The article presents a reply to questions raised by Allport and Kerler (A&K) in their research note about theory and data in scale development. With the objective of creating a single scale consistent with an a priori construct definition, we choose principal components analysis as a means for initial data reduction. However, the study was indeed designed to have an initial set of items useful for data reduction or scale purification, as opposed to running tests to immediately suggest valid measures. An author suggested that the only way to evaluate the psychometric properties of the responses to rating scales with both positively and negatively worded items would be to use confirmatory factor analysis and structural equation model methods. Besides wording effects, A&K suggested that a response bias effect based on positive or negative framing might well be another possibility. To aid model improvement, the modification index for a parameter is an estimate of the amount by which the discrepancy function would decrease if the analysis were repeated with the constraints on that parameter removed.
Proper measurement is critical to the advancement of theory (Blalock 1979). Adaptive Structuration Theory (AST) is rapidly becoming an important theoretical paradigm for comprehending the impacts of advanced information technologies (DeSanctis and Poole 1994). Intended as a complement to the faithfulness of appropriation scale developed by Chin et al. (1997), this research note describes the development of an instrument to capture the AST construct of consensus on appropriation. Consensus on appropriation (COA) is the extent to which group participants perceive that they have agreed on how to adopt and use a technology. While consensus on appropriation is an important component of AST, no scale is currently available to capture this construct. This research note develops a COA instrument in the context of electronic meeting systems use. Initial item development, statistical analyses, and validity assessment (convergent, discriminant, and nomological) are described here in detail. The contribution of this effort is twofold: First, a scale is provided for an important construct from AST. Second, this report serves as an example of rigorous scale development using structural equation modeling. Employing rigorous procedures in the development of instruments to capture AST constructs is critical if the sound theoretical base provided by AST is to be fully exploited in understanding phenomena related to the use of advanced information technologies.
GDSS has enjoyed about a decade and a half of vigorous research activity. Throughout this time, a problem that has occupied the research community is the inconsistent research results that have been obtained. The purpose of this paper is to assess whether the reason for these inconsistencies is rooted in the epistemological mode that has prevailed and to offer an alternative epistemological lens that might help advance our understanding of GDSS use and research. Using qualitative research methods and a symbolic interactionist theoretical basis, this paper examines how a particular group used a GDSS over two meetings. The findings indicate that GDSS use may result in reactions from its users that are difficult to capture using conventional methodological assumptions, thereby helping explain why past results have not been consistent. Based on these findings, a shift in focus is advocated from an emphasis on the technology to an emphasis on human interaction, one that embraces the reasons underlying past inconsistencies rather than attempting to overcome them.
Adaptive Structuration Theory (AST) is rapidly becoming an influential theoretical perspective in research on advanced information technologies. However, there still exists a paucity of methods to capture critical AST constructs. This paper describes the development of an instrument to capture the extent to which users of an advanced information technology believe they have appropriated its structures faithfully. The development of such instruments is considered critical if the theoretical base provided by AST is to be fully exploited in under- standing the use of advanced information technologies. The development procedure, which occurred in the context of the use of an electronic meeting system, was carried out in three phases that began with initial item development and proceeded through an exploratory to a confirmatory phase. Three experiments, two in the exploratory phase and one in the confirmatory phase, were performed. In the final phase, structural equation modeling techniques were used to confirm the convergent, discriminant, and nomological validity of the resulting five-item scale.
Adaptive structuration theory (AST) provides a sound basis from which to study the use of group support systems (GSS). The need for a theoretical approach such as AST is especially urgent because it helps explain the process of GSS use, thereby providing insights into the reasons for inconsistent research results. This paper illustrates the development of a research model based on AST, and reports the results of a study conducted on the basis of this model. The independent variables in the study were task and technology. The model's process component was represented by the attitudes of group members toward the technology they used. The six attitude dimensions were obtained from AST as well as from other information technology researchers. The model was tested using the partial least squares (PLS) technique.