Psychometric validation of the survey of autobiographical memory: confirmatory factor analysis and network analysis.
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| Title: | Psychometric validation of the survey of autobiographical memory: confirmatory factor analysis and network analysis. |
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| Authors: | Picco, Soledad (AUTHOR), Pedreira, Maria E. (AUTHOR), Fernández, Rodrigo S. (AUTHOR) |
| Source: | Memory. Sep2020, Vol. 28 Issue 8, p1037-1050. 14p. |
| Subjects: | Autobiographical memory, Confirmatory factor analysis, Factor structure, Individual differences |
| Abstract: | Autobiographical memory (AM) represents the ability to remember personal experiences. There are several laboratory or neuropsychological tasks to assess different aspects of memory function. However, there has been little research on self-reported AM ability. The Survey of Autobiographical Memory (SAM) is a self-report questionnaire, developed to assess individual differences in AM. Evidence for the factor structure and network properties of the SAM is still needed. Here, using an integral approach, we validated the SAM using a Multiple Correspondence Analysis (Study 1) as in the original study, a Confirmatory Factor Analysis (Study 2), and a Network Analysis (Study 3) using two large independent samples (total n = 2896). We first replicated the original findings, then confirmed the existence of 4 factors and found that the Episodic and Semantic categories were the most central ones. Finally, we found between "groups" differences for Gender and Anxiety. Overall, three different methods revealed a robust profile of the SAM. [ABSTRACT FROM AUTHOR] |
| Copyright of Memory is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | Autobiographical memory (AM) represents the ability to remember personal experiences. There are several laboratory or neuropsychological tasks to assess different aspects of memory function. However, there has been little research on self-reported AM ability. The Survey of Autobiographical Memory (SAM) is a self-report questionnaire, developed to assess individual differences in AM. Evidence for the factor structure and network properties of the SAM is still needed. Here, using an integral approach, we validated the SAM using a Multiple Correspondence Analysis (Study 1) as in the original study, a Confirmatory Factor Analysis (Study 2), and a Network Analysis (Study 3) using two large independent samples (total n = 2896). We first replicated the original findings, then confirmed the existence of 4 factors and found that the Episodic and Semantic categories were the most central ones. Finally, we found between "groups" differences for Gender and Anxiety. Overall, three different methods revealed a robust profile of the SAM. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 09658211 |
| DOI: | 10.1080/09658211.2020.1812662 |
