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Books on the topic 'Science misconceptions'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Misconceptions in primary science. Maidenhead [u.a.]: Open Univ. Press, 2010.

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2

Karpudewan, Mageswary, Ahmad Nurulazam Md Zain, and A. L. Chandrasegaran, eds. Overcoming Students' Misconceptions in Science. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3437-4.

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3

Romer, David. Misconceptions and political outcomes. Cambridge, MA: National Bureau of Economic Research, 1997.

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4

Brna, P. Confronting science misconceptions: A computer-based methodology. (Edinburgh) ((Hope Park Square, Meadow Lane, Edinburgh, EH8 9NW)): Dept. of Artificial Intelligence, University of Edinburgh, 1987.

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5

Where science went wrong: Tracking four centuries of misconceptions. [Springfield, Va.]: Financial Book Partners, 1997.

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6

Targeting students' science misconceptions: Physical science concepts using the conceptual change model. Riverview, FL: Idea Factory, 1996.

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7

Smith, Wolfgang. Ancient wisdom and modern misconceptions: A critique of contemporary scientism. Tacoma, WA: Sophia Perennis, 2013.

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8

Scientific development and misconceptions through the ages: A reference guide. Westport, Conn: Greenwood Press, 1999.

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9

Natural and artificial intelligence: Misconceptions about brains and neural networks. Amsterdam: North-Holland, 1992.

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10

Plait, Philip C. Bad astronomy: Misconceptions and misuses revealed, from astrology to the moon landing 'hoax'. New York: Wiley, 2002.

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11

Plait, Philip C. Bad astronomy: Misconceptions and misuses revealed, from astrology to the moon landing 'hoax'. New York: Wiley, 2002.

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12

Zimmermann, Linda. Bad science: A brief history of bizarre misconceptions, totally wrong conclusions, and incredibly stupid theories. New York: Eagle Press, 2011.

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13

L, Francia Peter, ed. Conventional wisdom and American elections: Exploding myths, exploring misconceptions. Lanham: Rowman & Littlefield Publishers, 2008.

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14

The pain chronicles: Cures, remedies, spells, prayers, myths, misconceptions, brain scans, and the science of suffering. New York: Farrar, Straus and Giroux, 2010.

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15

Carolyn, Willard, Pompea Stephen M, and GEMS (Project), eds. The real reasons for seasons: Sun-earth connections : unraveling misconceptions about the earth and sun. Berkeley, CA: Lawrence Hall of Science, University of California at Berkeley, 2000.

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16

Burnham, John C. How superstition won and science lost: Popularizing science and health in the United States. New Brunswick: Rutgers University Press, 1987.

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17

Autism's false prophets: Bad science, risky medicine, and the search for a cure. New York: Columbia University Press, 2008.

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18

Fusari, Angelo. Methodological Misconceptions in the Social Sciences. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8675-1.

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19

Bad Medicine. New York: John Wiley & Sons, Ltd., 2003.

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20

Međunarodni naučni skup "Velika Srbija--istine, zablude, zloupotrebe" (2002 Srpska akademija nauka i umetnosti u Beogradu). Great Serbia: Truth, misconceptions, abuses : papers presented at the International Scientific Meeting held in the Serbian Academy of Sciences and Arts Belgrade, October 24-26, 2002. Edited by Krestić Vasilije. Belgrade: The Serbian Academy of Sciences and Arts, 2004.

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21

Misconceptions in Primary Science. McGraw-Hill Education, 2014.

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22

Harrison, Yvonne. Sleep Talking: Science, Needs & Misconceptions. Blandford, 1999.

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23

Stepans, Joseph. Targeting Students' Science Misconceptions: Physical Science Concepts Using the Conceptual Change Model. 2nd ed. National Science Teachers Association, 1996.

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24

Targeting Students' Science Misconceptions: Physical Science Concepts Using the Conceptual Change Model. 3rd ed. Idea Factory, 2003.

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25

Targeting students' science misconceptions: Physical science activities using the conceptual change model. Riverview, FL : Idea Factory, Inc: Idea Factory, 1994.

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26

1966-, Harris Stephen J., and Grigsby Bryon Lee, eds. Misconceptions about the Middle Ages. New York: Routledge, 2008.

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27

Karpudewan, Mageswary, Ahmad Nurulazam Md Zain, and A. L. Chandrasegaran. Overcoming Students' Misconceptions in Science: Strategies and Perspectives from Malaysia. Springer, 2017.

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28

Karpudewan, Mageswary, Ahmad Nurulazam Md Zain, and A. L. Chandrasegaran. Overcoming Students' Misconceptions in Science: Strategies and Perspectives from Malaysia. Springer, 2018.

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29

(Editor), Scott O. Lilienfeld, Steven Jay Lynn (Editor), and Jeffrey M. Lohr (Editor), eds. Science and Pseudoscience in Clinical Psychology. The Guilford Press, 2002.

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30

(Editor), Scott O. Lilienfeld, Steven Jay Lynn (Editor), and Jeffrey M. Lohr (Editor), eds. Science and Pseudoscience in Clinical Psychology. The Guilford Press, 2004.

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31

Science and Pseudoscience in Clinical Psychology, Second Edition. The Guilford Press, 2014.

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32

Autism's False Prophets: Bad Science, Risky Medicine, and the Search for a Cure. Columbia University Press, 2010.

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33

Harrison, Peter, and Jon H. Roberts, eds. Science Without God? Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198834588.001.0001.

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Modern scientific explanations invariably exclude reference to God and the supernatural. Science and naturalism thus go hand in hand. But in the past things were often different. Beginning with the naturalists of ancient Greece, and proceeding through the Middle Ages, the scientific revolution, and into the nineteenth century, the chapters of this volume examine past ideas about ‘nature’ and ‘the supernatural’. Ranging over different scientific disciplines and historical periods, they show how past thinkers often relied upon theological ideas and presuppositions in their systematic investigations of the world. In addition to providing material that contributes to a history of nature and naturalism, this collection challenges a number of widely held misconceptions about the history of scientific naturalism.

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34

Plait, Philip C. Bad Astronomy: Misconceptions and Misuses Revealed, from Astrology to the Moon Landing Hoax. Wiley & Sons, Incorporated, John, 2008.

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35

Francia, Peter L., and Jody Baumgartner. Conventional Wisdom and American Elections: Exploding Myths, Exploring Misconceptions. Rowman & Littlefield Publishers, Inc., 2007.

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36

Kottler, Jeffrey, and Richard S. Balkin. Myths, Misconceptions, and Invalid Assumptions About Counseling and Psychotherapy. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190090692.001.0001.

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In Myths, Misconceptions, and Invalid Assumptions about Counseling the authors examine the science, art, and certainties and uncertainties of psychotherapy. In this book we have selected several dozen issues in our field, many of which are considered generally accepted principles or operating assumptions. We put them under close scrutiny to examine them more carefully. We’ve considered a wide variety of subjects, ranging from those that relate to our espoused beliefs, theoretical models, favored techniques and interventions, to accreditation and licensing requirements. We have also addressed some of the sanctioned statements about the nature and meaning of empirically supported and evidence based treatments. We even question what we can truly “know” for sure and how we can be certain these things are true. When considering the efficacy of psychotherapy, there is overwhelming evidence that the vast majority of clients are significantly improved as a result of our treatments. Advances in the models, methods, and strategies during the last few decades have allowed us to work more swiftly and efficiently, to reach a much more economically and culturally diverse population. But do we really know and understand as much as we pretend to? Is the foundation upon which we stand actually as stable and certain as we think, or at least claim to believe? Are the major assumptions and “truths” that we take for granted and accept as foundational principles really supported by solid data? And how might these assumptions, beliefs, and constructs we hold so sacred perhaps compromise and limit increased creativity and innovation? These are some of the uncomfortable and provocative questions that we wish to raise, and perhaps challenge, so that we might consider alternative conceptions that might further increase our effectiveness and improve our knowledge base grounded with solid evidence.

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37

Bad Medicine: Misconceptions and Misuses Revealed, from Distance Healing to Vitamin O (Wiley Bad Science Series). Wiley, 2002.

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38

A man of misconceptions: The life of an eccentric in an age of change. 2012.

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39

Ioannidis, John P. A. Statistical Biases in Science Communication. Edited by Kathleen Hall Jamieson, Dan M. Kahan, and Dietram A. Scheufele. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190497620.013.11.

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Misuse and misinterpretation of statistics result in statistical biases that affect the quality, clarity, relevance, and implications of communicated scientific information. Statistical tools are often suboptimally used in scientific papers, even in the best journals. The vast majority of published results are statistically significant, and even nonsignificant results are often spun as being important. Inferences based on P-values generate additional misconceptions. It is also common to focus on metrics that are more prone to exaggerated interpretation. Most of these problems are possible to solve or at least improve on. The prevalence of statistical biases has been used in attacks designed to discredit science’s validity. However, the use of rigorous statistical methods and their careful interpretation can be one of the strongest distinguishing features of good science and a powerful tool to sustain science’s integrity.

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40

Wanjek, Christopher. Bad Medicine: Misconceptions and Misuses Revealed, from Distance Healing to Vitamin O. Wiley & Sons, Incorporated, John, 2008.

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41

Anjum, Rani Lill, and Stephen Mumford. Getting Real about the Ideals of Science. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198733669.003.0028.

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Science is experiencing a crisis of reproducibility, where many published experimental results fail to reproduce when repeated. This crisis can, among other interpretations, be taken as indicating some misconceptions about the nature of causation itself. Such assumptions have led us to underplay the significance of interference, preserving instead a commitment to same cause, same effect. A consequence has been a widening gap between the ideal and the real. The danger, if this gap continues to widen, is that science has less and less practical application. The crisis of reproducibility need not be taken as a failure of science in every case since it could also reflect the natural variety that can arise in a world of tendencies.

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42

author, Ginsberg Benjamin, ed. What Washington gets wrong: The unelected officials who actually run the government and their misconceptions about the American people. 2016.

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43

Tangmongkollert, Somsri. Development and use of an instrument to measure student misconceptions of selected science concepts at the elementary school level in Thailand. 1993.

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44

1960-, Lilienfeld Scott O., Ruscio John, and Lynn Steven J, eds. Navigating the mindfield: A guide to separating science from pseudoscience in mental health. Amherst, N.Y: Prometheus Books, 2008.

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45

(Editor), Scott O. Lilienfeld, and John Ruscio (Editor), eds. Navigating the Mindfield: A User's Guide to Distinguishing Science from Pseudoscience in Mental Health. Prometheus Books, 2007.

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46

Hershlag, Avner. Misconception. iUniverse, Incorporated, 2010.

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47

Highhouse, Scott, and Margaret E. Brooks. Straight Talk About Selecting for Upper Management. Edited by David G. Collings, Kamel Mellahi, and Wayne F. Cascio. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198758273.013.24.

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This chapter examines the commonly held misconceptions or myths surrounding assessment and selection of upper-management positions. Specifically, it is suggested that (1) more information about a candidate is not always better; (2) executive assessment should be more science than art; (3) tests do indeed work for upper-management assessment; (4) assessors do not need to reach consensus on candidate qualities; and (5) interviews make little difference. It is suggested that one of the most difficult challenges for people charged with selecting upper management is accepting mistakes as inevitable.

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48

Briggs, Andrew, Hans Halvorson, and Andrew Steane. A conversation about the themes. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198808282.003.0002.

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The chapter presents a conversation between the authors, looking into the themes of the book. The conversation is reported almost verbatim. It is an informal exchange, but one informed by the authors’ experience and reflection over an extended period (some decades). In this extract the first and third themes of the book are discussed: what it means to speak of God, and the observation that uncertainty is an inevitable part of this area of human life, as it is of many other areas. Questions about God’s existence are often best addressed by investigating whether the questioner is labouring under basic misconceptions about the very nature of God. Handling uncertainty is a necessary skill in commerce and business, as well as science and other walks of life.

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49

Halvorson, Hans. Scientific Theories. Edited by Paul Humphreys. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199368815.013.33.

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Since the beginning of the twentieth century, philosophers of science have asked, “what kind of thing is a scientific theory?” The logical positivists answered: a scientific theory is a mathematical theory, plus an empirical interpretation of that theory. They also assumed that a mathematical theory is specified by a set of axioms in a formal language. Later twentieth-century philosophers questioned this account, arguing instead that a scientific theory need not include a mathematical component or that the mathematical component need not be given by a set of axioms in a formal language. In this chapter, the author surveys the various accounts of scientific theories in twentieth-century philosophy, trying to remove some misconceptions and clear the path for future research.

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50

Fusari, Angelo. Methodological Misconceptions in the Social Sciences: Rethinking Social Thought and Social Processes. Springer, 2014.

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