1. bookVolume 7 (2020): Issue 2 (December 2020)
Journal Details
First Published
16 Apr 2015
Publication timeframe
2 times per year
Open Access

Giving the Art Greater weight in Art Psychology: RizbA, a Questionnaire for Formal Picture Analysis

Published Online: 26 Jan 2021
Volume & Issue: Volume 7 (2020) - Issue 2 (December 2020)
Page range: 373 - 410
Received: 09 Sep 2020
Accepted: 22 Nov 2020
Journal Details
First Published
16 Apr 2015
Publication timeframe
2 times per year

Baltes-Götz, B. (2013). Behandlung fehlender Werte in SPSS und Amos [Dealing with missing values in SPSS and Amos]. Universität Trier.Search in Google Scholar

Belting, H., Dilly, H., Kemp, W., Sauerländer, W., & Warnke, M. (1996). Kunstgeschichte: Eine Einführung [Art history: An introduction]. In H. Belting, H. Dilly, W. Kemp, W. Sauerländer, & M. Warnke (Eds.) (6th ed.). Reimer.Search in Google Scholar

Brown, J. D. (2009). Principal components analysis and exploratory factor analysis: Definitions, differences, and choices. Statistics, 13(1).Search in Google Scholar

Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81.10.1037/h0046016Search in Google Scholar

Cattaneo, M. (1994). Addressing culture and values in the training of art therapists. Art Therapy, 11(3), 184–186. https://doi.org/10.1080/07421656.1994.1075908110.1080/07421656.1994.10759081Search in Google Scholar

Chan, W., Ho, R. M., Leung, K., Chan, D. K.-S., & Yung, Y.-F. (1999). An alternative method for evaluating congruence coefficients with Procrustes rotation: A bootstrap procedure. Psychological Methods, 4(4), 378.10.1037/1082-989X.4.4.378Search in Google Scholar

Chatterjee, A., Widick, P., Sternschein, R., Smith, W. B., & Bromberger, B. (2010). The assessment of art attributes. Empirical Studies of the Arts, 28(2), 207–222. https://doi.org/10.2190/EM.28.2.f10.2190/EM.28.2.fSearch in Google Scholar

Cliff, N. (1966). Orthogonal rotation to congruence. Psychometrika, 31(1), 33–42.10.1007/BF02289455Search in Google Scholar

Cohen, B. M., & Mills, A. (2015). The Diagnostic Drawing Series (DDS) at thirty: Art therapy assessment and research. In D. Gussak & R. M Rosal, The Wiley handbook of art therapy (p. 558–568). Wiley-Blackwell.10.1002/9781118306543.ch53Search in Google Scholar

Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155.10.1037/0033-2909.112.1.155Search in Google Scholar

Colver, M. C., & El-Alayli, A. (2016). Getting aesthetic chills from music: The connection between openness to experience and frisson. Psychology of Music, 44(3), 413–427. https://doi.org/10.1177/030573561557235810.1177/0305735615572358Search in Google Scholar

Commare, L., Rosenberg, R., & Leder, H. (2018). More than the sum of its parts: Perceiving complexity in painting. Psychology of Aesthetics, Creativity, and the Arts, 12(4), 380. https://doi.org/10.1037/aca000018610.1037/aca0000186Search in Google Scholar

Coster, J. D. (2012). Converting effect sizes. http://www.stat-help.com/spreadsheets.htmlSearch in Google Scholar

Cropley, A. (1997). Creativity: A bundle of paradoxes. Gifted and Talented International, 12(1), 8–14.10.1080/15332276.1997.11672859Search in Google Scholar

Epstein, C. (2019). Bildlicher Ausdruck von Depression: Erprobung des Ratinginstruments RizbA an Bildstichproben aus dem klinischen Kunsttherapiesetting [Pictorial expression of depression: Testing the ratinginstrument RizbA on image samples from a clinical art therapy setting]. Witten/Herdecke University. Zenodo database. https://doi.org/10.5281/zenodo.3365921Search in Google Scholar

Fechner, G. T. (1876). Vorschule der Ästhetik [Preschool of aesthetics] (Vol. 1). Breitkopf & Härtel.Search in Google Scholar

Fetz, K., Vogt, H., Ostermann, T., Schmitz, A., & Schulz-Quach, C. (2018). Evaluation of the palliative symptom burden score (PSBS) in a specialised palliative care unit of a university medical centre-a longitudinal study. BMC palliative care, 17(1), 92. https://doi.org/10.1186/s12904-018-0342-010.1186/s12904-018-0342-0Search in Google Scholar

Fraiberger, S. P., Sinatra, R., Resch, M., Riedl, C., & Barabási, A.-L. (2018). Quantifying reputation and success in art. Science. https://doi.org/10.1126/science.aau722410.1126/science.aau7224Search in Google Scholar

Gantt, L. (2016). The Formal Elements Art Therapy Scale (FEATS). In D. Gussak & M. Rosal (Eds.), The Wiley handbook of art therapy (pp. 569–578). Wiley-Blackwell.Search in Google Scholar

GLAM Wiki. (2020). GLAM Outreach Wiki: Galleries, Libraries, Archives, Museums. https://outreach.wikimedia.org/wiki/GLAMSearch in Google Scholar

Gridley, M. C. (2006). Concrete and abstract thinking styles and art preferences in a sample of serious art collectors. Psychological Reports, 98(3), 853–857.10.2466/pr0.98.3.853-857Search in Google Scholar

Gridley, M. C. (2013). Preference for abstract art according to thinking styles and personality. North American Journal of Psychology, 15(3), 463–481.Search in Google Scholar

Guadagnoli, E., & Velicer, W. F. (1988). Relation of sample size to the stability of component patterns. Psychological Bulletin, 103(2), 265–275.10.1037/0033-2909.103.2.265Search in Google Scholar

Hager, M., Hagemann, D., Danner, D., & Schankin, A. (2012). Assessing aesthetic appreciation of visual artworks: The construction of the Art Reception Survey (ARS). Psychology of Aesthetics, Creativity, and the Arts, 6(4), 320–333. https://doi.org/10.1037/a002877610.1037/a0028776Search in Google Scholar

Haller, C. S., & Courvoisier, D. S. (2010). Personality and thinking style in different creative domains. Psychology of Aesthetics, Creativity, and the Arts, 4(3), 149–160. https://doi.org/10.1037/a001708410.1037/a0017084Search in Google Scholar

Hanich, J., Wagner, V., Shah, M., Jacobsen, T., & Menninghaus, W. (2014). Why we like to watch sad films. The pleasure of being moved in aesthetic experiences. Psychology of Aesthetics, Creativity, and the Arts, 8(2), 130–143. https://doi.org/10.1037/a003569010.1037/a0035690Search in Google Scholar

Hayn-Leichsenring, G. U., Kenett, Y. N., Schulz, K., & Chatterjee, A. (2020). Abstract art paintings, global image properties, and verbal descriptions: An empirical and computational investigation. Acta Psychologica, 202, 102936. https://doi.org/10.1016/j.actpsy.2019.10293610.1016/j.actpsy.2019.102936Search in Google Scholar

Ishizu, T., & Zeki, S. (2011). Toward a brain-based theory of beauty. PloS One, 6(7), https://doi.org/10.1371/journal.pone.0021852.10.1371/journal.pone.0021852Search in Google Scholar

Janßen, B. (2018). Erprobung des Ratinginstruments für zweidimensionale bildnerische Arbeiten (RizbA): Ansatz zu einer möglichen Untersuchung des bildnerischen Ausdrucks von Schmerz in gemalten Bildern von Menschen mit chronischer Schmerzsymptomatik [Testing the rating instrument for two-dimensional pictorial works (RizbA): Pilot study for investigating pictorial expression in pictures painted by people with chronic pain symptoms]. HKS – University of Applied Sciences and Arts, Ottersberg. Zenodo database. https://doi.org/10.5281/zenodo.3407808Search in Google Scholar

Jerusalem, J. L. L. (2020, February 20). Rizba für alle: Überprüfung der Einsatzmöglich-keiten eines Ratinginstruments für zweidimensionale bildnerische Arbeiten (RizbA) und des neu dazu erstellten Manuals [Rizba for everyone: Review of the possible uses of a rating instrument for two-dimensional pictorial works (RizbA) and the newly created manual]. Witten/Herdecke University, Witten. Open Science Framework. https://doi.org/10.17605/OSF.IO/FVJZMSearch in Google Scholar

Koo, T. K., & Li, M. Y. (2016). A guideline of selecting and reporting intraclass correlation coefficients for reliability research. Journal of Chiropractic Medicine, 15(2), 155–163. https://doi.org/10.1016/j.jcm.2016.02.01210.1016/j.jcm.2016.02.012Search in Google Scholar

LeBreton, J. M., & Senter, J. L. (2008). Answers to 20 questions about interrater reliability and interrater agreement. Organizational Research Methods, 11(4), 815–852. https://doi.org/0.1177/109442810629664210.1177/1094428106296642Search in Google Scholar

Leder, H., Belke, B., Oeberst, A., & Augustin, D. (2004). A model of aesthetic appreciation and aesthetic judgments. British Journal of Psychology, 95(4), 489–508. https://doi.org/10.1348/000712604236981110.1348/0007126042369811Search in Google Scholar

Leder, H., Gerger, G., Dressler, S. G., & Schabmann, A. (2012). How art is appreciated. Psychology of Aesthetics, Creativity, and the Arts, 6(1), 2–10. https://doi.org/10.1037/a002639610.1037/a0026396Search in Google Scholar

Leder, H., Tinio, P. P., Brieber, D., Kröner, T., Jacobsen, T., & Rosenberg, R. (2018). Symmetry Is Not a Universal Law of Beauty. Empirical Studies of the Arts, 37(1), 104–114. https://doi.org/10.1177/027623741877794110.1177/0276237418777941Search in Google Scholar

Lee, K., & Ashton, M. C. (2009). The HEXACO Personality Inventory - Revised: A measure of the six major dimensions of personality. http://hexaco.orgSearch in Google Scholar

Leiner, D. (2018). SoSci Survey. https://www.soscisurvey.deSearch in Google Scholar

Levine, T. R., & Hullett, C. R. (2002). Eta squared, partial eta squared, and misreporting of effect size in communication research. Human Communication Research, 28(4), 612–625.10.1111/j.1468-2958.2002.tb00828.xSearch in Google Scholar

Lin, T. H. (2010). A comparison of multiple imputation with EM algorithm and MCMC method for quality of life missing data. Quality & Quantity, 44(2), 277–287. https://doi.org/10.1007/s11135-008-9196-510.1007/s11135-008-9196-5Search in Google Scholar

Lorenzo-Seva, U., & Ten Berge, J. M. (2006). Tucker’s congruence coefficient as a meaningful index of factor similarity. Methodology, 2(2), 57–64. https://doi.org/10.1027/1614-1881.2.2.57Search in Google Scholar

Maclagan, D. (1999). Getting the feel: Problems of research in the fields of psychological aesthetics and art therapy - The struggle with incarnation & the negative sublime. The Arts in Psychotherapy, 5(26), 303–311.10.1016/S0197-4556(99)00027-1Search in Google Scholar

Marengo, L., Fazekas, G., & Tombros, A. (2017). The Interaction of Casual Users with Digital Collections of Visual Art. An Exploratory Study of the WikiArt Website. International Conference on Human-Computer Interaction. Springer.Search in Google Scholar

Martindale, C. (2007). Recent trends in the psychological study of aesthetics, creativity, and the arts. Empirical Studies of the Arts, 25(2), 121–141. https://doi.org/10.2190/B637-1041-2635-16NN10.2190/B637-1041-2635-16NNSearch in Google Scholar

McCrae, R. R., Zonderman, A. B., Costa Jr, P. T., Bond, M. H., & Paunonen, S. V. (1996). Evaluating replicability of factors in the Revised NEO Personality Inventory: Confirmatory factor analysis versus Procrustes rotation. Journal of Personality and Social Psychology, 70(3), 552.10.1037/0022-3514.70.3.552Search in Google Scholar

McGraw, K. O., & Wong, S. P. (1996). Forming inferences about some intraclass correlation coefficients. Psychological Methods, 1(1), 30. https://doi.org/1082–989X/96/S3.0010.1037/1082-989X.1.1.30Search in Google Scholar

Menninghaus, W., Bohrn, I. C., Altmann, U., Lubrich, O., & Jacobs, A. M. (2014). Sounds funny? Humor effects of phonological and prosodic figures of speech. Psychology of Aesthetics, Creativity, and the Arts, 8(1), 71. https://doi.org/10.1037/a003530910.1037/a0035309Search in Google Scholar

Menninghaus, W., Wagner, V., Wassiliwizky, E., Schindler, I., Hanich, J., Jacobsen, T., & Koelsch, S. (2018). What are aesthetic emotions? Psychological Review, 126(2), 171–195. https://doi.org/10.1037/rev000013510.1037/rev0000135Search in Google Scholar

Mersch, D. (2019). Ästhetisches Denken: Kunst als Theoria [Aesthetic thinking: Art as theoria]. In D. Mersch, S. Sasse, & S. Zanetti (Eds.), Ästhetische Theorie [Aesthetic theory] (pp. 241–259). Diaphanes.Search in Google Scholar

Mills, A. (2003). The diagnostic drawing series. In C. Malchiodi (Ed.), The handbook of art therapy (p. 401–209).Search in Google Scholar

Mohammad, S. M., & Kiritchenko, S. (2018). Wikiart emotions: An annotated dataset of emotions evoked by art. Paper presented at the Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018).Search in Google Scholar

Moosbrugger, H., & Kelava, A. (2007). Testtheorie und Fragebogenkonstruktion [Test theory and questionnaire design] (2nd ed.). Springer.Search in Google Scholar

Moshagen, M., Hilbig, B. E., & Zettler, I. (2014). Faktorenstruktur, psychometrische Eigenschaften und Messinvarianz der deutschsprachigen Version des 60-item HEXA-CO Persönlichkeitsinventars [Factor structure, psychometric characteristics and measurement invariance of the German version of the 60-item HEXACO personality inventory]. Diagnostica. https://doi.org/10.1026/0012-1924/a00011210.1026/0012-1924/a000112Search in Google Scholar

Mosquera, G. (1992). The Marco Polo syndrome: Some problems around art and Eurocentrism. Third Text, 6(21), 35–41. https://doi.org/10.1080/0952882920857638210.1080/09528829208576382Search in Google Scholar

Nadal, M., Munar, E., Marty, G., & Cela-Conde, C. J. (2010). Visual complexity and beauty appreciation: Explaining the divergence of results. Empirical Studies of the Arts, 28(2), 173–191. https://doi.org/10.2190/EM.28.2.d10.2190/EM.28.2.dSearch in Google Scholar

O’Connor, B. P. (2000). SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test. Behavior Research Methods, Instruments, & Computers, 32(3), 396–402.10.3758/BF03200807Search in Google Scholar

O’Connor, B. P. (2018). SPSS, SAS, and MATLAB programs for determining the number of components and factors using parallel analysis and velicer’s MAP test. https://people.ok.ubc.ca/brioconn/nfactors/nfactors.htmlSearch in Google Scholar

Osborne, J. W., & Costello, A. B. (2004). Sample size and subject to item ratio in principal components analysis. Practical Assessment, Research & Evaluation, 9(11), 8.Search in Google Scholar

Osborne, J. W., & Costello, A. B. (2009). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Pan-Pacific Management Review, 12(2), 131–146.Search in Google Scholar

Pelowski, M., Markey, P. S., Forster, M., Gerger, G., & Leder, H. (2017). Move me, astonish me… delight my eyes and brain: The Vienna integrated model of top-down and bottom-up processes in art perception (VIMAP) and corresponding affective, evaluative, and neurophysiological correlates. Physics of Life Reviews, 21, 80–125. https://doi.org/10.1016/j.plrev.2017.02.00310.1016/j.plrev.2017.02.003Search in Google Scholar

Penn Center for Neuroaesthetics. (2019). Resources. https://neuroaesthetics.med.upenn.edu/research.html-resourcesSearch in Google Scholar

Pigott, T. D. (2001). A review of methods for missing data. Educational Research and Evaluation, 7(4), 353–383.10.1076/edre.7.4.353.8937Search in Google Scholar

Raykov, T., & Little, T. D. (1999). A note on procrustean rotation in exploratory factor analysis: A computer intensive approach to goodness-of-fit evaluation. Educational and Psychological Measurement, 59(1), 47–57.10.1177/0013164499591004Search in Google Scholar

Rubin, D. B. (1996). Multiple imputation after 18+ years. Journal of the American Statistical Association, 91(434), 473–489.10.1080/01621459.1996.10476908Search in Google Scholar

Schafer, J. L., & Olsen, M. K. (1998). Multiple imputation for multivariate missing-data problems: A data analyst’s perspective. Multivariate Behavioral Research, 33(4), 545–571.10.1207/s15327906mbr3304_5Search in Google Scholar

Schoch, K. (2014, February 25). Ratinginstrument für zweidimensionale bildnerische Arbeiten: Methodische Arbeit zur Entwicklung eines psychologischen Tests zur Erfassung von bildnerischem Ausdruck [Rating instrument for two-dimensional pictorial works: Methodical development of a psychological test measuring pictorial expression]. University of Mannheim. Zenodo database. http://doi.org/10.5281/zenodo.1479744Search in Google Scholar

Schoch, K., Gruber, H., & Ostermann, T. (2017). Measuring art: Methodical development of a quantitative rating instrument measuring pictorial expression (RizbA). The Arts in Psychotherapy, 55, 73–79. https://doi.org/10.1016/j.aip.2017.04.01410.1016/j.aip.2017.04.014Search in Google Scholar

Schoch, K., & Ostermann, T. (under review). Psychometrics of art: Validation of RizbA, a quantitative rating instrument for pictorial expression.Search in Google Scholar

Schönemann, P. H. (1966). A generalized solution of the orthogonal procrustes problem. Psychometrika, 31(1), 1–10.10.1007/BF02289451Search in Google Scholar

Shrout, P. E., & Fleiss, J. L. (1979). Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin, 86(2), 420.10.1037/0033-2909.86.2.420Search in Google Scholar

Silvia, P. J. (2007). An introduction to multilevel modeling for research on the psychology of art and creativity. Empirical Studies of the Arts, 25(1), 1–20.10.2190/6780-361T-3J83-04L1Search in Google Scholar

Silvia, P. J., & Nusbaum, E. C. (2011). On personality and piloerection: Individual differences in aesthetic chills and other unusual aesthetic experiences. Psychology of Aesthetics, Creativity, and the Arts, 5(3), 208. https://doi.org/0.1037/a002191410.1037/a0021914Search in Google Scholar

Simon, H., & Verstegen, U. (2004). prometheus: Das verteilte digitale Bildarchiv für Forschung und Lehre. Neuartige Werkzeuge zur Bereitstellung von verteiltem Content für Wissenschaft und Forschung [prometheus: Digital image database for research and education. New tools for providing shared content for science and research]. Historical Social Research/Historische Sozialforschung, 247–257.Search in Google Scholar

Specht, S. M. (2007). Successive contrast effects for judgments of abstraction in artwork following minimal pre-exposure. Empirical Studies of the Arts, 25(1), 63–70.10.2190/W717-88W2-2233-12H3Search in Google Scholar

Streb, J. H. (1984). Thoughts on phenomenology, education, and art. Studies in Art Education, 25(3), 159–166. https://doi.org/10.1080/00393541.1984.11650370Search in Google Scholar

Stuhler-Bauer, A., & Elbing, U. (2003). Die phänomenologische Bilderfassung: Ein kunst-therapeutisches Instrument. [The phenomenological picture survey: An art therapeutic instrument]. Musik-, Tanz- und Kunsttherapie, 14, 32–46. https://doi.org/10.1026/0933-6885.14.1.32Search in Google Scholar

Suhr, D. D. (2005). Principal Component Analysis vs. Exploratory Factor Analysis. Proceedings of the thirtieth annual SAS® users group international conference, 203, 30.Search in Google Scholar

Suhr, D. D. (2006). Exploratory or confirmatory factor analysis? Statistics and Data Analysis, 31.Search in Google Scholar

Sullivan, P., & McCarthy, J. (2009). An experiential account of the psychology of art. Psychology of Aesthetics, Creativity, and the Arts, 3(3), 181. https://doi.org/10.1037/a001429210.1037/a0014292Search in Google Scholar

Tinio, P. P. (2013). From artistic creation to aesthetic reception: The mirror model of art. Psychology of Aesthetics, Creativity, and the Arts, 7(3), 265–275. https://doi.org/10.1037/a003087210.1037/a0030872Search in Google Scholar

Tröndle, M., & Tschacher, W. (2012). The physiology of phenomenology: The effects of artworks. Empirical Studies of the Arts, 30(1), 75–113.10.2190/EM.30.1.gSearch in Google Scholar

Tucker, L. R., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38(1), 1–10.10.1007/BF02291170Search in Google Scholar

Walter, S., Eliasziw, M., & Donner, A. (1998). Sample size and optimal designs for reliability studies. Statistics in Medicine, 17(1), 101–110.10.1002/(SICI)1097-0258(19980115)17:1<101::AID-SIM727>3.0.CO;2-ESearch in Google Scholar

Wassiliwizky, E., Wagner, V., Jacobsen, T., & Menninghaus, W. (2015). Artelicited chills indicate states of being moved. Psychology of Aesthetics, Creativity, and the Arts, 9(4), 405. https://doi.org/10.1037/aca000002310.1037/aca0000023Search in Google Scholar

Wünsch, K. L. (2016). Comparing two groups’ factor structures: Pearson r and the coefficient of congruence. http://core.ecu.edu/psyc/wuenschk/MV/FA/FactorStructure-TwoGroups.docxSearch in Google Scholar

Wundt, W. M. (1874). Grundzüge der physiologischen Psychologie [Characteristics of physiological psychology] (Vol. 1). Engelman.Search in Google Scholar

Zaidel, D. W., Nadal, M., Flexas, A., & Munar, E. (2013). An evolutionary approach to art and aesthetic experience. Psychology of Aesthetics, Creativity, and the Arts, 7(1), 100. https://doi.org/10.1037/a002879710.1037/a0028797Search in Google Scholar

Zumbo, B. D., Sireci, S. G., & Hambleton, R. K. (2003). Revisiting exploratory methods for construct comparability: Is there something to be gained from the ways of old. Paper presented at the Annual Meeting of the National Council for Measurement in Education (NCME), Chicago, Illinois.Search in Google Scholar

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