Updated Survey Information About Librarian-Researchers Prompts Authors to Consider Revising the Curriculum for Their Institute for Research Design in Librarianship Course
Notice bibliographique
Résumé
A Review of:
 Kennedy, M.R., & Brancolini, K.R. (2018). Academic librarian research: An update to a survey of attitudes, involvement, and perceived capabilities. College and Research Libraries, 79(6), 822-851. https://doi.org/10.5860/crl.79.6.822
 Abstract
 Objective – To examine academic librarians’ current attitudes and preparedness to conduct research in order to update the knowledge gained from the authors’ 2010 survey, and to determine if changes were needed in their Institute for Research Design in Librarianship continuing education curriculum.
 Design – Web based survey.
 Setting – Institutions that employ academic and/or research librarians.
 Subjects – 793 academic and research librarians.
 Methods – The researchers posted a call for participation in their 2015 Librarian Research survey on listservs where academic and research librarians are members. The survey expanded upon the authors’ 2010 survey by adding questions to more fully explore three areas: research self-efficacy; Master’s thesis and statistics courses, and; research mentoring and institutional support. 793 librarians responded to the survey, and 669 of these respondents completed it. All data from incomplete surveys was included in the analysis. Survey results were compared with the results from the 2010 survey as well as with the responses from a survey conducted in 2000 by Powel, Baker, and Mika, which addressed many of the same topics under investigation.
 Main Results – The authors analyzed the survey results based on four areas: the current research practice of responding academic librarians; a self-evaluation of their confidence in performing the steps in the research process; methods training courses in which they have participated, and; demographics and institutional data related to support of library research. 
 Regarding current research practices, 84% of respondents said it is assumed that they will read research-based literature as part of their job as academic librarians; 80% are allowed time at work for this purpose; 6% did not know if it was assumed that they will read research-based literature as part of their job; and 9% were unsure if they were allowed to use work time to read the literature. 78% scan tables of contents for research-based journals, while 58% regularly read the full content of these articles (this is a significant drop from the 78% who reported that they regularly read full text articles in the 2010 survey).
 Time was the primary reason cited for not regularly reading research-based literature. 77% of respondents have conducted research since completing their Library Science degree (although 2% did not have a Master’s degree). 
 Respondents rated their confidence on a scale of one to five, with one being “Not at all confident” and five being “Very confident.” Overall, there were 38 components related to the steps in the research process, which were grouped into 8 questions on the survey. For these questions, an average rating of 3.41 was calculated. From statistical analysis, the authors determined that there is a significant correlation between conducting research and librarian confidence in the process.
 The survey contained seven questions related to methods training. The authors were specifically interested in the correlation between librarians having conducted research since completing their degree and librarians’ belief that their degree adequately prepared them to do so. Statistical analysis revealed that the relationship between these factors was not significant; this result was consistent with the results from the authors’ 2010 survey as well as from the findings of Powell, Baker, and Mika. The authors were also curious as to whether librarians who had written a thesis as part of their Library Science degree were more likely to have conducted research since earning their degree. This relationship between these variables was not significant, however the relationship between writing a thesis for another graduate degree and conducting research was significant.
 Conclusion – The number of survey responses indicates that research is still a current, important issue for academic and research librarians. The authors will use the information from the surveys to revise their educational curriculum, specifically in the areas of current research practice, librarian confidence, and methods training.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,019 | 0,018 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,005 | 0,697 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».