SHS Web Conf.
Volume 119, 20213rd International Conference on Quantitative and Qualitative Methods for Social Sciences (QQR’21)
|Number of page(s)||7|
|Section||Empirical Studies: Quantitative and Qualitative|
|Published online||24 August 2021|
- M. Wang, D. Beal, D. Chan, D. Newman, J. Vancouver, Vandenberg, longitudinal research: a panel discussion on conceptual issues, research design, and statistical techniques, in Work, Aging and Retirement, 3, 1–24 (2017) [CrossRef] [Google Scholar]
- B. Forgues, I. Vandangeon-Derumez, L. Garreau, Analyses longitudinals, in Thietart, 410–690 (2007) [Google Scholar]
- R. Polyhart, R. Vandenberg, Longitudinal research: the theory, design, and analysis of change, in Journal of Management, 36 (2010) [Google Scholar]
- S. Brown, K. Eisenhardt, The art of continuous change: linking complexity theory and time-paced evolution in relentlessly shifting organizations, in Administrative Science Quarterly, 42, 1–34 (1997) [CrossRef] [Google Scholar]
- M. Taylor, G. Audia, A. Gupta, The effect of lengthening job tenure on managers organizational commitment and turnover, Organization Science, 7, 632–648 (1996) [CrossRef] [Google Scholar]
- D. Pelz, Innovation complexity and the sequence of innovating stages, in Knowledge: Creation, Diffusion, Utilization, 6, 261–291 (1985) [Google Scholar]
- J. Shaver, W. Mitchell, B. Yeung, The effect of own –frm and other firm experience on foreign direct investment survival in the united states, in Strategic Management, 18, 811824 (1997). [Google Scholar]
- W. Orlikowski, J. Yates, It is about time: temporal structuring organizations, Organization Science, 13, 684–700 (2002) [CrossRef] [Google Scholar]
- K. Bollen, P. Curran, Latent curve models: a structural equation perspective, in Hoboken (2006) [Google Scholar]
- J. Singer, J. Willett, Applied longitudinal data analysis, New York: Oxford University Press (2003) [Google Scholar]
- S. Menard, Longitudinal research, Age university paper series on quantitative applications in the social sciences, Newbury Park, Sage (1991) [Google Scholar]
- T. Taris, Longitudinal data analysis, London, UK: Sage publications (2000) [Google Scholar]
- D. Rogosa, Myths and methods: Myths about longitudinal research plus supplemental questions, in The analysis of change, 3–66 (1995) [Google Scholar]
- E. Piper Deschenes, Longitudinal research designs, Measurement Issues in Criminology (1990) [Google Scholar]
- E. Wish, Identification of drug-abusing offenders: a guide of practitioners, Prosecutors Perspective, 2–3 (1987) [Google Scholar]
- J. Elliott, J. Holland, R. Thomson, Qualitative and Quantitative longitudinal research in Bickman, Handbook of social research methods, London/Thousand Oaks: Sage (2007) [Google Scholar]
- A. Pettigrew, What is aprocessual analysis?, Scandinavian Journal of Management, 13, 337–348 (1997) [CrossRef] [Google Scholar]
- M. Miles, A. Huberman, Analyzing qualitative data: a sourcebook for new methods, Beverly Hills, Sage (1979) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.