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Research on Research Topics
Research on Research
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A
- ANALYSIS OF VARIANCE
- 14. Analysis of Variance: One-factor Designs
- 18. Analysis of Ratios of Means
- 24. Interpretation of t-Test Results
- ARCSIN TRANSFORMATION
ATTRIBUTABLE EFFECT
- 50. Statistical Analyses of Extreme Proportions
- 57. Estimation of the Effect of Attributes on Overall
Liking
B
- BAYESIAN INFERENCE
- 55. Use of a Bayesian Orientation in Product Testing
- BIAS
- -Influence Of Brand Name In Product Test
- 16. Using Letters to Identify Products or Brands
- -Product Order Presentation
- 16. Using Letters to Identify Products or Brands
- -Question Order Presentation
- 1. An Examination of Order Bias (On self-administered
questionnaires)
- 9. Pricing Research: Single vs. Multiple Presentations
- 15. Do You Want Overall Opinions or Diagnostic
Information
- -Respondent Fatigue
- 12. Measuring Buying Intention: Product List vs. Single
Product Questionnaire
- -Response Bias
- 4. Number-type Data: Structured vs. Open-ends
- -Sampling
- 36. The Logic of Statistical Significance Tests
- BINARY DATA
- -Compared to rating scales
- 53. The Effect of the Number of Scale Points in Measuring
Product Perceptions
- -Measures of Relationship
- 40. Measures of Relationship for Binary Data
- BINOMIAL DISTRIBUTION
- 11. Market Share Estimates and Their Standard Errors from
Store Tests
- 32. Estimating Sample Sizes for Mailouts
- 50. Statistical Analyses of Extreme Proportions
- BONFERRONI INEQUALITY
- 20. Examining Group Differences: Components of t-
Plots
- 30. Testing Differences Among Several Means
- 38. Correctly Selecting the Best Product
- BOOTSTRAPPING
- 31. Bootstrapping
- 38. Correctly Selecting the Best Product
- 48. An Alternative to the Mean
- BOX AND WHISKER PLOTS
- 17. Graphic Displays of Data: Box and Whisker Plots
- BRAND SHARE, ESTIMATION OF
- 11. Market Share Estimates and Their Standard Errors from
Store Tests
- 31. Bootstrapping
C
- CASH INCENTIVE
- -Mail Survey Response
- 39. Using a Cash Incentive to Heighten Mail Survey
Response
- CARRY-OVER EFFECT
- 13. Repeat Measures Design and Analysis
- CENSORED SCALES
- 4. Number-type Data: Structured vs. Open-ends
- 52. Censored Scales
- CENTRAL TENDENCY
- 17. Graphic Displays of Data: Box and Whisker Plots
- 48. An Alternative to the Mean
- CENTRAL LOCATION TESTING
- 51. Factors Involved in Conducting Product Tests via Central
Location Facilities
- CHOICE, ANALYSIS OF
- 26. Analysis of Forced-Choice Data
- CLUSTER ANALYSIS
- 25. Function Plots of Multi-Dimensional Data
- 29. Displaying Group Differences Using Biplots
- 35. An Analysis of Multiple Brand Usage
- 60. An Analysis of Importance Ratings
- CLUSTERING CONCEPTS
- 42. Clustering Concepts
- COMPONENT OF t-PLOT
- 20. Examining Group Differences: Components of t-
Plots
- CONCEPT TESTING
- 46 -Color vs. Black & White Product Photographs
- CONCERN SCALES vs. IMPORTANCE RATINGS
- 44. The Use of Concern Scales as an Alternative to Importance
Ratings
- CONDITIONAL PROBABILITY
- 35. An Analysis of Multiple Brand Usage
- 57. Estimation of the Effect of Attributes on Overall
Liking
- CONFIDENCE INTERVAL
- 11. Market Share Estimates and Their Standard Errors from
Store Tests
- 18. Analysis of Ratios of Means
- 20. Examining Group Differences: Components of t-
Plots
- 30. Testing Differences Among Several Means
- 31. Bootstrapping
- 34. Confidence and Tolerance Intervals
- 36. The Logic of Statistical Significance Tests
- CONFIDENCE LEVEL (See Type I error, significance level)
- 27. Minimizing Losses (or Maximizing Gains) and Choosing Confidence
Levels
- 30. Testing Differences Among Several Means
- 36. The Logic of Statistical Significance Tests
- 37. Sample Sizes for Analyses of Means and
Proportions
- 43. Balancing Confidence and Power for Decision Making
- CONJOINT ANALYSIS
- 19. Response Measures, Data Collection Methods, and Conjoint Analysis: A Two-attribute Case Study
- 58. Conjoint Analysis for Product Strategy Decisions
- CONTEXT EFFECTS
- 6. Brand Perceptions: Relative vs. Absolute Ratings
- 9. Pricing Research: Single vs. Multiple Presentations
- 13. Repeat Measures Design and Analysis
- 41. Some Methodological Issues in Product Testing
- CORRECT SELECTION METHODOLOGY
- 38. Correctly Selecting the Best Product
- CORRELATION POINT-BISERIAL
- 24. Interpretation of t-Test Results
D
- DATA COLLECTION METHODS
- 1. An Examination of Order Bias (On self-administered questionnaires)
- 8. Using Multiple Question Grids
- 51. Factors Involved in Conducting Product Tests via Central Location Facilities
- DESIGNS
- -Partially Balanced Incomplete Block
- 41. Some Methodological Issues in Product Testing
- 49. Statistical Designs for Ordering and Rotating Products in
Product Tests
- -Balanced Incomplete Block Design
- 49. Statistical Designs for Ordering and Rotating Products in
Product Tests
- -Incomplete Block
- 13. Repeat Measures Design and Analysis
- 29. Displaying Group Differences Using Biplots
- 41. Some Methodological Issues in Product Testing
- -Monadic, Randomized Block, & Repeated Measures
- 13. Repeat Measures Design and Analysis
- DIAGNOSTIC INFORMATION
- 15. Do You Want Overall Opinions or Diagnostic
Information
- DISCRIMINANT ANALYSIS
- 25. Function Plots of Multi-Dimensional Data
- 29. Displaying Group Differences Using Biplots
- DISCRIMINATION
- -Tests, Design of & Measurement of
- 33. Simultaneous Measurement of Discrimination and
Preference
- DISCRIMINATOR/NON-DISCRIMINATOR MODEL, DOUBLE PAIR PROCEDURE, & DUAL
TRIAD PROCEDURE
- 33. Simultaneous Measurement of Discrimination and
Preference
E
- EFFECT SIZE
- 36. The Logic of Statistical Significance Tests
F
- FORCED-CHOICE DATA
- 26. Analysis of Forced-Choice Data
- 38. Correctly Selecting the Best Product
- FREQUENCY
- -Distribution
- 17. Graphic Displays of Data: Box and Whisker Plots
- -Frequency Of Use
- --"average period" method of measurement
- --"past period" method of measurement
- --measurement of
- 7. Frequency Measurement: Past vs. Average
Period
- FUNCTION PLOT
- 25. Function Plots of Multi-Dimensional Data
G
- GRAPHIC DISPLAY OF DATA
- 17. Graphic Displays of Data: Box and Whisker Plots
- 20. Examining Group Differences: Components of t-
Plots
- 25. Function Plots of Multi-Dimensional Data
- 29. Displaying Group Differences Using Biplots
- 53. The Effect of the Number of Scale Points in Measuring
Product Perceptions
- 56. Triangle Plots: Graphic Display of "Just Right" Scale
Data
H
- HYPOTHESIS TESTING
- 36. The Logic of Statistical Significance Tests
- 54. Test of Differences Between Correlated Proportions
I
- IMPORTANCE, MEASUREMENT OF
- 28. Measuring the "Importance" of Attributes
- IMPORTANCE SCALES
- 44. The Use of Concern Scales as an Alternative to Importance
Ratings
- INTERQUARTILE RANGE
- 17. Graphic Displays of Data: Box and Whisker Plots
- AN ANALYSIS OF IMPORTANCE RATINGS
- 60. An Analysis of Importance Ratings
J
- JACKKNIFING
- 11. Market Share Estimates and Their Standard Errors from
Store Tests
- 31. Bootstrapping
- "JUST RIGHT" SCALES
- 56. Triangle Plots: Graphic Display of "Just Right" Scale
Data
L
- LETTER BIAS IN PRODUCT LABELING
- 16. Using Letters to Identify Products or Brands
- LISTED VS. UNLISTED TELEPHONE NUMBERS
- 10. Dialing Selection Techniques: Random Digit vs.
Directory
M
- MAIL PANELS
- 59. Mail Panels vs. General Samples: How similar and how
different
- MARKET AUDITS
- 11. Market Share Estimates and Their Standard Errors from
Store Tests
- 21. How to Improve Test Marketing
- 22. An Examination of Weekend Audits
- MEANS, ANALYSIS OF
- 4. Number-type Data: Structured vs. Open-ends
- 14. Analysis of Variance: One-factor Designs
- 17. Graphic Displays of Data: Box and Whisker Plots
- 18. Analysis of Ratios of Means
- 20. Examining Group Differences: Components of t-
Plots
- 25. Function Plots of Multi-Dimensional Data
- 30. Testing Differences Among Several Means
- 37. Sample Sizes for Analyses of Means and
Proportions
- 24. Interpretation of t-Test Results
- 48. An Alternative to the Mean
- MEANS, FOR CENSORED SCALES
- 52. Censored Scales
- MEDIANS
- 4. Number-type Data: Structured vs. Open-ends
- 17. Graphic Displays of Data: Box and Whisker Plots
- 48. An Alternative to the Mean
- MINIMAX CRITERION
- 27. Minimizing Losses (or Maximizing Gains) and Choosing
Confidence Levels
- MULTINOMIAL DISTRIBUTION
- 26. Analysis of Forced-Choice Data
- MULTIPLE COMPARISON PROCEDURE
- 14. Analysis of Variance: One-factor Designs
- 20. Examining Group Differences: Components of t-
Plots
- 26. Analysis of Forced-Choice Data
- 30. Testing Differences Among Several Means
- 36. The Logic of Statistical Significance Tests
- MULTIPLE PRODUCT QUESTIONNAIRE
- 12. Measuring Buying Intention: Product List vs. Single
Product Questionnaire
- MULTIPLE QUESTION ANSWER GRID
- 8. Using Multiple Question Grids
- MULTIPLICITY
- 30. Testing Differences Among Several Means
- MULTIVARIATE ANALYSIS
- 20. Examining Group Differences: Components of t-
Plots
- 25. Function Plots of Multi-Dimensional Data
- 29. Displaying Group Differences Using Biplots
N
- NO ANSWER, ANALYSIS OF NON-RESPONSE
- 12. Measuring Buying Intention: Product List vs. Single
Product Questionnaire
- -In Survey Data
- 8. Using Multiple Question Grids
- 23. Measuring Buying Intention: How Valid is the
Estimate?
- -To Rating Tasks
- 28. Measuring the "Importance" of Attributes
- NULL HYPOTHESIS
- 36. The Logic of Statistical Significance Tests
O
- ODDS
- 40. Measures of Relationship for Binary Data
- 55. Use of a Bayesian Orientation in Product Testing
- ORDER ROTATION
- 1. An Examination of Order Bias (On self-administered
questionnaires)
- OUTLIERS
- 17. Graphic Displays of Data: Box and Whisker Plots
P
- PAIRED COMPARISON PROCEDURE
- -Attribute Evaluation
- 28. Measuring the "Importance" of Attributes
- -Product Evaluation
- 19. Response Measures, Data Collection Methods, and Conjoint
Analysis: A Two-attribute Case Study
- 26. Analysis of Forced-Choice Data
- 33. Simultaneous Measurement of Discrimination and
Preference
- 38. Correctly Selecting the Best Product
- PATTERN ANALYSIS
- 35. An Analysis of Multiple Brand Usage
- PENALTY ANALYSIS
- 56. Triangle Plots: Graphic Display of "Just Right" Scale
Data
- PERCENTILES
- 17. Graphic Displays of Data: Box and Whisker Plots
- PERCEPTUAL MAPS
- 27. Minimizing Losses (or Maximizing Gains) and Choosing
Confidence Levels
- 29. Displaying Group Differences Using Biplots
- 53. The Effect of the Number of Scale Points in Measuring
Product Perceptions
- POWER (See Type II Error)
- 14. Analysis of Variance: One-factor Designs
- 27. Minimizing Losses (or Maximizing Gains) and Choosing
Confidence Levels
- 36. The Logic of Statistical Significance Tests
- 37. Sample Sizes for Analyses of Means and
Proportions
- 38. Correctly Selecting the Best Product
- 43. Balancing Confidence and Power for Decision
Making
- PREFERENCE
- -Tests, Design Of
- 33. Simultaneous Measurement of Discrimination and
Preference
- 41. Some Methodological Issues in Product Testing
- -Influence By Attributes
- 15. Do You Want Overall Opinions or Diagnostic
Information
- -Measurement Of
- 35. An Analysis of Multiple Brand Usage
- 41. Some Methodological Issues in Product Testing
- PRICE PERCEPTIONS
- 9. Pricing Research: Single vs. Multiple Presentations
- PRIOR INFORMATION (see Bayesian inference)
- 55. Use of a Bayesian Orientation in Product Testing
- PROBABILITY OF CORRECT SELECTION
- 38. Correctly Selecting the Best Product
- PROBABILITY PLOT
- 17. Graphic Displays of Data: Box and Whisker Plots
- PRODUCT LABELS, USE OF LETTERS
- 16. Using Letters to Identify Products or Brands
- PRODUCT TESTS, ANALYSIS OF
- 55. Use of a Bayesian Orientation in Product Testing
- PRODUCT TESTS, DESIGN STRUCTURE
- 16. Using Letters to Identify Products or Brands
- 33. Simultaneous Measurement of Discrimination and
Preference
- 41. Some Methodological Issues in Product Testing
- 49. Statistical Designs for Ordering and Rotating Products in
Product Tests
- 51. Factors Involved in Conducting Product Tests via Central
Location Facilities
- -Treatment Structure & Monadic For Ordering and Rotating Products
- 41. Some Methodological Issues in Product Testing
- -Balanced Incomplete Block, Partially Balanced Incomplete Block, Factorial Design, Fractional
Factorial Design, Latin Squares, Youden Squares, & Cross Over Design
- 41. Some Methodological Issues in Product Testing
- 49. Statistical Designs for Ordering and Rotating Products in
Product Tests
- PRODUCT TESTS, MEASUREMENT OF
- -Absolute Measurement
- -Relative or Comparative Measurement
- -Direct vs. Indirect Measurement
- 43. Balancing Confidence and Power for Decision
Making
- PRODUCT TESTS, METHODS
- 51. Factors Involved in Conducting Product Tests via Central
Location Facilities
- PROPORTIONS, ANALYSIS OF
- 26. Analysis of Forced-Choice Data
- 37. Sample Sizes for Analyses of Means and
Proportions
- 50. Statistical Analyses of Extreme Proportions
- 53. The Effect of the Number of Scale Points in Measuring
Product Perceptions
- 54. Test of Differences Between Correlated Proportions
- PURCHASE INCIDENCE, MEASUREMENT OF
- 5. Measuring Purchase Incidence Rates
- PURCHASE INTENT
- -Influenced By Multiple Product List
- 12. Measuring Buying Intention: Product List vs. Single
Product Questionnaire
- -Influenced By Price Presentation
- 9. Pricing Research: Single vs. Multiple Presentations
- -Measurement Of
- 9. Pricing Research: Single vs. Multiple Presentations
- 12. Measuring Buying Intention: Product List vs. Single
Product Questionnaire
- 23. Measuring Buying Intention: How Valid is the
Estimate?
- -Purchase Cycle
- 52. Censored Scales
- -Validation Of Measures
- 23. Measuring Buying Intention: How Valid is the
Estimate?
Q
- QUESTIONNAIRE DESIGN
- 1. An Examination of Order Bias (On self-administered
questionnaires)
- 4. Number-type Data: Structured vs. Open-ends
- 5. Measuring Purchase Incidence Rates
- 7. Frequency Measurement: Past vs. Average
Period
- 8. Using Multiple Question Grids
- 9. Pricing Research: Single vs. Multiple Presentations
- 15. Do You Want Overall Opinions or Diagnostic
Information
- 53. The Effect of the Number of Scale Points in Measuring
Product Perceptions
R
- RANK ORDER DATA
- 19. Response Measures, Data Collection Methods, and Conjoint
Analysis: A Two-attribute Case Study
- 44. The Use of Concern Scales as an Alternative to Importance
Ratings
- RATING SCALES
- -Analysis Of
- 2. Measuring Purchase Intent
- -Censored
- 52. Censored Scales
- -Comparison Of
- 2. Measuring Purchase Intent
- 3. Variations in Semantic Differential Scales
- 28. Measuring the "Importance" of Attributes
- 53. The Effect of the Number of Scale Points in Measuring
Product Perceptions
- -Concern Scales
- 44. The Use of Concern Scales as an Alternative to Importance
Ratings
- -Effect Of Context On
- 6. Brand Perceptions: Relative vs. Absolute Ratings
- -Importance Scales
- 44. The Use of Concern Scales as an Alternative to Importance
Ratings
- -"Just Right"
- 56. Triangle Plots: Graphic Display of "Just Right" Scale
Data
- -Labeling Of Scale Points
- 28. Measuring the "Importance" of Attributes
- -Semantics Of
- 2. Measuring Purchase Intent
- 3. Variations in Semantic Differential Scales
- -Structure Of
- 2. Measuring Purchase Intent
- 3. Variations in Semantic Differential Scales
- 4. Number-type Data: Structured vs. Open-ends
- 28. Measuring the "Importance" of Attributes
- -Transformation Of
- 2. Measuring Purchase Intent
- -Variability Of Responses
- 37. Sample Sizes for Analyses of Means and
Proportions
- RATIO DATA
- -Analysis Of
- 18. Analysis of Ratios of Means
- -Measurement Of
- 4. Number-type Data: Structured vs. Open-ends
- RECALL RESPONDENT
- 7. Frequency Measurement: Past vs. Average
Period
- REPEAT PAIR PROCEDURE
- 33. Simultaneous Measurement of Discrimination and
Preference
- RELATIVE EFFECT
- 57. Estimation of the Effect of Attributes on Overall
Liking
- RESPONSE PATTERNS
- 3. Variations in Semantic Differential Scales
S
- SAMPLE SIZE ESTIMATION
- 14. Analysis of Variance: One-factor Designs
- 32. Estimating Sample Sizes for Mailouts
- 36. The Logic of Statistical Significance Tests
- 37. Sample Sizes for Analyses of Means and
Proportions
- 38. Correctly Selecting the Best Product
- 45. Sample Size Tables For Significance Tests
- -Effective Sample Size
- -Finite Population Correction Factor (FPC)
- 47. The Effect of Population Size on Precision and Sample
Size
- SAMPLE SIZE TABLES
- 45. Sample Size Tables For Significance Tests
- SAMPLING ERROR
- 37. Sample Sizes for Analyses of Means and
Proportions
- SAMPLING WITH REPLACEMENT (RESAMPLING)
- 31. Bootstrapping
- SAMPLING
- -Quota & Stratification
- 35. An Analysis of Multiple Brand Usage
- -Mail Panels vs. General Samples
- 59. Mail Panels vs. General Samples: How similar and how
different
- SEGMENTATION
- 35. An Analysis of Multiple Brand Usage
- SIGNIFICANCE LEVEL (See Type I Error, Confidence Level)
- 30. Testing Differences Among Several Means
- 36. The Logic of Statistical Significance Tests
- 37. Sample Sizes for Analyses of Means and
Proportions
- SIMILARITY COEFFICIENTS
- 35. An Analysis of Multiple Brand Usage
- SKEWNESS
- 17. Graphic Displays of Data: Box and Whisker Plots
- STANDARD ERROR
- 37. Sample Sizes for Analyses of Means and
Proportions
- STATISTICAL DECISION RULES
- 27. Minimizing Losses (or Maximizing Gains) and Choosing
Confidence Levels
- STATISTICAL SIGNIFICANCE TESTS
- (See Specific Tests In Index)
- 11. Market Share Estimates and Their Standard Errors from
Store Tests
- 13. Repeat Measures Design and Analysis
- 14. Analysis of Variance: One-factor Designs
- 18. Analysis of Ratios of Means
- 20. Examining Group Differences: Components of t-
Plots
- 24. Interpretation of t-Test Results
- 26. Analysis of Forced-Choice Data
- 27. Minimizing Losses (or Maximizing Gains) and Choosing
Confidence Levels
- 32. Estimating Sample Sizes for Mailouts
- 34. Confidence and Tolerance Intervals
- 36. The Logic of Statistical Significance Tests
- 37. Sample Sizes for Analyses of Means and
Proportions
- 38. Correctly Selecting the Best Product
- 54. Test of Differences Between Correlated Proportions
- STRUCTURED VS. UNSTRUCTURED QUESTIONS
- 4. Number-type Data: Structured vs. Open-ends
- 7. Frequency Measurement: Past vs. Average Period
- SUBJECTIVE PRIOR PROBABILITIES
- 27. Minimizing Losses (or Maximizing Gains) and Choosing
Confidence Levels
T
- TASTE TEST
- 51. Factors Involved in Conducting Product Tests via Central
Location Facilities
- t-Test
- 18. Analysis of Ratios of Means
- 20. Examining Group Differences: Components of t-Plots
- 24. Interpretation of t-Test Results
- TELEPHONE SAMPLING
- -Raised Integer Dialing, Random Digit Dialing (RDD), & Systematic Digit Dialing
- 10. Dialing Selection Techniques: Random Digit vs.
Directory
- TEST MARKETING
- 21. How to Improve Test Marketing
- 22. An Examination of Weekend Audits
- TOLERANCE INTERVAL
- 34. Confidence and Tolerance Intervals
- TRIAD PROCEDURE & TRIANGLE DISCRIMINATION PROCEDURE
- 33. Simultaneous Measurement of Discrimination and Preference
- TRIANGLE PLOTS
- 56. Triangle Plots: Graphic Display of "Just Right" Scale
Data
- TYPE I ERROR (See Significance Level, Confidence Level)
- 27. Minimizing Losses (or Maximizing Gains) and Choosing
Confidence Levels
- 30. Testing Differences Among Several Means
- 36. The Logic of Statistical Significance Tests
- 37. Sample Sizes for Analyses of Means and
Proportions
- 38. Correctly Selecting the Best Product
- 43. Balancing Confidence and Power for Decision
Making
- 55. Use of a Bayesian Orientation in Product Testing
- TYPE II ERROR (See Power)
- 27. Minimizing Losses (or Maximizing Gains) and Choosing
Confidence Levels
- 36. The Logic of Statistical Significance Tests
- 37. Sample Sizes for Analyses of Means and
Proportions
- 38. Correctly Selecting the Best Product
- 43. Balancing Confidence and Power for Decision
Making
- 55. Use of a Bayesian Orientation in Product Testing
U
- UNIT OF ANALYSIS
- 11. Market Share Estimates and Their Standard Errors from
Store Tests
V
- VARIABILITY
- 17. Graphic Displays of Data: Box and Whisker Plots
- VARIANCE, ESTIMATION OF
- 37. Sample Sizes for Analyses of Means and Proportions
- VARIANCE, WITH CENSORED SCALES
- 52. Censored Scales
- VERSIONING, EFFECT ON RATINGS
- 6. Brand Perceptions: Relative vs. Absolute Ratings
W
- WEEKEND AUDITS
- 22. An Examination of Weekend Audits
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