Person-oriented profiles of originality and fluency in divergent thinking responses

Researchers often use divergent thinking tasks to assess creative potential and find a positive inter-individual relation between fluency and originality. But are there different within-person patterns of originality and fluency? Study 1: undergraduates completed an alternate uses task and the NEO-FFI. Three profiles emerged: (1) low originality and fluency; (2) above average originality, moderate fluency; and (3) average originality, high fluency. Study 2: high school students completed a divergent thinking task and 10 facets of the IPIP NEO-PI. Four profiles emerged: (1) average originality, moderate fluency; (2) above average originality, high fluency; (3) low originality and fluency; and (4) high originality, low fluency. Profile differences in personality and maximum originality, and implications of these findings are discussed.     

Exploration of Prelicensed Counselors’ Experiences Prioritizing Information for Clinical Supervision

This qualitative study explored prelicensed counselors’ experiences prioritizing information for clinical supervision. Through phenomenological interviews, 7 counselors seeking licensure discussed how they self‐report salient information to their supervisors. Using interpretative phenomenological analysis, the authors identified 3 themes: (a) learned to maximize supervision based on structure of supervision, (b) influences on decision to present, and (c) rationale for presenting client case. Implications for counselors and supervisors are discussed.     

《周易》断辞所蕴含的思想

断辞的差异性存在外露着作《易》者的价值取向。本文主要拈出断辞“悔”,透视其“悔亡”、“无悔”、“有悔(悔)”三种不同形态:以中、正、比、应等为切入点,玩观卦象,通过数理统计对各自的生成进行定量分析,于对比中彰显出《周易》之内蕴:一、正不如中、应(比)之善;二、执中有应为事物发展最根本的条件:三、得位是事物发展不可低估的要素;四、中正之为美。     

Relationship of Inglehart's and Schwartz's value dimensions revisited

This study examines the relationship between Inglehart's and Schwartz's value dimensions—both at the individual and the country levels. By rotating one set of items towards the other, we show that these value dimensions have more in common than previously reported. The ranking of countries (N = 47) based on Schwartz's Embeddedness—Autonomy and the Survival—Self‐Expression dimensions reached a maximum of similarity, r = .82, after rotating Inglehart's factor scores 27 degrees clockwise. The correlation between the other pair of dimensions (Schwartz's Hierarchy‐Mastery—Egalitarianism‐Harmony and Inglehart's Traditional—Secular‐Rational values) was near zero before and after rotation. At the individual level (N = 46,444), positive correlations were found for Schwartz's Conservation—Openness dimension with both of Inglehart's dimensions (Survival—Self‐Expression and Traditional—Secular‐Rational values). The highest correlation with this Schwartz dimension was obtained at the Secular‐Rational/Self‐Expression diagonal, r = .24, after rotating the factor scores 45 degrees clockwise. We conclude that Schwartz's and Inglehart's originally proposed two‐dimensional value structures share one dimension at the country level and some commonality at the individual level, whereas the respective other pair of dimensions seem to be more or less unrelated.     

高中生心理健康水平及其影响因素的研究

采用ＳＣＬ－９０量表评定了５００名高中生的心理健康状况,运用因素分析的方法探讨了影响高中生心理健康的主要因素。结果表明：有１０．８％的高中生存在着各种明显的心理健康问题;高中生的心理健康问题主要表现为强迫、敌对、偏执、人际关系敏感和忧郁等症状;影响高中生心理健康的主要因素为学校教育、家庭环境、社会文化及学生自身等方面的生活事件;高中生不同的心理健康问题有其不同的影响因素。     

Effects of computer‐based training on procedural modifications to standard functional analyses

Few studies have evaluated methods for training decision‐making when functional analysis data are undifferentiated. The current study evaluated computer‐based training to teach 20 graduate students to arrange functional analysis conditions, analyze functional analysis data, and implement procedural modifications. Participants were exposed to training materials using interactive software during a 1‐day session. Following the training, mean scores on the posttest, novel cases probe, and maintenance probe increased for all participants. These results replicate previous findings during a 1‐day session and include a measure of participant acceptability of the training. Recommendations for future research on computer‐based training and functional analysis are discussed.     

Training analysis and training models

This article has the intention of giving impulses to a hopefully more creative and open-minded discussion of the function of training analysis and the kind of training model we seem to take for granted in the Scandinavian countries, the Eitingon model. I will consider some historical background data on this model as well as some historical data on the development in France which have created an alternative model of training. Especially in Sweden, there has been a stormy debate during the last years about the training analyst functions and some members have actually decided to leave our association because of this. I would like to try to shift focus from just a ‘yes-or-no-perspective’? to a broader question of our psychoanalytical society’s purpose and structure and how the training-model could sustain it.     

Testing Process Factor Analysis Models Using the Parametric Bootstrap

Process factor analysis (PFA) is a latent variable model for intensive longitudinal data. It combines P-technique factor analysis and time series analysis. The goodness-of-fit test in PFA is currently unavailable. In the paper, we propose a parametric bootstrap method for assessing model fit in PFA. We illustrate the test with an empirical data set in which 22 participants rated their effects everyday over a period of 90 days. We also explore Type I error and power of the parametric bootstrap test with simulated data.     

Misspecification in Latent Change Score Models: Consequences for Parameter Estimation,Model Evaluation,and Predicting Change

Latent change score models (LCS) are conceptually powerful tools for analyzing longitudinal data (McArdle & Hamagami, 2001). However, applications of these models typically include constraints on key parameters over time. Although practically useful, strict invariance over time in these parameters is unlikely in real data. This study investigates the robustness of LCS when invariance over time is incorrectly imposed on key change-related parameters. Monte Carlo simulation methods were used to explore the impact of misspecification on parameter estimation, predicted trajectories of change, and model fit in the dual change score model, the foundational LCS. When constraints were incorrectly applied, several parameters, most notably the slope (i.e., constant change) factor mean and autoproportion coefficient, were severely and consistently biased, as were regression paths to the slope factor when external predictors of change were included. Standard fit indices indicated that the misspecified models fit well, partly because mean level trajectories over time were accurately captured. Loosening constraint improved the accuracy of parameter estimates, but estimates were more unstable, and models frequently failed to converge. Results suggest that potentially common sources of misspecification in LCS can produce distorted impressions of developmental processes, and that identifying and rectifying the situation is a challenge.     

A comparison of analysis methods to estimate contingency strength

To date, several data analysis methods have been used to estimate contingency strength, yet few studies have compared these methods directly. To compare the relative precision and sensitivity of four analysis methods (i.e., exhaustive event‐based, nonexhaustive event‐based, concurrent interval, concurrent+lag interval), we applied all methods to a simulated data set in which several response‐dependent and response‐independent schedules of reinforcement were programmed. We evaluated the degree to which contingency strength estimates produced from each method (a) corresponded with expected values for response‐dependent schedules and (b) showed sensitivity to parametric manipulations of response‐independent reinforcement. Results indicated both event‐based methods produced contingency strength estimates that aligned with expected values for response‐dependent schedules, but differed in sensitivity to response‐independent reinforcement. The precision of interval‐based methods varied by analysis method (concurrent vs. concurrent+lag) and schedule type (continuous vs. partial), and showed similar sensitivities to response‐independent reinforcement. Recommendations and considerations for measuring contingencies are identified.