國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Quantitative data analysisa companio...

Mertens, Willem.

Quantitative data analysisa companion for accounting and information systems research /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Quantitative data analysisby Willem Mertens, Amedeo Pugliese, Jan Recker.
其他題名:	a companion for accounting and information systems research /
作者:	Mertens, Willem.
其他作者:	Pugliese, Amedeo.
出版者:	Cham :Springer International Publishing :2017.
面頁冊數:	x, 164 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	AccountingStatistical methods.
電子資源:	http://dx.doi.org/10.1007/978-3-319-42700-3
ISBN:	9783319427003$q(electronic bk.)

Quantitative data analysisa 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$q(electronic bk.)

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

769803
Accounting
--Statistical methods.

LC Class. No.: HD30.2

Dewey Class. No.: 658.4038

Quantitative data analysisa companion for accounting and information systems research /
LDR:02489nmm a2200313 a 4500 001 504813
003 DE-He213
005 20160929155750.0
006 m d
007 cr nn 008maaau
008 171030s2017 gw s 0 eng d
020 $a 9783319427003$q(electronic bk.)
020 $a 9783319426990$q(paper)
024 7 $a 10.1007/978-3-319-42700-3 $2 doi
035 $a 978-3-319-42700-3
040 $a GP $c GP
041 0 $a eng
050 4 $a HD30.2
072 7 $a KJQ $2 bicssc
072 7 $a COM005030 $2 bisacsh
082 0 4 $a 658.4038 $2 23
090 $a HD30.2 $b .M575 2017
100 1 $a Mertens, Willem. $3 769801
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 769803
650 0 $a Information resources management $x Statistical methods. $3 769804
650 0 $a Quantitative research. $3 367894
650 1 4 $a Business and Management. $2 eflch $3 639169
650 2 4 $a Business Information Systems. $3 274346
650 2 4 $a Statistics for Business/Economics/Mathematical Finance/Insurance. $3 274062
650 2 4 $a Information Systems and Communication Service. $3 274025
650 2 4 $a Corporate Governance. $2 swd $3 477867
650 2 4 $a Methodology of the Social Sciences. $3 275266
700 1 $a Pugliese, Amedeo. $3 769802
700 1 $a Recker, Jan. $3 510618
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-42700-3
950 $a Business and Management (Springer-41169)