_Scientific Thinking_ is a practical guide to inductive reasoning—the sort of reasoning that is commonly used in scientific activity, whether such activity is performed by a scientist, a reporter, a political pollster, or any one of us in day-to-day life. The book provides comprehensive coverage of such topics as confirmation, sampling, correlations, causality, hypotheses, and experimental methods. Martin’s writing confounds those who would think that such topics must be dry-as-dust, presenting ideas in a lively and engaging tone and incorporating (...) amusing examples throughout. This book underlines the importance of acquiring good habits of scientific thinking, and helps to instill those habits in the reader. Stimulating questions and exercises are included in each chapter. (shrink)

Forms of understanding -- Understanding as organized beliefs -- On interpretation -- Representations -- Scientific explanation -- Causal explanations -- Other types of explanations -- The pragmatics of explanation -- Not just why-questions -- A rhetorical approach to explanation -- Pluralism and the unity of science.

Scientific research is a highly complex and creative domain of human activity. In addition to its intrinsic value, understanding scientific thinking provides insight into the creative potential of human psychological capacities, as they are imbedded in rich social, material, and cultural environments. I discuss findings from my own investigations using two forms of qualitative research suited to studying scientific thinking as situated in context: cognitive-historical and cognitive-ethnographic.

In philosophy of science, the literature on abduction and the literature on styles of thinking have existed almost totally in parallel. Here, for the first time, we bring them together and explore their mutual relevance. What is the consequence of the existence of several styles of scientific thinking for abduction? Can abduction, as a general creative mode of inference, have distinct characteristic forms within each style? To investigate this, firstly, we present the concept of abduction; secondly we (...) analyze what is understood by styles of thinking; thirdly, we give some comments on abduction and styles of thinking by analyzing examples of scientific discovery or innovation within each style. We develop a case-based comparative investigation of creative aspects of abductive reasoning with examples drawn from different styles of scientific thinking and doing as understood by the Crombie/hacking tradition. We argue that abduction, as a general mode of reasoning, can have a variety of specific expressions enabled and constrained by the styles of scientific thinking. Finally, we draw some conclusions on the relationship between abduction and styles of thinking suggesting that scientific discovery is a dynamical goal-directed activity within the scientific community that benefits from distinct styles of thinking and doing research. (shrink)

“Critical thinking is one of the biggest hiatuses in our education system. Learning to distinguish sense from nonsense is of great importance in the information age that we live in. In a systematic way, this book helps you to gain insight into, and subsequently eliminate, the most important reasoning errors that we all tend to make. It also helps you to debunk weak and fallacious arguments and unreliable information. -/- In addition to understanding what critical and scientific (...) class='Hi'>thinking entails, you will learn more about what makes science reliable. In times of skepticism regarding science, where (sometimes dangerous) pseudoscientific and conspiracy theories run rampant, this is particularly important. -/- Critical thinking is not a matter of intellectual preference or even self-interest (although one certainly benefits from thinking critically). It is first and foremost a matter of moral and social responsibility. Better thinking leads to a better world. With this book I hope to contribute to that important goal and you, dear student or reader, can do the same!” - Michael Vlerick -/- . (shrink)

The move from respecting science to scientism, i.e., the idealization of science and scientific method, is simple: We go from acknowledging the sciences as fruitful human activities to oversimplifying the ways they work, and accepting a fuzzy belief that Science and Scientific Method, will give us a direct pathway to the true making of the world, all included. The idealization of science is partly the reason why we feel we need to impose the so-called scientific terminologies and (...) methodologies to all aspects of our lives, education too. Under this rationale, educational policies today prioritize science, not only in curriculum design, but also as a method for educational practice. One might expect that, under the scientistic rationale, science education would thrive. Contrariwise, I will argue that scientism disallows science education to give an accurate image of the sciences. More importantly, I suggest that scientism prevents one of science education’s most crucial goals: help students think. Many of my arguments will borrow the findings and insights of science education research. In the last part of this paper, I will turn to some of the most influential science education research proposals and comment on their limits. If I am right, and science education today does not satisfy our most important reasons for teaching science, perhaps we should change not just our teaching strategies, but also our scientistic rationale. But that may be a difficult task. (shrink)

and summary in English: Development of scientific thinking in the training of class teachers.

In this paper we argue that the different positions taken by Dyson and Feynman on Feynman diagrams’ representational role depend on different styles of scientific thinking. We begin by criticizing the idea that Feynman Diagrams can be considered to be pictures or depictions of actual physical processes. We then show that the best interpretation of the role they play in quantum field theory and quantum electrodynamics is captured by Hughes' Denotation, Deduction and Interpretation theory of models (DDI), where (...) “models” are to be interpreted as inferential, non-representational devices constructed in given social contexts by the community of physicists. (shrink)

SummaryIn this essay I offer a set of characteristic scientific activities, accompanied by principles to be used as guides in performing these activities, and dispositions that are desirable for the person performing these activities to have. This set is intended to provide a rough and ready elaboration of scientific thinking as a goal for our schools and colleges.Although they are here labeled scientific, they are intended to apply to other activities than doing what is standardly called (...) science. This wider application is part of the justification for offering science in our schools and colleges. We want people to think scientifically about many other aspects of their lives, as well as about science content.There is no suggestion that science content is not important, nor that scientific thinking should be taught apart from science content. In fact I think that a very good way to teach scientific thinking is by infusing such instruction in the instruction of science content. See Swartz for a discussion of infusion, and Ennis, for treatments of the subject‐specificity issue that is generally raised when thinking and content are discussed.This essay contains one brief case study that exemplifies most of the activities, principles, and dispositions suggested as goals for the schools. I realize that the validity and comprehensiveness of these goals has not been here demonstrated. The scientists, science educators, philosophers of science, and critical thinking specialists to whom1 have shown them are in general agreement about them, but the ultimate test will be in whether the goals are widely adopted and successfully serve as guidance in the promotion of scientific thinking.I hope that this elaboration of scientific thinking and its formulation in terms of a suggested set of goals are “dear and precise as is needed in the situation”. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:“What Is Actually Being Measured?”: Causality and Underlying Scientific Thinking Process in the Assessment of DepressionGreta Kaluzeviciute-Moreton, PhD (bio)Depression is a complex mental health phenomenon due to its multifaceted nature. For one, depression is thought to have a significant genetic component, with studies suggesting that heritability is a significant factor in the development of the disorder (Sullivan, Neale, Kendler, 2000). In clinical psychology, environmental factors such as (...) childhood trauma, chronic stress, social isolation and negative life events (e.g., the loss of a loved one) have been documented as significant risk factors for the development of depression or as trigger events for depressive episodes (Fu & Parahoo, 2009; Kendler, Kuhn, & Prescott, 2004; Neitzke, 2016). Despite this, causal theories of mental health conditions are often tricky and/or scarcely reflected in both diagnostic and rating scales. For instance, the Diagnostic and Statistical Manual of Mental Disorders classifies mental health disorders primarily based on observable symptoms and behaviors, rather than on the underlying psychological and neurobiological processes that may contribute to these symptoms (Kendler, 2006).Similarly, rating scales for depression are typically designed to assess the severity of symptoms, rather than their underlying causes, that is, most rating scales are used as screening tools to identify individuals who may require further evaluation and treatment. Some rating scales may include items related to causal factors, such as the Beck Depression Inventory-II (BDI-II) includes an item that asks about “loss of interest in sex,” which could be related to either biological or psychological factors. Several rating scales include items assessing risk factors for depression, such as family history of depression or personal history of trauma. This may be indicative of both genetic and environmental risk factors, such as the Patient Health [End Page 255] Questionnaire-9, includes an item that asks about family history of depression. However, while risk and causal factors are related, they are distinct in the assessment of depression. Risk factors refer to factors that increase the likelihood of developing depression, while causal factors refer to factors that directly contribute to the development of the condition. The presence of a risk factor does not necessarily mean that an individual will develop depression (Peterson & Seligman, 1984). However, the two are frequently blurred and equated in psychotherapy research (Westen & Bradley, 2005).As such, the historical issues of rating and diagnostic scales, aptly depicted by the Le Moigne (2023) as full of “composite, if not contradictory, heritage, weaving together the classificatory and discontinuous tradition of psychiatry, on the one hand, and the psychometric and continuous tradition of psychology, on the other” (p. XX ), suffer from an epistemological oversight when it comes to the assessment of causal factors in complex mental health conditions, such as depression. In turn, this contributes to a wider psychometric issue: what is actually being measured? Le Moigne’s detailed overview predominantly focuses on “superficial” symptomatology of depression (which contributed to two distinct forms of evaluation: hetero- and self-evaluation), and its subsequent impact on the classification and taxonomy of depression throughout history. However, the overarching conceptualization of depression (including a more detailed consideration of causal factors and their assessment) and the usefulness of rating scales in applied research (such as psychotherapy) remain in the background.The question of “what is actually being measured” is obviously not new in psychometrics. However, it is important to continuously revisit this issue, given that rating scales (such as the BDI) are considered to be universally applicable “evidence-based” tools (Rogers, Adler, Bungay, & Wilson, 2005) as well as a common and well-accepted form of scientific thinking in psychotherapy research (Kaluzeviciute & Willemsen, 2020). From an epistemological point of view, a scientific thinking style entails not only cognitive operations common to methodology, but also practices of generating, sharing, assimilating and transforming knowledge(Hacking, 2012).Therefore, it is important to acknowledge that any scientific tool, including rating scales, encompasses not just what but also how researchers find out about their studied phenomena (i.e., a scientific thinking style conveys a performative quality) (Kaluzeviciute & Willemsen, 2020). As identified by Le Moigne (2023), taxonomy leads toward a category-based logic in that it considers the examined phenomenon to be shared by only a... (shrink)

This volume of the Thinker’s Guide Library employs critical thinking concepts in the development of productive scientific thought. Readers will learn to reason within the logic of their scientific disciplines and will find their analytical abilities enhanced by the engaging framework of inquiry set forth by Richard Paul and Linda Elder.

From one of Time magazine’s 100 most influential people in the world, a rousing defense of the role of science in our lives The latest developments in physics have the potential to radically revise our understanding of the world: its makeup, its evolution, and the fundamental forces that drive its operation. Knocking on Heaven’s Door is an exhilarating and accessible overview of these developments and an impassioned argument for the significance of science. There could be no better guide than Lisa (...) Randall. The bestselling author of Warped Passages is an expert in both particle physics (the study of the smallest objects we know of) and cosmology (the study of the largest). In Knocking on Heaven’s Door, she explores how we decide which scientific questions to study and how we go about answering them. She examines the role of risk, creativity, uncertainty, beauty, and truth in scientific thinking through provocative conversations with leading figures in other fields (such as the chef David Chang, the forecaster Nate Silver, and the screenwriter Scott Derrickson), and she explains with wit and clarity the latest ideas in physics and cosmology. Randall describes the nature and goals of the largest machine ever built: the Large Hadron Collider, the enormous particle accelerator below the border of France and Switzerland—as well as recent ideas underlying cosmology and current dark matter experiments. The most sweeping and exciting science book in years, Knocking on Heaven’s Door makes clear the biggest scientific questions we face and reveals how answering them could ultimately tell us who we are and where we came from. (shrink)

A novel attempt to explain why teens and adults often struggle with scientific explanation even thought young children clearly possess impressive causal reasoning skills.