This doctoral thesis aims to open a reflection on how to measure dynamics of change of psychological processes by presenting an application of the complexity framework to the meaning-making process. The first chapter fronts the challenge of how to conceptualize the meaning-making process, by conducting a systematic review of the literature that led toward the formulation of a new integrated conceptual definition of meaning-making. The second chapter presents the development of a new self-report measure of meaning in life (SMILE; situational meaning in life evaluation) that has been validated in a national representative sample and in a sample of emerging and young adults. The third chapter deals with the challenge of how to investigate the dynamics of change of the meaning-making process in the daily life by applying two state-of-the-art data analysis approaches, the Dynamic Structural Equation Models (DSEM) and the Multilevel Network Psychometric approach. Data from emerging and young adults were collected with a measurement burst design made of two daily diary studies during the COVID-19 pandemic. The role of individual factors (transitive condition in love and work), situational factors (positive vs negative events), and contextual factors (pandemic) as activators of the meaning-making process has also been investigated.
La tesi di dottorato si propone di aprire una riflessione su come misurare le dinamiche di cambiamento dei processi psicologici in ottica di complessità, presentando un’applicazione al processo di creazione di significato (meaning-making). Dopo la formulazione di una nuova definizione concettuale integrata del processo di meaning-making a seguito di una revisione sistematica (primo capitolo), si è sviluppata una nuova misura self-report del significato della vita (SMILE; situational meaning in life evaluation), validata in un campione rappresentativo nazionale e in un campione di giovani adulti emergenti (secondo capitolo). Il terzo capitolo ha visto la conduzione di due studi con l’utilizzo rispettivamente dei modelli dinamici di equazioni strutturali (DSEM) e l’approccio della Network Psychometric Analysis per indagare le dinamiche di cambiamento del processo di meaning-making nella vita quotidiana di giovani adulti che, durante la pandemia di Covid-19, hanno partecipato a due raccolte giornaliere (measurement burst design). In questi studi è stato indagato il ruolo di fattori individuali (condizione transitiva in amore e lavoro), situazionali (eventi positivi e negativi) e contestuali (pandemia) come attivatori del processo di meaning-making. Le evidenze raccolte mostrano come sia importante indagare i processi psicologici tenendo conto sia del cambiamento intra-soggetto nel tempo, sia delle differenze tra gli individui.
ZAMBELLI, MICHELA, INVESTIGATING DYNAMICS OF CHANGE OF PSYCHOLOGICAL PROCESSES WITHIN A COMPLEXITY FRAMEWORK: APPLICATION TO THE MEANING-MAKING PROCESS, COSTANTINI, GIULIO, TAGLIABUE, SEMIRA, FERRER, EMILIO, Università Cattolica del Sacro Cuore Milano:Ciclo XXXV [https://hdl.handle.net/10807/285132]
INVESTIGATING DYNAMICS OF CHANGE OF PSYCHOLOGICAL PROCESSES WITHIN A COMPLEXITY FRAMEWORK: APPLICATION TO THE MEANING-MAKING PROCESS
Zambelli, Michela
2023
Abstract
This doctoral thesis aims to open a reflection on how to measure dynamics of change of psychological processes by presenting an application of the complexity framework to the meaning-making process. The first chapter fronts the challenge of how to conceptualize the meaning-making process, by conducting a systematic review of the literature that led toward the formulation of a new integrated conceptual definition of meaning-making. The second chapter presents the development of a new self-report measure of meaning in life (SMILE; situational meaning in life evaluation) that has been validated in a national representative sample and in a sample of emerging and young adults. The third chapter deals with the challenge of how to investigate the dynamics of change of the meaning-making process in the daily life by applying two state-of-the-art data analysis approaches, the Dynamic Structural Equation Models (DSEM) and the Multilevel Network Psychometric approach. Data from emerging and young adults were collected with a measurement burst design made of two daily diary studies during the COVID-19 pandemic. The role of individual factors (transitive condition in love and work), situational factors (positive vs negative events), and contextual factors (pandemic) as activators of the meaning-making process has also been investigated.File | Dimensione | Formato | |
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