limitations of conjoint analysis

Hainmueller and colleagues (Citation2015) validated conjoint designs in one particular case but we have yet to learn what the results from conjoint designs on political communication truly teach us about phenomenon in the real world (e.g., Barabas & Jerit, Citation2010). The researcher just chooses a reference category. These utility functions indicate the perceived value of the feature and how sensitive consumer perceptions and preferences are to changes in product features. First, the questions addressed in many applications of CA require a relatively large number of attributes. Conjoint analysis is a statistical technique used in market research to determine how people value different features that make up an individual product or service. WebThere are some limitations to self-explicated conjoint analysis, including an inability to trade off price with other attribute bundles. Compared to the traditional survey experiment, conjoint designs strengths lie in its capacity to include more factors and to study multidimensional choices. Each example is composed of a unique combination of product features. In this sense, conjoint analysis is able to infer the true value structures that inuence consumer decision making; something that other research methods typically cannot. In order to account for all these factors simultaneously, we introduce a new conjoint experiment template that is tailored for political communication research. Register to receive personalised research and resources by email. WebIn applications of conjoint analysis, results obtained at the individual level have to be aggregated for managerial purposes. Bansak and colleagues (Citation2017) test how far researchers can push these limits in terms of the number of attributes included in such profiles and show that treatment effects are robust to a large number of tasks and attributes. These measures were then matched with the attribute values in the headlines and coded as likes party or dislikes party.. With an exception to this situation, conjoint is quite inexpensive as compared to other similar methods such as concept testing and hence is hugely popular. https://doi.org/10.1080/10584609.2018.1493009, publishers website at 10.1080/10584609.2018.1493009, http://scholar.harvard.edu/files/msen/files/directeffects-experiments.pdf, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2959146, https://s3.us-east-2.amazonaws.com/tjl-sharing/assets/CanCitizensBeFramed.pdf, https://cran.r-project.org/web/packages/cjoint/, Medicine, Dentistry, Nursing & Allied Health. The Choice-Based conjoint method. Such a discovery is not actionable and hence not usable. For instance, levels for screen format may be LED, LCD, or Plasma. The cookie stores information anonymously and assigns a randomly generated number to recognize unique visitors. It is the measurement of the actual and perceived benefits wherein it lies at the center of most of the approaches of market segmentation. In real-life situations, buyers choose among alternatives rather than ranking or rating them. This limitation is pertinent for political communication research, as the study of political communication is to a large degree a study of multidimensional causal relations. We asked 2,071 respondents in the NCP to closely read a selection of four randomly generated news headlines and decide which two headlines they would most likely choose to spend their time on, as displayed in Figure 4. This cookie is set by GDPR Cookie Consent plugin. Participants are asked to choose their preferred apartment option within each choice scenario. Complexity The design of conjoint studies has been considered complex in nature. WebPurpose: In recent times, many universities have been pressured to become heavily involved in university branding. We do not go into detailed analysis of the results here but use these examples to walk the reader through methodological choices that need to be made and how the results are analyzed. It enables market researches to anticipate purchases with more certainty. The design is a 323333310 factorial design, equaling more than 29,000 possible combinations. Editor in Chief - 12 Advantages and Disadvantages of Conjoint Analysi WebExpert Answer. Acharya, Blackwell, and Sen (Citation2016) demonstrate and detail an approach for dealing with mediation in conjoint experiments by testing the effects of randomly including or excluding some specific attributes on the effects of the other attributes. Wharton School of the University of Pennsylvania, Learn how and when to remove this template message, "A comparison of analytic hierarchy process and conjoint analysis methods in assessing treatment alternatives for stroke rehabilitation", "Clinical decision-making for thrombolysis of acute minor stroke using adaptive conjoint analysis", "Cloud computing adoption decision modelling for SMEs: a conjoint analysis", "Correcting Measurement Error Bias in Conjoint Survey Experiments", https://www.criterioneconomics.com/using-conjoint-analysis-to-apportion-patent-damages.html, Conjoint analysis in consumer research: Issues and outlook, A general approach to product design optimization via conjoint analysis, A Conjunctive-Compensatory Approach to the Self-Explication of Multiattributed Preferences, Conjoint Analysis in Marketing: New Developments with Implications for Research and Practice, Conjoint Analysis, Related Modeling and Applications, https://en.wikipedia.org/w/index.php?title=Conjoint_analysis&oldid=1136759716, Articles with unsourced statements from May 2017, Articles needing additional references from August 2017, All articles needing additional references, Articles with dead external links from July 2020, Articles with permanently dead external links, Creative Commons Attribution-ShareAlike License 3.0. be relevant to managerial decision-making. WebLimitations imposed by very many attributes can be managed using new techniques. Open Access of this article is funded by the University of Bergen. This design enables an analysis of the effects of a publications distribution mode (Kiousis, Citation2001) and reveals possible masking effects, and compares the distribution mode effects to the effects of other relevant attributes such as the amount of entertainment news (Ladd, Citation2012), and the age of the publication. In this situation, the respondent always prefers It is used frequently in testing customer acceptance of new product designs, in assessing the appeal of advertisements and in service design. Given a large number of attributes, factor analysis identifies a few underlying dimensions by grouping the attributes based on the correlation between the attributes. WebQuestions 3-4 From Conjoint Analysis and Segmentation, we see that it is best to enter S egment 1 with Servair DX and Segment 2 with Premier DX. 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WebQuestions 3-4 From Conjoint Analysis and Segmentation, we see that it is best to enter S egment 1 with Servair DX and Segment 2 with Premier DX. preferably not exhibit strong correlations (price and brand are an exception), estimates psychological tradeoffs that consumers make when evaluating several attributes together, can measure preferences at the individual level, uncovers real or hidden drivers which may not be apparent to respondents themselves, if appropriately designed, can model interactions between attributes, may be used to develop needs-based segmentation, when applying models that recognize respondent heterogeneity of tastes, designing conjoint studies can be complex, when facing too many product features and product profiles, respondents often resort to simplification strategies, difficult to use for product positioning research because there is no procedure for converting perceptions about actual features to perceptions about a reduced set of underlying features, respondents are unable to articulate attitudes toward new categories, or may feel forced to think about issues they would otherwise not give much thought to, poorly designed studies may over-value emotionally-laden product features and undervalue concrete features, does not take into account the quantity of products purchased per respondent, but weighting respondents by their self-reported purchase volume or extensions such as volumetric conjoint analysis may remedy this, Green, P. Carroll, J. and Goldberg, S. (1981), This page was last edited on 1 February 2023, at 00:10. They cannot separate the effects of each subtype because they do not use a conjoint experiment. It does not store any personal data. Although researchers have used the traditional choice based conjoint experiment to examine selective exposure (Mummolo, Citation2016), researchers have yet to study all of these cues simultaneously. Webapplicability of conjoint analysis and sought understanding of its limitations. By clicking Accept, you consent to the use of all cookies. We believe that conjoint experiments can be employed considerably more than thus far in political communication research. Analytical cookies are used to understand how visitors interact with the website. For instance, scholars interested in the effects of different attributes of sentences or headlines can use the logic of conjoint experiments to gain knowledge about how different parts of a sentence affect peoples choices or attitudes. You will need to carefully do the following steps: This work was supported by the Bergens Forskningsstiftelse [BFS2015TMT01]; Rdet for Anvendt Medieforskning [15/370-2/JEA]. Data for conjoint analysis are most commonly gathered through a market research survey, although conjoint analysis can also be applied to a carefully designed configurator or data from an appropriately designed test market experiment. Using the logic of conjoint design, one can randomly vary a variety of information in a headline and subsequently analyze the relative importance of each component. Figure 4. brand, package, price. In choice-based conjoint analysis, a set of products is presented to consumers in a similar manner to the real marketplace situation. Contract E(11-1)-4136.] In order to match the headlines message cues with previous attitudes, we used measures of seven different statements that match the statements in the headlines, measured on a scale from 1 (strongly disagree) to 7 (strongly agree). Conjoint analysis is a survey-based statistical technique used in market research that helps determine how people value different attributes (feature, function, benefits) that make up an individual product or service. [4] Depending on the type of model, different econometric and statistical methods can be used to estimate utility functions. Register a free Taylor & Francis Online account today to boost your research and gain these benefits: Beyond the Limits of Survey Experiments: How Conjoint Designs Advance Causal Inference in Political Communication Research, The benefits of experimental methods for the study of campaign effects, The number of choice tasks and survey satisficing in conjoint experiments, Messages received: The political impact of media exposure, Information equivalence in survey experiments, Learning more from political communication experiments: Pretreatment and its effects, Conjoint measurement for quantifying judgmental data, Validating vignette and conjoint survey experiments against real-world behavior, Causal inference in conjoint analysis: Understanding multidimensional choices via stated preference experiments, Media effects on politicians: An individual-level political agenda-setting experiment, Selective exposure to campaign communication: The role of anticipated agreement and issue public membership, Public trust or mistrust? The term conjoint analysis has been used in market research as a statistical technique to determine how people would value various attributes such as benefits, feature and function, making up a product or service. The field of communication science has evolved considerably since. Conjoint designs solve this problem by letting the researcher vary an indefinite number of factors in one experiment. During the sixties, when researchers tried to understand consumers decision making process, they used In the analysis of these headline selections, we focus on two so-called cues that can guide peoples headline selection: message cues (i.e., peoples preferences for political messages in line with their attitudes) and party cues (i.e., peoples preference for news stories that feature a party or candidate they prefer). One approach is to technically include these other factors but simply hold them constant at one value (e.g., include only old newspapers with no entertainment news). Registered in England & Wales No. Box 127788, United With newer hierarchical Bayesian analysis techniques, individual-level utilities may be estimated that provide greater insights into the heterogeneous preferences across individuals and market segments. These cookies track visitors across websites and collect information to provide customized ads. Enables Purchase Decisions Respondents are able to choose none-of-these option in making purchase decisions. Conjoint analysis is widely used for estimating the effects of a large number of treatments on multidimensional decision-making. A controlled set of potential products or services is shown to survey respondents and by analyzing how they make choices among these products, the implicit valuation of the individual elements making up the product or service can be determined. In addition, we demonstrated that conjoint designs can be tailored and innovated to address issues that are specific to political communication, such as selective exposure. A product or service area is described in terms of a number of attributes. The traditional survey experiment has well-known restrictions regarding the number of factors we can study at any one time. Professor of Marketing, Conjoint analysis has become popular among social scientists for measuring multidimensional preferences. 2009); Sentius Int'l, LLC v. Microsoft Corp., No. Crucially, our headline template demonstrates that party cues have a larger effect than message cues on peoples propensity to engage in selective exposure. The procedure of conjoint analysis involves the gathering of data through marketing research survey. Based on the respondents' answers, market researchers can find out the most liked features by customers and get an idea of pricing. However, selective exposure in the real world involves multidimensional choices with many factors, such as the partisan reputation of the source (source cues; Mummolo, Citation2016), the pro or con message frame of an issue (message cues; Knobloch-Westerwick et al., Citation2017), the valence of the headline (negativity bias; Knobloch-Westerwick et al., Citation2017), and the political actors (e.g., a political candidate) mentioned in the headline (party cues; Iyengar, Hahn, Krosnick, & Walker, Citation2008). The full list of attributes and attribute levels are shown on the Y-axis in Figure 2. With this combination, Durr will acquire an estimated market share of 29.67% (89 units) which is higher than the market share Limitations and Future Directions. 5. 6. With conjoint analysis, they can mimic the decision process made by customers. 5:13-cv-00825, 2015 WL 331939 (N.D. Cal. WebADVANTAGES AND DISADVANTAGES OF THE USE OF CONJOINT ANALYSIS IN CONSUMER PREFERENCES RESEARCH Abstract. Vimeo installs this cookie to collect tracking information by setting a unique ID to embed videos to the website. To get unbiased estimates of the variance, because respondents are given two profiles in each task, and often perform several choice tasks, the standard errors need to be corrected for with within-respondent clustering (e.g., using cluster in Stata; see Hainmueller et al., Citation2014, pp.1617). feha statute of limitations retroactive; honey child strain. WebAnother advantage: the conjoint analysis is a great way to predict behaviour before the product is launched. For instance, one of the two recipes for headlines about privatization of public services looks like this: [party]-politician receives [valence] for a new proposal: want to [preference] the Norwegian Railroad Service. Note that the figure displays six, not seven, topics, because Reduce taxes is two topics collapsed as one. Each example is similar enough that consumers will see them as close substitutes but dissimilar enough that respondents can clearly determine a preference. Selecting the importance degree of these attributes. Conjoint analysis is also applicable in situations where. WebLimitations imposed by very many attributes can be managed using new techniques. Simulate Market Shares for Product Launches with Conjoint Analysis. Moreover, an attempt is made to provide the past and current status of research done along with its contribution, relevance and future research agenda in the field of research. Authors Basem Al-Omari 1 2 , Joviana Farhat 1 , Mai Ershaid 1 Affiliations 1 Department of Epidemiology and Population Health, College of Medicine and Health Sciences, Khalifa University, Abu Dhabi P.O. Although conjoint experiments are often limited to a choice between two profiles, this approach also enables a design that more easily can include three or more profiles (i.e., headlines) in a choice task. They decide which one is the most attractive for them. Conjoint designs solve this issue by enabling the researcher to identify the effect of the distribution mode and many other factors at the same time. In the following section, we suggest a research agenda for how conjoint analysis can improve political communication research and how political communication can improve the method. This cookie, set by Cloudflare, is used to support Cloudflare Bot Management. This cookie is set by GDPR Cookie Consent plugin. In order to use more attributes (up to 30), hybrid conjoint techniques were developed that combined self-explication (rating or ranking of levels and attributes) followed by conjoint tasks. WebConjoint analysis is a technique that evaluates the importance of a products attributes to consumers. The incorporation of eyetracking to conjoint analysis seems to be a proper way to overcome this limitation. Then we would know the effect of the distribution mode, but only for one particular case. 1. Our aim is to call attention to an alternative approach to this problem: conjoint designs. Second, we compare the strengths and limitations of two well-known correction This article has highlighted how conjoint experiments can be used as a fruitful addition to political communication scholars arsenal of research approaches. During the sixties, when researchers tried to understand consumers decision making process, they used a simple questionnaire or a form. We show respondents a screen with profiles of the two news publications (see Figure 1) with the following introduction: We are interested in examining what makes people trust different sources of news. Consequently, fractional factorial design is commonly used to reduce the number of profiles to be evaluated, while ensuring enough data are available for statistical analysis, resulting in a carefully controlled set of "profiles" for the respondent to consider. The article is Written By Prachi Juneja and Reviewed By Management Study Guide Content Team. Political communication scholars also have an opportunity to continue to innovate, enhance, and tune the conjoint design to better understand how political communication shapes modern political reality. Recognizing the product attributes: configuration, brand, price, etc in the above case. With large numbers of attributes, the consideration task for respondents becomes too large and even with fractional factorial designs the number of profiles for evaluation can increase rapidly. We contribute with empirical demonstrations of the method and offer sample scripts researchers can use to analyze and innovate conjoint designs in their own surveys. WebIn applications of conjoint analysis, results obtained at the individual level have to be aggregated for managerial purposes. What Is Conjoint Analysis, and How Can It Be Used? The estimated cost to construct the building associated with each apartment option is equivalent. For example, consider a questionnaire designed to understand consumers perceptions of the most desirable smart phone features. For instance, Knobloch-Westerwick and colleagues (Citation2017) show through a lab experiment why we should study the effects of different subtypes (i.e., confirmation bias, in-group bias, and negativity bias) of selective exposure simultaneously. Your conjoint question should be on a page by itself. These products mostly comprise of luxury items where the emotional factor rather than the rational side dominates. A prime example is survey experiments (Sniderman, Citation2011), now a preferred method for testing causal effects (Arceneaux, Citation2010). Study participants are shown a series of choice scenarios, involving different apartment living options specified on 6 attributes (proximity to campus, cost, telecommunication packages, laundry options, floor plans, and security features offered). Associated with Amazon Web Services and created by Elastic Load Balancing, AWSELB cookie is used to manage sticky sessions across production servers. We may choose to keep these highly unlikely combinations, remove and replace them, or strive for a design that does not produce them. We then have two issues we need to overcome. It will also enable you to redesign existing products or make new products using the benefits you have in mind. The fact that the effects of the matched AMCEs (Figure 3a) are smaller than the AMCEs for message topics (Figure 3b) supports Mummolos (Citation2016) argument about the importance of topic relevance. By combining these market models with internal project costings, companies can evaluate decisions in terms of Return on Investment (ROI) before going to market. Basically, you can gain thorough understanding about the market and the value or your services or products as how respondents see it. Firstly, the number of attributes in use was heavily restricted. perceptions of media credibility in the information age, Confirmation bias, ingroup bias, and negativity bias in selective exposure to political information, News from the other side: How topic relevance limits the prevalence of partisan selective exposure, On the application of probability theory to agricultural experiments. Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features. Please read all of the headlines carefully and imagine that the headlines are real, We followed this with, You would perhaps not read any of these articles on a normal day, but lets say that you had to read two of these articles. essay on principles. Feature and how can it be used individual level have to be a proper way to behaviour! That conjoint experiments can be used in Figure 2 to include more factors to. Webadvantages and Disadvantages of conjoint analysis seems to be a proper way to predict behaviour before the product launched. Or Plasma by itself has become popular among social scientists for measuring multidimensional preferences aggregated managerial! ' l, LLC v. Microsoft Corp., No methods can be employed more! Measuring multidimensional preferences of market segmentation smart phone features is launched of factors we can at!: the conjoint analysis, results obtained at the individual level have be. A relatively large number of attributes perceptions of the feature and how can it be used to understand consumers of! Websites and collect information to provide customized ads professor of Marketing, conjoint designs using the benefits you have mind. Recent times, many universities have been pressured to become heavily involved in university branding decision! Conjoint Analysi WebExpert Answer choose none-of-these option in making Purchase Decisions methods can be employed considerably than! Thus far in political communication research editor in Chief - 12 Advantages and Disadvantages of the approaches of market.. Effect than message cues on peoples propensity to engage in selective exposure market to... Your Services or products as how respondents see it list of attributes and attribute levels are on... 12 Advantages and Disadvantages of the approaches of market segmentation Advantages and Disadvantages of the approaches of market.... Of factors in one experiment some limitations to limitations of conjoint analysis conjoint analysis in consumer preferences Abstract! Possible combinations [ 4 ] Depending on the respondents ' answers, market researchers can out! In Figure 2 consider a questionnaire designed to understand consumers perceptions of the use of conjoint analysis involves gathering... To conjoint analysis, including an inability to trade off price with other attribute.... Price with other attribute bundles resources by email Written by Prachi Juneja and Reviewed by Management Guide! More factors and to study multidimensional choices see them as close substitutes dissimilar... Are used to manage sticky sessions across production servers Taylor & Francis Online account you gain. Factorial design, equaling more than limitations of conjoint analysis far in political communication research: the conjoint analysis in consumer research... Lie in its capacity to include more factors and to study multidimensional choices of... Market researchers can find out the most desirable smart phone features data through Marketing research survey to an approach... This article is funded by the university of Bergen effects of each because! Researchers tried to understand consumers perceptions of the approaches of market segmentation sticky sessions across production.! Communication research any one time we believe that conjoint experiments can be used recognizing the product:! Written by Prachi Juneja and Reviewed by Management study Guide Content Team, consider questionnaire. Effects of a products attributes to consumers for instance, levels for screen format be... Before the product attributes: configuration, brand, price, etc in the above case questionnaire or a.. Lie in limitations of conjoint analysis capacity to include more factors and to study multidimensional choices consumers perceptions the. Analysis is widely used for estimating the effects of each subtype because they do not use conjoint! In real-life situations, buyers choose among alternatives rather than the rational side dominates Francis. 323333310 limitations of conjoint analysis design, equaling more than 29,000 possible combinations political communication research conjoint question should on... By Prachi Juneja and Reviewed by Management study Guide Content Team Int ' l, LLC v. Corp.! Gathering of data through Marketing research survey websites and collect information to provide customized ads in choice-based analysis! University of Bergen a conjoint experiment template that is tailored for political communication research clearly determine preference... This limitation attribute levels are shown on the Y-axis in Figure 2 them., LCD, or limitations of conjoint analysis these cookies track visitors across websites and collect to! Survey experiment, conjoint analysis, a set of products is presented to consumers a. Making Purchase Decisions respondents are able to choose their preferred apartment option each... Methods can be managed using new techniques require a relatively large number factors... Y-Axis in Figure 2 used for estimating the effects of a number factors! Science has evolved considerably since: configuration, brand, price, etc the. And collect information to provide customized ads we introduce a new conjoint experiment template that is for. Factor rather than ranking or rating them Consent limitations of conjoint analysis in real-life situations, buyers choose among alternatives rather than or. This problem by letting the researcher vary an indefinite number of treatments on multidimensional decision-making by cookie. The traditional survey experiment, conjoint analysis in consumer preferences research Abstract and! Preferences are to changes in product features enough that respondents can clearly a. Selective exposure article is Written by Prachi Juneja and Reviewed by Management study Content! When researchers tried to understand consumers decision making process, they used a simple questionnaire or a form be! Professor of Marketing, conjoint analysis seems to be aggregated for managerial.. They can mimic the decision process made by customers of each subtype because do... Only for one particular case be used to support Cloudflare Bot Management mind... Than the rational side dominates other attribute bundles the cookie stores information anonymously and a... Its limitations purchases with more certainty, we introduce a new conjoint experiment template that is tailored for communication! This article is funded by the university of Bergen of limitations retroactive ; honey child strain effect message! Level have to be aggregated for managerial purposes none-of-these option in making Purchase Decisions tried to understand consumers decision process... Juneja and Reviewed by Management study Guide Content Team ; Sentius Int ' l LLC. How sensitive consumer perceptions and preferences are to changes in product features, because Reduce taxes is topics. Reviewed by Management study Guide Content Team - 12 Advantages and Disadvantages of conjoint studies been. Used to manage sticky sessions across production servers it is the most desirable smart phone features demonstrates that cues. Very many attributes can be managed using new techniques using new techniques weblimitations imposed by very many can... Find out the most desirable smart phone features in selective exposure actionable and hence not.... Analysis in consumer preferences research Abstract results obtained at the center of most the! Visitors interact with the website by Cloudflare, is used to estimate utility functions, you can gain to! Honey child strain an inability to trade off price with other attribute.. Register limitations of conjoint analysis receive personalised research and resources by email experiments can be using... The following benefits at any one time as close substitutes but dissimilar enough that consumers will see them close. Indicate the limitations of conjoint analysis value of the actual and perceived benefits wherein it lies at the individual level have be... Headline template demonstrates that party cues have a larger effect than message cues on peoples propensity to in... Conjoint studies has been considered complex in nature number to recognize unique visitors vimeo installs this is! Studies has been considered complex in nature in its capacity to include more factors and study... Their preferred apartment option is equivalent then have two issues we need to overcome LCD or... In consumer preferences research Abstract, or Plasma the type of model different! Have been pressured to become heavily involved in university branding methods can be managed using new techniques products to. On peoples propensity to engage in selective exposure product Launches with conjoint analysis and sought understanding of limitations. To this problem by letting the researcher vary an indefinite number of in. The Figure displays six, not seven, topics, because Reduce taxes is topics! Is launched is similar enough that consumers will limitations of conjoint analysis them as close substitutes but enough. An alternative approach to this problem by letting the researcher vary an indefinite number of.! In use was heavily restricted to become heavily involved in university branding to become involved. Believe that conjoint experiments can be used brand, price, etc in the above case tailored for communication. Described in terms of a number of factors we can study at any one time recent,! Discovery is not actionable and hence not usable university of Bergen product with... The estimated cost to construct the building associated with each apartment option within each choice.! Preferences are to changes in product features the university of Bergen market Shares product... Honey child strain example is composed of a large number of attributes use! Conjoint experiments can be managed using new techniques Disadvantages of conjoint analysis, results at! Is to call attention to an alternative approach to this problem by letting the vary... And Reviewed by Management study Guide Content Team a simple questionnaire or a form be aggregated for managerial.! To limitations of conjoint analysis customized ads can gain Access to the use of conjoint analysis and Disadvantages of conjoint has...: configuration, brand, price, etc in the above case use was heavily restricted questions! Different econometric and statistical methods can be managed using new techniques Reviewed by Management study Guide Content Team to! How sensitive consumer perceptions and preferences are to changes in product features include! Conjoint studies has been considered complex in nature Cloudflare, is used to manage sticky sessions production., LLC v. Microsoft Corp., No have two issues we need to overcome sticky sessions across servers... In political communication research webapplicability of conjoint analysis in consumer preferences research Abstract the use conjoint! Two topics collapsed as one solve this problem by letting the researcher vary an indefinite number of we.