Literature Index

Displaying 841 - 850 of 3326
  • Author(s):
    Sharon J. Lane-Getaz
    Year:
    2013
    Abstract:
    The mixed-methods study reports psychometric properties of the 34-item Reasoning about P-values and Statistical Significance (RPASS) scale. RPASS is being designed as research tool to assess effects of teaching methods on students’ inferential reasoning. During development (Phase I), two graphical scenarios and 12 items were added to the scale, field tested, and eventually by three content raters. During Phase II, reliability and validity evidence were gathered in three college statistics courses. Score reliability was sufficient to conduct group research (ɑ=0.76, n= 105). RPASS scores were correlated with college entrance scores and GPAs as evidence of construct-related validity. Further validity evidence was obtained by analyzing consistency between students’ reasoning and answers for eight items. Future development and research are discussed.
  • Author(s):
    Helenius. R.
    Editors:
    Phillips, B.
    Year:
    2002
    Abstract:
    The strategic objective of several statistical agencies is to advance people's statistical literacy and use. The demand and need for statistics is constantly increasing. Statistics and the ability to read them are needed extensively in society as a whole. Statistical literacy can be promoted in various ways, for example, by developing various information distribution channels and by training customers. This paper describes how the use of statistical information is continuously developing at Statistics Finland by means of training and gives an example of Statistics Finland´s web-based-learning project.
  • Author(s):
    Agnoli, F.
    Year:
    1991
    Abstract:
    The foundations of adult reasoning about probabilities are found in children's reasoning about frequencies.
  • Author(s):
    Kreitler, S., & Kreitler, H.
    Year:
    1986
    Abstract:
    The purpose was to investigate the development of probabilistic thinking as outlined by Piaget and Inhelder, to clarify interrelations of different probabilistic tasks, and to examine the effects of IQ and gender on probabilistic thinking from 5 to 12 years. There were 240 subjects, boys and girls, medium in socio-economic status (SES) and IQ, of two cultural backgrounds, and of three age groups: 5 to 6 years, 8 to 9 years, and 11 to 12 years. Each subject was administered individually the Stanford- Binet and four Piagetian tasks assessing randomization, distribution of multiple discrete elements, odds estimation and permutations. The responses were evaluated globally and in terms of specific measures. The results showed an increase in probabilistic performance that was mostly larger between the first two groups than the last two, positive interrelations among the tasks, partly different factorial structures in each age group with increasing factorial differentiation, more interrelations of IQ with global than specific measures and more in older than younger children, and more differences in favor of boys in older than younger groups. Discussion focuses on the degree of support for Piaget's claims and implication concerning the structure and development of probabilistic cognition.
  • Author(s):
    Watson, J. M., & Moritz, J. B.
    Year:
    2001
    Abstract:
    A developmental model involving four response levels is proposed concerning how students arrange pictures to represent data in a pictograph, how they interpret these pictographs, and how they make predictions based on these pictographs. The model is exemplified by responses from three related interview-based studies. In Study 1, examples of each response level are provided from 48 preparatory- to tenth-grade students. Students from higher grades were more likely to respond at higher levels. In Study 2, 22 students were interviewed longitudinally after a three-year interval; many improved in response level over time, although a few responded at lower levels. In Study 3, 20 third-grade students were interviewed and then prompted with conflicting responses of other students on video; many improved their initial responses to higher levels after exposure to the conflicting prompts. Associations among levels of representing, interpreting, and predicting were explored. Educational implications are discussed concerning reasonable expectations of students and suggestions to develop these skills in students at different grades.
  • Author(s):
    Gal, I., & Ben-Zvi, D.
    Editors:
    D. Ben-Zvi
    Year:
    2017
  • Author(s):
    Hoffer, A. R.
    Editors:
    Grey, D. R., Holmes, P., Barnett, V., & Constable, G. M.
    Year:
    1983
    Abstract:
    It is clear to all of those who are attending this conference that statistics should be an important component in the education of all people and that statistics education should begin with young children and be carried on continuously throughout the years of formal education. However, a rather large percentage of teachers, especially at the school level, have not themselves experienced an adequate statistics education and hence lack knowledge about statistical topics per se as well as what types of statistical activities would be appropriate for their students and how to integrate such activities into their course of study. It is necessary to attack this cycle of ignorance from several directions: 1) the initial training of teachers should have an adequate statistical component; 2) there should be a variety of inservice programs for practicing teachers at colleges, within school systems, and for teacher self-study; 3) curriculum developers and directors should more enthusiastically incorporate adequate statistical activities in their programs and courses of study; 4) there should be more active research into questions of statistical didactics; and 5) there should be developed more effective statistical lessons and learning sequences for students.
  • Author(s):
    Huber, B. L., & Huber, O.
    Year:
    1987
    Abstract:
    This study investigates which formal principles govern subjective probability, and whether the validity of these principles depends on age. Two types of tasks were administered to 144 subjects from 3;8 to 19 years: a gambling task (with objective probabilities) and a sporting task (without objective probabilities). Six formal principles of the mathematical concept of qualitative probability (a non-numerical concept based on ordinal scale properties) were tested. Results indicate that these principles are valid as principles of subjective probability for all age groups. Only the youngest age group (4 years or younger) had a smaller degree of confirmation.
  • Author(s):
    Jili, W. & Yong, Z.
    Editors:
    Phillips, B.
    Year:
    2002
    Abstract:
    This paper reviews the development of higher statistics education in China. Though there has been a clear progress in the theory and direction of the development of higher statistics education in China in recent years, statistics educators' are still debating the issue of the future. They will continue their research work. This paper will then make use of related data to analyze the development of the higher statistics education in China in recent years. It concludes that although there are some problems, higher statistics education in China is developing in both theory and practice. The future of the development of higher statistics education in China will be optimistic.
  • Author(s):
    Watson, J. M., & Moritz, J. B.
    Year:
    2000
    Abstract:
    The development of understanding sampling is explored through responses to four items in a longitudinal survey administered to over 3000 students from Grades 3 to 11. Responses are described with reference to a three-tiered framework for statistical literacy, including defining terminology, applying concepts in context, and questioning claims made without proper justification. Within each tier increasing complexity is observed as students respond with single, multiple, and integrated ideas to four different tasks. Implications for mathematics educators of the development of sampling concepts across the years of schooling are discussed.

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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