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Personality change: Longitudinal self-other agreement and convergence with retrospective-reports.

ABSTRACT: The research literature on personality development is based mostly on self-report studies and on samples in younger adulthood. The present multimethod study examines self-other agreement on longitudinal personality change and convergence between self- and informant-reports of longitudinal and retrospective personality change in older adulthood. It provides a rare validation test of longitudinal measurements of personality change. A representative community sample of 1,630 older adults (Mage = 62.5) and their informants completed self- and informant-personality assessments across three waves that were on average 6.5 years apart. Self- and informant-reports of retrospective personality change were collected at the third wave. Latent growth modeling was used to examine longitudinal personality change, longitudinal self-other agreement on personality change, and convergence between longitudinal and retrospective personality change in each five-factor model domain. Older adults in the present study reported less change than has been found in younger samples; however, both self- and informant-reports indicated declines in extraversion. Results showed strong self-other agreement on longitudinal personality change in all 5-factor model domains, moderate correspondence between longitudinal and retrospective-reports of change within-method (i.e., within self- or informant-report), modest self-other agreement on retrospective-reports, and little association between longitudinal and retrospective change across-method (i.e., between self- and informant-reports). Findings provide validation evidence for both longitudinal and retrospective assessments of personality change, indicate that informants provide unique perspectives on personality change, and could have potentially important implications for research, assessment, and clinical settings. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

SUBMITTER: Oltmanns JR

PROVIDER: S-EPMC6732056 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Project description:BackgroundData on resource use are frequently required for healthcare assessments. Studies on healthcare utilization (HCU) in individuals with mental disorders have analyzed both self-reports and administrative data. Source of data may affect the quality of analysis and compromise the accuracy of results. We sought to ascertain the degree of agreement between self-reports and statutory health insurance (SHI) fund claims data from patients with mental disorders.MethodsClaims data from six German SHI and self-reports were obtained along with a cost-effectiveness analysis performed as a part of a controlled prospective multicenter cohort study conducted in 18 psychiatric hospitals in Germany (PsychCare), including patients with pre-defined psychiatric disorders. Self-reports were collected using the German adaption of the Client Sociodemographic and Service Receipt Inventory (CSSRI) questionnaire with a 6-month recall period. Data linkage was performed using a unique pseudonymized identifier. Missing responses were coded as non-use for all analyses. HCU was calculated for inpatient and outpatient care, day-care services, home treatment, and pharmaceuticals. Concordance was measured using Cohen's Kappa (κ) and intraclass correlation coefficient (ICC). Regression approaches were used to investigate the effect of independent variables on the agreements.ResultsIn total 274 participants (mean age 47.8 [SD = 14.2] years; 47.08% women) were included in the analysis. No significant differences were observed between the linked and unlinked patients in terms of baseline characteristics. Total agreements values were 63.9% (κ = 0.03; PABAK = 0.28) for outpatient contacts, 69.3% (κ = 0.25; PABAK = 0.39) for medication use, 81.0% (κ = 0.56; PABAK = 0.62) for inpatient days and 86.1% (κ = 0.67; PABAK = 0.72) for day-care services. There was varied quantitative agreement between data sources, with the poorest agreement for outpatient care (ICC [95% CI] = 0.22 [0.10-0.33]) and the best for psychiatric day-care services (ICC [95% CI] = 0.72 [0.66-0.78]). Marital status and time since first treatment positively affected the chance of agreement on utilization of outpatient services.ConclusionsAlthough there were high levels of absolute agreement, the measures of concordance between administrative records and self-reports were generally minimal to moderate. Healthcare investigations should consider using linked or at least different data sources to estimate HCU for specific utilization areas, where unbiased information can be expected.Trial registrationThis study was part of the multi-center controlled PsychCare trial (German Clinical Trials Register No. DRKS00022535; Date of registration: 2020-10-02).

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Personality change: Longitudinal self-other agreement and convergence with retrospective-reports.

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