Citovaná a využitá literatura

Použité zdroje

Alcover, Carlos-María, Ramón Rico, a Michael West. 2021. „Struggling to Fix Teams in Real Work Settings: A Challenge Assessment and an Intervention Toolbox". The Spanish Journal of Psychology 24: e23. https://doi.org/10.1017/SJP.2021.21.

Alexander, Rohan. 2023. Telling Stories with Data. https://tellingstorieswithdata.com/.

Analysis Function Central Team. 2022. „Data Visualisation: Charts – Government Analysis Function". Civil Service UK. 2022. https://analysisfunction.civilservice.gov.uk/policy-store/data-visualisation-charts/.

Analysis Function Central Team, ONS. 2021a. „Creating and Sharing Spreadsheets". GOV.UK. 2021. https://www.gov.uk/guidance/creating-and-sharing-spreadsheets.

———. 2021b. „Making Spreadsheets Accessible: A Checklist of the Basics – Government Analysis Function". 2021. https://analysisfunction.civilservice.gov.uk/policy-store/making-spreadsheets-accessible-a-brief-checklist-of-the-basics/.

———. 2021c. „Releasing Statistics in Spreadsheets". 2021. https://analysisfunction.civilservice.gov.uk/policy-store/releasing-statistics-in-spreadsheets/#section-14.

Angrist, Joshua, a Jörn-Steffen Pischke. 2009. Mostly Harmless Econometrics: An Empiricist’s Companion.

Bamberger, Michael. 2012. „Introduction to Mixed Methods in Impact Evaluation". Impact Evaluation Notes. https://www.interaction.org/wp-content/uploads/2019/03/Mixed-Methods-in-Impact-Evaluation-English.pdf.

Bardach, Eugene. 2000. A Practical Guide for Policy Analysis: The Eightfold Path to More Effective Problem Solving. New York: Chatham House Publishers, Seven Bridges Press.

Bardach, Eugene, a Eric M. Patashnik. 2020. A Practical Guide for Policy Analysis: The Eightfold Path to More Effective Problem Solving. Sixth edition. Washington, D.C: CQ Press, an imprint of SAGE.

Bassa, Angela. 2018. „Managing a Data Science Team". Harvard Business Review, 24. říjen 2018. https://hbr.org/2018/10/managing-a-data-science-team.

Behún, Dalibor, a Petr Behún. 2023. Pište čtivě a srozumitelně: šílení korektoři o stylistice a plain language. Vydání první. Brno: Zoner Press.

Bertoni, Eleonora, Matteo Fontana, Lorenzo Gabrielli, Serena Signorelli, a Michele Vespe, ed. 2023. Handbook of Computational Social Science for Policy. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-16624-2.

Biemer, Paul P. 2010. „Total Survey Error: Design, Implementation, and Evaluation". Public Opinion Quarterly 74 (5): 817–48. https://doi.org/10.1093/poq/nfq058.

Boger, Tal, Steven B. Most, a Steven L. Franconeri. 2021. „Jurassic Mark: Inattentional Blindness for a Datasaurus Reveals That Visualizations Are Explored, Not Seen". In 2021 IEEE Visualization Conference (VIS), 71–75. New Orleans, LA, USA: IEEE. https://doi.org/10.1109/VIS49827.2021.9623273.

Bouchal, Petr. 2020a. „Czso: Use Open Data from the Czech Statistical Office in R". https://CRAN.R-project.org/package=czso.

———. 2020b. „Statnipokladna: Use Data from the Czech Public Finance Database". https://CRAN.R-project.org/package=statnipokladna.

Brannen, Julia, a Gemma Moss. 2012. „Critical Issues in Designing Mixed Methods Policy Research". American Behavioral Scientist 56 (6): 789–801. https://doi.org/10.1177/0002764211433796.

Breckon, Jonathan. 2015. „Using Research Evidence A Practice Guide". Nesta. https://media.nesta.org.uk/documents/Using_Research_Evidence_for_Success_-_A_Practice_Guide.pdf.

———. 2022. „Communicating and Using Systematic Reviews—Learning from Other Disciplines". Campbell Systematic Reviews 18 (4): e1294. https://doi.org/10.1002/cl2.1294.

Breckon, Jonathan. 2022. „Quick, but not dirty – Can rapid evidence reviews reliably inform policy?" Impact of Social Sciences. 27. duben 2022. https://blogs.lse.ac.uk/impactofsocialsciences/2022/04/27/quick-but-not-dirty-can-rapid-evidence-reviews-reliably-inform-policy/.

Breckon, Jonathan, a Jane Dodson. 2016. „Using Evidence: What Works?" https://eppi.ioe.ac.uk/cms/Portals/0/PDF%20reviews%20and%20summaries/Alliance%20Policy%20Using%20evidence%20v4.pdf?ver=2016-04-12-152711-000.

Broman, Karl W., a Kara H. Woo. 2018. „Data Organization in Spreadsheets". The American Statistician 72 (1): 2–10. https://doi.org/10.1080/00031305.2017.1375989.

Burch, Patricia, a Carolyn J. Heinrich. 2016. Mixed Methods for Policy Research and Program Evaluation. 2455 Teller Road, Thousand Oaks California 91320: SAGE Publications, Inc. https://doi.org/10.4135/9781483398259.

Cairney, Paul. 2016. The Politics of Evidence-Based Policy Making. Springer. https://books.google.com?id=S9L7CwAAQBAJ.

———. 2018. „Three Habits of Successful Policy Entrepreneurs". Policy & Politics 46 (2): 199–215. https://doi.org/10.1332/030557318X15230056771696.

———. 2021. The Politics of Policy Analysis. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-66122-9.

Cairney, Paul, a Richard Kwiatkowski. 2017. „How to Communicate Effectively with Policymakers: Combine Insights from Psychology and Policy Studies". Palgrave Communications 3 (1, 1): 1–8. https://doi.org/10.1057/s41599-017-0046-8.

Cairney, Paul, a Kathryn Oliver. 2017. „Evidence-Based Policymaking Is Not like Evidence-Based Medicine, so How Far Should You Go to Bridge the Divide between Evidence and Policy?" Health Research Policy and Systems 15 (1): 35. https://doi.org/10.1186/s12961-017-0192-x.

———. 2020. „How Should Academics Engage in Policymaking to Achieve Impact?" Political Studies Review 18 (2): 228–44. https://doi.org/10.1177/1478929918807714.

Cairo, Alberto. 2016. The Truthful Art: Data, Charts, and Maps for Communication. New Riders. https://books.google.com?id=8dKKCwAAQBAJ.

Camões, Jorge. 2016. Data at Work: Best Practices for Creating Effective Charts and Information Graphics in Microsoft Excel. 1st edition. Indianapolis, Ind: New Riders.

Capano, Giliberto, a Anna Malandrino. 2022. „Mapping the Use of Knowledge in Policymaking: Barriers and Facilitators from a Subjectivist Perspective (1990–2020)". Policy Sciences 55 (3): 399–428. https://doi.org/10.1007/s11077-022-09468-0.

Colebatch, Hal, Robert Hoppe, a Mirko Noordegraaf, ed. 2011. Working for Policy. Amsterdam University Press. https://doi.org/10.1515/9789048513086.

Creswell, John W., a Vicki L. Plano Clark. 2017. Designing and Conducting Mixed Methods Research. SAGE Publications. https://books.google.com?id=eTwmDwAAQBAJ.

ČSÚ / UNECE. 2012. Jak Dát Číslům Smysl: Průvodce Prezentací Statistik. https://www.czso.cz/documents/10180/23181337/jak_dat_cislum_smysl.pdf/4f5c5aef-4ff9-408f-8429-4b3ef069cc1a?version=1.1.

DAMA International. 2017. DAMA-DMBOK: Data Management Body of Knowledge (2nd Edition). Denville, NJ, USA: Technics Publications, LLC.

Davidson, E. Jane. 2007. „Unlearning Some of Our Social Scientist Habits". Journal of MultiDisciplinary Evaluation 4 (8, 8): iii–vi. https://journals.sfu.ca/jmde/index.php/jmde_1/article/view/68.

Dehaene, Stanislas, Ghislaine Dehaene-Lambertz, a Laurent Cohen. 1998. „Abstract Representations of Numbers in the Animal and Human Brain". Trends in Neurosciences 21 (8): 355–61. https://doi.org/10.1016/S0166-2236(98)01263-6.

Department for Education UK. 2023. „Style and Formatting Guide for Research Publications". https://assets.publishing.service.gov.uk/media/6573218e33b7f20012b7213c/Research_reports_guidance_December_2023.pdf.

„Designing and Conducting Mixed Methods Research". 2023. SAGE Publications Inc. 17. říjen 2023. https://us.sagepub.com/en-us/nam/designing-and-conducting-mixed-methods-research/book241842.

Dimara, Evanthia, Harry Zhang, Melanie Tory, a Steven Franconeri. 2022. „The Unmet Data Visualization Needs of Decision Makers Within Organizations". IEEE Transactions on Visualization and Computer Graphics 28 (12): 4101–12. https://doi.org/10.1109/TVCG.2021.3074023.

Dittrich, Jan. b.r. A Beg­inner’s Guide to Finding User Needs. Viděno 18. říjen 2023. https://jdittrich.github.io/userNeedResearchBook/.

Downe, Louise. 2020. Good Services: Decoding the Mystery of What Makes a Good Service. Laurence King Publishing. https://books.google.com?id=8Dg5xQEACAAJ.

eu academy. 2023. „Data Visualisation Guide". data.europa.eu - The official portal for European data. 2023. https://data.europa.eu/apps/data-visualisation-guide/.

European Commission. Joint Research Centre. 2021. Values and Identities: A Policymaker’s Guide. LU: Publications Office. https://data.europa.eu/doi/10.2760/349527.

Evergreen, Dr Stephanie. 30 dubna 2019. Effective Data Visualization: The Right Chart for the Right Data. Los Angeles.

Feigenson, Lisa, Stanislas Dehaene, a Elizabeth Spelke. 2004. „Core Systems of Number". Trends in Cognitive Sciences 8 (7): 307–14. https://doi.org/10.1016/j.tics.2004.05.002.

Foster, Ian, ed. 2021. Big Data and Social Science: Data Science Methods and Tools for Research and Practice. Second edition. Chapman a Hall/CRC Statistics in the Social a Behavioural Sciences. Boca Raton, FL: CRC Press. https://textbook.coleridgeinitiative.org/.

Franconeri, Steven L. 2021. „Three Perceptual Tools for Seeing and Understanding Visualized Data". Current Directions in Psychological Science 30 (5): 367–75. https://doi.org/10.1177/09637214211009512.

Franconeri, Steven L., Lace M. Padilla, Priti Shah, Jeffrey M. Zacks, a Jessica Hullman. 2021. „The Science of Visual Data Communication: What Works". Psychological Science in the Public Interest. https://doi.org/10.1177/15291006211051956.

Gaarder, Marie, Birte Snilstveit, Martina Vojtkova, a Ami Bhavsar. 2013. „Evidence Gap Maps: A Tool for Promoting Evidence-Informed Policy and Prioritizing Future Research". World Bank, Policy Research Working Paper 6725, prosinec.

Gebru, Timnit, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, a Kate Crawford. 2021. „Datasheets for Datasets". 1. prosinec 2021. https://doi.org/10.48550/arXiv.1803.09010.

Goldacre, Ben. 2022. „Better, Broader, Safer: Using Health Data for Research and Analysis". Department of Health and Social Care. https://www.gov.uk/government/publications/better-broader-safer-using-health-data-for-research-and-analysis.

Gough, David, a Janice Tripney. b.r. „Systematic Reviews for Policy".

Grolemund, Garrett, a Hadley Wickham. b.r. R for Data Science. Viděno 25. říjen 2020. https://r4ds.had.co.nz/.

Groves, Robert M., a Lars Lyberg. 2010. „Total Survey Error: Past, Present, and Future". Public Opinion Quarterly 74 (5): 849–79. https://doi.org/10.1093/poq/nfq065.

Gully, Stanley M., Kara A. Incalcaterra, Aparna Joshi, a J. Matthew Beaubien. 2002. „A Meta-Analysis of Team-Efficacy, Potency, and Performance: Interdependence and Level of Analysis as Moderators of Observed Relationships." Journal of Applied Psychology 87 (5): 819–32. https://doi.org/10.1037/0021-9010.87.5.819.

Hallsworth, Michael, Jill Rutter, a Simon Parker. 2011. „Policy Making in the Real World". Institute for Government. https://www.instituteforgovernment.org.uk/publications/policy-making-real-world.

Haynes, Abby S., James A. Gillespie, Gemma E. Derrick, Wayne D. Hall, Sally Redman, Simon Chapman, a Heidi Sturk. 2011. „Galvanizers, Guides, Champions, and Shields: The Many Ways That Policymakers Use Public Health Researchers". The Milbank Quarterly 89 (4): 564–98. https://doi.org/10.1111/j.1468-0009.2011.00643.x.

Healy, Kieran. 2019. Data Visualization – A Practical Introduction. Princeton, NJ: Princeton University Press.

Hejzlarová, Eva M., Magdalena Mouralová, a Martina Štěpánková Štýbrová, ed. 2023. Fantastická Data ve Veřejné Politice a Jak Je Využít. Vydání první. Studijní Texty, 77. svazek. Praha: Univerzita Karlova, nakladatelství Karolinum.

Henke, Nicolaus, Jordan Levine, a Paul McInerney. 2018. „You Don’t Have to Be a Data Scientist to Fill This Must-Have Analytics Role". Harvard Business Review, 5. únor 2018. https://hbr.org/2018/02/you-dont-have-to-be-a-data-scientist-to-fill-this-must-have-analytics-role.

HM Government. 2022. „The Green Book". https://www.gov.uk/government/publications/the-green-book-appraisal-and-evaluation-in-central-government/the-green-book-2020.

———. 2023. Government Functional Standard: GovS 010: Analysis. Version: 2.1. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1179878/2023.02_GovS_010_Analysis_v2.1.pdf.

HM Treasury. 2015. The Aqua Book: Guidance on Producing Quality Analysis for Government. https://www.gov.uk/government/publications/the-aqua-book-guidance-on-producing-quality-analysis-for-government.

———. 2020. Magenta Book: Central Government Guidance on Evaluation. https://assets.publishing.service.gov.uk/media/5e96cab9d3bf7f412b2264b1/HMT_Magenta_Book.pdf.

Howlett, M. 2015. „Policy Analytical Capacity: The Supply and Demand for Policy Analysis in Government". Policy and Society 34 (3-4): 173–82. https://doi.org/10.1016/j.polsoc.2015.09.002.

Humphreys, Macartan, a Alan M. Jacobs. 2023. Integrated Inferences: Causal Models for Qualitative and Mixed-Method Research. 1. vyd. Cambridge University Press. https://doi.org/10.1017/9781316718636.

Huntington-Klein, Nick. 2021. The Effect: An Introduction to Research Design and Causality | The Effect. https://theeffectbook.net/.

Chan, David. 2019. „Team-Level Constructs". Annual Review of Organizational Psychology and Organizational Behavior 6 (1): 325–48. https://doi.org/10.1146/annurev-orgpsych-012218-015117.

Institute for Government. 2015. „Evidence Transparency Framework". https://www.instituteforgovernment.org.uk/publications/evidence-transparency-framework.

Izard, Véronique, a Stanislas Dehaene. 2008. „Calibrating the Mental Number Line". Cognition 106 (3): 1221–47. https://doi.org/10.1016/j.cognition.2007.06.004.

Kaduk, Taras. 2018. „Power Query: Excel’s Gateway to Reproducible Analysis". 29. březen 2018. https://taraskaduk.com/posts/2018-03-29-power-query/.

Kirk, Andy. 2019. Data Visualisation: A Handbook for Data Driven Design. 2nd edition. Los Angeles London New Delhi Singapore Washington DC Melbourne: SAGE Publications Ltd.

Knaflic, Cole Nussbaumer. 2015. Storytelling with Data: A Data Visualization Guide for Business Professionals. Hoboken, New Jersey: Wiley.

Kohoutek, Jan, Martin Nekola, a Vilém Novotný. 2013. „Conceptualizing Policy Work as Activity and Field of Research". Central European Journal of Public Policy 7 (červen): 25–58.

Kohoutek, Jan, Martin Nekola, a Arnošt Veselý. 2018. „Policy Work and Its Significance for Public Policy". Handbook on Policy, Process and Governing, prosinec, 253–71. https://www.elgaronline.com/view/edcoll/9781784714864/9781784714864.00022.xml.

Košťáková, Tereza. 2019. „O složitém jednoduše". Statistika&My. 1. květen 2019. https://www.statistikaamy.cz/o-slozitem-jednoduse.

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Kozlowski, Steve W. J. 2018. „Enhancing the Effectiveness of Work Groups and Teams: A Reflection". Perspectives on Psychological Science 13 (2): 205–12. https://doi.org/10.1177/1745691617697078.

Kozlowski, Steve W. J., a Bradford S. Bell. 2019. „Evidence-Based Principles and Strategies for Optimizing Team Functioning and Performance in Science Teams". Editoval Kara L. Hall, Amanda L. Vogel, a Robert T. Croyle. Strategies for Team Science Success, 269–93. https://doi.org/10.1007/978-3-030-20992-6_21.

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Nolis, Jacqueline. 2022. Leading Data Science Teams. O’Reilly. https://saturncloud.io/resources/Leading%20Data%20Science%20Teams.pdf.

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———. 2022. „What Works to Promote Research-Policy Engagement?" Evidence & Policy -1 (únor): 1–23. https://doi.org/10.1332/174426421X16420918447616.

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Perkel, Jeffrey M. 2022. „Six Tips for Better Spreadsheets". Nature 608 (7921, 7921): 229–30. https://doi.org/10.1038/d41586-022-02076-1.

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Rogger, Daniel, a Christian Schuster, ed. 2023. The Government Analytics Handbook: Leveraging Data to Strengthen Public Administration. https://doi.org/10.1596/978-1-4648-1957-5.

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