Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Konstverk ur åskådarens synvinkel - en faktoranalytisk studie
Stockholm University, Faculty of Social Sciences, Department of Psychology.
2013 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [sv]

Idag saknas det en erkänd och accepterad grundkunskap om hur åskådaren bedömer konst. Denna undersökning syftade till att finna mönster – bakomliggande faktorer – i undersökningsdeltagares bedömning av tavlor i preferens (”tycker om”), ”modern” och ”intressant”. Färgutskrifter av fyrtiotvå tavlor, i A4-format, visades för 100 deltagare - en person i taget. Resultaten analyserades med faktoranalys samt med hierarkisk klusteranalys. Fyra faktorer framträdde i faktoranalysen och dessa var de samma för de tre egenskaperna. De ”överensstämde”– d.v.s. faktorerna laddade i samma tavlor och tolkas som klassisk (äldre) konst, moderna tavlor, landskap och vackra interiörer eller människor samt udda, gåtfulla, roliga och lekfulla tavlor. En klusteranalys förtydligade hur försökspersonerna grupperade tavlorna i en trädliknande struktur i grupper med tavlor från samma århundraden. Konststudier och konstintresse korrelerade med klassisk konst. Besöka gallerier och museer förr och nu korrelerade negativt med landskap och dekorativ konst. Ålder korrelerade med ordning samt med klassisk konst och udda tavlor.

Abstract [en]

Today we lack a recognized basic framework for how observers evaluate art. This investigation seeks to find patterns (i.e. underlying factors) in the participants' evaluations of paintings in terms of like vs dislike, interesting vs uninteresting, and degree of modernity. Colour printouts of 42 paintings, in A4 format, were shown to 100 participants, one person at a time. The result was analysed by factor analysis, as well as by hierarchical clustering. Four factors arose in the factor analysis - 1) classical (older) paintings, 2) modern paintings, 3) landscapes, interiors and portraits, and 4) odd, amusing, playful or enigmatic paintings - and these same four factors were obtained from all three evaluations. Cluster analysis clarified how the participants grouped the paintings in a dendrogram, with groups of paintings from the same centuries. Art studies and art interest correlated with appreciation of classical art. Having visited galleries and museums correlated negatively with appreciation of landscapes and decorative art. Age correlated positively with appreciation of classical art and odd paintings.

Place, publisher, year, edition, pages
2013. , 25 p.
Keyword [sv]
Konst, bedömning, faktoranalys, preferens, intresse, modernitet
National Category
Psychology
Identifiers
URN: urn:nbn:se:su:diva-91621OAI: oai:DiVA.org:su-91621DiVA: diva2:635021
Presentation
2013-05-30, 17:00
Supervisors
Examiners
Available from: 2013-08-16 Created: 2013-07-02 Last updated: 2013-11-08Bibliographically approved

Open Access in DiVA

Konstverk ur åskådarens synvinkel(922 kB)255 downloads
File information
File name FULLTEXT01.pdfFile size 922 kBChecksum SHA-512
5db140f092aec2ac4dadf29c16de6c734a39a2bd2cf447df0fec80e40af2192dfdfcfceaf32e8f9c4af32e142c5255d560b7be2c38805d7bae03fbb87148ad60
Type fulltextMimetype application/pdf

By organisation
Department of Psychology
Psychology

Search outside of DiVA

GoogleGoogle Scholar
Total: 255 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 219 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf