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Quantitative data analysis = a compa...

Mertens, Willem.

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Quantitative data analysis = a companion for accounting and information systems research /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Quantitative data analysis/ by Willem Mertens, Amedeo Pugliese, Jan Recker.
Reminder of title:	a companion for accounting and information systems research /
Author:	Mertens, Willem.
other author:	Pugliese, Amedeo.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	x, 164 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Comparing differences across groups -- Assessing (innocuous) relationships -- Models with latent concepts and multiple relationships: structural equation modeling -- Nested data and multilevel models: hierarchical linear models -- Analyzing longitudinal and panel data -- Causality: Endogeneity biases and possible remedies -- How to start analyzing, test assumptions, and deal with that pesky p-value -- Keeping track and staying sane.
Contained By:	Springer eBooks
Subject:	Accounting - Statistical methods. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-42700-3
ISBN:	9783319427003

Quantitative data analysis = a companion for accounting and information systems research /
Mertens, Willem.

Quantitative data analysisa companion for accounting and information systems research /[electronic resource] :by Willem Mertens, Amedeo Pugliese, Jan Recker. - Cham :Springer International Publishing :2017. - x, 164 p. :ill., digital ;24 cm.

Introduction -- Comparing differences across groups -- Assessing (innocuous) relationships -- Models with latent concepts and multiple relationships: structural equation modeling -- Nested data and multilevel models: hierarchical linear models -- Analyzing longitudinal and panel data -- Causality: Endogeneity biases and possible remedies -- How to start analyzing, test assumptions, and deal with that pesky p-value -- Keeping track and staying sane.

This book offers postgraduate and early career researchers in accounting and information systems a guide to choosing, executing and reporting appropriate data analysis methods to answer their research questions. It provides readers with a basic understanding of the steps that each method involves, and of the facets of the analysis that require special attention. Rather than presenting an exhaustive overview of the methods or explaining them in detail, the book serves as a starting point for developing data analysis skills: it provides hands-on guidelines for conducting the most common analyses and reporting results, and includes pointers to more extensive resources. Comprehensive yet succinct, the book is brief and written in a language that everyone can understand - from students to those employed by organizations wanting to study the context in which they work. It also serves as a refresher for researchers who have learned data analysis techniques previously but who need a reminder for the specific study they are involved in.

ISBN: 9783319427003

Standard No.: 10.1007/978-3-319-42700-3doiSubjects--Topical Terms:

3216815
Accounting
--Statistical methods.

LC Class. No.: HD30.2

Dewey Class. No.: 658.4038

Quantitative data analysis = a companion for accounting and information systems research /
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245 1 0 $a Quantitative data analysis $h [electronic resource] : $b a companion for accounting and information systems research / $c by Willem Mertens, Amedeo Pugliese, Jan Recker.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a x, 164 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Comparing differences across groups -- Assessing (innocuous) relationships -- Models with latent concepts and multiple relationships: structural equation modeling -- Nested data and multilevel models: hierarchical linear models -- Analyzing longitudinal and panel data -- Causality: Endogeneity biases and possible remedies -- How to start analyzing, test assumptions, and deal with that pesky p-value -- Keeping track and staying sane.
520 $a This book offers postgraduate and early career researchers in accounting and information systems a guide to choosing, executing and reporting appropriate data analysis methods to answer their research questions. It provides readers with a basic understanding of the steps that each method involves, and of the facets of the analysis that require special attention. Rather than presenting an exhaustive overview of the methods or explaining them in detail, the book serves as a starting point for developing data analysis skills: it provides hands-on guidelines for conducting the most common analyses and reporting results, and includes pointers to more extensive resources. Comprehensive yet succinct, the book is brief and written in a language that everyone can understand - from students to those employed by organizations wanting to study the context in which they work. It also serves as a refresher for researchers who have learned data analysis techniques previously but who need a reminder for the specific study they are involved in.
650 0 $a Accounting $x Statistical methods. $3 3216815
650 0 $a Information resources management $x Statistical methods. $3 3216816
650 0 $a Quantitative research. $3 919734
650 1 4 $a Business and Management. $2 eflch $3 1485455
650 2 4 $a Business Information Systems. $3 892640
650 2 4 $a Information Systems and Communication Service. $3 891044
650 2 4 $a Corporate Governance. $2 swd $3 1246506
650 2 4 $a Methodology of the Social Sciences. $3 895565
650 2 4 $a Statistics for Business/Economics/Mathematical Finance/Insurance. $3 891081
700 1 $a Pugliese, Amedeo. $3 3216814
700 1 $a Recker, Jan. $3 2160149
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856 4 0 $u http://dx.doi.org/10.1007/978-3-319-42700-3
950 $a Business and Management (Springer-41169)