Gettier Across Cultures1

In this article, we present evidence that in four different cultural groups that speak quite different languages (Brazil, India, Japan, and the USA) there are cases of justified true beliefs that are not judged to be cases of knowledge. We hypothesize that this intuitive judgment, which we call “the Gettier intuition,” may be a reflection of an underlying innate and universal core folk epistemology, and we highlight the philosophical significance of its universality.     

Parenting and Adolescent Adjustment in Mexico: Initial Evidence of Validity for the Mexican Parenting Questionnaire for Adolescents (MPQ-A)

The present study examined the validity of a self-report parenting instrument for use with Mexican adolescents. The 13-item measure was adapted from the Mexican Parenting Questionnaire. The sample included 1123 adolescents (M age?=?15.07, SD?=?1.52) from Puebla, Mexico. Adolescents self-reported on six subscales of parenting (i.e., affection, verbal guidance, monitoring, communication, physical punishment and verbal punishment), as well as on measures of school grades, life satisfaction, familism, depressive and anxiety symptoms. Using confirmatory factor analyses, the original constructs were found to be a good fit with the data. Most subscales consisted of moderate levels of internal consistency and predicted several measures of adolescent adjustment in expected directions. Girls were more likely to report higher levels of monitoring, affection, and communication than boys. Adolescents who were younger and who reported lower school grades were more likely to report greater levels of physical punishment. Familism was positively associated with five of the six parenting dimensions (i.e., affection, verbal guidance, monitoring, physical punishment, and communication). Findings advance understanding on families and adolescent well-being in Mexico and may inform culturally competent services for clinicians who work with Mexican families.     

Prediction of university students' academic achievement by linear and logistic models

University students' academic achievement measured by means of academic progress is modeled through linear and logistic regression, employing prior achievement and demographic factors as predictors. The main aim of the present paper is to compare results yielded by both statistical procedures, in order to identify the most suitable approach in terms of goodness of fit and predictive power. Grades awarded in basic scientific courses and demographic variables were entered into the models at the first step. Two hypotheses are proposed: (a) Grades in basic courses as well as demographic factors are directly related to academic progress, and (b) Logistic regression is more appropriate than linear regression due to its higher predictive power. Results partially confirm the first prediction, as grades are positively related to progress. However, not all demographic factors considered proved to be good predictors. With regard to the second hypothesis, logistic regression was shown to be a better approach than linear regression, yielding more stable estimates with regard to the presence of ill-fitting patterns.     

The Spacing Effect: Enhancing Memory for Repeated Marketing Stimuli

We explore the extent to which repeating a brand‐attribute association will have a greater effect on recall when the 2 repetitions occur at different points in time rather than immediately after each other. Cued recall is generally better when the repeated items are separated. However, this depends on the extent to which information is organized by brand as well as by attribute, the number of attribute items presented about the brand, and the relatedness of the attributes.     

Emotion and rationality: The characterisation and evaluation of opposition to renewable energy projects

Opposition to wind farm developments has been seen as a significant threat to climate change mitigation policies in the UK. This paper considers the complex of different factors that may lie behind such oppositional activism and the role of emotion within these. Drawing on a programme of interviews it then explores in detail the ways in which industry and policy actors construct the role of emotion in wind farm opposition and in decisions on planning permission, often as an unwelcome intrusion into a supposedly rational process. The consequences of such understandings of opposition for the shaping of public engagement practices and for the nature and quality of public debate are examined.     

Relationship of drug use to involvement in school, home, and community activities: results of a large survey of adolescents.

All 7th, 9th, and 11th grade students in 129 school districts responded to a 466-variable survey that primarily assessed drug use but also contained questions about involvement in various activities. Meaningful relationships were obtained between students' involvement in school, family, and church activities and reported use of tobacco, alcohol, and marijuana. Factors reflecting the extent of parental supervision were also related to the reported use of those substances.     

Characterizing the manifest probabilities of latent trait models

The problem of characterizing the manifest probabilities of a latent trait model is considered. The item characteristic curve is transformed to the item passing-odds curve and a corresponding transformation is made on the distribution of ability. This results in a useful expression for the manifest probabilities of any latent trait model. The result is then applied to give a characterization of the Rasch model as a log-linear model for a 2 ^J -contingency table. Partial results are also obtained for other models. The question of the identifiability of “guessing” parameters is also discussed. The research reported here is collaborative in every respect and the order of authorship is alphabetical. Dr. Cressie was a Visiting Research Scientist at ETS during the Fall of 1980. His current address is: School of Mathematical Sciences, The Flinders University of South Australia, Bedford Park SA, 5042, AUSTRALIA. The preparation of this paper was supported, in part, by the Program Statistics Research Project in the Research Statistics Group at ETS.