Theological Education on the Web: A Case Study in Formation for Ministry

Theological education has traditionally required students to come together in real (and often residential) communities and to learn in classroom settings with face–to–face teaching. Until recently, this model alone has been thought to provide the opportunity for the development of personal knowledge and the formation of character necessary for those engaged in professional ministry. This paper outlines a research project on the use of the Web in theological education, using an introductory course in biblical studies, offered for the first time this year in an online environment through the University of Exeter. The course is designed to enable the creation of a virtual community where personal theological formation is fostered. This paper describes the design of the course, analyzing the complex competencies required in terms of goals and outcomes, and identifying issues for further research. It provides some preliminary results, with an eye to making recommendations for future curriculum development.     

Nonparametric Statistics: Useful Tools for Counselors

This article discusses nonparametric statistics as a useful tool for the practicing counselor or researcher by focusing on their limitations and their appropriateness. Nonparametric tests are compared to their parametric counterparts, and the article includes a table listing the power-efficiency rating of selected nonparametric statistics.     

心理与教育统计学之有效学习策略探析

研究目的在于探讨学习初等统计学之有效学习策略.研究对象为修习心理与教育统计学的学生50人.研究工具为统计学期中与期末测验、学习策略量表以及半结构式访谈大纲.学生于期中与期末测验所测得的能力值透过共同题等化,作为统计学的学习表现.学习策略量表改编自过去已发表的研究工具.结果发现,期中认知策略得分与期末学习表现有相关;而期中学习表现则与期末认知策略得分、期末学习表现均有相关.从质性数据获悉,研读原文书、积极投入Moodle预习测验与教科书提供的在线测验、做笔记、和同学相互讨论以及考试前妥善准备,都是有效且可行的认知策略.     

What the Wise Ought Believe: A Voluntarist Interpretation of Hume's General Rules

This paper advances an interpretation of what Hume called ‘the general rules’: natural principles of belief-formation that nevertheless can be augmented via reflection. According to Hume, reflection is, in part, what separates the wise from the vulgar. In this paper, I argue that for Hume being wise must therefore be, to some degree, voluntary. Hume faced a significant problem in attempting to reconcile his epistemic normativity, i.e. his claims about what we ought to believe, with his largely involuntarist theory of the mind. Reflection on the General Rules, and an interpretation of that reflection as voluntary, helps explain not only Hume's theory of belief, but also how he hoped to reconcile epistemic normativity with naturalism about the mental.     

Education and the Interface between Racial Perceptions and Criminal Justice Attitudes

Recent work has implicated negative attitudes toward blacks in support for toughened criminal-justice measures. This suggests that the issue of crime may be implicitly "racialized," despite a lack of overt racial content. The present study examines the hypothesis that education may weaken the relationship between negative racial perceptions and crime-related policy attitudes. In contrast to traditional views about the role of education in the domain of race-related attitudes, the results of analyses using several different general-population samples suggest that the effects of education are somewhat paradoxical: they reduce the intensity of negative racial perceptions, while bolstering the relationship between these perceptions and criminal justice attitudes.     

Statistics is Essential for Professional Ethics

All professional ethics are dependent on the epistemology of the profession. The possibility of following a code of ethics, whether the official one or an alternative code, is dependent on being able to obtain knowledge and understand the world. Professional knowledge has to be based on inferences from limited information. Statistics provides the optimal methods for making such inferences, and thus ethical professional conduct requires individual or collective understanding of some statistical thcory and practice. This is demonstrated using the medical profession as an example. Statistical methods are essential in all areas of medicine, in routine medical practice, in screening for disease and in research. Evidence from medical journals, textbooks and research bodies shows that the statistical basis for ethical conduct is lacking. However, there are attempts to improve the situation.     

Uzilla: A new tool for Web usability testing

Web usability testing and research presents challenges for accurate data collection. An instrumented browser solution, Uzilla, is compared with existing solutions, and its contributions to usability testing practice are noted. Uzilla implements a client—server architecture based on the open source Mozilla browser. Instrumentation of the browser facilitates the evaluation of Web sites and applications inside and outside of the laboratory. An integrated data collection and analysis server application decreases the effort required to understand test results and facilitates iterative testing.     

Faceted Classification for the Web

The article describes the nature of a faceted classification, and its application in document retrieval. The kinds of facet used are illustrated. Procedures are then discussed for identifying facets in a subject field, populating the facets with individual subject terms, arranging these in helpful sequences, using the scheme to classify documents, and searching the resultant classified index, with particular reference to Internet search.     

Evaluation of Multi-parameter Test Statistics for Multiple Imputation

In Ordinary Least Square regression, researchers often are interested in knowing whether a set of parameters is different from zero. With complete data, this could be achieved using the gain in prediction test, hierarchical multiple regression, or an omnibus F test. However, in substantive research scenarios, missing data often exist. In the context of multiple imputation, one of the current state-of-art missing data strategies, there are several different analogous multi-parameter tests of the joint significance of a set of parameters, and these multi-parameter test statistics can be referenced to various distributions to make statistical inferences. However, little is known about the performance of these tests, and virtually no research study has compared the Type 1 error rates and statistical power of these tests in scenarios that are typical of behavioral science data (e.g., small to moderate samples, etc.). This paper uses Monte Carlo simulation techniques to examine the performance of these multi-parameter test statistics for multiple imputation under a variety of realistic conditions. We provide a number of practical recommendations for substantive researchers based on the simulation results, and illustrate the calculation of these test statistics with an empirical example.     

Strategic Numeracy: Self-Serving Reasoning About Health Statistics

This research shows that the same people who appear to have low numerical competence when analyzing personally irrelevant health-related numerical information are able to overcome their reasoning shortcomings and make better judgments when they are shown equivalent information that is personally relevant, and when only a sophisticated kind of reasoning enables them to interpret this information in a favorable way. The fact that people can engage in poorer or more sophisticated numerical reasoning depending on whether that reasoning produces favorable or unfavorable conclusions has implications both for the concept of numeracy as an individual-difference variable and for health communication.