms using filetype: (one within quotes and another without quotes).
- Search for a filetype: and exclude another filetype:
- Search for two (2) different file types in a single search string
- Search for two (2) documents where PDF is has search priority over other formats.
- Searching for file formats without operator filetype:
- Making use of Colon Sign ( : ) to search without the word “filetype”.
- Different ways to build search query with colon ( : ) sign without property name (filetype)
- Search with colon ( : ) for unsupported file formats without property name (filetype)
- Alternative operator ext: to find file formats
- Structuring search query string with ext:
Chapter 16 | Searching Snippets – the Title, URL/Link &
- Elements of a Snippet
- Making of a Snippet Title, URL & Description
- Snippet Title Search with intitle: and allintitle:
- Difference between intitle: and allintitle for use in Search
- Illustrated examples of search with intitle: for Search
- Finds in subject title, famous names, words, people, and businesses
- Search query with intitle: used two (2) or more times with more than one terms
- Search with intitle: appear twice in a query string with two (2) or more search terms.
- Search query with minus sign placed directly to intitle: operator
- The operator can be used multiple times in a single search string with minus sign.
- When an intitle: search operator fails to execute
- When the Title is too short or too long
- When the Title of Web page is a part of a sentence and not exactly a title statement
- When an allintitle: search operator fails to execute
- Where another operator is added to the search query string
- When the operator is used more than once in a search query string
- Snippet Title Search with inurl: and allinurl:
- What is URL’s (Links)?
- Site Link Tag in HTML Code
- Understanding the Basic Structure of Snippet URL’s (Links )
- Search with inurl: and allinurl:
- Operator inurl: is used to find the Web page name (landing page title)
- The inurl: finds, domain names, any words (text), folder names and notations and symbols in URL stem
- Difference between inurl: and allinurl for use in Search – Illustrations
- Illustration and examples of inurl: used in search query
- Find info by link discovered words
- Search with intext: and allintext:
- What is the searched textual content of a Web page?
- Difference between intext: and allintext:
- Operation of an intext: operator
- List of HTML Tags queried by intext: operator
- Importance of reading “description” Tag during indexing process
- Text Matching within Meta Tag “description” using intext: Operator
- Text Matching within “body of text” using intext: Operator
- Headings, Captions and Para’s inside the entire body of the content page explained
- When searching for main headings, captions and deep inside of para’s on Web pages
- Use of intext: with separated terms in different para’s along length of entire page
- When intext: returns snippets with lengthy description pulled from different para’s
- When intext: returns different types of snippets in SERP’s of Chrome Browser
- Illustrated examples of operator intext: for Search
- Where the quotation marks play important role in search query with intext:
- Placing both search terms within quotes produces better results with higher precision
- Process of filtering out irrelevant words and forcing inclusion of a definitive word.
- Search query with intext: used more than once in same query string.
- Search query with more than one variable placed outside of intext:
- Search query with more than one search term placed outside quotes using intext: operator
- Improving search query results by moving quotation enclosed wordings used alongside intext:
Chapter 17 | Constructing a Domain Specific Search Query
- Simplified Search with site: Operator
- Removing certain domains from bringing result pages with site:
- Using multiple site: restrictions in same query string
- Find specific domain extensions with site:
- When querying with site: and keeping rest of the URL stem elements intact.
- Searching for News with site:
- Using site: to query long stem URL’s including sub-domains.
- Searching for an Article in Sub-domain of Large Sites
- Social Media accounts search with site:
- Search businesses and corporate info with site:
- Search blogs with site:
- Difference between using site: and inurl: when restricting search to specific domains.
- Where both operators, site: and inurl: produce similar or same results
- When both operators, site: and inurl: are applied in same search query
Chapter 18 | Other Advanced Search Operators & Search
- What is considered “Similar” pages? And how operator related: works to bring similar result pages?
- Similar attributes considered when using related: operator
- Example of query build with related:
- Functional similarities between using “Similar” option and related: operator.
- Useful Note - when using related: in search query
- Discovering the source of content displayed in the snippet
- Search in “Verbatim” Mode
- Working with “Cache” pages queried with cache: operator
- Scraping the Internet for specific links using query operator link:
- Using info: to find links using query operator link:
- Google Date-range Operator after: & before:
Chapter 19 | Find Names, Email, Contact, Telephone, Opportunities, Jobs and Resumes
- Search for a person’s email address
- Email tools that find and verify email addresses
- Email permutator tools
- Temporary email addresses creation tools
- Email address validation tools
- Search contact info of person where full name is unknown
- Search with/for telephone number of an individual
- Search for individuals contact details to gather leads
- Email Search Software’s – For Leads Collections
- Personal Information & Background Check Software’s
- Search for person’s name when masked by same name of a famous person - explained with illustration and search
- query examples
- Applying Contextual Search Query
- Example of Building a Contextual Search Query by Creating Relationships
- Using Proximity Search Operators
- Search for person with an unknown full name and limited context
- Perform Images Search for Profile Picture
- Alternate Search When Image is NOT AVAILABLE
- Search for a Person’s Professional Relationships with Others in Business Domain
- Perform Proximity Search of Person Being Searched and their Acquaintances
- Perform Images Search for Profile Picture
- Alternate Search When Image is NOT AVAILABLE
- Search for a Person’s Professional Relationships with Others in Business Domain
- Perform Proximity Search of Person Being Searched and their Acquaintances
- Search Person’s Work References with File Types
- Search Person’s Name by Querying their Physical Location
- Search to locate email contact if the subject’s employer is known
- Search for employment opportunities and contract work
- Avoiding false-positive in looking for job’s vs recruitment agencies, recruiter’s and excludes resume samples
- Searching for jobs, contract opportunities resumes for HR procurement
Chapter 20 | Business & Industry Search – Competition, B2B Leads, Product & Services info
- Search people in businesses for contact and business-related information
- Search by job titles in govt, education institutes and organizations
- Search by job titles in a named business for contact information
- Search for sales leads with job titles found inside specific file formats
- Search for lists published online in HTML and other file formats
- Search for information on court cases, judgments, acts, and citations for a business or a client
- Find court cases
- Find legal acts, clauses, and citations
Chapter 21 | Search property, ownership, rental, for sale properties
- Property value, ownership, rent, and related information
- Property liens, delinquencies on record
- Property available for rent and Airbnb inventory listed premises
Chapter 22 | Search for News, Articles, Blogs, Groups, Forums, Books, Journals & Research Papers
- News and Articles Search in Google Chrome
- Search in “News” Mode
- Neutralizing News Bias by Browser Adjustment Options
- Google search queries for News and Internet published Articles
- Search for News and Articles by title, subject, or topic of interest
- Impact of incorrect operator’s selection and style of date structure
- Search for News and Articles by News Source and Author
- News Story Date and Time Stamp
- Conventions for writing “Dates, Months, Years, Days of the Week” in the search query
- Establishing “Dateline”
- The “Time” Convention
- The Key Elements of Time-Date Stamp in Internet Publications
- Month, date, year and time
- Two Timestamps in Internet Published News Story
- Importance of Location and Time-Date Stamp in Electronic Media
- Time Stamp in the same News Story found inside the NYT article with a known Publishing Date
- Online Published Posts and News Story Articles Date-time Stamp
- Web Page Indexing date
- Web Page Cache Date
- Illustration of finding news article date using “Cache”
- Web Page Publication date
- Restricting News Search Regionally
-
- Geo-Location of Browsing with Changing the URL’s
- Using Browser Adjustment to change default locations
- Impact of Browsing for News in Different Languages
- Reference Chart: Time Stamp Protocols & Procedures for News Wires
- Search for Information pages in Blogs & Groups
- Search in Blogs
- Difference in using OR [|] between textual terms and advanced operator linked term
- Finding blogs with inurl: in combination with date range operations
- When search terms attached to advanced operators are not visible in snippets or landing pages but still exists concealed on the snippet pages code-side.
- When search snippet URL did not reveal presence of the word forced with inurl:
- When search snippet URL did not reveal presence of the word in landing pages content
- When search fails to execute due to an error of using singulars and plurals in search terms
- Search in Social Groups
- Search in Facebook Groups
- Groups searched inside of Facebook.com domain
- Search in Facebook Groups with restriction to country and language
- Groups searched inside of Facebook.com domain that represents a certain industry
- Groups searched inside of Facebook.com domain for a representative group of an industry
- Groups searched inside of Facebook.com domain that represents a company
- Search in LinkedIn Groups
- Search for Specific Groups of Interest
- Search Journals & Research Papers
- Search in Professional Journals
- Search in Research Papers
- Search queries to find citations and authors
- Search for Books, Authors & Literature
- Search Books, e-Magazines, e-Publications
- Search Literature, Excerpts, Speeches Etc
Chapter 23 | Searching for Products, Reviews, Opinions, Ratings, Reputation & Facts
- SEARCH SPECIFIC GOODS AND SERVICES
- Find products within specs and price ranges
- Find products within stores and locations using price range and zip codes
- SEARCH FOR PROFESSIONAL SERVICES BUSINESSES
- SEARCH PRODUCT AND SERVICES REVIEWS, OPINIONS AND REPUTATION
- COMPARE PRICES AND FIND DISCOUNTS AND COUPONS
Chapter 24 | Internet Information Sources
- What is Internet Information?
- Libraries Vs. Information on the Internet
- Information Overlaps and Lost Opportunity Cost in Libraries vs. Internet
- Comparing Search Engines Vs. Library Database Systems
- Information Plan
- Information Planning – Outline
- Information Requirements by Industry, Market, Audience, and Research Subject
- Who Needs Research?
- Academic Research
- Non-Academic Research
- Corporate, Business & Industry
- Information Businesses
- Professional Associations
- Scientists Community
- Governments
- International Agencies
- Information Distinction based on its Originality and Proximity to its Source
- Different Forms of Information
- Background Information
- In-depth Information
- Quick Facts Reviews
- Real-time Information [Information Traps]
- Information Discovery (or Investigative Information)
- Knowledge Discovery (in Trends & Predictions)
- Big Data Information (Unstructured Raw Data)
- Analytical or Statistical Data [Polls, Census, Surveys, Statistics]
- Groups or Communities, Blogs, Articles and Opinions
- Traditional Sources of Information
- Books [Ref, Facts, Fic, Tech]
- Periodicals: Scholarly Journals, Trade Magazines, Peer Reviews & Newspapers
- Periodicals
- Scholarly journals
- Peer-Reviews
- Newspapers
- Seminars, Webinars, and Lectures
- Print Medium
- Digital Media [Localized and Non-Internet]
- Online Information Database [Includes Internet]
Chapter 25 | Information of the Deep Web
- The Visible Web
- The Two Layers of Visible Web
- Layer 1 - The “Common Web”
- Layer 2 - The “Surface Web”
- The Deep Web (Hidden Web or Invisible Web)
- The Dark Web
- Future of Deep Web – What to Expect?
- Virtual Private Networks (VPN)
- Visual Chart - Internet Web Information Divide – [Visible Vs. Deep Web]
Chapter 26 | Internet's Free Information Verification
- Free Information and Copyrights
- Authored Content of the Web
- Creative Commons
- Software Use (Open-Source Software)
- GNU and GPL (General Public License)
- LGPL (Lesser General Public License)
- BSD License
- Evaluating, Verifying and Authenticating Internet’s Free Information
- Author Verification
- Purpose of Information in Review
- Information Objectivity Evaluation
- Accuracy of Information
- Reliability and Credibility of Information Presented
- Currency of Time
- Verification of Links
Chapter 27 | List of Internet Information Sources
- Search Results Aggregator (Meta-crawlers)
- The Specialized Search Engines
- Customized Meta-Search Engine
- Specialized Content Search Engines
- Based on Information Contribution
- Public Contributions
- Private Contributions
- Proprietary Search Engines
- Searchable Directories
- Public Directories
- General Public Directories
- Subject-Based or Domain Specific Public Directories
- Private Directories
- Searchable Deep Web
- Guest Registration
- Subscriptions (Paid or Free) Websites
- Membership Websites (Paid, Honorary or Free)
- Anonymous Browser for Deep Web (TOR Web Browser)
- Statistics and Opinions Websites
- International Organizations
- Inter-Governmental Organizations (IGO)
- Government Gateways or Government Resources
- Regional Data Collection Divide and Hierarchy of Government Collaborations
- Regional Cooperation [North America – USA, Canada and Mexico]
- Government Departments
- Third World Countries Census Reliability Issues [Case Illustrated]
- Use Case Example – South Asia
- Non-Profit Agencies
- Sectors Covered by NGO’s
- NGO’s Information Data Types Collected [Regional and Global Levels]
- Market Research Agencies
- Online Automated Data Collectors (“Bots Software.”)
- Information from Public Records
- Restricted Information from Public Records
- People Search
- Information Archives Online
- Public Reviews Websites
- Business to Consumer (B2C) & Business to Business Reviews (B2B)
- Product Reviews by Specialists
- Computational Portals and Mathematical Knowledge
- Virtual E-Markets for E-Commerce – Price & Product Info
- Web Directories
- Wiki’s
- Biographies (Other Than Wiki)
- Online Libraries (Books, Journals, Magazines, Research Papers)
- News Aggregators
- Top Meta Crawlers [Processed News Search Engines]
- Top International News Agencies Web Portals (Source of Direct News)
- Journals & Articles Information Sources
- Online Open Library Search
- General Blogs Portals & Search Engine
- Subject Blog Websites and Portals
- Top Technology Blogs
- Top Medical Related Blogs
- Top Legal/Law Blogs
- Top Science Blogs
- Social Media Search
- Document Format Specific Search
- The Image Search
- Image Search Engines
- Keyword Searchable Images
- Reverse Image Search
- Hybrid of Keywords and Reverse Image Search
- Videos Search - Search Engines
- Informative Video Search Engines
- Document Format Search Engines for PDF, DOCX, XLS, PPT
Chapter 28 | Internet Information Research Challenges
- Introduction
- Definition of Internet Research:
- Professional Online Research Types
- Free Form Internet Research (Exploratory)
- Target Data Access (Navigational)
- Online Data Collection
- Social Media Research
- Internet-based Collaboration Research
- Consumer Insights, Trends, and Behavior via Browsing Data Collections
- Advantages of the Internet for Research
- Large Data Samples Available
- Facilitates Social Science Research
- Ease of Automated Testing & Experimentation
- High Availability of Information Resource
- Dynamic Updates
- Fills-in the Gap of Library Information Source
- Easy to Obtain Larger Sample/Polls
- Internet Research Challenges of Digital Data
- Easy and Fast Information (“Haste Makes Waste”)
- Information Timelines
- Information Context
- Predictive Technology in Search Engines
- Region Specific Default Browsing (Internet Filter Bubble)
- The Net Neutrality
- Complex Legal Issues
- Cyber Vandalism and Online Information Sabotage
- Corporate Advertisements
- Tabloids and Magazine Sites
- Religious Beliefs
- Political Material
- News Media
- Propaganda Groups
- Technology Misuse
- False Reviews
- Raves and Rants
- False Surveys and Polls
- Self-entitlement of Opinions
- Consequence of Rapid Internet Spread
- Ghost Writers on Internet Forums
- Data generalizability with Internet research
- Human Subjects & Privacy
- Protection of Human Subjects
- Potential Risk for Participants in Internet Research
- Question of Informed Consent
Chapter 29 | Research Planning
- Research Planning – Introduction
- Research Work Assessment and Approach
- Building Understanding of Clients Perspective
- Scoping the Research Project
- Defining a Research Topic
- Identify Research Problem
- Identifying the Primary Audience
- Identify Information Types and Source
- Information Needs of Research Project
- Information Delivery Mediums
- Print Medium and Digitized Information
Chapter 30 | Online Data Types, Collection & Sampling
- Introduction to Data Types
- Data Collection and Data Analytics Chart
- Data Collection
- Basis or Approach to Data Collection
- Qualitative Data
- Quantitative Data
- Mixed Method Approach
- Data Collections According to Qualitative, Quantitative or Mixed Approach
- Observations
- Surveys and Polls
- Interviews
- Focus Groups
- Document Studies
- Case Studies
- Data Types
- Quantitative Data Types
- Continuous Data
- Discrete Data
- Qualitative Data Types
- Nominal Data or Unordered Data
- Ordinal Data
- Interval Data
- Ratio Data
- Data Sampling Methods
- Probability Sampling Techniques
- Simple Random Sampling
- Stratified Sampling
- Systematic Sampling
- Cluster Sampling
- Multi-Stage Sampling
- Multi-Phase Sampling
- Non-Probability Sampling Techniques
-
- Convenience Oriented Sampling
- Purposive Sampling
- Quota Based Sampling
- Snowballing Sampling
- Volunteered Sampling
- Data Analysis, Methods and Techniques
- Data Analysis - Introduction
- Data Analysis Planning – Overview
- Example of Data Analysis Plan
- Quantitative & Qualitative Data Analysis
- Analyzing Qualitative Data
- Types of Qualitative Data Analysis
- Analytic induction
- Grounded Theory
- Qualitative Data Analytics
- Coding
- Memoing
- Integrative Diagrams and Sessions
- Analyzing Quantitative Data
- Statistical Methods in Quantitative Data Analysis
- Measures of Central Tendency - Mean, Mode, Median
- Measures of Variability/Deviation
- The Standard Deviation
- Relative Changes or Proportionate Percentages Measurement
- Events and Data Frequency Measurement
- Univariate, Bivariate and Multivariate Analysis
Chapter 31 | Information Reliability & Associated Risks
- Information Reliability & Quality
- Credentials of the Author
- Footnotes and Bibliography
- Observing the Objectivity and Accuracy of a Website
- Check for the Logical Consistency in the Material/Content
- Information Ready Access & Availability
- Relevance of Information
- Cost of Information Vs. Benefits
- Time Sensitive Information
- Information Handling Risks
- Frequency of Information Changes
- Security of Information
- Information Involves a Human Subject
- Information use that is an Intellectual Property
- Deriving Inferences and Interpreting Research Results
- A short example of Non-Statistical or Qualitative Inference Derivation:
- Drawing Conclusions and Project Final Deliverables
Chapter 32 | Online Data Collection Methods
- Online Surveys, Interviews, Focus Groups, Ethnography, Clinical Trials and Experiments
- Surveys and Polls
- Difference between Surveys and Polls
- Where and when to apply Surveys and Polls?
- What are a Survey Questionnaires?
- Survey Questionnaire Types – Chart
- Methods of Preparing an Effective Questionnaire for Survey
- Survey Question Types
- Closed-ended Questions
- Types of Closed-Ended Questions
- Dichotomous Questions
- Multiple Choice Questions
- Rating Questions
- Likert Scale Questions
- Semantic Differential Scale
- Ranking Questions
- Checklist Types of Questions
- Fill-in-the-Blank
- Open-ended questions
- Advantages and Disadvantages of Questionnaires
- What are the Interviews?
- Online Interviews
- Surveys According to the Span of Time Involved
- Cross-Sectional Surveys
- Longitudinal Surveys
- Preparing the Survey
- Selecting a Sample
- Surveys for Reporting
- Methods of Survey Administration
- Paper Surveys
- Mobile Surveys
- Web Surveys
- Guide for Improving Response Quality and Audience Participation
- Online (virtual) Focus Group Discussions (FGDs)
- Online (virtual) ethnography
- Online clinical trials
- Web-based experiments (Internet experiments)
- Internet Surveys - Advantages and Disadvantages
- Internet Surveys Advantages
- Cost Effectiveness
- Automation and Real-Time Access
- Conserves Time and Effort
- Convenience for Respondents
- Design Flexibility
- No Interviewer
- Internet Survey Disadvantages
- Limited Sampling and Respondent Availability
- Possible Cooperation Problems
- No Live Interviewer Required
