Literature Index

Displaying 2001 - 2010 of 3326
  • Author(s):
    Broers, N. J.
    Year:
    2000
    Abstract:
    Central in this study is the question why subjects who possess the necessary factual or propositional knowledge needed to solve a particular statistical problem often fail to find the solution to that problem. Ten undergraduate psychology students were trained so as to possess all the relevant knowledge needed to solve five multiple choice problems on descriptive regression analysis. They were asked to think aloud while attempting to solve the problems. Analysis of the think-aloud protocols showed that a failure to select the relevant information in the text, together with a failure to retrieve relevant propositional knowledge from memory and the inability to reason coherently combined to produce incorrect responses. Factual knowledge was less likely to be successfully retrieved when it was acquired only recently or when it concerned relationships of a highly abstract nature.
  • Author(s):
    Sara J. Finney & Gregory Schraw
    Year:
    2003
    Abstract:
    We developed measures of current statistics self-efficacy (CSSE) and self-efficacy to learn statistics (SELS) to address whether statistics self-efficacy is related to statistics performance, and whether self-efficacy for statistics increases during an introductory statistics course. Both instruments yielded reliable, one-factor solutions that were related positively to each other and to two measures of statistics performance (i.e., specific statistics problems and overall course performance). The CSSE and SELS also were related positively to math self-efficacy and attitudes towards statistics, but related negatively to anxiety. Changes between two different testing occasions using the CSSE indicated that statistics self-efficacy increased almost two standard deviations over a 12-week instructional period.
  • Author(s):
    Cumming, G.
    Year:
    1984
    Abstract:
    Our statistics course for introductory psychology is a group Keller course in which students are required to work in small groups. This brief paper reports that, despite earlier fears, it was found successful to let students form themselves into groups for the course.
  • Author(s):
    Phillips, G.
    Editors:
    Vere-Jones, D., Carlyle, S., & Dawkins, B. P.
    Year:
    1991
    Abstract:
    This talk described how a year of Descriptive Statistics could fit in a high school's course offerings. Topics include the following: building on a student's successes; games of chance; opinion surveys; US Census 1990; report writing; Galton Board Models; and much more. Classroom handouts were shown and discussed. It is also important to tell students and parents that Descriptive Statistics is necessary and fun.
  • Author(s):
    Pinho, M.
    Editors:
    Rossman, A., & Chance, B.
    Year:
    2006
    Abstract:
    This paper continues earlier studies about the teaching and learning of the arithmetic average and it is part of a broader research in progress at Santiago of Compostela University (Spain). We have analyzed a sample of six teaching manuals (textbooks) used for teaching mathematics at high schools in Salvador, Bahia. The study is based on theoretical ideas by Godino and Batanero (1994; 1998) and Godino and Recio (1997) who propose a semiotics perspective based on the functions of signs by Hjelmslev (1943), later known as "semiotic function".( Eco, 1979).
  • Author(s):
    Masnick, A., Klahr, D., & Morris, B.
    Editors:
    Lovett, M. C., & Shah, P.
    Year:
    2007
  • Author(s):
    Christopher J. Malone
    Year:
    2008
    Abstract:
    The procedural steps involved in completing a statistical investigation are often discussed in an introductory statistics course. For example, students usually gain knowledge about developing an appropriate research question, performing appropriate descriptive and graphical summaries, completing the necessary inferential procedures, and communicating the results of such an analysis. The traditional sequencing of topics in an introductory course places statistical inference near the end. As a result, students have limited opportunities to perform a complete statistical investigation. We propose a new sequencing of topics that may enhance students' ability to perform a complete statistical investigation from beginning to end.
  • Author(s):
    Chance, B. L., & Rossman, A. J.
    Year:
    2001
    Abstract:
    We discuss various perspectives on the sequencing of topics to be studied in an introductory statistics course, debating the merits and drawbacks of different options. We focus on the introduction of data collection issues; the study of descriptive statistics for bivariate data; the presentation order of inference for mean and proportions; and the placement of tests of significance and confidence intervals. Our goals is not to declare final resolution on these issues, but to stimulate instructors' thinking about this important aspect of course design. We conclude by identifying a set of core recommendations emerging from our points of agreement.
  • Author(s):
    Nilupa S. Gunaratna, Craig A. Johnson, and John R. Stevens
    Year:
    2007
    Abstract:
    Statistics in the Community (STATCOM) is a student-run statistical consulting program that has been serving its local community since 2001. Directed and staffed by graduate students from Purdue University's Department of Statistics, it provides professional consulting services to governmental and nonprofit groups free of charge. Students work in teams to help community clients address specific problems and needs. Past clients include school corporations, libraries, community assistance programs, and the city of West Lafayette. Participation in STATCOM allows students to apply statistical concepts and classroom material to solve real problems. It also develops skills in leadership, management, and written and oral communication of results to the general public. Though important for any future career in statistics, these skills are not typically emphasized in graduate courses, research, or the on-campus academic consulting service. The university and academic department also benefit through increased interaction and visibility in the local community. STATCOM can serve as a model for integrating service learning into graduate statistical education at other colleges and universities.
  • Author(s):
    Eric D. Nordmoe
    Year:
    2007
    Abstract:
    Kalamazoo College is a selective, liberal arts college located in Kalamazoo, Michigan with total enrollment of approximately 1200 students. The academic calendar is comprised of three 10-week quarters, each of which is followed by one week for final examinations. Kalamazoo College is distinguished by its four-fold academic program known as the "K-Plan": (1) Rigorous liberal arts coursework, (2) study abroad, (3) career development, and (4) the senior individualized project. With the inception of the K-Plan over 40 years ago, experiential education has long characterized the College student experience, especially with respect to the last three components listed above. Over the past ten years, the on-campus experience of Kalamazoo College students has also become more experiential in nature as a substantial proportion of courses now have significant service-learning components.

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The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education

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