Statistical techniques for analyzing of soil vapor intrusion data: A case study of manufactured gas plant sites

2012 ◽  
Vol 63 (2) ◽  
pp. 219-229 ◽  
Author(s):  
Anshuman Singh ◽  
Edward F. Neuhauser ◽  
Nicholas A. Azzolina ◽  
Mark Distler ◽  
Krista M. Anders ◽  
...  
Keyword(s):  
Statistical Techniques ◽  
Vapor Intrusion ◽  
Manufactured Gas Plant ◽  
Soil Vapor Intrusion

Web 2.0 Technologies and Marketing

2017 ◽  
pp. 733-755
Author(s):  
Dora Simões ◽  
Sandra Filipe
Keyword(s):  
Higher Education ◽  
Social Media ◽  
Web 2.0 ◽  
Social Media Marketing ◽  
Statistical Techniques ◽  
Brand Knowledge ◽  
Media Type ◽  
Use Of Social Media ◽  
Portuguese Higher Education

This chapter reports on the use of social media marketing by pre-adults, setting off from a case study of pre-adults of different courses at a Portuguese higher education school. Data were collected through a questionnaire available online and analyzed with descriptive statistical techniques. Based on the pointed outlines, the aim is to evaluate longitudinally the types of social media used by pre-adults, the contexts in which they use each social media type, their opinions about the intentions of social media marketing and the influences of social media marketing on their brand knowledge, attitude and behaviour. Tendencies around concepts, tools and levels of attraction by the audiences, with focus on relationship marketing in the 2.0 era are revisited. Furthermore, the chapter presents the perception of pre-adults about social media marketing, and contributes with critical information that might help cast light over recent theories and practices of social media marketing.

Do all roads lead to Rome?: Modeling register variation with factor analysis and discriminant analysis

2018 ◽  
Vol 14 (2) ◽  
pp. 233-273 ◽  
Author(s):  
Jesse Egbert ◽  
Douglas Biber
Keyword(s):  
Factor Analysis ◽  
Discriminant Analysis ◽  
Canonical Discriminant Analysis ◽  
Statistical Techniques ◽  
Systematic Relationship ◽  
Case Study Analysis ◽  
Register Variation ◽  
Analysis Of Variation ◽  
Occurrence Patterns

Abstract Previous theoretical and empirical research on register variation has argued that linguistic co-occurrence patterns have a highly systematic relationship to register differences, because they both share the same functional underpinnings. The goal of this study is to test this claim through a comparison of two statistical techniques that have been used to describe register variation: factor analysis (as used in Multi-Dimensional analysis, MDA) and canonical discriminant analysis (CDA). MDA and CDA have different statistical bases and thus give priority to different analytical considerations: linguistic co-occurrence in the case of MDA and the prediction of register differences in the case of CDA. Thus, there is no statistical reason to expect that the two techniques, if applied to the same corpus, will produce similar results. We hypothesize that although MDA and CDA approach register variation from opposite sides, they will produce similar results because both types of statistical patterns are motivated by underlying discourse functions. The present paper tests this claim through a case-study analysis of variation among web registers, applying MDA and CDA to analyze register variation in the same corpus of texts.

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