TY - JOUR
T1 - An NCME instructional module on
T2 - Introduction to structural equation modeling: Issues and practical considerations
AU - Lei, Pui Wa
AU - Wu, Qiong
PY - 2007/9
Y1 - 2007/9
N2 - Structural equation modeling (SEM) is a versatile statistical modeling tool. Its estimation techniques, modeling capacities, and breadth of applications are expanding rapidly. This module introduces some common terminologies. General steps of SEM are discussed along with important considerations in each step. Simple examples are provided to illustrate some of the ideas for beginners. In addition, several popular specialized SEM software programs are briefly discussed with regard to their features and availability. The intent of this module is to focus on foundational issues to inform readers of the potentials as well as the limitations of SEM. Interested readers are encouraged to consult additional references for advanced model types and more application examples.
AB - Structural equation modeling (SEM) is a versatile statistical modeling tool. Its estimation techniques, modeling capacities, and breadth of applications are expanding rapidly. This module introduces some common terminologies. General steps of SEM are discussed along with important considerations in each step. Simple examples are provided to illustrate some of the ideas for beginners. In addition, several popular specialized SEM software programs are briefly discussed with regard to their features and availability. The intent of this module is to focus on foundational issues to inform readers of the potentials as well as the limitations of SEM. Interested readers are encouraged to consult additional references for advanced model types and more application examples.
UR - http://www.scopus.com/inward/record.url?scp=34548577717&partnerID=8YFLogxK
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U2 - 10.1111/j.1745-3992.2007.00099.x
DO - 10.1111/j.1745-3992.2007.00099.x
M3 - Article
AN - SCOPUS:34548577717
SN - 0731-1745
VL - 26
SP - 33
EP - 43
JO - Educational Measurement: Issues and Practice
JF - Educational Measurement: Issues and Practice
IS - 3
ER -