IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i17p6980-d404862.html
   My bibliography  Save this article

Quantitative Modelling and Perspective Taking: Two Competencies of Decision Making for Sustainable Development

Author

Listed:
  • Marko Böhm

    (Department of Biology Education, Göttingen University, 37073 Göttingen, Germany
    Marko Böhm and Susanne Bögeholz are shared first-authors.)

  • Jan Barkmann

    (Department of Social Sciences, Hochschule Darmstadt—University of Applied Sciences, 64295 Darmstadt, Germany
    Department of Agricultural Economics and Rural Development, Faculty of Agricultural Sciences, Göttingen University, 37073 Göttingen, Germany)

  • Sabina Eggert

    (Department of Biology Education, Göttingen University, 37073 Göttingen, Germany)

  • Claus H. Carstensen

    (Psychological Methods of Educational Research, University of Bamberg, 96047 Bamberg, Germany)

  • Susanne Bögeholz

    (Department of Biology Education, Göttingen University, 37073 Göttingen, Germany
    Centre of Biodiversity and Sustainable Land Use, Göttingen University, 37077 Göttingen, Germany
    Marko Böhm and Susanne Bögeholz are shared first-authors.)

Abstract

Land use change, natural resource use and climate change are challenging Sustainable Development issues (SDGs 13–15). Fostering the competencies to deal with such issues is one core task for current educational endeavors. Among these competencies, decision-making competencies are central. In detail, we investigate how learners evaluate alternative decision-making options to improve existing competence models. We exemplify our competence modelling approach using the designation of a Marine Protected Area. The cross-sectional sample consists of secondary school students and student teachers ( N = 760). Partial Credit modelling shows that quantitative modelling of decision-making options is a different competence dimension than perspective taking if contextualized for Sustainable Development. In quantitative modelling, mathematical modelling is used to evaluate and reflect on decision-making options. Perspective taking covers the ability to consider different normative perspectives on Sustainable Development issues. Both dimensions show plausible (latent) correlations with related constructs within the nomological net, i.e., with qualitative arguing, economic literacy, mathematical competencies, reading competencies and analytical problem solving. Furthermore, person-abilities increase with level of education for both dimensions. The identified competence dimensions quantitative modelling and perspective taking were successfully modelled and shown to be distinct; the resulting measuring instrument is reliable and valid.

Suggested Citation

  • Marko Böhm & Jan Barkmann & Sabina Eggert & Claus H. Carstensen & Susanne Bögeholz, 2020. "Quantitative Modelling and Perspective Taking: Two Competencies of Decision Making for Sustainable Development," Sustainability, MDPI, vol. 12(17), pages 1-32, August.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:6980-:d:404862
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/17/6980/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/17/6980/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Geoff Masters, 1982. "A rasch model for partial credit scoring," Psychometrika, Springer;The Psychometric Society, vol. 47(2), pages 149-174, June.
    2. Thomas Warm, 1989. "Weighted likelihood estimation of ability in item response theory," Psychometrika, Springer;The Psychometric Society, vol. 54(3), pages 427-450, September.
    3. Bennett, Nathan James & Dearden, Philip, 2014. "Why local people do not support conservation: Community perceptions of marine protected area livelihood impacts, governance and management in Thailand," Marine Policy, Elsevier, vol. 44(C), pages 107-116.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Janna Niens & Lisa Richter-Beuschel & Tobias C. Stubbe & Susanne Bögeholz, 2021. "Procedural Knowledge of Primary School Teachers in Madagascar for Teaching and Learning towards Land-Use- and Health-Related Sustainable Development Goals," Sustainability, MDPI, vol. 13(16), pages 1-36, August.
    2. Lisa Richter-Beuschel & Susanne Bögeholz, 2020. "Knowledge of Student Teachers on Sustainable Land Use Issues–Knowledge Types Relevant for Teacher Education," Sustainability, MDPI, vol. 12(20), pages 1-20, October.
    3. Siti Nur Fatehah Radzi & Kamisah Osman & Mohd Nizam Mohd Said, 2022. "Progressing towards Global Citizenship and a Sustainable Nation: Pillars of Climate Change Education and Actions," Sustainability, MDPI, vol. 14(9), pages 1-23, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Janna Niens & Lisa Richter-Beuschel & Tobias C. Stubbe & Susanne Bögeholz, 2021. "Procedural Knowledge of Primary School Teachers in Madagascar for Teaching and Learning towards Land-Use- and Health-Related Sustainable Development Goals," Sustainability, MDPI, vol. 13(16), pages 1-36, August.
    2. Xiao Li & Hanchen Xu & Jinming Zhang & Hua-hua Chang, 2023. "Deep Reinforcement Learning for Adaptive Learning Systems," Journal of Educational and Behavioral Statistics, , vol. 48(2), pages 220-243, April.
    3. David Andrich, 2010. "Sufficiency and Conditional Estimation of Person Parameters in the Polytomous Rasch Model," Psychometrika, Springer;The Psychometric Society, vol. 75(2), pages 292-308, June.
    4. Anders Skrondal & Sophia Rabe-Hesketh, 2022. "The Role of Conditional Likelihoods in Latent Variable Modeling," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 799-834, September.
    5. Georg Gittler & Gerhard Fischer, 2011. "IRT-Based Measurement of Short-Term Changes of Ability, With an Application to Assessing the “Mozart Effectâ€," Journal of Educational and Behavioral Statistics, , vol. 36(1), pages 33-75, February.
    6. Robert Zwitser & Gunter Maris, 2015. "Conditional Statistical Inference with Multistage Testing Designs," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 65-84, March.
    7. David Magis & Gilles Raîche & Sébastien Béland, 2012. "A Didactic Presentation of Snijders’s lz* Index of Person Fit With Emphasis on Response Model Selection and Ability Estimation," Journal of Educational and Behavioral Statistics, , vol. 37(1), pages 57-81, February.
    8. Fumiko Samejima, 1997. "Departure from normal assumptions: A promise for future psychometrics with substantive mathematical modeling," Psychometrika, Springer;The Psychometric Society, vol. 62(4), pages 471-493, December.
    9. Tabea Feseker & Timo Gnambs & Cordula Artelt, 2021. "Setting a standard for low reading proficiency: A comparison of the bookmark procedure and constrained mixture Rasch model," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-22, November.
    10. David Magis, 2015. "A Note on Weighted Likelihood and Jeffreys Modal Estimation of Proficiency Levels in Polytomous Item Response Models," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 200-204, March.
    11. David Magis & Norman Verhelst, 2017. "On the Finiteness of the Weighted Likelihood Estimator of Ability," Psychometrika, Springer;The Psychometric Society, vol. 82(3), pages 637-647, September.
    12. Minh-Hoang Nguyen & Minh-Phuong Thi Duong & Manh-Cuong Nguyen & Noah Mutai & Ruining Jin & Phuong-Tri Nguyen & Tam-Tri Le & Quan-Hoang Vuong, 2023. "Promoting Stakeholders’ Support for Marine Protection Policies: Insights from a 42-Country Dataset," Sustainability, MDPI, vol. 15(16), pages 1-19, August.
    13. César Merino-Soto & Gina Chávez-Ventura & Verónica López-Fernández & Guillermo M. Chans & Filiberto Toledano-Toledano, 2022. "Learning Self-Regulation Questionnaire (SRQ-L): Psychometric and Measurement Invariance Evidence in Peruvian Undergraduate Students," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    14. Anja C. Rohenkohl & Monika Bullinger & Andreas M. Pleil & Levente Kriston & Julia H. Quitmann, 2016. "A Brief Version of the Quality of Life in Short Stature Youth Questionnaire - the QoLISSY-Brief," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 9(4), pages 971-984, December.
    15. Roberto Burro & Riccardo Sartori & Giulio Vidotto, 2011. "The method of constant stimuli with three rating categories and the use of Rasch models," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(1), pages 43-58, January.
    16. P. A. Ferrari & S. Salini, 2008. "Measuring Service Quality: The Opinion of Europeans about Utilities," Working Papers 2008.36, Fondazione Eni Enrico Mattei.
    17. Timothy K Marcella & Scott M Gende & Daniel D Roby & Arthur Allignol, 2017. "Disturbance of a rare seabird by ship-based tourism in a marine protected area," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-23, May.
    18. repec:zbw:rwidps:0002 is not listed on IDEAS
    19. Chang, Hsin-Li & Yang, Cheng-Hua, 2008. "Explore airlines’ brand niches through measuring passengers’ repurchase motivation—an application of Rasch measurement," Journal of Air Transport Management, Elsevier, vol. 14(3), pages 105-112.
    20. Dahmann, Sarah C., 2017. "How does education improve cognitive skills? Instructional time versus timing of instruction," Labour Economics, Elsevier, vol. 47(C), pages 35-47.
    21. Torberg Falch & Justina AV Fischer, 2008. "Does a generous welfare state crowd out student achievement? Panel data evidence from international student tests," TWI Research Paper Series 31, Thurgauer Wirtschaftsinstitut, Universität Konstanz.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:6980-:d:404862. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.