Author List: Petter, Stacie; Straub, Detmar; Rai, Arun;
MIS Quarterly, 2007, Volume 31, Issue 4, Page 623-656.
While researchers go to great lengths to justify and prove theoretical links between constructs, the relationship between measurement items and constructs is often ignored. By default, the relationship between construct and item is assumed to be reflective, meaning that the measurement items are a reflection of the construct. Many times, though, the nature of the construct is not reflective, but rather formative. Formative constructs occur when the items describe and define the construct rather than vice versa. In this research, we examine whether formative constructs are indeed being mistaken for reflective constructs by information systems researchers. By examining complete volumes of MIS Quarterly and Information Systems Research over the last 3 years, we discovered that a significant number of articles have indeed misspecified formative constructs. For scientific results to be valid, we argue that researchers must properly specify formative constructs. This paper discusses the implications of different patterns of common misspecifications of formative constructs on both Type I and Type II errors. To avoid these errors, the paper provides a roadmap to researchers to properly specify formative constructs. We also discuss how to address formative constructs within a research model after they are specified.
Keywords: Formative constructs; reflective constructs; composite constructs; latent constructs; measurement models; methodology; statistical conclusion validity; Type I and Type II errors
Algorithm:

List of Topics

#11 0.471 structural pls measurement modeling equation research formative squares partial using indicators constructs construct statistical models researchers latent analysis results sem
#38 0.131 editorial article systems journal information issue introduction research presents editors quarterly author mis isr editor new associate board senior review
#102 0.119 choice type functions nature paper literature particular implications function examine specific choices extent theoretical design discussion value widely finally adopted
#236 0.068 form items item sensitive forms variety rates contexts fast coefficients meaning higher robust scores hardware providing compared single complete subgroups
#17 0.058 empirical model relationships causal framework theoretical construct results models terms paper relationship based argue proposed literature issues assumptions provide suggest
#209 0.053 results study research information studies relationship size variables previous variable examining dependent increases empirical variance accounting independent demonstrate important addition