Sawtooth Software ProductsACA Technical Paper ACA/HB Technical Paper Advanced Simulation Module (ASM) Technical Paper CBC Technical Paper CBC Advanced Design Module Technical Paper CBC Latent Class Technical Paper CBC/HB Technical Paper CCA Technical Paper CPM Technical Paper CVA Technical Paper CVA/HB Technical Paper HB-Reg Technical Paper MaxDiff/Web Technical paper General Conjoint AnalysisUnderstanding Conjoint Analysis in 15 Minutes Managerial Overview of Conjoint Analysis Helping Managers Understand the Value of Conjoint Which Conjoint Method Should I Use?Interpreting Conjoint Analysis Data A Short History of Conjoint Analysis Analysis of Traditional Conjoint Using Excel: An Introductory Example Including Holdout Choice Tasks in Conjoint Studies Conducting Full-Profile Conjoint Analysis over the Internet Sample Size Issues for Conjoint Analysis Studies Assessing the Monetary Value of Attribute Levels with Conjoint Analysis: Warnings and Suggestions Commercial Use of Conjoint Analysis in Europe: Results and Critical Reflections Assessing the Validity of Conjoint Analysis--Continued What We Have Learned from 20 Years of Conjoint Research: When to Use Self-Explicated, Graded Pairs, Full Profiles or Choice Experiments Conjoint Analysis: How We Got Here and Where We Are --An Update The Number of Levels Effect in Conjoint: Where Does It Come From, and Can It Be Eliminated? Conjoint Analysis: Bridging the Gap between Shares of Choice and Market SharesConjoint Analysis: Thirty-Something and Counting Adaptive Conjoint Analysis (ACA)History of ACA Staying Out of Trouble with ACA Perspectives on the Recent Debate over Conjoint Analysis and Modeling Preferences with ACA Accuracy of Utility Estimation in ACA Validation of Adaptive Conjoint Analysis (ACA) Versus Standard Concept Testing The "Importance" Question in ACA: Can It Be Omitted? Reducing the Number-of-Attribute-Levels Effect in ACA with Optimal Weighting An Empirical Comparison of ACA and Full Profile Judgments Calibrating Price in ACA: The ACA Price Effect and How to Manage It Multistage Conjoint Methods to Measure Price Sensitivity Scaling Prior Utilities in Sawtooth Software's Adaptive Conjoint Analysis Within- and Across-Attribute Constraints in ACA and Full Profile Conjoint Analysis Choice-Based Conjoint (CBC)Using Choice-Based Conjoint To Assess Brand Strength and Price Sensitivity Using Conjoint Analysis in Pricing Studies: Is One Price Variable Enough? Getting The Most From CBC The Benefits of Accounting for Respondent Heterogeneity in Choice Modeling Comment on Huber: Practical Suggestions for CBC Studies Special Features of CBC Software for Packaged Goods and Beverage Research Predicting Actual Sales with CBC: How Capturing Heterogeneity Improves Results How Many Questions Should You Ask in Choice-Based Conjoint Studies? Extensions to the Analysis of Choice Studies Achieving Individual-Level Predictions from CBC Data: Comparing ICE and Hierarchical Bayes Learning Effects in Preference Tasks: Choice-Based Versus Standard Conjoint Adaptive Choice-Based Conjoint A Second Test of Adaptive Choice-Based Conjoint Analysis (The Surprising Robustness of Standard CBC Designs)Testing Adaptive Choice-Based Conjoint Designs Market SimulationsIntroduction to Market Simulators for Conjoint Analysis Dealing with Product Similarity in Conjoint Simulations External Effect Adjustments in Conjoint Analysis Comparing Hierarchical Bayes Draws and Randomized First Choice for Conjoint Simulations Design of Conjoint ExperimentsAn Overview and Comparison of Design Strategies for Choice-Based Conjoint Analysis Efficient Experimental Designs Using Computerized Searches Perceptual MappingProduct Mapping with Perceptions and Preferences MaxDiff (Best/Worst) ScalingMaximum Difference Scaling: Improved Measures of Importance and Preference for Segmentation The Options Pricing Model: An Application of Best-Worst Measurement Adaptive Maximum Difference Scaling Testing for the Optimal Number of Attributes in MaxDiff Questions MaxDiff Experiment designer Accuracy of HB Estimation in MaxDiff Experiments Hierarchical Bayes EstimationHierarchical Bayes: Why All the Attention? Understanding HB: An Intuitive Approach New Advances Shed Light on HB Anomalies One Size Fits All or Custom Tailored: Which HB Fits Better? The Joys and Sorrows of Implementing HB Methods for Conjoint Analysis Monotonicity Constraints in Choice-Based Conjoint with Hierarchical Bayes Perspectives Based on 10 Years of HB in Marketing Research Past Conference Proceedings(Current 2006 Proceedings available by ordering from Sawtooth Software: Book $75. PDF file on CD-ROM (or download option) $25.) 1997 Sawtooth Software Proceedings 1999 Sawtooth Software Proceedings 2000 Sawtooth Software Proceedings 2001 Sawtooth Software Proceedings 2003 Sawtooth Software Proceedings 2004 Sawtooth Software Proceedings
