MAR4832 CONJOINT ANALYSIS TEST REVIEW, Exams of Social Sciences

MAR4832 CONJOINT ANALYSIS TEST REVIEW

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MAR4832 CONJOINT ANALYSIS TEST REVIEW
One alternative approach to conjoint analysis that brand managers can employ to
design new products and services - Answers - concept testing
Concept Testing - Answers - occurs when a buyer is shown a product concept and
asked questions regarding their purchase interest, or new products are placed in test
markets
(can be completed through focus groups)
Concept Testing Weaknesses - Answers - -can be expensive and time-consuming
-investigates just one or few variations of a product concept
-no approach like this by itself has been consistently successful and cost-efficient
-no tradeoffs
-doesn't mimic the real world
How Conjoint Analysis helps brand managers - Answers - -better understand what
aspects of their product drive their customers' brand choice
-uses the best elements in these techniques in a cost-effective survey research
approach
-gives managers the ability to estimate the results of millions of possible concept tests
based on data from a single survey (300-600 respondents)
-can estimate demand curves and substitution effects
-assess cannibalization effects
Times when Conjoint Analysis isn't appropriate - Answers - -If a product is so complex
that it requires varying levels of a lot of different features
-when there are no tradeoffs available
-If a firm cannot change the attribute levels
-if a product can't be identified as a bundle of attributes
-if customers cannot reasonably rate the product
A typical product may have many features (e.g., think of a product like a cellphone); are
all those features explicitly used in a typical conjoint study? - Answers - No
-listing every feature would be unnecessary
-can cause issues with respondents
Attributes - Answers - characteristics of a product
(Ex: brand, price, color)
Levels - Answers - -observations on the independent or predictor variables
-describe attributes
(Ex: Brand = A, B, C; Price = $50, $100, $150)
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MAR4832 CONJOINT ANALYSIS TEST REVIEW

One alternative approach to conjoint analysis that brand managers can employ to design new products and services - Answers - concept testing Concept Testing - Answers - occurs when a buyer is shown a product concept and asked questions regarding their purchase interest, or new products are placed in test markets (can be completed through focus groups) Concept Testing Weaknesses - Answers - - can be expensive and time-consuming

  • investigates just one or few variations of a product concept
  • no approach like this by itself has been consistently successful and cost-efficient
  • no tradeoffs
  • doesn't mimic the real world How Conjoint Analysis helps brand managers - Answers - - better understand what aspects of their product drive their customers' brand choice
  • uses the best elements in these techniques in a cost-effective survey research approach
  • gives managers the ability to estimate the results of millions of possible concept tests based on data from a single survey (300-600 respondents)
  • can estimate demand curves and substitution effects
  • assess cannibalization effects Times when Conjoint Analysis isn't appropriate - Answers - - If a product is so complex that it requires varying levels of a lot of different features
  • when there are no tradeoffs available
  • If a firm cannot change the attribute levels
  • if a product can't be identified as a bundle of attributes
  • if customers cannot reasonably rate the product A typical product may have many features (e.g., think of a product like a cellphone); are all those features explicitly used in a typical conjoint study? - Answers - No
  • listing every feature would be unnecessary
  • can cause issues with respondents Attributes - Answers - characteristics of a product (Ex: brand, price, color) Levels - Answers - - observations on the independent or predictor variables
  • describe attributes (Ex: Brand = A, B, C; Price = $50, $100, $150)

Which attributes and levels tend to be useful for a given study? - Answers - - every attribute must have at least 2 levels

  • they are determined in-house by contact with company people from a variety of functions
  • attributes should be independent
  • levels should be mutually exclusive
  • cover the full range of possibilities for existing products Focus Group Discussion Guide - Answers - a list of questions used in a focus group discussion What is the role of exploratory research (i.e. Focus Groups) in conducting a conjoint study? - Answers - Focus groups show their preferences and perceptions toward a set of products that is analyzed and converted into a value system that shows the importance and desired value of each attribute In the context of conjoint analysis, what are market simulations and how might they be useful? - Answers - Market simulations are competitive market scenarios to predict which products respondents would choose. They can be used to help a firm determine what products to produce that consumers would enjoy and purchase 3 approaches to conduct market simulations - Answers - 1. first choice
  1. linear
  2. logit First Choice Approach - Answers - Combination with the highest value is picked (The first choice isn't accurate enough) Linear Approach - Answers - All values are taken and formulas are used to develop probabilities of market share for each product Logit Approach - Answers - Total value of a product raised to the power of the x value (Most useful approach) How are 'Linear' and 'Logit' based simulations different? - Answers - Linear and logit use similar formulas; however, logit uses a natural logarithm. Linear deals with regression problems, while logit deals with classification problems. How are part-worth utilities different from the relative importance of attributes? - Answers - Part worth utilities show desirability, while relative importance shows the influence on the choice Identify the outputs one can obtain from the conjoint analysis - Answers - 1. utilities
  3. market simulations
  4. importance scores
  1. Select as many cells as the total (from above)
  2. Remember to use: "control + shift + enter" How does one interpret the regression coefficient of a dummy variable, and what is the role of the constant term in the regression equation? - Answers - The coefficient reflects the effect relative to the benchmark category so we have to add the constant to get the total effect. The constant ensures that the model will be unbiased. Given the regression output, how is the total value of a specific bundle of attributes (with specified levels) determined? - Answers - Using estimate coefficient and K calculation to determine the value of a specific bundle of attributes How is the relative importance of different attributes determined? - Answers - relative importance = range of 1 attribute / sum of all attribute ranges Why is it important to consider competitors' products in conducting simulations? - Answers - The main goal of a simulation is to calculate market shares. Market shares will be determined by how well one company performs. Why might some software provide no constant term in the conjoint analysis report (alternatively: how do we generate coefficients analogous to the commercial software from the Excel output for traditional conjoint analysis)? - Answers - This is due to the fact that it gives a value for each level instead How is traditional conjoint analysis different from the choice-based conjoint analysis? (What type of "answers" do respondents provide in traditional conjoint, and what do they provide in choice-based conjoint?) - Answers - It is different in the sense that respondents are shown a set of products and are asked which one they would purchase, rather than being asked to rank or rate them What is Discover (from Sawtooth)? - Answers - - Discover is an application within Sawtooth that allows for users to generate surveys.
  • It develops conjoint stimuli and questions
  • Administer to a large sample of respondents Do you see any advantage(s) to using Discover for conducting conjoint analysis? - Answers - - Design Matrix
  • Partial Factorial
  • Part-worth