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Published in:
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2017 | OriginalPaper | Chapter

3. Assessing (Innocuous) Relationships

Authors : Willem Mertens, Amedeo Pugliese, Jan Recker

Published in: Quantitative Data Analysis

Publisher: Springer International Publishing

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Abstract

Have you ever submitted a research paper to an academic conference and had reviews come back? If so, you know that conference papers are scored on a range of criteria, including originality, clarity, significance, and methodology. Have you ever wondered which of these criteria really affects whether a paper is accepted or rejected for presentation at the conference?

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previous chapter Comparing Differences Across Groups
next chapter Models with Latent Concepts and Multiple Relationships: Structural Equation Modeling
Footnotes
1
The usual way of fitting is by minimizing the least squares, that is, the squared distances of error terms between any data point and the line, or the vertical distance between the line and a point, multiplied by itself.
 
2
The logit function computes the odds of the two binary outcomes happening for different levels of each independent variable. Then it takes the logarithm of the ratio of those odds (which is continuous but cannot be negative).
 
Literature
1.
Howell DC (2009) Statistical methods for psychology, 7th edn. Wadsworth Cengage Learning, Belmont, CA
2.
Rosemann M, Recker J, Vessey I (2010) An examination of IS conference reviewing practices. Commun Assoc Inf Syst 26:287–304
3.
Tabachnick BG, Fidell LS (2001) Using multivariate statistics, 4th edn. Allyn & Bacon, Boston, MA
4.
Recker J, Reijers HA, van de Wouw SG (2014) Process model comprehension: the effects of cognitive abilities, learning style, and strategy. Commun Assoc Inf Syst 34:199–222
Metadata
Title
Assessing (Innocuous) Relationships
Authors
Willem Mertens
Amedeo Pugliese
Jan Recker
Copyright Year
2017
Book
Quantitative Data Analysis

Print ISBN: 978-3-319-42699-0

Electronic ISBN: 978-3-319-42700-3

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-42700-3_3

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