125,239 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Accounting for natural and extraneous variation in the analysis of field experiments
No full textWe identify three major components of spatial variation in plot errors from field experiments and extend the two-dimensional spatial procedures of Cullis and Gleeson (1991) to account for them. The components are nonstationary, large-scale (global) variation across the field, stationary variation within the trial (natural variation or local trend), and extraneous variation that is often induced by experimental procedures and is predominantly aligned with rows and columns. We present a strategy for identifying a model for the plot errors that uses a trellis plot of residuals, a perspective plot of the sample variogram and, where possible, likelihood ratio tests to identify which components are present. We demonstrate the strategy using two illustrative examples. We conclude that although there is no one model that adequately fits all field experiments, the separable autoregressive model is dominant. However, there is often additional identifiable variation present.Arthur R. Gilmour, Brian R. Cullis and Arūnas P. Verbyl
Understanding the factors which facilitate the engagement of men in psychological therapy
No full textIn the UK, suicide continues to be the leading cause of death in men under 45 and research has consistently shown that men are less likely than women to seek professional help for mental health problems (National Statistics, 2018; Seidler et al., 2016). Endorsement of traditional views of masculinity, problems identifying emotional difficulties and externalised expressions of distress (e.g. substance misuse, violence etc.) have been identified as barriers to psychological help-seeking in men (Mansfield et al., 2003; Perlick & Manning, 2007). A systematic review identified that increased Mental Health Literacy and conformity to masculinity are predictors of help-seeking in men. Demographic factors such as race and education have also been found to influence this process. The current study aimed to assess viewpoints held by men on what factors would be important to them when considering engaging in therapy and whether viewpoints differed depending on demographic factors (e.g. age, ethnicity, sexuality, religion). Forty-five statements were developed from a scoping review by Seidler et al. (2018) providing recommendations for factors that would be important to consider when engaging men in psychological therapy. Forty-seven men who had not previously accessed psychological therapy completed a Q-sort by ranking the statements relating to therapy in accordance with their perceived relative importance.Q-methodology uses a by-person factor analysis to identify shared and different viewpoints within the sample (Watts & Stenner, 2014). The data analysis was completed in two stages: 1a) analysis and interpretation of factors from Group One (those who had considered psychological therapy), 1b) analysis and interpretation of factors from Group Two (those who had not considered psychological therapy) and 2) a second-order factor analysis combining factors from both groups to understand common and differing viewpoints across both groups. Second-order analysis revealed a three-factor solution that accounted for 45% of the total variance: Factor A ‘The Context of Therapy’, Factor B ‘Gendered Therapy and a Relaxed Approach’ and Factor C ‘The Individuals Experience’. Viewpoints can be understood within the context of previous literature, theories and findings. The dominant viewpoint described men placing value in feeling accepted, supported and safe within psychological therapy, through understanding the process (expectations and treatment goals) and through the relationship with the therapist. Future research would benefit from establishing whether the findings from this study could be used to support men to understand therapy and what to expect in order to promote more positive attitudes towards, and consequently engagement in, psychological therapy
A sparse implementation of the average information algorithm for factor analytic and reduced rank variance models
No full textFactor analytic variance models have been widely considered for the analysis of multivariate data particularly in the psychometrics area. Recently Smith, Cullis & Thompson (2001) have considered their use in the analysis of multi-environment data arising from plant improvement programs. For these data, the size of the problem and the complexity of the variance models chosen to account for spatial heterogeneity within trials implies that standard algorithms for fitting factor analytic models can be computationally expensive. This paper presents a sparse implementation of the average information algorithm (Gilmour, Thompson & Cullis, 1995) for fitting factor analytic and reduced rank variance models
Pragmatic Case Studies as a Source of Unity in Applied Psychology
No full textTo unify or not to unify applied psychology: that is the question. In this article we review pendulum swings in the historical efforts to answer this question—from a comprehensive, positivist, “top-down,” deductive yes between the 1930s and the early 60s, to a postmodern no since then. A rationale and proposal for a limited, “bottom-up,” inductive yes in applied psychology is then presented, employing a case-based paradigm that integrates both positivist and postmodern themes and components. This paradigm is labeled “pragmatic psychology” and, its specific use of case studies, the “Pragmatic Case Study Method” (“PCS Method”). We call for the creation of peer-reviewed journal-databases of pragmatic case studies as a foundational source of unifying applied knowledge in our discipline. As one example, the potential of the PCS Method for unifying different angles of theoretical regard is illustrated in an area of applied psychology, psychotherapy, via the case of Mrs. B. The article then turns to the broader historical and epistemological arguments for the unifying nature of the PCS Method in both applied and basic psychology.Peer reviewe
Dr. Edwin Wright Collection: Author Unknown
No full textNotes - The author relates several short stories about his neighbours including Alex McDonell, homesteading and life around Meanook and Athabasca (1 page
The characterisation of cadmium sulphide and cadmium selenide epitaxial layers grown by MOCVD on gallium arsenide
No full textAppropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
The characterisation of cadmium sulphide and cadmium selenide epitaxial layers grown by MOCVD on gallium arsenide
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