Measuring psychological need states in sport: Theoretical considerations and a new measure

ObjectivesResearch guided by Self-determination Theory (Deci & Ryan, 1985; Ryan & Deci, 2017) has repeatedly demonstrated the importance of focusing on both the bright (satisfaction) and dark (frustration) sides of the three basic psychological needs. Recently, researchers have also argued for the utility of assessing a third need state, that of “unfulfillment”. In this paper, we outline an effort to develop and provide initial validity evidence for scores of a new multidimensional and sport-specific measure, the Psychological Need States in Sport-Scale (PNSS-S), to assess the satisfaction, frustration, and unfulfillment of all three needs.MethodIn Study 1, we developed 46 candidate items, and tested evidence for the factorial structure of the responses to the newly developed items, internal consistency and discriminant validity of the subscale scores. Following refinement, the replication of the favored model was tested using an independent sample of athletes in Study 2. Evidence for the nomological network of the subscales of the new measure was also demonstrated in Study 2.ResultsFactor models incorporating all three need states showed poor fit with the data. However, following post-hoc modifications, a six-factor model assessing the need states of satisfaction and frustration, separately for autonomy, competence, and relatedness, was found to have good fit to the data. After refinement, the 29-item six-factor model was found to demonstrate good fit, good standardized factor loadings, factor correlations in the expected directions, and acceptable estimates of internal consistency in Study 2. Tests of nomological networks showed that the six need states were significantly predicted by contextual autonomy, competence, and relatedness support/thwarts as expected. Autonomy and competence need satisfaction were significantly associated with engagement; and competence and relatedness need satisfaction were significantly associated with positive affect. In addition, autonomy and competence need frustration were significantly associated with exhaustion and all three need frustration states significantly predicted negative affect.ConclusionsA tripartite conceptualization of the need states was not empirically supported. Nevertheless, the PNSS-S makes a unique contribution to the sport literature, as it represents the first sport-specific measure of six distinct, yet, correlated states of the satisfaction and frustration of autonomy, competence, and relatedness needs.     

等效性检验——结构方程模型评价和测量不变性分析的新视角

常用的结构方程模型拟合指数存在一定局限, 如χ ²以传统零假设为目标假设, 无法验证模型, 而RMSEA和CFI等描述性的拟合指数不具备推断统计性质, 等效性检验有效弥补了这些问题。首先说明等效性检验如何评价单个模型的拟合, 并解释其与零假设检验的不同, 然后介绍等效性检验如何分析测量不变性, 接着用实证数据展示了等效性检验在单个模型评价和测量不变性检验中的效果, 并与传统模型评价方法比较。     

At Both Ends of the Gun: Testing the Relationship Between Community Violence Exposure and Youth Violent Behavior

Much psychological inquiry has focused on understanding the contribution that exposure to urban violence makes to violent behavior among youth. However, other ways in which these variables may be related have been largely overlooked. This study compared four alternative social–ecological models of the link between community violence exposure and violent behavior to determine the degree to which (1) community violence exposure contributes to violent behavior, (2) violent behavior contributes to community violence exposure, (3) both are consequences of common antecedents, and (4) both are manifestations of the same higher order construct. Two hundred and seventy-seven adolescent offenders were interviewed about family, neighborhood, cognitive, and peer characteristics, in addition to violent behavior and community violence exposure. Results suggest that a plausible way to understand the association between community violence exposure and youth violent behavior is to consider both as representations of a general involvement in violence.     

Computational Versus Associative Models of Simple Conditioning

In associative models of simple conditioning, conductive connections (associations, Hebbian synapses) are strengthened by the repetitive temporal pairing of stimuli. The associations cause the animal to behave more adaptively, but they do not encode information about objectively specifiable properties of the conditioning experience. In information processing (computational) models, the temporal intervals in that experience are timed and the results recorded in memory for later use in computations that determine the decisions whether and when to respond to the conditioned stimulus. The predictions of these latter models depend on the ratios of remembered and currently experienced temporal intervals; hence, they are time-scale invariant. Two examples of empirical time-scale invariance are described: Neither the delay of reinforcement nor the ratio of reinforced to unreinforced presentations of the conditioned stimulus affects rates of acquisition and extinction. Time-scale invariance has far-reaching implications for models of the processes that underlie conditioning, for example, models of Hebbian synapses.     

Doubly Robust-Type Estimation for Covariate Adjustment in Latent Variable Modeling

Due to the difficulty in achieving a random assignment, a quasi-experimental or observational study design is frequently used in the behavioral and social sciences. If a nonrandom assignment depends on the covariates, multiple group structural equation modeling, that includes the regression function of the dependent variables on the covariates that determine the assignment, can provide reasonable estimates under the condition of correct specification of the regression function. However, it is usually difficult to specify the correct regression function because the dimensions of the dependent variables and covariates are typically large. Therefore, the propensity score adjustment methods have been proposed, since they do not require the specification of the regression function and have been applied to several applied studies. However, these methods produce biased estimates if the assignment mechanism is incorrectly specified. In order to make a more robust inference, it would be more useful to develop an estimation method that integrates the regression approach with the propensity score methodology. In this study we propose a doubly robust-type estimation method for marginal multiple group structural equation modeling. This method provides a consistent estimator if either the regression function or the assignment mechanism is correctly specified. A simulation study indicates that the proposed estimation method is more robust than the existing methods. This research was partially supported by the Ministry of Education, Science, Sports and Culture, Grant-in-Aid for Young Scientists (B), 187-30406.     

结构方程模式的发展与应用

结构方程模式(Structural Equation Modeling, SEM)在教育、心理研究中得到非常广泛的应用,但目前还有一些理论和技术上的问题有待于澄清。尤其在国内,许多研究者对这种统计方法不十分了解,因此导致了对该程序的误用以及对结果的错误解释。为此,文章首先对SEM的设计和估计方面的一些问题加以讨论;其次指出SEM在近期的一些发展以及在某些方面的最新应用;最后文章还对SEM的局限性进行了简要评述。     

Model specification search using a genetic algorithm with factor reordering for a simple structure factor analysis model

Abstract:  Many techniques for automated model specification search based on numerical indices have been proposed, but no single decisive method has yet been determined. In the present article, the performance and features of the model specification search method using a genetic algorithm (GA) were verified. A GA is a robust and simple metaheuristic algorithm with great searching power. While there has already been some research applying metaheuristics to the model fitting task, we focus here on the search for a simple structure factor analysis model and propose a customized algorithm for dealing with certain problems specific to that situation. First, implementation of model specification search using a GA with factor reordering for a simple structure factor analysis is proposed. Then, through a simulation study using generated data with a known true structure and through example analysis using real data, the effectiveness and applicability of the proposed method were demonstrated.     

家庭因素与青少年犯罪的关系研究述评

随着犯罪理论（如社会控制理论、依恋理论、社会学习理论和问题行为理论）的不断发展,家庭因素与青少年犯罪关系的研究重点已由最初的家庭结构变量（如家庭完整性、家庭经济状况）逐渐扩展并聚焦在家庭功能变量（如家庭气氛、亲子依恋和亲子沟通等）和家庭成员行为变量（如教养方式、父母监控等）。近年来该研究领域开始深入探讨青少年认知过程在教养方式与青少年犯罪之间所起的中介作用,以及儿童青少年的人格、社区环境、神经生物学等变量与家庭因素的交互作用。最后本文总结了该领域研究的最新趋势和以往研究的不足     

Happiness,life satisfaction and positive mental health: Investigating reciprocal effects over four years in a Chinese student sample

Positive factors are increasingly recognized in the field of psychology, however, few studies have investigated the longitudinal measurement invariance (LMI) and reciprocal associations of positive core constructs, such as happiness, life satisfaction and positive mental health. This study evaluated the LMI of these constructs over four years in a Chinese Student Sample (n = 4400) using the Subjective Happiness Scale (SHS), the Satisfaction with Life Scale (SWLS) and the Positive Mental Health Scale (PMH-scale). The longitudinal reciprocal associations of the constructs were examined within a random intercept cross-lagged panel model (RI-CLPM). The results show that the SHS, SWLS and PMH-scale are measurement invariant over time and that the constructs are positively inter-related, but show different reciprocal patterns over time.