Using generalized additive (mixed) models to analyze single case designs

This article shows how to apply generalized additive models and generalized additive mixed models to single-case design data. These models excel at detecting the functional form between two variables (often called trend), that is, whether trend exists, and if it does, what its shape is (e.g., linear and nonlinear). In many respects, however, these models are also an ideal vehicle for analyzing single-case designs because they can consider level, trend, variability, overlap, immediacy of effect, and phase consistency that single-case design researchers examine when interpreting a functional relation. We show how these models can be implemented in a wide variety of ways to test whether treatment is effective, whether cases differ from each other, whether treatment effects vary over cases, and whether trend varies over cases. We illustrate diagnostic statistics and graphs, and we discuss overdispersion of data in detail, with examples of quasibinomial models for overdispersed data, including how to compute dispersion and quasi-AIC fit indices in generalized additive models. We show how generalized additive mixed models can be used to estimate autoregressive models and random effects and discuss the limitations of the mixed models compared to generalized additive models. We provide extensive annotated syntax for doing all these analyses in the free computer program R.     

Rural Neighborhoods and Child Aggression

Structural equation modeling with latent variables was used to evaluate the direct and mediated effects of a neighborhood risk factor (negative teen behaviors) on the parent-report aggressive behavior of 213 students in grades 3 through 5 attending a school in a low-income, rural community. Contagion and social control hypotheses were examined as well as hypotheses about whether the neighborhood served as a microsystem or exosystem for rural pre-adolescents. Analyses took into account the clustering of students and ordinal nature of the data. Findings suggest that rural neighborhoods may operate as both a microsystem and exosystem for children, with direct contagion effects on their aggressive behaviors as well as indirect social control effects through parenting practices. Direct effects on aggression were also found for parenting practices and child reports of friends’ negative behaviors. Pre-adolescence may be a transitional stage, when influences of the neighborhood on child behavior begin to compete with influences of caregivers. Findings can inform the timing and targets of violence prevention in rural communities.     

Positive beliefs about worry: A psychometric evaluation of the Why Worry-II

Positive beliefs about worry are theorized to maintain excessive and uncontrollable worry, the hallmark of generalized anxiety disorder (GAD; American Psychiatric Association, 2013). The Why Worry-II (WW-II) is a 25-item revised questionnaire designed to measure five positive beliefs about worry. These five beliefs are that worry: (1) facilitates problem solving; (2) enhances motivation; (3) protects against negative emotions; (4) prevents negative outcomes; and (5) reflects a positive personality trait. The main goal of this study was to assess the WW-II’s psychometric properties, including its factor structure. Undergraduate participants (N = 309) completed the WW-II, and measures of worry, depression, anxiety, and positive and negative beliefs about worry. Overall, the results suggest that the five-factor model is a good fit to the data. The WW-II demonstrated excellent internal consistency, good test–retest reliability at six weeks, and evidence of convergent and divergent validity. The WW-II also uniquely predicted worry severity. Overall, our findings suggest that the WW-II has a five-factor structure congruent with theoretical predictions, sound psychometric properties, and a unique relationship to excessive worry. The theoretical and clinical implications of these findings are discussed.     

The Dark Triad,happiness and subjective well-being

Narcissism can be expressed in grandiose or vulnerable forms. We examined whether positive psychological states (defined by the Oxford Happiness Inventory (OHI) and the Diener Satisfaction With Life (SWL) scales) assisted differentiation relative to general personality traits and the “the Dark Triad” (psychopathy, narcissism, and Machiavellianism, measured by the D12 and Short Dark Triad (SD3) indices) for 840 persons primarily from the UK, USA and Canada. The best fitting structural equation model comprised two latent variables, one of positive mood (comprising total scores on the OHI and SWL scales), and another forming a “dark dyad” of Machiavellianism and psychopathy (predicted by low agreeableness and lower positive mood), with narcissism regarded as a separate construct correlated with the dark dyad. Latent positive mood was primarily predicted by higher emotional stability and extraversion. Narcissism was predicted by lower emotional stability, lower agreeableness, and higher extraversion. Latent profile analysis identified four groups in the data: “unhappy but not narcissistic”, “vulnerable narcissism”, “happy non-narcissism” and “grandiose narcissism”. Our results suggest more problematic narcissism can be identified by reference to measures indexing positive mood states and general personality traits.     

Theory and teen dating violence victimization: Considering adolescent development

Teen dating violence is an important public health problem, with implications for the future health and well-being of adolescents. However, most work on teen dating violence has developed separately from literature on normative adolescent romantic relationships and development; understanding teen dating violence within the framework of adolescent psychosocial development may provide new areas for research. Thus, the present paper summarizes five theories of adolescent development that are relevant to the study of teen dating violence victimization, as well as empirical literature that demonstrates support for key theoretical tenets in research examining adolescent romantic relationships. We also present questions for future dating violence study that arise from these key theoretical tenets and past empirical research. Researchers interested in dating violence victimization can use the presented theories to guide new directions in research inquiry, so that findings are situated within the broader field of adolescent development.     

Quantitative Standards for Absolute Linguistic Universals

Absolute linguistic universals are often justified by cross‐linguistic analysis: If all observed languages exhibit a property, the property is taken to be a likely universal, perhaps specified in the cognitive or linguistic systems of language learners and users. In many cases, these patterns are then taken to motivate linguistic theory. Here, we show that cross‐linguistic analysis will very rarely be able to statistically justify absolute, inviolable patterns in language. We formalize two statistical methods—frequentist and Bayesian—and show that in both it is possible to find strict linguistic universals, but that the numbers of independent languages necessary to do so is generally unachievable. This suggests that methods other than typological statistics are necessary to establish absolute properties of human language, and thus that many of the purported universals in linguistics have not received sufficient empirical justification.     

A SYSTEMS MODEL OF SPIRITUALITY

Within the scientific study of spirituality there are substantial ambiguities and uncertainties about relevant concepts, terms, evidences, methods, and relationships. Different disciplinary approaches reveal or emphasize different aspects of spirituality, such as outcomes, behaviors, skills, ambitions, and beliefs. I argue that these aspects interdepend in a way that constitutes a “systems model of spirituality.” This model enables a more holistic understanding of the nature of spirituality, and suggests a new definition that disambiguates spirituality from related concepts such as religion, cultural sophistication, and prosocial behavior in animals. It also exposes important open questions about the nature of spirituality. To support the emerging scientific approach to the study of spirituality, I propose the development of a “philosophy of spirituality” that can clarify the conceptual terrain, identify important research directions, and facilitate a comprehensive and interdisciplinary investigation into the nature, validity, and implications of spirituality's conceptual and practical entailments.     

The Effects of Prior Learned Strategies on Updating an Opponent's Strategy in the Rock,Paper, Scissors Game

To explore how model building adapts to changing environments, we had participants play “rock‐paper‐scissors” against a computer that played a frequency bias or a player‐dependent bias and then switched. Participants demonstrated their use of prior experience in how quickly they recognized and exploited changes in the computer's play strategy; in general, the more similar the strategies, the more efficient the updating. These findings inform our understanding of previously reported updating impairments in right‐brain damaged patients.     

Criterion Validity is Maintained When Items are Evaluatively Neutralized: Evidence from a Full‐scale Five‐factor Model Inventory

The original version and an evaluatively neutralized version (with items rephrased to reduce popularity) of a personality inventory were compared. The results revealed (i) similar criterion validity across three different sets of self‐rated behaviours, (ii) stronger relations to the rated social desirability of criteria for the original version and (iii) less correlation between factors for the neutralized version. We take the results to indicate that evaluative neutralization is a viable technique for reducing social desirability in self‐ratings. Implications for test construction are discussed. Copyright © 2014 European Association of Personality Psychology     

非小细胞肺癌 EG FR 基因突变检测与临床意义

采用荧光PCR法对199例晚期非小细胞肺癌（NSCLC ）组织进行表皮生长因子受体（EGFR ）基因突变检测,分析EGFR基因突变的分布特征及其与临床病理特征的相关性。结果显示56例（28．1％）存在EGFR基因突变,其中27例（13．6％）为外显子19突变,25例（12．6％）为外显子21突变,2例为外显子18突变,1例外显子20突变,1例外显子18和20的共突变。另外,除广东及安徽省铜陵市外,辽宁地区NSCLC患者EGFR基因突变率及主要突变类型与其他地区相符,常见于外显子19、21突变,其中腺癌、不吸烟患者突变率更高,更适宜EGFR-TKI靶向治疗。