A fortran implementation of univariate fourier series density estimation

A set of Fortran-77 subroutines is described which compute a nonparametric density estimator expressed as a Fourier series. In addition, a subroutine is given for the estimation of a cumulative distribution. Performance measures are given based on samples from a Weibull distribution. Due to small size and modest space demands, these subroutines are easily implemented on most small computers.     

The Collapsing Choice Theory: Dissociating Choice and Judgment in Decision Making

Decision making theory in general, and mental models in particular, associate judgment and choice. Decision choice follows probability estimates and errors in choice derive mainly from errors in judgment. In the studies reported here we use the Monty Hall dilemma to illustrate that judgment and choice do not always go together, and that such a dissociation can lead to better decision-making. Specifically, we demonstrate that in certain decision problems, exceeding working memory limitations can actually improve decision choice. We show across four experiments that increasing the number of choice alternatives forces people to collapse choices together, resulting in better decision-making. While choice performance improves, probability judgments do not change, thus demonstrating an important dissociation between choice and probability judgments. We propose the Collapsing Choice Theory (CCT) which explains how working memory capacity, probability estimation, choice alternatives, judgment, and regret all interact and effect decision quality.      

Welfare‐to‐Work Services: A Person‐Centered Perspective

Services designed to assist job seekers to leave public assistance and gain employment are well established throughout the U.S. Many of these programs are created and delivered by professionals of higher socioeconomic class backgrounds, but many program participants are of lower social class status. This situation can create “cross‐class” difficulties in the design and delivery of effective job‐search services. The author argues that using a person‐centered perspective, with the deliberate inclusion of genuineness and empathy in all phases of programming, may neutralize cross‐class variables and increase the effectiveness of interventions. Examples from programs emphasizing person‐centered concepts are offered.     

Imputation procedures for categorical data: their effects on the goodness-of-fit chi-square statistic

An imputation procedure is a procedure by which each missing value in a data set is replaced (imputed) by an observed value using a predetermined resampling procedure. The distribution of a statistic computed from a data set consisting of observed and imputed values, called a completed data set, is affecwd by the imputation procedure used. In a Monte Carlo experiment, three imputation procedures are compared with respect to the empirical behavior of the goodness-of- fit chi-square statistic computed from a completed data set. The results show that each imputation procedure affects the distribution of the goodness-of-fit chi-square statistic in 3. different manner. However, when the empirical behavior of the goodness-of-fit chi-square statistic is compared u, its appropriate asymptotic distribution, there are no substantial differences between these imputation procedures.     

Auditing biochemical research data: A case study

There is little documentation in the literature of how to conduct a data audit of laboratory research. The purpose of such an audit is to verify the extent to which the published data agree with the corresponding laboratory notebook data and whether the data thus examined appear to be sufficient to justify the published conclusions. A case study is presented, which demonstrates a step by step approach towards conducting a data audit of a published research study.     

European‐American and African‐American Mothers' Emotion Socialization Practices Relate Differently to Their Children's Academic and Social‐emotional Competence

The current study examines whether the relation between mothers' responses to their children's negative emotions and teachers' reports of children's academic performance and social‐emotional competence are similar or different for European‐American and African‐American families. Two hundred mothers (137 European‐American, 63 African‐American) reported on their responses to their five‐year‐old children's negative emotions and 150 kindergarten teachers reported on these children's current academic standing and skillfulness with peers. Problem‐focused responses to children's negative emotions, which have traditionally been considered a supportive response, were positively associated with children's school competence for European‐American children, but expressive encouragement, another response considered supportive, was negatively associated with children's competence for African‐American children. The findings highlight the need to examine parental socialization practices from a culturally specific lens.     

Interdistributional Income Inequality

Incomplete moments are used to characterize income inequality and provide the basis for interdistributional Lorenz curves. Four measures of interdistributional inequality are considered and seen to be related to an interdistributional welfare interpretation. Based upon these measures, there has been a significant secular decline in interdistributional inequality between blacks and whites over the past 30 years.