Grabowski, J. L. (2022) Exploring Identity Dynamics and its Impact using Non-Linear Techniques. Research Master thesis, Research Master.
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Abstract
Identity has been extensively studied and its fluctuating uncertain development in response to our experiences has been pointed out. Nonetheless, proper nonlinear complexity analysis of identity and its impact is missing. In this proof of concept study, the non-linear dynamics of identity variables and a well-established related variable, well-being, are being examined. This study included a three-month daily data collection phase, but only one participant’s time series was analyzed in the end. The time series of the variables were analyzed using Cross-Recurrence-Quantification Analysis to look for signs of deterministic coupling and unpredictability. The data supports non-linear coupling between identity variables and well-being but fails to find decisive evidence for unpredictability. While the generalisability of the results is questionable, novel techniques are applied and results are congruent with contemporary identity research. The appropriateness of the technique and further research are discussed.
| Item Type: | Thesis (Research Master) |
|---|---|
| Supervisor name: | Gaag, M.A.E. van der |
| Degree programme: | Research Master |
| Differentiation route: | Lifespan Development and Socialization [Research Master] |
| Date Deposited: | 08 Dec 2022 14:17 |
| Last Modified: | 08 Dec 2022 14:17 |
| URI: | http://gmwpublic.studenttheses.ub.rug.nl/id/eprint/1489 |
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