Studying creativity training programs: A methodological analysis
Abstract
Throughout decades of creativity research, a range of creativity training programs have been developed, tested, and analyzed. In 2004 Scott and colleagues published a meta‐analysis of all creativity training programs to date, and the review presented here sat out to identify and analyze studies published since the seminal 2004 review. Focusing on quantitative studies of creativity training programs for adults, our systematic review resulted in 22 publications. All studies were analyzed, but comparing the reported effectiveness of training across studies proved difficult due to methodological inconsistencies, variations in reporting of results as well as types of measures used. Thus a consensus for future studies is called for to answer the question: Which elements make one creativity training program more effective than another? This is a question of equal relevance to academia and industry, as creativity training is a tool that can contribute to enhancement of organizational creativity and subsequently innovation. However, to answer the question, future studies of creativity training programs need to be carefully designed to contribute to a more transparent landscape. Thus this paper proposes a methodological research standard consisting of three criteria, to which researchers can look when designing future studies of the effectiveness of creativity training.
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Evidence on the effectiveness of CTPIP remains elusive.
“In addition, evidence on the effectiveness of CTPIP remains elusive (Valgeirsdottir & Onarheim, 2017).”
From Creativity training programs in primary education: A systematic review and meta-analysis (2022) · cites this paper as Valgeirsdottir & Onarheim, 2017
Valgeirsdottir & Onarheim (2017) propose a methodological research standard consisting of three criteria: measure creativity of participants both pre- and post-training, use an attention-placebo control group, and ensure a sufficient sample size.
“Indeed, Valgeirsdottir & Onarheim (2017) propose a methodological research standard consisting of three criteria (i.e., measure creativity of participants both pre-and post-training, use an attention-placebo control group, and ensure a sufficient sample size), to which researchers can look when designing and planning future research of the effectiveness of CTPIP.”
From Creativity training programs in primary education: A systematic review and meta-analysis (2022) · cites this paper as Valgeirsdottir & Onarheim, 2017
The scoping search identified only three systematic reviews in students or general population focusing on the impact of CTPIP.
“Our scoping search has identified only three systematic reviews in students or general population focusing on the impact of CTPIP (i.e., Davies et al., 2013;Scott et al., 2004;Valgeirsdottir & Onarheim, 2017).”
From Creativity training programs in primary education: A systematic review and meta-analysis (2022) · cites this paper as Valgeirsdottir & Onarheim, 2017
RCT or QED with comparison group provide the strongest evidence that programs rather than some other factor caused the improvement in creativity or divergent thinking.
“this review only included studies adopting RCT or Quasi-Experimental Design (QED) with comparison group (i.e., random assignment and/or matching with appropriate adjustment for any pretest differences) (Campbell & Stanley, 1963), because these provide the strongest evidence that programs rather than some other factor caused the improvement in creativity or divergent thinking (Slavin, 2008;Valgeirs”
From Creativity training programs in primary education: A systematic review and meta-analysis (2022) · cites this paper as Valgeirsdottir & Onarheim, 2017
The review included only studies based on robust evaluation research designs.
“we have only included studies based on robust evaluation research designs (Slavin, 2008;Valgeirsdottir & Onarheim, 2017)”
From Creativity training programs in primary education: A systematic review and meta-analysis (2022) · cites this paper as Valgeirsdottir & Onarheim, 2017
The number of studies included in this review is small compared to other reviews on CTPIP.
“Obviously, the number of studies included in this review can be considered small, especially when compared to the number of studies included in other reviews on CTPIP (e.g., Scott et al., 2004;Valgeirsdottir & Onarheim, 2017).”
From Creativity training programs in primary education: A systematic review and meta-analysis (2022) · cites this paper as Valgeirsdottir & Onarheim, 2017
CTPIP influence the development of typical developing primary education pupils' creative potential.
“it is demonstrated that CTPIP influence the development of their creative potential, as already exposed by authors such as Scott et al. (2004), andValgeirsdottir &Onarheim (2017).”
From Creativity training programs in primary education: A systematic review and meta-analysis (2022) · cites this paper as Valgeirsdottir & Onarheim (2017)
Cites
A typology of reviews: an analysis of 14 review types and associated methodologies
Grant, M. J., & Booth, A. (2009) · Health Information & Libraries Journal · doi:10.1111/j.1471-1842.2009.00848.x · Cited by 10,817 · see citing works
The standard definition of creativity
Runco, M. A., & Jaeger, G. J. (2012) · Creativity Research Journal · doi:10.1080/10400419.2012.650092 · Cited by 3,895 · see citing works
The Effectiveness of Creativity Training: A Quantitative Review
Scott, G., Leritz, L. E., & Mumford, M. D. (2004) · Creativity Research Journal · doi:10.1080/10400410409534549 · Cited by 1,132 · see citing works
Can We Trust Creativity Tests? A Review of the Torrance Tests of Creative Thinking (TTCT)
Kim, K. H. (2006) · Creativity Research Journal · doi:10.1207/s15326934crj1801_2 · Cited by 830 · see citing works
Fasko, D. (2001) · Creativity Research Journal · doi:10.1207/s15326934crj1334_09 · Cited by 445 · see citing works
Is the proof in the pudding? Reanalyses of Torrance׳s (1958 to present) longitudinal data
Plucker, J. A. (1999) · Creativity Research Journal · doi:10.1207/s15326934crj1202_3 · Cited by 390 · see citing works
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Evaluating Creativity Support Tools in HCI Research
Remy, C., MacDonald Vermeulen, L., Frich, J., Biskjaer, M. M., & Dalsgaard, P. (2020) · Proceedings of the 2020 ACM Designing Interactive Systems Conference · doi:10.1145/3357236.3395474 · Cited by 96 · see citing works
Creativity training programs in primary education: A systematic review and meta-analysis
Ruiz-del-Pino, B., Fernández-Martín, F. D., & Arco-Tirado, J. L. (2022) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2022.101172 · Cited by 48 · see citing works
- Authors
- Valgeirsdottir, D., & Onarheim, B.
- Affiliations
- Management Engineering Technical University of Denmark Lyngby Denmark
- Technical University of Denmark (DK)
- Venue
- Creativity and Innovation Management
- Publisher
- Wiley
- Published
- 2017-11-22
- Volume
- 26
- Issue
- 4
- Pages
- 430-439
- ISSN
- 0963-1690 (ISSN-L)
- 1467-8691
- OpenAlex
- W2769599902
- Cited by
- 76
- References
- 6
- Citations by year
- 2026: 8 · 2025: 11 · 2024: 11 · 2023: 7 · 2022: 10 · 2021: 14 · 2020: 9 · 2019: 3 · 2018: 2 · 2017: 1
- FWCI
- 5.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Creativity and Innovation Management (publishedVersion)
- Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Creativity in Education and Neuroscience
- Social Sciences › Psychology › Applied Psychology › Human Resource Development and Performance Evaluation
- Physical Sciences › Engineering › Mechanical Engineering › Design Education and Practice
- Keywords
- creativity training, methodological standards, research design, organizational creativity, innovation
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