Podcast discussing Chapter 12 How to Conduct Quant Analysis Part IV Advanced Techniques











>> YOUR LINK HERE: ___ http://youtube.com/watch?v=ckdCKlXx0Fw

This podcast discusses Chapter 12, “How to Conduct Quantitative Analysis, Part IV: Advanced Techniques.” You will learn the goals of using market basket analysis (MBA); the benefits of using MBA, including how it allows for inductive theorizing, can address contingency relationships, does not rely on assumptions that are often violated when using regression-based techniques, allows for the use of data often considered “unusable” and “messy,” can help build dynamic theories, is suited to examine relationships across levels of analysis, and is practitioner-friendly; the steps involved in market basket analysis, including determining the suitability of MBA, defining the “transactions,” collecting data, checking MBA requirements, and deriving association rules and their strength; the goals of Experience Sampling Methodology (ESM); the benefits of ESM, including capturing dynamic person-by-situation interactions over time, enhancing ecological validity, and allowing for an examination of between- and within-person variability; the steps necessary to design and implement ESM, including determining the sample size, scheduling, signaling devices, recruiting participants, and data analysis; the advantages of Bayesian analysis over frequentist analysis, including using prior knowledge, the joint distribution of parameters, assessment of null hypothesis, ability to test complex models, unbalanced or small sample sizes, multiple comparisons, and power analysis and replication probability; the steps to implement Bayesian multiple linear regression, including establishing the prior distribution, computing the posterior distribution, accepting the null value, and summarizing Bayesian analysis’s rich information, and more. Get the book at https://collegepublishing.sagepub.com...

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