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Record W2121996151 · doi:10.18438/b8060t

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

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

Bibliographic record

VenueEvidence Based Library and Information Practice · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsnot available
Fundersnot available
KeywordsMedical libraryInclusion (mineral)Library scienceMedical educationComputer scienceJob analysisPsychologyWorld Wide WebMedicineJob satisfactionSocial psychology

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.853
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0020.761
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.306
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2015
Admission routes1
Has abstractyes

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