Development of Formative Constructs and Measurements for Performance Evaluation of Information Systems

Traditionally in IS studies, the relationship between construct and its measurement items tends to be assumed to be reflective, meaning that the measurements are a reflection of the construct. In reality, however, the nature of the construct can be often formative, which means that its measurement items describe and define the construct rather than vice versa. The purpose of this study was to investigate theoretical and empirically-analysed differences between formative construct and reflective construct through comprehensive interdisciplinary literature review. And then on the basis of these differences, we intended to derive the rule of specifying whether the construct is formative or reflective and propose the methodology of testing the validity(content validity, construct validity, internal consistency and external construct) of formative construct and its measurements, differentiated from that in the case of reflective construct. Also, we suggested the concrete statistical testing methods such as VTT(Vanishing Tetrad Test), MIMIC(Multiple Indicators and Multiple Causes) test and multi-collinearity test. In order to examine the applicability of this methodology to developing the constructs for performance evaluation of IS(Information Systems), we tried to identify its attribute(formative or reflective) and test the validity for the construct arbitrarily chosen among them which had been derived in our previous IS performance evaluation study by using this methodology. The result of the examination was that the methodology proposed in this study was significantly valid and effective in the area of IS performance evaluation.

[1]  Judy A. Siguaw,et al.  Formative versus Reflective Indicators in Organizational Measure Development: A Comparison and Empirical Illustration , 2006 .

[2]  Detmar W. Straub,et al.  Specifying Formative Constructs in Information Systems Research , 2007, MIS Q..

[3]  David F. Midgley,et al.  Formative versus reflective measurement models: two applications of formative measurement | NOVA. The University of Newcastle's Digital Repository , 2008 .

[4]  John R. Rossiter,et al.  The C-OAR-SE procedure for scale development in marketing , 2002 .

[5]  Kenneth A. Bollen,et al.  Conducting Tetrad Tests of Model Fit and Contrasts of Tetrad-Nested Models: A New SAS Macro , 2005 .

[6]  P. Bentler,et al.  Significance Tests and Goodness of Fit in the Analysis of Covariance Structures , 1980 .

[7]  K. Bollen Interpretational confounding is due to misspecification, not to type of indicator: comment on Howell, Breivik, and Wilcox (2007). , 2007, Psychological methods.

[8]  R. Bagozzi,et al.  On the nature and direction of relationships between constructs and measures. , 2000, Psychological methods.

[9]  Cheryl Burke Jarvis,et al.  A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research , 2003 .

[10]  A. Goldberger,et al.  Estimation of a Model with Multiple Indicators and Multiple Causes of a Single Latent Variable , 1975 .

[11]  R. P. McDonald,et al.  Structural Equations with Latent Variables , 1989 .

[12]  Detmar W. Straub,et al.  Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..

[13]  R. Burt Interpretational Confounding of Unobserved Variables in Structural Equation Models , 1976 .

[14]  D. Borsboom,et al.  The Theoretical Status of Latent Variables , 2003 .

[15]  Varun Grover,et al.  Investigating Two Contradictory Views of Formative Measurement in Information Systems Research , 2010, MIS Q..

[16]  Ryad Titah,et al.  Information System Use - Related Activity: An Expanded Behavioral Conceptualization of Individual-Level Information System Use , 2007, Inf. Syst. Res..

[17]  Wynne W. Chin,et al.  On the use, usefulness, and ease of use of structural equation modeling in MIS research: a note of caution , 1995 .

[18]  Ronald T. Cenfetelli,et al.  Interpretation of Formative Measurement in Information Systems Research , 2009, MIS Q..

[19]  Richard P. Bagozzi,et al.  Measurement and Meaning in Information Systems and Organizational Research: Methodological and Philosophical Foundations , 2011, MIS Q..

[20]  L. Cronbach Coefficient alpha and the internal structure of tests , 1951 .

[21]  Darshana Sedera,et al.  Formative and Reflective Measurement and Validation Mismatch in Survey Research: An Archival Analysis of Information Systems Success Constructs 1985-2007 , 2009, ICIS.

[22]  K. Bollen,et al.  A tetrad test for causal indicators. , 2000, Psychological methods.

[23]  H. Winklhofer,et al.  Index Construction with Formative Indicators: An Alternative to Scale Development , 2001 .

[24]  Gilbert A. Churchill A Paradigm for Developing Better Measures of Marketing Constructs , 1979 .

[25]  Kwok-fai Ting,et al.  CONFIRMATORY TETRAD ANALYSIS , 1993 .

[26]  C. Spearman General intelligence Objectively Determined and Measured , 1904 .

[27]  Donald J. Treiman,et al.  Social Participation and Social Status , 1968 .

[28]  Kenneth A. Bollen,et al.  Overall Fit in Covariance Structure Models: Two Types of Sample Size Effects , 1990 .

[29]  D. Borsboom,et al.  The concept of validity. , 2004, Psychological review.

[30]  R. Lennox,et al.  Conventional wisdom on measurement: A structural equation perspective. , 1991 .

[31]  R. MacCallum,et al.  The use of causal indicators in covariance structure models: some practical issues. , 1993, Psychological bulletin.

[32]  K. Law,et al.  Multidimensional constructs in structural equation analysis: An illustration using the job perception and job satisfaction constructs , 1999 .