The Italian version of the Thinking About Life Experiences Questionnaire and its relationship with gender,age, and life events on Facebook

The present study provided a cross-cultural validation of the Thinking About Life Experiences Scale-revised (TALE-R) in an Italian sample of Facebook users (n = 492; female = 378; male = 114; mean age 26.1) to test for replication and universality of the TALE-R three-factor model. Furthermore, it explored the interrelations among gender, age, the scores at the TALE-R and the frequency of posting textual/visual information about individuals' life events on Facebook. Results at exploratory and confirmatory factor analysis gave empirical support to both of a tripartite model for the functions of autobiographical memory (i.e., directive-behavior, social-bonding, and self-continuity) and measurement invariance of this three-factor model across gender and age. Further results at linear correlation and regression analyses showed that directive-behavior and self-continuity functions of autobiographical memory are significantly related to the ways people use Facebook for personal documentation. Age differences more than gender influence this association. Discussion and conclusion reported both theoretical and empirical implications of the findings of the study.     

TESTING FOR FAIRNESS WITH A MODERATED MULTIPLE REGRESSION STRATEGY: AN ALTERNATIVE TO DIFFERENTIAL ANALYSIS1

It is argued that analyses of subgroup differences utilizing a bivariate correlation strategy do not provide an adequate examination of test fairness. An analysis of differential prediction, which involves slopes and intercepts of regression lines results in more complete coverage of the test fairness issue, since the overall regression line determines the way in which a test is used for prediction. While subgroup correlation coefficients yield information concerning the slopes and intercepts, means and standard deviations must also be examined. A moderated multiple regression strategy is recommended as an alternative to separate analyses by subgroups. An ordered step-up regression procedure is presented which is more encompassing than the bivariate strategies, while avoiding inherent problems associated with subgroup coding in multiple regression.     

Masculinity,Femininity, and Multiple Regression: A Reply to Holmbeck

We respond to Holmbeck's (this issue) criticism of our work. Holmbeck is correct to observe that we mislabel the hierarchical regression analyses that we actually performed in Zeldow et al. (1985, 1987) as stepwise regressions. We also reported some correlation coefficients in Zeldow et al. (1985) which were incorrect. However, further speculation by Holmbeck that alternate analyses would "dramatically" alter our results and that we are guilty of various interpretive errors are shown to be wrong. Most of Holmbeck's conclusions about the potential misuses of multiple regression analyses in androgyny research are supported. However, the substantive conclusions of our earlier articles remain unchanged.     

Tracking the mind during reading via eye movements: comments on Kliegl, Nuthmann, and Engbert (2006)

R. Kliegl, A. Nuthmann, and R. Engbert reported an impressive set of data analyses dealing with the influence of the prior, present, and next word on the duration of the current eye fixation during reading. They argued that outcomes of their regression analyses indicate that lexical processing is distributed across a number of words during reading. The authors of this comment question their conclusions and address 4 different issues: (a) whether there is evidence for distributed lexical processing, (b) whether so-called parafoveal-on-foveal effects are widespread, (c) the role of correlational analyses in reading research, and (d) problems in their analyses because they use only cases in which words are fixated exactly once.     

A simulated annealing methodology for clusterwise linear regression

In many regression applications, users are often faced with difficulties due to nonlinear relationships, heterogeneous subjects, or time series which are best represented by splines. In such applications, two or more regression functions are often necessary to best summarize the underlying structure of the data. Unfortunately, in most cases, it is not known a priori which subset of observations should be approximated with which specific regression function. This paper presents a methodology which simultaneously clusters observations into a preset number of groups and estimates the corresponding regression functions' coefficients, all to optimize a common objective function. We describe the problem and discuss related procedures. A new simulated annealing-based methodology is described as well as program options to accommodate overlapping or nonoverlapping clustering, replications per subject, univariate or multivariate dependent variables, and constraints imposed on cluster membership. Extensive Monte Carlo analyses are reported which investigate the overall performance of the methodology. A consumer psychology application is provided concerning a conjoint analysis investigation of consumer satisfaction determinants. Finally, other applications and extensions of the methodology are discussed.     

A general solution for a class of weakly constrained linear regression problems

This paper contains a globally optimal solution for a class of functions composed of a linear regression function and a penalty function for the sum of squared regression weights. Global optimality is obtained from inequalities rather than from partial derivatives of a Lagrangian function. Applications arise in multidimensional scaling of symmetric or rectangular matrices of squared distances, in Procrustes analysis, and in ridge regression analysis. The similarity of existing solutions for these applications is explained by considering them as special cases of the general class of functions addressed.The author is obliged to Henk Kiers and Willem Heiser for helpful comments.     

The Relationship among Metacognitions,Attentional Control,and State Anxiety

Abstract

The present study explored the relationship among metacognitions, attentional control, and state anxiety. A convenience sample of 142 undergraduate students completed the Meta-Cognitions Questionnaire-30, the Attentional Control Scale, and the State subscale of the State–Trait Anxiety Inventory 3 weeks before end-of-year examinations. A cross-sectional design was adopted, and data analysis consisted of correlation and hierarchical regression analyses. Correlation analyses showed that three dimensions of metacognition (negative beliefs about thoughts concerning uncontrollability and danger, cognitive confidence, and beliefs about the need to control thoughts) were positively correlated with state anxiety. These same metacognitions were also found to be negatively correlated with attention shifting and, with the exception of cognitive confidence, attention focusing. Both attention focusing and attention shifting were found to be negatively correlated with state anxiety. A hierarchical regression analysis showed that negative beliefs about thoughts concerning uncontrollability and danger and attention focusing independently predicted state anxiety. Overall, these findings support the hypotheses and are consistent with the metacognitive theory of psychological dysfunction in that they show that metacognitions (in the form of negative beliefs about thoughts concerning uncontrollability and danger) and executive control (in the form of attention-focusing) individually contribute to state anxiety. The implications of these findings are discussed.     

Organisational Factors, Social Factors, and Women's Advancement

This study examines if organisation size and the degree to which the organisational hierarchy is male moderate the relationships between social factors (career and psychosocial functions of mentor support, and internal and external networks) and women's advancement in management. In all, 848 women in the Australian banking sector were surveyed. Results from moderator regression analyses found that, although male hierarchy does not moderate these relationships, the size of the organisation does. Specifically, career functions of mentor support and internal networks explain women's advancement more in small than in large banks. Recommendations for facilitating women's advancement in management are discussed.     

The statistical regression phenomenon: I. A metamodel

A metamodel for the traditional regression concept—consisting of two general parts—is proposed. The first part contains the basic and general definition of the concept, together with the central assumptions. The phenomenon is essentially defined as a conditional trend, predicted within a linear and bivariate regression system for a specified population, and as a function of the imperfectness of the correlation and of the extremeness of the selected score. The second part of the metamodel consists of special cases of the regression phenomenon, which are defined with respect to various psychometrical/distributional aspects, to various "sources" which reduce the correlation coefficient, and to observed and true scores. Also, the general features of the metamodel are elaborated, and correct and incorrect interpretations are pointed out.     

Evidence for a three-factor theory of emotions

Two studies provided evidence that three independent and bipolar dimensions, pleasure-displeasure, degree of arousal, and dominance-submissiveness, are both necessary and sufficient to adequately define emotional states. In one study with 200 subjects, 42 verbal-report emotion scales were explored in regression analyses as functions of the three dimensions plus a measure of acquiescence bias. Multiple correlation coefficients showed that almost all of the reliable variance in the 42 scales had been accounted for. The specific definitions provided by these equations were replicated in a second study that employed 300 subjects' ratings of 151 emotion-denoting terms on semantic differential-type scales.     

Contributing Factors That Influence the Elderly in Their Attitudes Toward Euthanasia

ABSTRACT

By using a cross-sectional survey, this research study examines the ethical dilemma of euthanasia among a sample of 329 community-based elderly persons, diverse in culture and religious affiliation, from two types of environments: 216 from 15 different community sites and 113 who are home-bound. The study defines euthanasia and, utilizing analyses of data from empirical studies and population polls, explains the factors that influence attitudes toward euthanasia among the elderly: life satisfaction, health, education, religiosity, and living arrangements. These contributing factors are statistically measured at the p ≤ .05 level of significance by a variety of tests: ANOVA, correlation, and regression analysis.

Findings in the covariate analysis show the major contributing factors to be life satisfaction and religiosity, which have a strong impact upon attitudes toward euthanasia among the elderly, whereas the correlation and regression analyses indicate religiosity alone as the major contributing factor. The results of the multiple regression analysis show that 11 percent of the variance is explained among all the variables and 6 percent of this variance is explained by the variable total religiosity, which has the most effect on attitudes toward euthanasia. The implications of these findings provide insight into intervention in social services for the elderly within congregational and community settings that will enhance the quality of life for the elderly as they continue to “age in place.”     

Temperature,City Size,and the Southern Subculture of Violence: Support for Social Escape/Avoidance (SEA) Theory1

A review of timc-period research on temperature and aggression led the authors to hypothesize that southern subculture and sociodemographic variables are responsible for geographical differences in I1.S. homicide rates. It was also hypothesized that temperature's correlation with nonhomicidal violencc would be stronger in small than large cities. These hypotheses were tested by obtaining cross-sectional data on I0 temperature indexes, 11 sociodemographic controls, percentage southern horn, and crime rates in more than 300 U.S. cities in 1990. Partial correlation analyses indicated that percentage southern born and sociodernographic variables rather than temperature predicted homicide rates. Moderator variable regression analyses indicated that relationships between temperature and nonhomicidal violence were stronger in small than large cities. The results are interpreted in terms of a social escapeiavoidance model of criminal behavior, which predicts that low as well as high temperatures lead co-offenders to avoid social contact.     

Addressing the Relationships Among Moral Judgment Development,Authenticity, Nonprejudice,and Volunteerism

This study addresses how moral judgment development, authenticity, and nonprejudice account for variance in scores pertaining to various motivational functions underlying volunteerism in order to clarify certain problems associated with previous research that has considered such relationships. In the study, 127 participants completed measurements that pertain to these constructs. Correlations revealed that moral judgment had a negligible relationship with both authenticity and nonprejudice, thereby affirming that the former construct is distinct from the latter two. Linear regression analyses supported that moral judgment development and nonprejudice provided the strongest contributions to the variance of the considered indices of volunteer motivation. The motivational function underlying volunteerism was also recognized as an important factor that pertains to the observed contributions of variance. Findings are discussed in concert with and compared to prior considerations of relationships between moral judgment development and considerations of the moral self. Implications where moral education is concerned are also considered.     

Deliberate Self-Poisoning,Unemployment, and Public Health

The purpose of the present investigation was to explore further the known relationship between deliberate self-poisoning and social deprivation. Each individual who attended one of Cork city's three casualty departments following an act of deliberate self-poisoning in 1988 was examined. The place of residence (ward) of each city resident patient was established. The social status of the city's 34 wards was estimated using a number of indices obtained from the 1981 and 1986 census reports and social service records. A comparison was made between the 1988 self-poisoning rate for each ward and the rate found in a 1982 study of the city. Correlations between self-poisoning rate and seven social deprivation indices were found to be significant. Multiple regression, factor, and partial correlation analyses were carried out to examine more closely the interrelationships between the social deprivation indices. With respect to explaining the variation in the self-poisoning rate, unemployment alone performed almost as well as all of the indices together and as well as the factors derived using factor analysis. The correlation between unemployment and self-poisoning rate remained highly significant when the other related variables were controlled for. However, at fixed levels of unemployment, these variables were found to be independent of the self-poisoning rate. It is suggested that whereas clinical intervention may benefit the individual, deliberate self-poisoning as an issue requires a public health approach for its resolution.     

A Longitudinal Perspective on Differentiation of Self,Interpersonal and Psychological Well-Being in Young Adulthood

The over-time relationship between differentiation of self and interpersonal and psychological well-being was examined in a sample of young adults in order to test the hypothesis that greater differentiation of self—that is, lower emotional reactivity, better capacity to take an “I” position in relationships, less emotional cutoff, and lower fusion with others—predicted greater interpersonal and psychological health. Results of hierarchical regression analyses confirmed that greater Time 1 differentiation of self predicted lower Time 2 psychological and interpersonal distress after controlling for Time 1 distress levels. Further, canonical correlation analyses revealed several significant patterned associations between aspects of differentiation of self and specific interpersonal problems. Implications for family interventions are discussed.     

Motivational climate, achievement goals, perceived sport competence, and involvement in physical activity: structural and mediator models

Students (N=231) were tested on involvement in physical activity, motivational climate, perceived sport competence, and goal orientations. Multiple regression, partial correlation, and LISREL analyses indicated that mastery goal adoption is positively correlated with a mastery climate. Performance-approach goal adoption is positively correlated with a performance climate. Mastery climate, mastery goal, and perceived sport competence are all positively correlated with involvement in physical activity. LISREL analyses supported three mediational hypotheses: (I) the positive correlation between the performance-approach goal and involvement in physical activity is mediated by (high) perceived sport competence, (II) the negative correlation between the performance-avoidance goal and involvement in physical activity is mediated by (low) perceived sport competence, (III) the positive correlation between mastery climate and involvement in physical activity is mediated by (high) mastery goal orientation. An alternative structural model with perceived competence as the last latent construct in the path was also tested.     

Fungible Correlation Matrices: A Method for Generating Nonsingular,Singular, and Improper Correlation Matrices for Monte Carlo Research

For a fixed set of standardized regression coefficients and a fixed coefficient of determination (R-squared), an infinite number of predictor correlation matrices will satisfy the implied quadratic form. I call such matrices fungible correlation matrices. In this article, I describe an algorithm for generating positive definite (PD), positive semidefinite (PSD), or indefinite (ID) fungible correlation matrices that have a random or fixed smallest eigenvalue. The underlying equations of this algorithm are reviewed from both algebraic and geometric perspectives. Two simulation studies illustrate that fungible correlation matrices can be profitably used in Monte Carlo research. The first study uses PD fungible correlation matrices to compare penalized regression algorithms. The second study uses ID fungible correlation matrices to compare matrix-smoothing algorithms. R code for generating fungible correlation matrices is presented in the supplemental materials.     

Beliefs and environmental behavior: The moderating effect of emotional intelligence

Recent decades have seen a proliferation of studies aiming to explain how pro‐environmental behavior is shaped by attitudes, values and beliefs. In this study, we have included an aspect in our analysis that has been rarely touched upon until now, that is, the intelligent use of emotions as a possible component of pro‐environmental behavior. We applied the Trait Meta Mood Scale‐24 (TMMS‐24) and the New Environmental Paradigm scale to a sample of 184 male and female undergraduate students. We also carried out correlation and hierarchical regression analyses of blocks. The results show the interaction effects of the system of environmental beliefs and the dimensions of emotional intelligence on glass recycling attitudes, intentions and behavior. The results are discussed from the perspective of research on how the management of emotions guides thought and behavior.     

反应风格的测量与统计控制

反应风格是共同方法偏差的主要来源之一。本文首先讨论反应风格的定义和类型,梳理其危害,认为反应风格能使测验分数出现偏差,影响测验信效度分析和变量关系分析,有必要控制其危害。然后介绍了常用的反应风格测量方法,包括计数法和模型法两大类,对测量方法的选择给出了建议,在此基础上,就如何结合反应风格的测量方法与残差回归法、偏相关法来控制反应风格危害给出建议。