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1WR provides research based consultancy and training in the following areas:

Creative consultancy >Idea creation sessions or consultancy for new product development. >TrendSetters internal development >Future markets consultancy >Portal for product creations

Management consultancy >Providing advice on how intelligence can be demanded, used and shared among marketing non research teams. >Assess usage and cost return of research and various methodologies. Optimize research to provide added alue to your organization versus competitors

1WR Market Research Tutorials contents are indicated below. These were designed to help users of insights undestand how market research is gathered and analysed. We also provide bespoke training materials / support services.

Market Research Basic Concepts
   1.   Introduction
   2.   Problem Definition
   3.   Secondary Data Acquisition or Desk Research
   4.   Research Design
   5.   Some Fundamentals of Experimentation
   6.   Communication vs. Observation
   7.    Human Electromechanical Observation
   8.   The Depth Interview
   9.   The Focus Group Discussion
   10.   Projective Techniques

Data Collection
   1.   Data Collection
   2.   The Mechanics of Communicating with Respondents
      2.1.   History of the Trade
      2.2.   Telephone Interviews
      2.3.   In-person Surveys
      2.4.   Mail Interviews
      2.5.   Electronic Surveys
   3.   Comparative evaluation of survey techniques
      3.1.   Criteria
      3.2.   Strengths and Weaknesses of Various Approaches

Qualitative Studies
   1.   Definition of the family
      1.1.   Marketing Areas Eligible for Qualitative study
      1.2.   Main varieties
   2.   Individual in-depth interviews
      2.1.   Given Information
      2.2.   Method description
      2.3.   Qualitative Interview Rating
   3.The Focus Group Discussions
      3.1.   Given Information
      3.2.   Method description
      3.3.    Group Rating
   4.   Projective Techniques
      4.1.    Association Techniques
      4.2.   Completion Techniques
      4.3.   Construction Techniques
      4.4.   Expressive Techniques
   5.   Ethnographic Research
      5.1.   Aims of Ethnographic Research
      5.2.   The Ethnographic Approach
      5.3.   When to Use Ethnography
      5.4.   Problem Associated with Ethnographic Observational Studies
   6.   Qualitative Data Analysis
      6.1.   The Process of Qualitative Data Analysis
      6.2.   The Grounded Theory
      6.3.   Semiotics
      6.4.   Computer Assisted Content Analysis

Questionnaire Construction
   1.   Questionnaire construction
      1.1.   Before the Questionnaire Construction
      1.2.   Considerations of Presentation
      1.3.   Rules to be Followed in the Questionnaire Construction
      1.4.   Pre-testing a Questionnaire
      1.5.   Writing Field Interviewing Instructions - The Components
      1.6.   Questionnaire Construction - Main Steps
      1.7.   Example of Questionnaire Construction

Samples Size
   1.   Sampling Error and Sampling Size
   2.   Estimation of a Proportion
      2.1.   The magical formula
      2.2.   Computing Z
      2.3.   Simplified Magic Formula
      2.4.   Using Abascus and Online Tools
      2.5.   Pearson’s Abascus
      2.6.   Relationship between Confidence Level and the Range of the Confidence Interval
      2.7.   Impact of Population Size
   3.   Estimation of a Mean Value
      3.1.   Formula for the Mean Value
      3.2.   Estimating standard deviation of the population
      3.3.   Size of the sample

Surveys Error Sources
   1.   Sources of Error in the Result from a Study
   2.   Sampling Error
      2.1.   Systematic Error of Bias
      2.2.   Random Error
   3.   Non-sampling Errors
      3.1.   Non-coverage Errors
      3.2.   Non-responses Error or Bias
      3.3.   Instrument or Measurement Error
      3.4.   Investigator Related Errors
      3.5.   Respondent Error
      3.6.   Instrument or Measurement Error
      3.7.   Processing Error
   4.   Sample Size and Total Error
   5.   Relation between Size of Sample and Sample Error

Data Analysis
   1.   Basic Data Analysis
   2.   Tabulation of Research Data
      2.1.   One Way Tabulation
      2.2.   Cumulative Tabulation: An Example
      2.3.   Cross Tabulation
   3.   Statistics Associated with Frequency Distribution
      3.1.   Measures of Location
      3.2.   Measures of Variability
      3.3.   Measures of Shape
      3.4.   Summary Measures for Research Data
   4.   Hypothesis Testing
      4.1.   Null and Alternative Hypothesis Ho and Hi
      4.2.   Monadic z-test for a Single Large Sample
      4.3.   Comparative Test for Two Large Samples
      4.4.   Small Sample (t-test)
      4.5.   Small Single Sample Monadic t-test
      4.6.   Two independent Small Samples / Comparative t-test
      4.7.   Paired Small Sample: Comparative t-test
      4.8.   Significance Testing: Some Examples
   5.   Common Procedures for Testing Statistical Significance of Differences
   6.   Common Procedure for Testing Statistical Significance of Difference
      6.1.   Kolmogorov-Smirnov (K-S) One Sample Test
      6.2.   Mann-WitneyTest for Two Independent Samples
      6.3.   The Mann Whitney test
      6.4.   Wilcoxon Matched Pairs Signed Ranks Test for Differences in the Location of Two Populations
      6.5.   Wilcoxon Matched Pairs Signed Ranks Test to Test Hypothesis
      6.6.   The Kruskal Wallis Test for Several Independent Samples
      6.7.   Pearson’s Correlation Coefficient
   7.   Multivariate Statistical Technique