Introduction

Author(s):  
Roy Livermore

… it is doubtful whether there will ever again be such a profusion of unexpected discoveries concentrated into so short an interval of time as there has been during the last twenty years.ARTHUR HOLMES, PRINCIPLES OF PHYSICAL GEOLOGY (1965)Scientific revolutions rarely start with a bang. In 1953, a modest article, barely a page in length, appeared in the weekly science journal ...

1989 ◽  
Vol 16 (2) ◽  
pp. 1-41 ◽  
Author(s):  
Barry E. Cushing

Distinct parallels exist between the historical evolution of scientific disciplines, as explained in Thomas Kuhn's The Structure of Scientific Revolutions, and the historical evolution of the accounting discipline. These parallels become apparent when accounting's dominant paradigm is interpreted to be the double-entry bookkeeping model. Following this interpretation, the extensive articulation of the double-entry model over the past four centuries may be seen to closely resemble the “normal science” of Kuhn's theory. Further parallels become apparent when Kuhn's concept of the disciplinary crises that precede scientific revolutions is compared to developments in the accounting discipline over the past 25 years. This portrayal of accounting's evolution suggests an uncertain future for the accounting discipline.


2017 ◽  
Author(s):  
Aaron McGarvey ◽  
◽  
Kelly Monaghan ◽  
Erin McCone ◽  
Daniel P. Childers

2019 ◽  
Author(s):  
Kalyca N. Spinler ◽  
◽  
René A. Shroat-Lewis ◽  
Michael T. DeAngelis

Author(s):  
Eric Schliesser

This chapter articulates Adam Smith’s philosophy of science. The first section emphasizes the significance of Smith’s social conception of science—science takes place, not always comfortably, within a larger society and is itself a social enterprise in which our emotions play a crucial role. Even so, in Smith’s view science ultimately is a reason-giving enterprise, akin to how he understands the role of the impartial spectator. The second and third sections explain Smith’s attitude to theorizing and its relationship, if any, to Humean skepticism. Smith distinguishes between theory acceptance and the possibility of criticism; while he accepts fallibilism, he also embraces scientific revolutions and even instances of psychological incommensurability. His philosophy is not an embrace of Humean skepticism, but a modest realism. Finally, the chapter explores the implications of Smith’s analysis of scientific systems as machines.


Author(s):  
Andrew Gelman ◽  
Deborah Nolan

This chapter covers multiple regression and links statistical inference to general topics such as lurking variables that arose earlier. Many examples can be used to illustrate multiple regression, but we have found it useful to come to class prepared with a specific example, with computer output (since our students learn to run the regressions on the computer). We have found it is a good strategy to simply use a regression analysis from some published source (e.g., a social science journal) and go through the model and its interpretation with the class, asking students how the regression results would have to differ in order for the study’s conclusions to change. The chapter includes examples that revisit the simple linear model of height and income, involve the class in models of exam scores, and fit a nonlinear model (for more advanced classes) for golf putting.


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