A Methodology for Developing Normalized Formative Indices Using Messy Data Completed Research

Gary F. Templeton; Laurie Burney; Martin Kang

A Methodology for Developing Normalized Formative Indices Using Messy Data Completed Research

Gary F. Templeton, Laurie Burney, Martin Kang

Information Systems and Business Analytics

Mississippi State University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	25th Americas Conference On Information Systems (amcis 2019)
Number of pages	10
State	Published - 2019

Keywords

Formative index
Formative construct
Methodology
Normalize
Structural equation modeling

Cite this

@inproceedings{f20eb676cf8d41e29267866028c1b30c,

title = "A Methodology for Developing Normalized Formative Indices Using Messy Data Completed Research",

keywords = "Formative index, Formative construct, Methodology, Normalize, Structural equation modeling",

author = "Templeton, {Gary F.} and Laurie Burney and Martin Kang",

year = "2019",

language = "English",

booktitle = "25th Americas Conference On Information Systems (amcis 2019)",

}

TY - GEN

T1 - A Methodology for Developing Normalized Formative Indices Using Messy Data Completed Research

AU - Templeton, Gary F.

AU - Burney, Laurie

AU - Kang, Martin

PY - 2019

Y1 - 2019

KW - Formative index

KW - Formative construct

KW - Methodology

KW - Normalize

KW - Structural equation modeling

UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=lmupure2024&SrcAuth=WosAPI&KeyUT=WOS:000712432700028&DestLinkType=FullRecord&DestApp=WOS_CPL

M3 - Conference contribution

BT - 25th Americas Conference On Information Systems (amcis 2019)

ER -

A Methodology for Developing Normalized Formative Indices Using Messy Data Completed Research

Keywords

Other files and links

Cite this