Literature Index

Displaying 1001 - 1010 of 3326
  • Author(s):
    Day, R. P., Webb, N. L., Nabate, M., & Romberg, T. A.
    Year:
    1987
    Abstract:
    A quasi-experimental design with two experimental groups and one control group was used to evaluate the use of two books in the Quantitative Literacy Series, Exploring Data and Exploring Probability. Group X teachers were those who had attended a workshop on the use of the materials and were using the materials during the 1986-1987 school year. Group Y teachers were those who were trained by the Group X teachers and were using the materials during the 1986-1987 school year. Teachers of Group Z, the control group, were teaching similar classes from the same schools as teachers of Groups X and Y. A pretest was administered to all three groups in November 1986. A March Test was administered to the two experimental groups. A May Test, posttest, was administered to all three groups. In addition, teachers maintained daily logs of the amount of instructional time allocated to mathematics and the amount of instructional time allocated to the Quantitative Literacy materials. All teachers were requested to complete a questionnaire at the end of the study. A total of sixty teachers from two states, Wisconsin and Connecticut, agreed to participate in the study. A complete set of data was received from 42 teachers--7 in Group X, 25 in Group Y, and 10 in Group Z. The results indicate that using the Quantitative Literacy materials resulted in students learning approaches and techniques for describing data sets and means of computing probabilities. On the May Test, the scores of the Quantitative Literacy classes, Groups X + Y, were significantly higher than those of the control group. There were no significant differences in the student scores between Group X and Group Y. Thus, the form of training that a teacher had received did not affect student test scores. Teachers varied in the amount of time allocated to the materials and how that time was distributed. Some used the materials over an extended period of time and integrated the Quantitative Literacy materials with their regular content. Other teachers taught the materials as a unit over a relatively short period of time, one or two months. Teachers felt the materials were fairly easy to use. However, there did not seem to be significant differences in teacher beliefs that could be attributed to group membership.
  • Author(s):
    Garfield, J. B., & Ahlgren, A.
    Year:
    1987
    Abstract:
    An initial evaluation plan was outlined by a team of QL project directors and evaluation consultants. This plan had seven key components to be investigated by different individuals and teams. One component was a survey to gather descriptive information on participating teachers. the DESCRIPTIVE INFORMATION survey was designed and mailed out by QL staff. Some of the information gathered through the survey is summarized in this report. Another component of the plan was a sample survey, designed to obtain information on both attitude and pedagogy from a large group of teachers. In addition, teachers were to be surveyed about their reactions of the QL training sessions. Students from selected classes of the teachers were also to be surveyed with specially designed instruments. Questions were posed to structure this part of the evaluation and to guide development of appropriate instruments. This report describes how answers to these questions were sought with the teacher and student survey components of the evaluation.
  • Author(s):
    Garfield, J.
    Abstract:
    Many people are familiar with the calculus reform movement that has been sweeping the country for the last five years, heavily supported by the National Science Foundation. Less well-known is a similar movement within the statistics community that recommends major changes in the content and teaching of introductory statistics courses. NSF has funded numerous projects designed to implement aspects of this reform This proposal outlines a three-stage evaluation to determine the impact of statistics reform efforts on the current teaching of college-level statistics courses.
  • Author(s):
    Weir, C. G., McManus, I. C., & Kiely, B.
    Year:
    1991
    Abstract:
    Evaluated the effectiveness of interactive computer demonstrations in teaching about statistical sampling distributions. 39 undergraduates used a Monte Carlo simulation of either standard errors (SEMDEMO) or F-distributions (FDEMO) and were subsequently tested on both concepts. In Study 1, only lower ability students using FDEMO showed improved attainment related to their specific experience. SEMDEMO was then simplified, following student feedback. Study 2, with 65 undergraduates, showed higher specific attainment related to interactive experience with both SEMDEMO and FDEMO, particularly in lower ability students. Reasons for improved performance may include increased practice and deeper processing of concepts. (PsycLIT Database Copyright 1992 American Psychological Assn, all rights reserved)
  • Author(s):
    Stockburger, D. W.
    Year:
    1982
    Abstract:
    This study evaluates the effect of participation in three computer simulation exercises on performance of students enrolled in an introductory statistics class. One-half of the students were required to participate in three computer exercises: means, normal curve, and correlation coefficient estimation. At a later date all students were given a paper-and-pencil test of their ability to quickly estimate statistics. Results demonstrated that the students who participated in the exercises attempted significantly more exercises with greater success than those who did not. Questionnaire results indicated that the students felt that the exercises were useful.
  • Author(s):
    Simon, J. L., & Bruce, P. C.
    Abstract:
    This article discusses the method of resampling and how it can be of benefit to teachers and to the teaching process. Currently, the method has been little taught in conventional texts and classes.
  • Author(s):
    Lecoutre, B., Lecoutre, M.-P., & Poitevineau J.
    Year:
    2003
    Abstract:
    We investigated the way experienced users interpret Null Hypothesis Significance Testing (NHST) outcomes. An<br>empirical study was designed to compare the reactions of two populations of NHST users, psychological researchers<br>and professional applied statisticians, when faced with contradictory situations. The subjects were presented with the<br>results of an experiment designed to test the efficacy of a drug by comparing two groups (treatment/placebo). Four<br>situations were constructed by combining the outcome of the t test (significant vs. nonsignificant) and the observed<br>difference between the two means D (large vs. small). Two of these situations appeared as conflicting (t significant/D<br>small and t nonsignificant/D large). Three fundamental aspects of statistical inference were investigated by means of open<br>questions: drawing inductive conclusions about the magnitude of the true difference from the data in hand, making<br>predictions for future data, and making decisions about stopping the experiment. The subjects were 25 statisticians from<br>pharmaceutical companies in France, subjects well versed in statistics, and 20 psychological researchers from various<br>laboratories in France, all with experience in processing and analyzing experimental data. On the whole, statisticians and<br>psychologists reacted in a similar way and were very impressed by significant results. It must be outlined that professional<br>applied statisticians were not immune to misinterpretations, especially in the case of nonsignificance. However, the interpretations<br>that accustomed users attach to the outcome of NHST can vary from one individual to another, and it is hard to<br>conceive that there could be a consensus in the face of seemingly conflicting situations. In fact, beyond the superficial<br>report of "erroneous" interpretations, it can be seen in the misuses of NHST intuitive judgmental "adjustments" that try to<br>overcome its inherent shortcomings. These findings encourage the many recent attempts to improve the habitual ways of<br>analyzing and reporting experimental data.
  • Author(s):
    Bill Notz
    Year:
    2007
    Abstract:
    Bill Notz, the Editor of the Journal of Statistics Education (JSE), will discuss all aspects of the journal. He will outline the mission and history of the journal, describe the various departments of the journal, explain what you can find at the journal's web site, indicate the types of manuscripts the journal seeks to publish, and mention possible future directions. He will be happy to answer any questions participants may have. These could range for suggestions about how to write articles, review times, resources, or even how one could become involved with the journal.
  • Author(s):
    Tversky, A., &amp; Kahneman, D.
    Editors:
    Kahneman, D., Slovic, P., &amp; Tversky, A.
    Year:
    1982
    Abstract:
    Although procedural variables have a considerable effect, the present chapter is confined to the discussion of evidential variables that control the interpretation and the impact of the base-rate data. Specifically, we focus on the distinction between two types of base rates, which we label causal and incidental.
  • Author(s):
    Hollylynne S. Lee and Gemma F. Mojica
    Year:
    2008
    Abstract:
    A core aspect of statistical thinking involves engaging in and thinking about the process of statistical investigation, which can be experienced through experiments or simulations. This study examines how middle school teachers' use of probability experiments and simulations can support students in the process of statistical investigations.

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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