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Enregistrement W2121996151 · doi:10.18438/b8060t

Assessment Related Skills and Knowledge Are Increasingly Mentioned in Library Job Postings

2015· article· en· W2121996151 sur OpenAlexvenueno aff
Carol Perryman

Notice bibliographique

RevueEvidence Based Library and Information Practice · 2015
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueLibrary Science and Information Literacy
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedical libraryInclusion (mineral)Library scienceMedical educationComputer scienceJob analysisPsychologyWorld Wide WebMedicineJob satisfactionSocial psychology

Résumé

récupéré en direct d'OpenAlex

A Review of:
 Passoneau, S., & Erickson, S. (2014). Core competencies for assessment in libraries: A review and analysis of job postings. Library Leadership & Management, 28(4):1-19. https://journals.tdl.org/llm/index.php/llm/article/view/7080
 
 Abstract
 
 Objective – The authors sought to determine whether existing definitions of assessment agree with assessment-related skills sought in job postings, and to identify key assessment-related skills, needs for training, and trends in assessment.
 
 Design – Content analysis. 
 
 Setting – Job postings from six library-specific websites: the American Library Association, the Library & Information Technology Association, the Society of American Archivists, the Council on Library and Information Resources, the Association of Research Libraries, and Library Assessment job announcements at http://libraryassessment.info/?cat=13.
 
 Subjects – Job titles and descriptions published during an 18-month period between Summer 2012 and Winter 2013 that met the inclusion criteria (n=231).
 
 Methods – Job postings were searched and analyzed in two separate sets whose inclusion criteria is as follows: First, job postings with the term assessment in the position title or as the main focus of the position (n=44) were retrieved; of these, three postings were too old to contain descriptions, so were excluded from analysis. Second, job postings were retrieved with the terms assessment, evaluation, metrics, and strategic in the descriptive text of postings with position titles that did not specifically mention assessment (n=187). The full text of both sets was downloaded to ATLAS.ti software for analysis using a grounded theory approach. Mutually exclusive terms emerging from the coding process were documented and defined; from this analysis, networks of code “families” or co-relational groupings helped to create categories and sub-categories. The context of terms was closely examined to understand the meaning of assessment-related terms in job descriptions. Following this step, Microsoft Excel was used to generate tables and pivot tables, aiding understanding and illustrating data. 
 
 Main Results – All 44 job posts containing the term assessment as part of the position title were from research universities or four year colleges; of these, most were ARL member libraries. For these postings, the concept of assessment was more clearly aligned with definitions of assessment as an ongoing process. The positions described, requiring a minimum of three years’ of experience, ranged from entry-level to administrative in nature. 
 
 In the second set (187 postings), the interchangeable use of the terms “assessment” and “evaluation” was particularly evident in job postings unrelated to library instruction. No library types other than academic were recruiting for assessment librarians, but related skills, usually referred to as evaluation in public and special libraries, were mentioned in all areas of library practice including instruction, administration, public services, user behavior, and to a lesser extent, access services, archives, information technology, cataloging, and more. While less prominent, these less often mentioned areas of practice also appear to be increasing their awareness of assessment.
 
 Key skills and knowledge areas needed for assessment in libraries emerged from content analysis of the job postings. These were grouped under eight main areas of competency and were augmented by the authors’ own experiences as assessment librarians: background in library assessment, research methods, statistical and analytic skills, visualization and presentation skills, and project management and people skills. 
 
 Conclusions – Based upon analysis of this set of documents, a culture of assessment in libraries appears to be emerging, demonstrating a possible upward trend when contrasted with the earlier research of Walter and Oakleaf (2010). Overall, assessment related skills and knowledge were increasingly evident across all library types and positions. Suggestions for aiding the development of an emerging culture of assessment include fostering liaisons between ALA divisions and library schools to persuade the schools of the need for related coursework, workshops focused on assessment-related skills, certification programs, and a proposed minor in library assessment. Opening avenues for discussion between library types could enhance the growth of an assessment culture beyond academic librarianship. Additional research to better understand the diffusion of assessment culture and practice into non-academic libraries is also recommended.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCommunication savante
Catégories consensuellesCommunication savante
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,853
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0020,761
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,016
Tête enseignante GPT0,306
Écart entre enseignants0,291 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2015
Routes d'admission1
Résumé présentoui

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