眼动分析法在学前儿童认知研究中的应用

眼动分析法是心理学研究的一种重要手段,它对于研究儿童的认知活动有着非常重要的意义。文章介绍了眼动记录的原理、眼动指标,并对该方法在研究学前儿童的图画观看、图文阅读、视觉搜索等领域的应用进行了评介。最后,对眼动分析法在学前儿童认知研究中的应用前景进行了展望。     

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.     

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.     

Trusting the Media? TV News as a Source of Knowledge

Abstract

Why do we trust TV news? What reasons might support a recipient’s assessment of the trustworthiness of this kind of information? This paper presents a veritistic analysis of the epistemic practice of news production and communication. The topic is approached by discussing a detailed case study, namely the characteristics of the most popular German news programme, called the ‘Tagesschau’. It will be shown that a veritistic analysis can indeed provide a recipient with relevant reasons to consider when pondering on the trustworthiness of sources of information. Moreover, it will turn out that these reasons are part of what recipients might gather from media literacy.     

Positional Goods and the Social Rank Hypothesis: Income Inequality Affects Online Chatter about High‐ and Low‐Status Brands on Twitter

According to a social rank hypothesis, consumers who live in regions with higher income inequality will show greater interest in, and attention toward, positional goods and high‐status brands that serve a social signaling role. We analyze millions of posts on the microblogging platform Twitter for mentions of high‐ and low‐status brands. We find that luxury brands such as “Louis Vuitton” and “Rolex” are more frequently mentioned in tweets originating from US states, counties, and major metropolitan areas with higher levels of income inequality. In contrast, mentions of everyday brands such as “Walmart” or “Kmart” are more frequent in regions with a more equal distribution of income. Using sentiment analysis, we find higher valence (positivity) and arousal (excitement) for tweets that both mention high‐status brands and originate from regions with high levels of income inequality. These results corroborate the social rank hypothesis, showing that more psychological resources are allocated to positional consumption when the income gap between the rich and the poor is larger.     

“It's ok if it's hidden”: The discursive construction of everyday racism for refugees and asylum seekers in Wales

Wales has a long history of migration; however, the introduction of dispersed asylum seekers in 2001 has led to Wales becoming a more superdiverse nation. Wales has often been positioned as a more “tolerant nation” than England; however, the increasingly superdiverse nature of Wales in a postdevolution era may now be calling this tolerance thesis into question. Models of refugee and asylum seeker integration suggest that the absence of racism plays a key role in integration. This paper reports the findings of research that centres on refugee and asylum seeker integration in Wales. Nineteen interviews were conducted with refugees and asylum seekers who had been living in Wales for between 1 month and 12 years. Each interview was analysed using a discursive psychology approach. In this paper, I show that the interviewees appeared to negotiate a dilemma when talking about experiencing potentially racist incidents within the interviews, constructing them as trivial so as not to appear critical of the protection they have received in Wales. The findings also highlight the more everyday and banal forms of racism that are regularly experienced by refugees and asylum seekers living in Wales.