The Challenge of Developing Statistical Reasoning
By Joan Garfield. 2002
360 citations recorded by the source corpus.
This paper defines statistical reasoning and reviews research on this topic. Types of correct and incorrect reasoning are summarized, and statistical reasoning about sampling distributions is examined in more detail. A model of statistical reasoning is presented, and suggestions are offered for assessing statistical reasoning. The paper concludes with implications for teaching students in ways that will facilitate the development of their statistical reasoning.
Subfields: Education, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/691be53485cb85008b84395796e51bff4df12f96
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
- R. Hassad
- Dani Ben-Zvi
- Esma Emmioglu
- Yeşim Çapa-aydın
- J. Reid
- C. Reading
- Ruth Beyth-Marom
- Geoff Cumming
In Statistics and Probability
- R. Hassad
- Fiona Fidler
- Dani Ben-Zvi
- Geoff Cumming
- Esma Emmioglu
- Yeşim Çapa-aydın
- Ruth Beyth-Marom
- Joan Garfield
Citations in the corpus
- ATTITUDES AND ACHIEVEMENT IN STATISTICS: A META-ANALYSIS STUDY (2012, background): “The SRA, a multiple-choice test, was developed to assess students’ statistical reasoning for a sample of statistical concepts (Garfield, 2002).”
- AN EMERGING HIERARCHY OF REASONING ABOUT DISTRIBUTION: FROM A VARIATION PERSPECTIVE5 (2006, background): “As reasoning depends heavily on an understanding of underlying concepts ( Garfield, 2002 ), it was not unexpected that the better indications of reasoning about distribution were found in the responses with a higher level of consideration of variation.”
- Development and Validation of a Scale for Measuring Instructors' Attitudes toward Concept-Based or Reform-Oriented Teaching of Introductory Statistics in the Health and Behavioral Sciences (2010, methodology): “13 instructors’ beliefs about, and attitudes toward reform-oriented teaching and learning strategies are pivotal to the adoption and effective application of this approach (Czerniak & Lumpe, 1995, 1996; Czerniak, Lumpe, & Haney, 1999; Garfield, 1995; Garfield, 2002; Henderson, 2002; Lumpe, Haney, & ”
- STATISTICAL COGNITION: TOWARDS EVIDENCE-BASED PRACTICE IN STATISTICS AND STATISTICS EDUCATION (2008, background): “Statistical reasoning, a term already widely used (Garfield, 2002; Garfield & Gal, 1999), concerns the mental processes which shape the process and representations of statistical cognition.”
- Statistical Literacy, Reasoning, and Thinking: Goals, Definitions, and Challenges (2004, background): “For more discussion of these definitions and distinction, see papers by Chance (2002), delMas (2002), Garfield (2002) , Rumsey (2002), and Chapters 2 through 4 in this book.”