1,720,982 research outputs found
sj-docx-1-asm-10.1177_10731911241229573 – Supplemental material for Longitudinal and Gender Measurement Invariance of the General Health Questionnaire-12 (GHQ-12) From Adolescence to Emerging Adulthood
No full textSupplemental material, sj-docx-1-asm-10.1177_10731911241229573 for Longitudinal and Gender Measurement Invariance of the General Health Questionnaire-12 (GHQ-12) From Adolescence to Emerging Adulthood by Pascal Schlechter and Sharon A. S. Neufeld in Assessment</p
sj-docx-1-asm-10.1177_10731911221138930 – Supplemental material for The Eight-Item Center for Epidemiological Studies Depression Scale in the English Longitudinal Study of Aging: Longitudinal and Gender Invariance, Sum Score Models, and External Associations
No full textSupplemental material, sj-docx-1-asm-10.1177_10731911221138930 for The Eight-Item Center for Epidemiological Studies Depression Scale in the English Longitudinal Study of Aging: Longitudinal and Gender Invariance, Sum Score Models, and External Associations by Pascal Schlechter, Tamsin J. Ford and Sharon A. S. Neufeld in Assessment</p
Bolusiella Schlechter 1918
No full text<i>Bolusiella</i> Schlechter (1918: 105). <p> Type:— <i>Bolusiella maudiae</i> (Bolus) Schltr.</p> <p>Monopodial plants, epiphytic or sometimes lithophytic. Habit psygmoid, leaves arranged in a plane, dorsoventrally flattened and unifacial. Flowers white, resupinate, 2–6 mm long with free tepals, disposed on a lateral inflorescence, more or less grouped, in a simple raceme. Lip triangular and sometimes slightly trilobate; spur conical or cylindrical; present in most species. Column anther bearing two pollinia on two mace-shaped stipes, linked by a diamond-shaped viscidium; stigma concave and separated from the pollinia by a tridentate rostellum, with the lateral lobes longer than the median lobe.</p> <p> <i>Bolusiella</i> is widely distributed in Sub-Saharan Africa (Fig. 1). The Lower Guinea Domain and the Afromontane Region (Kivu-Ruwenzori regional mountain system) represent the centres of diversity of the genus because four of the six recognized taxa occur in these phytochoria.</p>Published as part of <i>Verlynde, Simon, Dubuisson, Jean-Yves, Stévart, Tariq, Droissart, Murielle Simo-, Geerinck, Daniel, Sonké, Bonaventure, Cawoy, Valérie, Descourvières, Pascal & Droissart, Vincent, 2013, Taxonomic revision of the genus Bolusiella (Orchidaceae, Angraecinae) with a new species from Cameroon, Burundi and Rwanda, pp. 1-22 in Phytotaxa 114 (1)</i> on page 3, DOI: 10.11646/phytotaxa.114.1.1, <a href="http://zenodo.org/record/5078911">http://zenodo.org/record/5078911</a>
The Comprehensive Adversity Measure (CAM): A measure of early adversity and its severity
Get PDFBackground: Early adversity scales often display insufficient content coverage and typically assess the presence of adversity, but not its severity. Objective: To address some of these limitations, we developed the 13-item Youth and Childhood Adversity Scale. We subsequently revised and expanded the scale regarding content coverage and item wording, resulting in a 22-item version, which we here describe. Methods: We conducted one cross-sectional (N = 1498; 43.9 % females; 24.42 years, SD = 3.72, range: 18–30 years) and one longitudinal study (N = 1084; 39.6 % females; 32 years, SD = 10.49, range: 18–75 years). To reflect the nature of the revised measure more accurately, it was named the Comprehensive Adversity Measure (CAM). Results: Exploratory factor analysis suggested a one-factor model for both the presence/absence and the severity facet, which both displayed good model fit in subsequent confirmatory factor analyses. Factor models demonstrated at least scalar measurement invariance across gender and country (US/UK). Correlations with psychological distress, depression, anxiety, substance use, posttraumatic stress symptoms, obsessive-compulsive symptoms, suicide attempts, rumination, social comparison, self-esteem, and quality of life provided evidence in support of construct validity – concurrently and prospectively. Conclusions: The CAM offers a psychometrically-sound, content-wise comprehensive, and free to use assessment of early adversity.</p
Bolusiella Schlechter 1918
No full textKey to the species of <i>Bolusiella</i>: <p>1. Leaves not deeply sulcate on upper surface................................................................................................................. 2.</p> <p>- Leaves deeply sulcate on upper surface....................................................................................................................... 5.</p> <p>2. Pouch-like outgrowth at the base of the lower sepals and floral bract as long as the flower.................................... 3.</p> <p>- Base of the lower sepals without outgrowth and floral bract strictly smaller than the flower................................... 4.</p> <p> 3. Base of the inflorescence straight, spur 1.2 mm or longer.......................................................................... <i>B. maudiae</i></p> <p> - Base of the inflorescence fractiflex, spur up to 1.1 mm............................................................................ <i>B. fractiflexa</i></p> <p> 4. Leaves with rounded apex............................................................................................................................. <i>B. zenkeri</i></p> <p> - Leaves with acute apex.................................................................................................................................. <i>B. talbotii</i></p> <p> 5. Spur at right angle or partly curved under the lip, cylindrical,> 1mm........................... <i>B. iridifolia</i> subsp. <i>iridifolia</i></p> <p> - Spur in the same plane as the lip, conical, <1mm long........................................................ <i>B. iridifolia</i> subsp. <i>picea</i></p>Published as part of <i>Verlynde, Simon, Dubuisson, Jean-Yves, Stévart, Tariq, Droissart, Murielle Simo-, Geerinck, Daniel, Sonké, Bonaventure, Cawoy, Valérie, Descourvières, Pascal & Droissart, Vincent, 2013, Taxonomic revision of the genus Bolusiella (Orchidaceae, Angraecinae) with a new species from Cameroon, Burundi and Rwanda, pp. 1-22 in Phytotaxa 114 (1)</i> on page 4, DOI: 10.11646/phytotaxa.114.1.1, <a href="http://zenodo.org/record/5078911">http://zenodo.org/record/5078911</a>
Social media use by refugees residing in Germany: Prevalence and a potential relationship with migration forcedness
No full textHellmann J, Schlechter P, Knausenberger J, et al. Social media use by refugees residing in Germany: Prevalence and a potential relationship with migration forcedness. PsyArXiv Preprints . 2022
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
The reciprocal relationship between well-being comparisons and anxiety symptoms in the context of metacognitions and external control beliefs
No full textSchlechter P, Hellmann J, Morina N. The reciprocal relationship between well-being comparisons and anxiety symptoms in the context of metacognitions and external control beliefs. 2023.Background: Anxiety is a prevalent mental health condition characterized by worry, fear, and avoidance behavior. Comparisons of one’s own well-being to different aversive standards may contribute to the development and maintenance of anxiety symptoms. Objectives: Accordingly, we investigated whether aversive well-being comparisons predict anxiety symptoms. We included metacognitive beliefs about worrying and external control beliefs as additional predictors. Methods: In total, 922 participants completed measures of anxiety, metacognitions about the uncontrollability of worries, external control beliefs and the Comparison Standards Scale for Well-being (CSS-W) at two timepoints, with a three-month interval between them. The CSS-W assesses the frequency, perceived discrepancy, and affective impact of social, temporal, counterfactual, and criteria-based comparisons. Results: When autoregressive effects were controlled, aversive comparison frequency, comparison affective impact, and uncontrollability of worries at the first timepoint predicted subsequent anxiety symptoms. Furthermore, well-being comparison frequency and discrepancy at the second timepoint were predicted by baseline anxiety symptoms. Conclusions: Well-being comparisons emerged as robust predictor of anxiety symptoms beyond baseline anxiety and established risk factors. Anxiety symptoms contribute distinct variance to the comparison process, pointing to a vicious cycle of symptom escalation. These findings have significant implications for research investigating the intricate interplay between well-being comparisons and anxiety
A brief measure of guilt and shame: validation of the Guilt and Shame Questionnaire (GSQ-8)
Get PDFBackground: Guilt and shame regulate basic human processes such as social cognition and relations. Both emotions are also involved in the aetiology and maintenance of trauma-related mental disorders such as posttraumatic stress disorder (PTSD). However, a concise scale that adequately captures these constructs is currently lacking, impeding research efforts to understand them more thoroughly. Objective: To this end, we developed the eight-item Guilt and Shame Questionnaire (GSQ-8) in English, German, and Dutch. Method: We examined the reliability and validity of the GSQ-8 in a clinical sample of adults seeking treatment for childhood-trauma-related posttraumatic stress disorder (n = 209), a sample of adults who had suffered at least one traumatic life event reporting different levels of PTSD symptoms (n = 556), and a non-clinical sample of adults (n = 156). Results: Theory-driven confirmatory factor analyses confirmed two correlated latent factors guilt and shame with four items for each factor. Across all samples, two-factor models yielded better model fit than one-factor solutions. Measurement invariance across the three samples, gender, and Dutch and German language was mostly established. Guilt and shame composite scores were associated with PTSD symptoms, depressive symptoms, life satisfaction, mental health-related quality of life, and self-blame, thus supporting scale validity. Importantly, both subscales predicted PTSD symptoms, depression, life satisfaction, and mental health-related quality of life over and above cognitions of self-blame. Conclusions: The GSQ-8 is a parsimonious, reliable, and valid tool to assess guilt and shame in clinical, sub-clinical, and non-clinical populations, allowing applications across a broad range of research questions
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