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Dataset for "The 19-Item Environmental Knowledge Test (EKT-19): A Short, Psychometrically Robust Measure of Environmental Knowledge"
No full textThis dataset consists of two files – one main dataset, and one dataset for the re-test analysis. The main dataset includes an anonymous participant ID, binary responses to 30 environmental knowledge questions, participant's sex, age and duration to complete the task. The re-test dataset includes all the same variables, completed for both the initial study and at re-test after nine weeks. When collecting this dataset, we were seeking to develop a new measure of environmental knowledge, building upon an existing measure by Geiger et al. (2019).A UK sample of 346 undergraduate students completed the study via the University’s research participation scheme, 121 of whom repeated the study nine weeks later for test-retest analyses.The data is mostly binary (0,1) denoting (incorrect, correct) answers to the environmental knowledge questions. In the sex variable, 1 denotes male, and 0 female. Age is in years. Duration_EKT30 variable denotes how long the full 30 items of the environmental knowledge measure took each participant, measured in seconds (s)
The Four-Item Mentalising Index (FIMI) is a valid, reliable, and practical way to assess mentalising: Reply to Murphy et al. (2022)
No full textMurphy et al. (2022) raised concerns regarding the validity of the Four-Item Mentalising Index (FIMI). We wholeheartedly agree with Murphy et al. that there are problems in the social cognition literature hampering research. However, we maintain the FIMI is conceptually grounded in empirical and theoretical research, and that concerns regarding its construct validity are overstated. Drawing on recent research, we also discuss issues concerning the interpretation of discriminant validity analyses and discuss approaches to improve objectivity in future research. Overall, we argue that the FIMI is a conceptually and psychometrically sound measure, which has utility in future social cognition research and clinical practice. (PsycInfo Database Record (c) 2022 APA, all rights reserved)
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It looks like construct validity, but look again: Comment on Clutterbuck et al. (2021) and recommendations for test developers in the broad “empathy” domain. Murphy, Brett A.; Hall, Judith A.; Duong, Fred, 2022
Overlapping and specific neural correlates for empathizing, affective mentalizing, and cognitive mentalizing: A coordinate‐based meta‐analytic study. Arioli, Maria; Cattaneo, Zaira; Ricciardi, Emiliano; Canessa, Nicola, 2021
Development and validation of the Four-Item Mentalising Index. Clutterbuck, Rachel A.; Callan, Mitchell J.; Taylor, Emily C.; Livingston, Lucy A.; Shah, Punit, 202
Dataset for "Is depression associated with reduced optimistic belief updating?"
Full text linkWe evaluated optimistic belief updating (the finding that healthy individuals update their beliefs more following good news than bad) for positive and negative life events in individuals experiencing depression (n = 54) and healthy controls (n = 56). We have provided the raw questionnaire data (depression, anxiety, optimism) and belief updating task, as well as the cleaned data used for analysis. Code for cleaning and analysing data is available for use in R.
Based on this data we found that whereas healthy participants updated their beliefs more following good news than bad, individuals experiencing depression lacked this bias. Our findings for positive life events were inconclusive, but on balance suggested that reduced optimistic belief updating in depression did not occur.Due to the COVID-19 pandemic, recruitment took place online using the participant recruitment platform ‘Prolific’. Screening surveys were completed online using ‘Qualtrics’. Two groups of participants were screened and recruited on the basis of Patient Health Questionnaire (PHQ-9) scores according to recommended clinical guidelines. A moderately severe to severely depressed sample was recruited with PHQ-9 scores ≥ 15. A healthy control sample was recruited with PHQ-9 scores ≤ 4.
Participants in both groups were aged 18 and over, fluent in written and spoken English, with normal or corrected to normal vision, and were current residents of the United Kingdom. Participants were included irrespective of any comorbid psychiatric disorders, or current treatment for depression. To ensure high quality of data, custom pre-screening was used on Prolific to identify participants that had previously completed ≥ 5 studies with a 98% acceptance rate.
Testing took place online, self-report measures were completed using ‘Qualtrics’ and the Belief Updating Task was completed using ‘Inquisit’. Participants completed questionnaire measures of depression, anxiety, trait optimism, state positive and negative affect and demographics. They then completed a belief updating task. In this task, participants are asked to estimate the probability of experiencing an event within their lifetime, before being presented with the actual probability. After completing a number of trials they are then asked again what their likelihood is of experiencing the event. We are interested in the extent to which participants change their original belief depending on whether they were given good news or bad news about the probability of experiencing the life event.Data was anonymised prior to cleaning, through random re-assignment of unique IDs and removal of potentially identifying variables. Aside from the anonymisation changes, the raw data is provided as well as the code used to clean data to produce the aggregate data used for analysis.The data was cleaned and analysed using R version 4.0.5.
Data is provided in .CSV, .XLSX and .R filesA data dictionary is provided outlining the organisation of data and describing individual variables
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
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