Background: The Feeling Word Checklist (FWC) is a self-report questionnaire designed to assess therapists' countertransference (CT) feelings. The primary aim of the study was to evaluate the psychometric properties of a brief, 12-item version of the Feeling Word Checklist (FWC-BV). The second aim was to validate the factor structure by examining the associations between the FWC-BV factors, patients' personality pathology and therapeutic alliance (TA).
Methods: Therapists at 13 different outpatient units within the Norwegian Network of Personality Disorders participated, and the study includes therapies for a large sample of patients (N = 2425) with personality pathology. Over a period of 2.5 years, therapists completed the FWC-BV for each patient in therapy every 6 months. Statistical methods included exploratory (EFA) and confirmatory (CFA) factor analysis. Internal consistency was estimated using Mc Donald's coefficient Omega (ω). The Structured Clinical Interview for DSM-IV - Axis II (SCID II) and Mini International Neuropsychiatric Interview (MINI) were used as diagnostic instruments, and patient-rated TA was assessed using the Working Alliance Inventory (WAI-SR).
Results: Factor analyses revealed three clinically meaningful factors: Inadequate, Idealised and Confident. These factors had acceptable psychometric properties. Most notably, a number of borderline PD criteria correlated positively with the factors Inadequate and Idealised, and negatively with the factor Confident. All the factors correlated significantly with at least one of the WAI-SR subscales.
Conclusions: The FWC-BV measures three clinically meaningful aspects of therapists' CT feelings. This brief version of the FWC seems satisfactory for use in further research and in clinical contexts.
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http://dx.doi.org/10.1186/s12888-020-02556-6 | DOI Listing |
Sci Rep
January 2025
School of Management, Hainan Medical University, Haikou, China.
Patients are turning to OHCs to deal with the stresses and complications of infertility. As a stigmatized disease, infertile patients may value informational support and emotional support differently, which is ignored in existing studies. Based on social support theory, this study aims to reveal the role of informational support and emotional support of doctors in infertile patient decision-making.
View Article and Find Full Text PDFJ Acoust Soc Am
January 2025
Leiden University Centre for Linguistics, Leiden University, Leiden, The Netherlands.
Previous studies suggested that pitch characteristics of lexical tones in Standard Chinese influence various sensory perceptions, but whether they iconically bias emotional experience remained unclear. We analyzed the arousal and valence ratings of bi-syllabic words in two corpora (Study 1) and conducted an affect rating experiment using a carefully designed corpus of bi-syllabic words (Study 2). Two-alternative forced-choice tasks further tested the robustness of lexical tones' affective iconicity in an auditory nonce word context (Study 3).
View Article and Find Full Text PDFBMJ Health Care Inform
January 2025
Hamad Bin Khalifa University College of Science and Engineering, Doha, Qatar.
Background: Loneliness and insomnia are mutually occurring conditions. This paper investigates whether keywords depicting loneliness and insomnia are expressed together on social media. Understanding loneliness through data fills the gaps or validates the literature on loneliness from sociological and psychological perspectives.
View Article and Find Full Text PDFFront Health Serv
January 2025
School of Healthcare, University of Leeds, Leeds, United Kingdom.
Background: There is a growing international policy focus on involving those affected by healthcare safety incidents, in subsequent investigations. Nonetheless, there remains little UK-based evidence exploring how this relates to the experiences of those affected over time, including the factors influencing decisions to litigate.
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PLoS One
January 2025
Department of Political Science, University of California, Davis, Davis, California, United States of America.
The literature finds that partisanship drives negative emotional evaluations of out-partisans. Yet, scholars base these insights on measures-like thermometers, candidate evaluations, and social-distance measures-that discount the sentiment attached to individuals' negative attitudes. We introduce a unique measure of affect capturing the motivation underpinning partisans' attitudes.
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