National Differences in Perceived Benefit of Libraries May Be Due to Their Investments in Libraries, Library Supply, and Cultural Factors
Notice bibliographique
Résumé
A Review of: Vakkari, P., Aabø, S., Audunson, R., Huysmans, F, Kwon, N., Oomes, M., & Sin, S. (2016). Patterns of perceived public library outcomes in five countries. Journal of Documentation, 72(2), 342–361. http://dx.doi:org/10.1108/JD-08-2015-0103 Objective – To compare citizens' perceptions of the benefits of libraries in five culturally diverse countries. Design – Postal survey to a random stratified sample and web surveys (some with a sampling plan, some apparently not). Setting – Surveys were administered in Finland (by post), Norway, the Netherlands, the United States of America, and South Korea (online). Subjects – Selected or self-selected members of the general adult population in the specified countries who had used a public library within the past year. Methods – Surveys were administered and data were collected in each of the five countries. A dependent variable representing perceived outcomes was calculated from 19 outcome measures (related to life experiences). Within this, 4 indices were calculated from subsets of the 19 measures, relating to work, education, everyday activities, and leisure activities. Five independent variables were used: frequency of library use, number of services used, gender, age, and education level. Respondent country was also entered into analyses. Descriptive statistics and analysis of covariance results were presented. Main Results – It was noted that each country's sample was skewed in some way towards one or more of the variables of gender, age, and education, and some statistical corrections were employed. While patterns within countries are similar, library users from Finland, the United States of America, and South Korea reported higher levels of benefits overall. "Fun in reading" and "self-education" were the two outcomes with the highest scores by respondents. Higher numbers of visits and greater use of services may account for the higher perceived benefits in the three countries reporting them. In fact, these two factors appear to explain a substantial portion of the variance in perceptions of benefits between countries, meaning that between-country variation in library resources and supply plays a role in perception of benefit. There were varied rather than linear patterns of benefit reporting along age and education continua, with those at the lowest education levels deriving the most perceived benefits in all spheres. By gender, women derived fewer perceived benefits in the work sphere than men. Conclusions – There is variation across countries in the level of public library benefits reported, as well as variation across individual measures, creating different profiles of response by country. Even when respondent demographic characteristics and library usage are controlled for, country differences remain. These may be explained by the differences in investment in – and hence supply of – libraries by country, types of investment (e.g., according to the authors, Finland invests in services, Norway in collections, and the USA in staffing), and cultural factors such as the propensity of USA respondents to have a more extreme response style. Future research may profitably concentrate on policy contexts of libraries in each country. In the nineteenth century libraries provided social welfare services and in the twentieth they provided human rights through equitable access to information, so research should focus, by country, on what libraries will provide in the twenty-first century. Future studies might also address how differences in demographic patterns among respondents play out in benefit perceptions between countries.
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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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,403 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».