Exam 12: Advanced Topics, research Frontiers, and Preparing the Final Report

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The Heckman model can be thought of in terms of two equations: a "selection model" and a "prediction model."

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Running a separate regression model for each person would yield the best results and effectively deal with heterogeneity.We do not do this for all of the following reasons except

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_______________ occurs when researchers pre-screen potential participants on an outcome variable.

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If a sample is collected through a non-random means,it is likely to have a selection bias.

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The most common type of selection bias correction model used by researchers is the

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One of the most important analytical advances in marketing research in recent years has been the advent of hierarchical models and Bayesian estimation.

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In terms of presenting the research results in the written paper,objectivity refers to the lack of bias while framing the results so as to make them palatable to management.

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In the Heckman model,if the selection model and the prediction model are estimated separately,the two errors remain uncorrelated,and selection bias is automatically controlled for.

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Generally speaking,selection biases are the most problematic when items are selected based on values of the outcome variables.

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Identify the 4 items that should be summarized in the executive summary section of a written research report.

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All of the following are data-based selection biases except

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The following results from the Application Case Study presented in the text show means for selection of movies (Selection Distribution) and how they were rated (Prediction Distribution). Refer to this table to answer the following questions. Hierarchical Bayes Sample Selection Model for Movie Ratings Predictions  The following results from the Application Case Study presented in the text show means for selection of movies (Selection Distribution) and how they were rated (Prediction Distribution). Refer to this table to answer the following questions. Hierarchical Bayes Sample Selection Model for Movie Ratings Predictions    -Which type of movie is rated the highest? -Which type of movie is rated the highest?

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The problem of selection bias was long been recognized by statisticians as a problem until the introduction of the

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The coefficients of selection bias correction models will automatically correct for any selection bias if the

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In the equation Yi=αj+βjXj+εjY _ { i } = \alpha _ { j } + \beta _ { j } X _ { j } + \varepsilon _ { j } ,how do the various variables and coefficients relate to heterogeneity?

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What increasingly common web feature uses a Heckman model to correct of massive amounts of missing data,parameter heterogeneity,and Bayesian estimation methods?

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The following results from the Application Case Study presented in the text show means for selection of movies (Selection Distribution) and how they were rated (Prediction Distribution). Refer to this table to answer the following questions. Hierarchical Bayes Sample Selection Model for Movie Ratings Predictions  The following results from the Application Case Study presented in the text show means for selection of movies (Selection Distribution) and how they were rated (Prediction Distribution). Refer to this table to answer the following questions. Hierarchical Bayes Sample Selection Model for Movie Ratings Predictions    -Which gender is less likely to select a movie? -Which gender is less likely to select a movie?

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To illustrate multiple comparisons and complex relationships,the best illustrative aid to use is

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With the Markov chain Monte Carlo method of estimating parameters,the process finds the best fit for each parameter before it moves on to the next parameter.

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Name the two main types of heterogeneity models.

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