REFERENCES
- Aguinis H. 1995. Statistical power problems with moderated multiple regression in management research. J Manage Res. 21:1141–1158.
- Agyei DD, Joke M, Voogt JM. 2011. Exploring the potential of the will, skill, tool model in Ghana: Predicting prospective and practicing teachers’ use of technology. Comput Educ. 56:91–100.
- Aiken LS, West SG. 1991. Multiple regression: Testing and interpreting interactions. Newbury Park, CA: Sage.
- Bagozzi RP, Yi Y, Phillips LW. 1991. Assessing construct validity in organizational research. Administrative Science Q. 36:421–458.
- Baron RM, Kenny DA. 1986. The moderator-mediator distinction in social psychological research: Conceptual, strategic, and statistical considerations. J Personality Social Psychol. 51:1173–1182.
- Brinkerhoff J. 2006. Effects of a long-duration, professional development academy on technology skills, computer self-efficacy, and technology integration beliefs and practices. J Res Technol Educ. 39:22–43.
- Brown SA, Dennis AR, Venkatesh V. 2010. Predicting collaboration technology use: Integrating technology adoption and collaboration research. J Manage Inf Syst. 27:9–53.
- Cenfetelli RT, Ronald T, Bassellier G. 2009. Interpretation of formative measurement in information systems research. MIS Q. 33:689–708.
- Cohen. 1988. J. Statistical Power Analysis for the Behavioral Sciences (second edition). Lawrence Erlbaum Associates.
- Crowther F, Kaagan S, Ferguson M, Hann L. 2002. Developing teacher leaders: How teacher leadership enhances school success. Thousand Oaks: Corwin Press.
- Ertmer PA. 1999. Addressing first-and second-order barriers to change: Strategies for technology integration. Educ Technol Res Dev. 47:47–61.
- Galanouli D, Murphy C, Gardner J. 2004. Teachers’ perceptions of the effectiveness of ICT-Competence training. Comput Educ. 43:63–79.
- Garfield M. 2005. Acceptance of ubiquitous computing. Inf Syst Manage. 22:24–31.
- Guerrero S, Walker N, Dugdale S. 2004. Technology in support of middle grade mathematics: What have we learned?” J Comput Math Sci Teach. 23:5–20.
- Hair JF. 2009. Multivariate data analysis. DigitalCommons@Kennesaw State University.
- Heifetz R. 1994. Leadership without Easy Answers. Cambridge: Belnap Press.
- Hew KF, Brush T. 2007. Integrating technology into K-12 teaching and learning: Current knowledge gaps and recommendations for future research. Educ Technol Res Dev. 55:223–252.
- Iacobucci D, Duhachek A. 2003. Mediation Analysis – Round Table acr2003, Roundtable Presentation. ACR Conference, Toronto, ACR Conference.
- Igbaria M, Guimaraes T, Davis GB. 1995. Testing the determinants of microcomputer usage via a structural equation model. J Manage Inf Syst. 11:87–114.
- Igbaria M, Zinatelli N, Cragg P, Cavaye AL. 1997. Personal computing acceptance factors in small firms: A structural equation model. MIS Q. 21:279–305.
- Jarvis CB, MacKenzie SB, Podsakoff P. 2003. A critical review of construct indicators and measurement model misspecification in marketing and consumer research. J Consumer Res. 30:199–218.
- Kebritchi M. 2010. Factors affecting teachers’ adoption of educational computer games: A case study. British J Educ Technol. 41:256–270.
- Knezek G, Christensen R. 2002. Impact of new information technologies on teachers and students. Educ Inf Technol. 7:369–376.
- Knezek G, Christensen R, Hancock R, Shoho A. 2000. Toward a structural model of technology integration. Hawaii Educational Research Association Annual Conference. Honolulu, HI.
- Kobelsky K, Larosiliere G, Plummer E. 2014. The impact of information technology on performance in the not-for-profit sector. Int J Accounting Inf Syst. 15:47–65.
- Larosiliere GD, Carter L. 2013. An empirical study on the determinants of e-government maturity: A fit-viability perspective. Proceedings of the 21st European Conference on Information Systems (ICIS), 2013, Paper 217. Available at: http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1440&context=ecis2013_cr
- Leidner DE, Jarvenpaa SL. 1995. The use of information technology to enhance management school education: A theoretical view. MIS Q. 19:265–291.
- Lim CP, Khine MS. 2006. Managing teachers’ barriers to ICT integration in singapore schools. J Technol Teach Educ. 14:97–125.
- Lindell MK, Whitney DJ. 2001. Accounting for common method variance in cross-sectional research designs. J Appl Psychol. 86:114–121.
- Markus L. 1987. Toward a `Critical Mass’ theory of interactive media, universal access, interdependence and diffusion. Commun Res. 14:491–511.
- McHaney RW. 2011. The New Digital Shoreline: How Web 2.0 and Millennials are Revolutionizing Higher Education. Sterling, VA.: Stylus.
- Michael SO. 1998. Best practices in information technology (IT) management: Insights from K-12 Schools’ Technology Audits. Int J Educ Manage. 12:277–288.
- Pelgrum WJ. 2001. Obstacles to the integration of ICT in education: Results from a worldwide educational assessment. Comput Educ. 37:163–178.
- Petter S, Straub DW, Rai A. 2007. Specifying formative constructs in information systems research. MIS Q. 31:623–656.
- Podsakoff PM, Organ DW. 1986. Self-Reports in organizational research: problems and prospects. J Manage. 12:531–544.
- Prescott MB, Conger SA. 1995. Information technology innovations: A classification by IT locus of impact and research approach. ACM SIGMIS Database. 26:20–41.
- Sobel ME. 1982. Asymptotic confidence intervals for indirect effects in structural equation models. In: S Leinhart, editor. Sociological Methodology. Washington DC: American Sociological Association; p. 290–312.
- Tan SC, Aloysius KK. 2011. Distributed leadership for integration of information and communications technology (ICT) in schools. Proceedings ASCILITE 2011, Changing Demands. Changing Directions: p. 1204–1214.
- TEA-Staff. 2013. Campus Staff Information. Retrieved November 14, 2013, from http://ritter.tea.state.tx.us/perfreport/aeis/2011/xplore/cstaf.html,
- Teo T, Van Schaik P. 2009. Understanding technology acceptance in Pre-Service teachers: A structural-equation modeling approach. Asia-Pacific Educ Res. 18:47–66.
- Texas Education Agency. 2010a. Instructional Materials and Educational Technology Division.Star Chart Summary Statistics.Retrieved November 14, 2013, from http://starchart.esc12.net/statistics.html,
- Texas Education Agency. 2010b). The 2006–2010 Texas Campus STaR Chart. Retrieved November 14, 2013, from http://starchart.esc12.net/,
- Texas Education Agency. 2010c. The 2006–2010 Texas Campus STaRChart. State of Texas.
- The Boston Consulting Group. 2010. Unleashing the potential of technology in education. White Paper. Retrieved November 14, 2013, from http://bcg.com, August.
- Thompson RL, Higgins CA, Howell JM. 1991. Personal computing toward a conceptual model of utilization. MIS Q. 15:125–143.
- Tondeur J, van Keer H, van Braak J, Valck M. 2008. ICT integration in the classroom: Challenging the potential of a school policy. Comput Educ. 51:212–223.
- Torkzadeh G, Dwyer DJ. 1994. A path analytic study of determinants of information system usage. Omega. 22:339–348.
- U.S. Department of Education. 2010. National Education Technology Plan. Retrieved November 14, 2013, from http://www.ed.gov/technology/netp-2010.
- U.S. Department of Education. 2012. Enhancing Education through Technology Program. Retrieved November 14, 2013, from http://www2.ed.gov/programs/edtech/index.html,
- vanSchaik P. 2009. Unified theory of acceptance and use for websites used by students in higher education. J Educ Comput Res. 40:229–257.
- Vander Ark T. 2009. Private capital and private education: Toward quality at scale. The Future of American Education Working Paper Series, Ed. Frederick M. Hess, American Enterprise Institute. Retrieved November 14, 2013, from https://eia.memberclicks.net/assets/2009%20privatecapitalandpubliceducation2009.pdf.
- Venkatesh V, Morris MG, Davis GB, Davis FD. 2003. User acceptance of information technology: Toward a unified view. MIS Q. 37:425–478.