The development and validation of The Inquiry Science Observation Coding Sheet

Evaluation reports increasingly document the degree of program implementation, particularly the extent to which programs adhere to prescribed steps and procedures. Many reports are cursory, however, and few, if any, fully portray the long and winding path taken when developing evaluation instruments, particularly observation instruments. In this article, we describe the development of an observational method for evaluating the degree to which K-12 inquiry science programs are implemented, including the many steps and decisions that occurred during the development, and present evidence for the reliability and validity of the data that we collected with the instrument. The article introduces a method for measuring the adherence of inquiry science implementation and gives evaluators a full picture of what they might expect when developing observation instruments for assessing the degree of program implementation.     

SOGS and CGPI: Parallel Comparison on a Diverse Population

The Northern Territory of Australia, one of the most demographically and socially diverse jurisdictions in the country, conducted its first population-based gambling and problem gambling prevalence survey in 2005. Both the South Oaks Gambling Screen (SOGS) and the Canadian Problem Gambling Index (CPGI) were administered to the same sample of respondents. Using data from this survey, the current paper presents a parallel comparison of the respective screens with particular reference to gender, region, and the socio-demographic characteristics of respondents. The respective screens produced significantly different groups of problem gamblers as measured by their association with a range of socio-demographic variables. Specifically, the large number of SOGS items related to money issues may cause selective overrepresentation among low socioeconomic groups, including Indigenous people, who exist in relatively high proportions in the Northern Territory. In addition, there existed substantial gender-based differences within screens. Identified female problem gamblers were associated with household level variables (i.e. employment status, household type and marital status), while males were associated with socio-economic variables including language, education, and income. Further research is required to validate the use of problem gambling screens within the Indigenous population and to understand the role of gender in the experience and categorisation of problem gambling.     

Recursive and en-bloc approaches to signal extraction

In the literature on unobservable component models , three main statistical instruments have been used for signal extraction: fixed interval smoothing (FIS), which derives from Kalman's seminal work on optimal state-space filter theory in the time domain; Wiener-Kolmogorov-Whittle optimal signal extraction (OSE) theory, which is normally set in the frequency domain and dominates the field of classical statistics; and regularization , which was developed mainly by numerical analysts but is referred to as 'smoothing' in the statistical literature (such as smoothing splines, kernel smoothers and local regression). Although some minor recognition of the interrelationship between these methods can be discerned from the literature, no clear discussion of their equivalence has appeared. This paper exposes clearly the interrelationships between the three methods; highlights important properties of the smoothing filters used in signal extraction; and stresses the advantages of the FIS algorithms as a practical solution to signal extraction and smoothing problems. It also emphasizes the importance of the classical OSE theory as an analytical tool for obtaining a better understanding of the problem of signal extraction.     

Multiple Choice Knapsack Problem: Example of planning choice in transportation

Transportation programming, a process of selecting projects for funding given budget and other constraints, is becoming more complex as a result of new federal laws, local planning regulations, and increased public involvement. This article describes the use of an integer programming tool, Multiple Choice Knapsack Problem (MCKP), to provide optimal solutions to transportation programming problems in cases where alternative versions of projects are under consideration. In this paper, optimization methods for use in the transportation programming process are compared and then the process of building and solving the optimization problems is discussed. The concepts about the use of MCKP are presented and a real-world transportation programming example at various budget levels is provided. This article illustrates how the use of MCKP addresses the modern complexities and provides timely solutions in transportation programming practice. While the article uses transportation programming as a case study, MCKP can be useful in other fields where a similar decision among a subset of the alternatives is required.     

Sexual transformations and intimate behaviors in romantic relationships

To understand the association between sexual transformations (i.e., changes in sexual behavior for the partner), intimate behaviors, and relationship quality among couples in romantic relationships, this study used Actor Partner Interdependence Models to examine frequency of sexual transformations, feelings about sexual transformations, and intimate behaviors as predictors of relationship satisfaction among 96 couples (N?=?192). Sexual transformations were also examined as a moderator of the association between intimate behavior and relationship satisfaction. Results indicated that relationship satisfaction was positively associated with partners' frequent sexual transformations, actors' positive feelings about sexual transformations, and intimate behavior from the partner. Further, in less intimate relationships, relationship satisfaction was greater when partners reported making more sexual transformations.     

When hard times take a toll: the distressing consequences of economic hardship and life events within the family-work interface

Using two waves of data from a national survey of working Americans (N = 1,122), we examine the associations among economic hardship, negative life events, and psychological distress in the context of the family-work interface. Our findings demonstrate that family-to-work conflict mediates the effects of economic hardship and negative events to significant others on distress (net of baseline distress and hardship). Moreover, economic hardship and negative events to significant others moderate the association between family-to-work conflict and distress. While negative events to others exacerbate the positive effect of family-to-work conflict on distress, we find the opposite for economic hardship: The positive association between hardship and distress is weaker at higher levels of family-to-work conflict. These patterns hold across an array of family, work, and sociodemographic conditions. We discuss how these findings refine and extend ideas of the stress process model, including complex predictions related to processes of stress-buffering, resource substitution, and role multiplication.     

Multidimensional Comparison of Personality Characteristics of the Big Five Model, Impulsiveness, and Affect in Pathological Gambling and Obsessive–Compulsive Disorder

The phenomenological resemblance between pathological gambling (PG) and obsessive-compulsive disorder (OCD) has led to suggestions that PG be categorized as an obsessive-compulsive-spectrum disorder (OCSD). This study aimed to explore whether PG resembles OCD in terms of personality and temperament. Fifteen patients with PG, 18 patients with OCD, and 33 healthy control subjects were included in the study. The study subjects were all male and drug na?ve. We analyzed data obtained from three self-report questionnaires assessing personality, impulsiveness, and affect: the short version of the NEO Personality Inventory-Revised (NEO-PI-R), the Barratt Impulsiveness Scale-11 (BIS-11), and the Positive Affect and Negative Affect Schedule (PANAS). Participants with PG and OCD demonstrated less conscientiousness (F = 7.089, P = .002) and less openness to experience (F = 6.268, P = .003) and less positive affect (F = 15.816, P < .001) than did healthy controls. The two diagnostic groups did not differ from each other with respect total BIS-11 scores, but those with OCD showed more neuroticism than did those with PG and healthy controls ( F = 9.556, P < .001), and those with PG obtained higher scores on the non-planning impulsiveness factor of BIS-11 than did those with OCD or healthy controls ( F = 9,835, P < .001). PG and OCD share similar profiles in terms of personality and temperament. This study provides phenomenological evidence supporting the conceptualization of PG as an OCSD.     

A mixture model with Poisson and zero-truncated Poisson components to analyze road traffic accidents in Turkey

The analysis of traffic accident data is crucial to address numerous concerns, such as understanding contributing factors in an accident''s chain-of-events, identifying hotspots, and informing policy decisions about road safety management. The majority of statistical models employed for analyzing traffic accident data are logically count regression models (commonly Poisson regression) since a count – like the number of accidents – is used as the response. However, features of the observed data frequently do not make the Poisson distribution a tenable assumption. For example, observed data rarely demonstrate an equal mean and variance and often times possess excess zeros. Sometimes, data may have heterogeneous structure consisting of a mixture of populations, rather than a single population. In such data analyses, mixtures-of-Poisson-regression models can be used. In this study, the number of injuries resulting from casualties of traffic accidents registered by the General Directorate of Security (Turkey, 2005–2014) are modeled using a novel mixture distribution with two components: a Poisson and zero-truncated-Poisson distribution. Such a model differs from existing mixture models in literature where the components are either all Poisson distributions or all zero-truncated Poisson distributions. The proposed model is compared with the Poisson regression model via simulation and in the analysis of the traffic data.