Equivalence tests for comparing correlation and regression coefficients

Equivalence tests are an alternative to traditional difference‐based tests for demonstrating a lack of association between two variables. While there are several recent studies investigating equivalence tests for comparing means, little research has been conducted on equivalence methods for evaluating the equivalence or similarity of two correlation coefficients or two regression coefficients. The current project proposes novel tests for evaluating the equivalence of two regression or correlation coefficients derived from the two one‐sided tests (TOST) method (Schuirmann, 1987, J. Pharmacokinet. Biopharm, 15, 657) and an equivalence test by Anderson and Hauck (1983, Stat. Commun., 12, 2663). A simulation study was used to evaluate the performance of these tests and compare them with the common, yet inappropriate, method of assessing equivalence using non‐rejection of the null hypothesis in difference‐based tests. Results demonstrate that equivalence tests have more accurate probabilities of declaring equivalence than difference‐based tests. However, equivalence tests require large sample sizes to ensure adequate power. We recommend the Anderson–Hauck equivalence test over the TOST method for comparing correlation or regression coefficients.     

A field investigation of red-light-running in Shanghai,China

Red-Light-Running (RLR) is the major cause of severe injury crashes at signalized intersections for both China and the US. As several studies have been conducted to identify the influencing factors of RLR behavior in the US, no similar studies exist in China. To fill this gap, this study was conducted to identify the key factors that affect RLR and compare the contributing factors between US and China. Data were collected through field observations and video recordings; four intersections in Shanghai were selected as the study sites. Both RLR drivers and comparison drivers, who had the opportunity to run the light but did not, were identified. Based on the collected data, preliminary analyses were firstly conducted to identify the features of the RLR and comparison groups. It was determined that: around 57% of RLR crossed the stop line during the 0–0.4 second time interval after red-light onset, and the numbers of red light violators decreased as the time increased; among the RLR vehicles, 38% turned left and 62% went straight; and at the onset of red, about 88% of RLR vehicles were in the middle of a vehicle platoon. Furthermore, in order to compare the RLR group and non-RLR group, two types of logistic regression models were developed. The ordinary logistic regression model was developed to identify the significant variables from the aspects of driver characteristics, driving conditions, and vehicle types. It was concluded that RLR drivers are more likely to be male, have local license plates, and are driving passenger vehicles but without passengers. Large traffic volume also increased the likelihood of RLR. However, the ordinary logistic regression model only considers influencing factors at the vehicle level: different intersection design and signal settings may also have impact on RLR behaviors. Therefore, in order to account for unobserved heterogeneity among different types of intersections, a random effects logistic regression model was adopted. Through the model comparisons, it has been identified that the model goodness-of-fit was substantially improved through considering the heterogeneity effects at intersections. Finally, benefits of this study and the analysis results were discussed.     

青年情绪智力与主观幸福感的关系

以444名青年为研究对象,采用Schutte编制的《情绪智力量表》、艾森克人格问卷和Diener等人编制的《国际大学调查》为研究工具,调查青年各群体的主观幸福感水平,并对情绪智力和主观幸福感的关系进行了研究。结果发现,青年不同群体之间存在显著的主观幸福感差异,本科生群体的主观幸福感水平最高;在控制了人口学变量和人格变量之后,情绪智力能独立预测主观幸福感各维度的变异。     

Integration of Analytic Hierarchy Process with Regression Analysis to Identify Attractive Locations for Market Expansion

Selection of new geographies in which to expand is a key decision for businesses aspiring to go beyond the opportunities in the existing markets. The conventional approaches of market selection can only provide a set of systematic steps for problem solving without considering the relationships between the decision factors. Decision models based on statistical techniques are able to examine the relationship between decision factors but are unable to effectively assist decision makers in identifying the most promising market, particularly in terms of prioritizing across decision factors. Analytic Hierarchy Process (AHP) is a commonly used approach for choosing alternatives by prioritizing across multiple decision factors. The typical AHP modelling requires knowledge of criteria and/or alternatives along with their relative weights, generally elicited from field experts. Quite often, firms encounter situations where decision makers are aware of only the overall objective and a set of earmarked geographies for setting up market locations while being relatively unaware of decision criteria and relative weights. This precludes using AHP to identify promising market locations. This paper conceptualizes a market selection decision model that integrates AHP with statistical modelling techniques to identify the attractive market locations for the purpose of expansion. The model first uses principal component analysis and multiple regression to determine significant decision criteria and their weights. Thereafter, it applies AHP to prioritize the market locations across the decision criteria. This integrative approach is illustrated for identifying the attractive locations in rural markets for a steel firm in India. The major advantage of this approach is that unlike the existing models, it works in situations when firms have not enough knowledge about factors for evaluating alternative market locations. Another key advantage of the proposed model is that of economizing resources for data collection on variables representing decision factors. Copyright © 2012 John Wiley & Sons, Ltd.     

The unwelcome child and his dreams: reconceptualization of dreaming in trauma

Based on the concepts of Sándor Ferenczi on trauma and vincularity, the author examines the operation of the mechanisms of dreaming in the processing of early traumatic situations and their clinical utilization. The difference is established between dreams of “repetition”, which lack dream imagery and contain a great amount of anguish, consisting of bodily sensations which may last on awakening, and the “secondary dream” with imagery, into which the first type can be transformed when the capacity of the psychic apparatus to process the traumatic situation is increased through therapeutic work. This “secondarization” of the repetitive dream has a traumatolytic effect, allowing the patient to reach psychoanalytically the mechanisms and mental states prevailing in the traumatic situation, through the mechanism of dream autorepresentation described by Silberer. In some cases, as illustrated in the clinical material, it is possible to anticipate the event of episodes of somatic disease before they become clinically evident.?The detailed analysis of dreams in patients with these characteristics is presented and discussed.     

Temperature dependence of nucleation rate in a binary solid solution

The influence of regression (partial dissolution) effects on the temperature dependence of nucleation rate in a binary solid solution has been studied theoretically. The results of the analysis are compared with the predictions of the simplest Volmer–Weber theory. Regression effects are shown to have a strong influence on the shape of the curve of nucleation rate versus temperature. The temperature T_M at which the maximum rate of nucleation occurs is found to be lowered, particularly for low interfacial energy (coherent precipitation) and high-mobility species (e.g. interstitial atoms).     

Influences on life aspirations among adolescents in a low-income community in Cape Town,South Africa

The aim of this study was to determine the influences on adolescents’ aspirations from a low-income community in Cape Town. A sequential mixed method exploratory design was used following two distinct phases. The qualitative phase comprised focus group interviews with 118 grade 12 learners attending a school in a low-income community (age range: 16–19 years) and focused on identifying factors influencing life aspirations. The quantitative phase with 191 adolescents (males?=?54.45 %, females?=?45.55 %); age range: 14–18 years) from the same community aimed to ascertain the influences of personal attributes on self-aspirations. Participants completed the Expectations/Aspirations measure, the New General Self-Efficacy Scale, the Rosenberg Self-Esteem Scale and the Multidimensional Scale of Perceived Social Support. Qualitative data were thematically analysed. Quantitative data were analysed using multiple regression. The findings revealed that self-efficacy, self-esteem and social support were the most critical factors influencing adolescents’ aspirations. Self-efficacy was a major determinant of life aspirations among the adolescents. Life skills programmes with youth from disadvantaged communities should seek to incorporate training aimed at developing adolescents’ self-efficacy.     

Figure-Ground Phenomena in the Perception of Physical and Social Stimuli

An instrument, the Grasha-Riechmann Student Learning Style Scales (GRSLSS), was developed to assess six student learning styles. These styles are Independent, Dependent, Avoidant, Participant, Collaborative, and Competitive. A “rational approach” was used to develop the GRSLSS and evaluate its construct validity. The process included professional and student inputs in special procedures for selecting scale items and designing criterion items. The utility of this approach is considered and problems critiqued. The rational approach yielded relatively high temporal reliability coefficients (range across scales r = .76 to r = .83; N = 269) and numerous meaningful correlations between criterion items and scale scores.