Large Proportion Of Variance Research Articles

Vocational identity of at-risk emerging adults and its relationship with individual characteristics

Vocational identity is a prerequisite for enhancing societal inclusion of at-risk emerging adults. School curricula and rebound programs need insights into individual differences of these youths to effectively foster their vocational identity. Identifying three aspects of vocational identity, a questionnaire study among at-risk emerging adults in The Netherlands (N = 996) examined the relationship between clusters of demographic, personality, self-sufficiency, self-competence, and school engagement characteristics and vocational identity performing blockwise entry analyses. Largest proportions of variance were explained by personality traits and, to a lesser extent, motivation, resilience, and valuing school outcome. These malleable characteristics offer opportunities for interventions.

Testing Beta-Pricing Models Using Large Cross-Sections

Abstract We propose a methodology for estimating and testing beta-pricing models when a large number of assets is available for investment but the number of time-series observations is fixed. We first consider the case of correctly specified models with constant risk premia, and then extend our framework to deal with time-varying risk premia, potentially misspecified models, firm characteristics, and unbalanced panels. We show that our large cross-sectional framework poses a serious challenge to common empirical findings regarding the validity of beta-pricing models. In the context of pricing models with Fama-French factors, firm characteristics are found to explain a much larger proportion of variation in estimated expected returns than betas. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Abstract 3578: Comprehensive pharmacogenomic analysis establishes lncRNAs as protein-coding independent biomarker of drug response in human cancers

Abstract Somatic alterations in the cancer genome influence a patient’s response to anti-cancer therapeutics. Thus, identifying context-specific alterations associated with differential drug sensitivity can improve patient response prediction and therapeutic selection. The discovery of pervasive dysregulation of long non-coding RNAs (lncRNA) in human cancers and their perceived role in gene regulation has led to the speculation that lncRNAs may also play a role in determining cancer drug response. However, it is unclear whether lncRNAs can augment the existing, predominantly protein coding, repertoire of pharmacogenomic biomarkers of anti-cancer agents. We performed comprehensive analysis of whole genome and transcriptome data from over 1000 cancer cell lines and drug screening data for over 500 anti-cancer agents to systematically analyze over 5 million lncRNA-drug associations. We developed statistical and machine-learning frameworks to study these associations while controlling for the effects of confounding PCGs. Sparse regression and network-based methods demonstrated the predictive ability and biological relevance of literature-supported and novel lncRNAs biomarkers. Using regression analysis of lncRNA expression controlling for neighboring PCGs against drug response, we established that a large proportion of the lncRNAs candidates are PCG-independent biomarkers and potent predictors of cancer drug response. We further identified response-associated somatic alterations specifically in lncRNA genome that do not overlap PCGs. In addition, we demonstrated that collinear lncRNAs might be biologically relevant determinants of drug response. As an example, we identified EGFR-AS1 and MIR205HG as novel predictors of anti-EGFR therapy, which explain a significantly larger proportion of variability in erlotinib and gefitinib response as compared to EGFR mutations and copy-number alterations in drug screens and in patient data. We validated our findings in 16 non-small cell lung cancer and erlotinib-resistant cell lines. Our knockdown experiments revealed mechanisms of erlotinib sensitivity mediated by the two lncRNAs without influencing EGFR expression. In conclusion, our comprehensive analysis generated unprecedented insights into the role of lncRNAs in cancer drug response that reaches beyond PCGs. This study will serve as a foundation for future cancer pharmacogenomic studies and will be an invaluable resource for investigators seeking insights into mechanisms of drug response. Citation Format: Aritro Nath, Eunice Y. Lau, Adam M. Lee, Paul Geeleher, William C. Cho, R. Stephanie Huang. Comprehensive pharmacogenomic analysis establishes lncRNAs as protein-coding independent biomarker of drug response in human cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3578.

An investigation of self-efficacy of students enrolled in a mathematics pathway course

PurposeThe purpose of this paper is to examine hypothesized links between the Dana Center Mathematics Pathways’ (DCMP) Foundations of Mathematical Reasoning curriculum and the four hypothesized sources of self-efficacy. The sample of developmental mathematics students who were taught with a curriculum that incorporates active and collaborative learning reported increased ratings on social persuasions from the beginning to the end of the semester.Design/methodology/approachThe study examines changes in the four sources of self-efficacy. Students completed a pre- and post-survey. Non-parametric methods were conducted to measure changes.FindingsThe paper provides empirical insights into changes in the four sources of self-efficacy with the implementation of a new curriculum in developmental mathematics classrooms. Students in the DCMP Foundation course increased their ratings on social persuasions and mastery experiences and decreased their ratings on physiological states. The largest proportion of variability in the four sources that was accounted for by course grade was mastery experiences followed by vicarious experiences, social persuasions and physiological states.Research limitations/implicationsA control group was not included. Therefore, comparisons between students enrolled in the intervention course and a traditional course were not possible.Practical implicationsAn implication of the study is that a curriculum that has an emphasis on face-to-face communication with collaborative learning activities might be linked to more positive measures of the sources of self-efficacy.Originality/valueThis paper fulfils a need to study how the implementation of an alternative curriculum in developmental mathematics classrooms can be linked to students’ self-efficacy.

Social capital and perceived stress: The role of social context

BackgroundThe aim of this study is twofold: to investigate how much variance in individual perceived stress is attributed to household and area levels, respectively, and to examine the association between social capital at the individual, household, and area levels and perceived stress, while adjusting for various cofounders at the individual, household, and area levels. MethodsThis study used data from the 2010 Seoul Welfare Panel Study conducted by the Seoul Welfare Foundation. A total sample of 5881 individuals in 2820 households within 25 areas was used for multilevel analysis. ResultsThe results showed that a relatively large proportion of variance in perceived stress was attributed to the household level (45.86%) in comparison with the area level (6.96%), which indicates that household or family context is more important in explaining variance in perceived stress than area. This study also found that some components of social capital were negatively associated with perceived stress, and the association between social capital and perceived stress varied depending on levels and types of social capital measures. LimitationsThis study is based on a cross-sectional design, and thus it is not clear about the temporal order between the relationship between social capital and perceived stress. ConclusionsOverall, this study showed that research on social capital and mental health can be advanced by systematically investigating the role of household social capital, not just geographical social capital.

14-day smartphone ambulatory assessment of depression symptoms and mood dynamics in a general population sample: comparison with the PHQ-9 depression screening

Introduction: Major depression affects over 300 million people worldwide but cases of depression are often not detected by primary care providers. Consequently, there is a high demand for low-threshold but clinically sound approaches to depression detection. Recent studies show a great willingness among users of mobile health apps to assess daily depression symptoms. In this pilot study, we present a provisional validation of the depression screening app Moodpath. The app offers a 14-day ambulatory assessment (AA) of depression symptoms based on the ICD-10 criteria as well as ecologically momentary mood ratings that allow the study of short-term mood dynamics. Materials and methods: N=113 randomly selected Moodpath users filled out the Patient Health Questionnaire (PHQ-9) after completing 14 days of AA with 3 question blocks (morning, midday and evening) per day. The psychometric properties (sensitivity, specificity, accuracy) of the ambulatory Moodpath screening were assessed on the basis of the retrospective PHQ-9 screening result. In addition, several indicators of mood dynamics (e.g. average, inertia, instability), were calculated and investigated for their individual and incremental predictive value using regression models. Results: We found a strong linear relationship between the PHQ-9 score and the AA Moodpath depression score (r = .76, p < .001). The app-based screening demonstrated a high sensitivity (.879) and acceptable specificity (.787). Different indicators of mood dynamics covered substantial amounts of PHQ-9 variance, depending on the number of days with mood data that were included in the analyses. Discussion: AA and PHQ-9 shared a large proportion of variance but may not measure exactly the same construct. This may be due to the differences in the underlying diagnostic systems or due to differences in momentary and retrospective assessments. Further validation through structured clinical interviews is indicated. The results suggest that ambulatory assessed mood indicators are a promising addition to multimodal depression screening tools. Improving app-based AA screenings requires adapted screening algorithms and corresponding methods for the analysis of dynamic processes over time.

Flow–ecology relationships are spatially structured and differ among flow regimes

Abstract In streams, hydrology is a predominant driver of ecological structure and function. Providing adequate flows to support aquatic life, or environmental flows, is therefore a top management priority in stream systems. Flow regime classification is a widely accepted approach for establishing environmental flow guidelines. However, it is surprisingly difficult to quantify relationships between hydrology and ecology (flow–ecology relationships) while describing how these relationships vary across classified flow regimes. Developing such relationships is complicated by several sources of spatial bias, such as autocorrelation due to spatial design, flow regime classification and other environmental or ecological sources of spatial bias. We used mixed moving‐average spatial stream network models to develop flow–ecology relationships across classified flow regimes and to assess spatial patterns of these relationships. We compared relationships between fish traits and life‐history strategies with hydrologic metrics across flow regimes and assessed whether spatial autocorrelation influenced these relationships. Trait–hydrology relationships varied between flow regimes and across all streams combined. Some relationships between traits and hydrologic metrics fit predictions based on life‐history theory, while others exhibited unexpected relationships with hydrology. Spatial factors described a large proportion of variability in fish traits and different patterns of spatial autocorrelation were observed in different flow regimes. Synthesis and applications. Further work is needed to understand why flow–ecology relationships vary across classified flow regimes and why these relationships may not fit predictions based on life‐history theories. Managers determining environmental flow standards need to be aware that different hydrologic metrics are often important drivers of fish trait diversity in different flow regimes. Flow–ecology relationships may therefore be confounded by spatial structure inherent in flow regime classification and much existing biological data. Complex patterns of spatial bias should be considered when managing stream systems within an environmental flows framework.

The Potential for Proactive Housing Inspections to Inform Public Health Interventions.

Municipal housing inspection data can inform planning, targeting, and evaluating interventions aimed at reducing housing hazards (lead paint, mold, pests, etc) that may affect residents' health. However, the potential of these data to inform public health initiatives is underexplored. We determined whether home health hazards identified by city inspectors during proactive inspections of single-family private rental housing are predicted by housing age, assessed value, or location in one of 26 geographic "inspector areas" in Rochester, New York. A comparison of linear mixed models, using housing inspector area as a random effect and assessment and construction year as fixed effects, shows that while a large proportion of variation (64%) in violations is due to housing stock, inspectors provide significant additional information about the presence of potential health hazards, particularly in the highest-risk housing stock. This suggests that inspector-generated housing hazard data may be valuable in designing public health interventions.

Evaluating Caregiver Sensitivity to Infants: Measures Matter

The significance of caregiver sensitivity for child development has been debated among scholars, not least due to sensitivity's inconsistent predictive value over time and across contexts. A lack of uniformity in the definition of sensitivity contributes to this debate, but shortfalls of inter-tool concordance and construct validity in the instruments used to assess sensitivity may also be at issue. This study examines correspondences among four established standardized measures of caregiver sensitivity in independent classifications of the same sample of mothers of infants. 50 European American mother- infant dyads of diverse SES were independently assessed with three observational caregiver sensitivity measures: the Emotional Availability Scales (EAS; Biringen, 2008), the Parent Child Interaction - Nursing Child Assessment Feeding Scale (PCI-NCAFS; Oxford & Findlay, 2015), and the Maternal Behaviour Q-Sort (MBQS; Moran, Pederson & Bento, 2009). Ratings were juxtaposed with classifications of the same sample based on the original Ainsworth Maternal Sensitivity Scales (AMSS; Ainsworth, 1969). The EAS, NCAFS, and MBQS related to the AMSS, but large proportions of variance were unshared. Researchers and clinicians should be cautious when assuming that popular observational assessment instruments, commonly believed to measure a generic construct of caregiver sensitivity, are interchangeable, as these measures may evaluate different features of sensitivity to infants.

Mixed Model Analysis of Between-Subject Variability in Overnight Corneal Swelling and Deswelling With Silicone Hydrogel Lenses.

To model between subject variability of corneal swelling (CS) and deswelling after overnight wear of silicone hydrogel (SiHy) contact lenses. A total of 29 neophyte subjects wore 12 SiHy lenses with central transmissibility range of 31 to 211 Dk/t units on separate nights, in random order, and on one eye only. The contralateral eye served as the control. Central corneal thickness was measured using digital optical pachymetry before lens insertion, immediately after lens removal on waking, then 20, 40 minutes, 1, 2, and 3 hours later. Mixed modelling was conducted for simultaneous analysis of group and between-subject effects of CS and deswelling. The best model for overnight CS versus Dk/t was linear with a random intercept showing constant between-subject differences in CS for different Dk/t values. The best fit for corneal deswelling versus time was a curvilinear random intercept and random slope model. About 90% of the total between-subject deswelling variance in either lens or control eyes was due to the intercept variability with much less (∼10%) being due to the variability of the individual deswelling rate (slope). Subject age, sex, and ametropia were not predictors of individual corneal swelling in the swelling versus Dk/t analysis. Age, however, was a significant (inverse) predictor of the rate of corneal deswelling, only in lens-wearing eyes. A large proportion of variability in corneal swelling is because of subject-specific differences in corneal response to hypoxia. This shows that "low swellers" and "high swellers" actually do exist.

Evaluation of the effect of genotype-by-environment interaction on capsaicinoid production in hot pepper hybrids ( Capsicum chinense Jacq.) under controlled environment

Abstract Hot pepper cultivars developed for capsaicinoid production may not perform the same in different growing environments causing a problem to control a quality product for food and pharmaceutical industries. The aim of this study was to investigate the effect of genotype-by-environment interaction on capsaicinoid production of hot pepper hybrids (C. chinense) under controlled environment. Across six growing environments under protected cultivation, seven hot pepper hybrid cultivars and two commercial cultivars were evaluated for capsaicinoid production. The results showed significant differences among cultivars, environments, and cultivar-by-environment interactions for all characteristics studied. A large proportion of variation on fruit number (80.1%), dry fruit yield (78.1%) and capsaicinoid yield (67.7%) was contributed from environment while variations due to genotype were 42.4% for capsaicinoid content trait. Higher relative humidity and lower light intensity gave higher capsaicinoid production. Phet Mordindang had high dry fruit yield, capsaicinoid content and capsaicinoid yield, however it was very sensitive to environmental changes, and therefore best for specific location adaptation. Variation in capsaicinoid production in high pungent hot pepper cultivars can be exploited by selecting hot pepper hybrids with high pungency for growing in a suitable environment or a controlled environment.

Perfectionistic Cognitions: Stability, Variability, and Changes Over Time

ABSTRACTThe construct of perfectionistic cognitions is defined as a state-like construct resulting from a perfectionistic self-schema and activated by specific situational demands. Only a few studies have investigated whether and how perfectionistic cognitions change across different situations and whether they reflect stable between-person differences or also within-person variations over time. We conducted 2 studies to investigate the variability and stability of 3 dimensions of perfectionistic cognitions while situational demands changed (Study 1) and on a daily level during a highly demanding period of time (Study 2). The results of both studies revealed that stable between-person differences accounted for the largest proportion of variance in the dimensions of perfectionistic cognitions and that these differences were validly associated with between-person differences in affect. The frequency of perfectionistic cognitions increased during students' first semester at university, and these average within-person changes were different for the 3 dimensions of perfectionistic cognitions (Study 1). In addition, there were between-person differences in the within-person changes that were validly associated with concurrent changes in closely related constructs (unpleasant mood and tense arousal). Within-person variations in perfectionistic cognitions were also validly associated with variations in unpleasant mood and tense arousal from day to day (Study 2).

Intraspecific trait variation in three common grass species reveals fine-scale species adjustment to local environmental conditions

Studies along environmental gradients have shown that intraspecific trait variation (ITV) may contribute considerably to community-level trait variation. However, we lack knowledge about how the extent of ITV varies on a local scale and whether a varying extent of ITV is related to differences in local environmental site and plant community characteristics. We investigated plant height, specific leaf area (SLA), leaf dry matter content (LDMC) and leaf greenness of three common grass species (Arrhenatherum elatius, Dactylis glomerata, Poa pratensis) in 12 mown grasslands in a local study area around Jena (Thuringia, Germany) across three spatially hierarchical sampling levels: between sites, between subplots within site and within subplots. Arrhenatherum elatius and D. glomerata had higher means in plant height and a lower variation in leaf traits than P. pratensis. The major proportions of variation in leaf traits of P. pratensis and D. glomerata were found within subplots, while the traits of A. elatius varied mainly between sites. Trait correlations across the hierarchical sampling levels were highly consistent in A. elatius, but more variable in D. glomerata and P. pratensis. Environmental site and plant community characteristics mostly explained a larger proportion of variation in trait means in A. elatius than in D. glomerata and P. pratensis, while metrics of ITV were generally less predictable. Our results suggest that trait variation in P. pratensis and D. glomerata is more strongly related to within-site conditions (i.e. biotic interactions), while differences in local environmental conditions between sites have a strong impact on trait variation in A. elatius. Since our study was limited to three grass species, further studies with a greater number of species are required to make generalizations about the importance of biotic interactions and environmental conditions as drivers of ITV at local scale.

Environment and dispersal influence changes in species composition at different scales in woody plants of the Western Ghats, India

AbstractQuestionWhat are the relative roles of environmental and spatial factors in influencing variation in species composition of tropical woody plants at different spatial scales?LocationTropical evergreen forests, Western Ghats, South India.MethodsUsing a plot‐based species inventory spanning the entire latitudinal extent (1,200 km) of the Western Ghats’ wet evergreen forests, we collected primary data on spatial variation in species composition of woody plants. Each plot was characterized by a set of environmental descriptors consisting of topographic, edaphic and climatic variables, while eigenvector‐based spatial variables and plot coordinates were used as spatial descriptors. We used ordination‐based as well as distance‐based variation partitioning techniques to partition the variation in species composition into components uniquely and jointly explained by environmental and spatial factors.ResultsThe compositional similarity of woody plants largely showed a linear decline with log‐geographic distance. However, this relationship was spatially structured. After controlling for the differences in environment, compositional similarity was found to be strongly associated with geographic distance only at the smallest spatial scale. Variation partitioning analysis revealed that environmental variables explained a much larger proportion of variation in species composition overall compared to spatial variables. Among environmental variables, climatic variables emerged as the most important predictors of variation in species composition at regional and landscape scales.ConclusionsStrong association between compositional similarity and geographic distance at local scales indicates the influence of dispersal limitation, while niche differentiation seems to be a more important driver of variation in species composition at larger spatial scales. Overall, our results provide evidence for scale‐dependent shifts in the relative importance of factors that are responsible for variation in species composition.

Changes in Life Satisfaction in the Retirement Transition: Interaction Effects of Transition Type and Individual Resources

The impact of retirement on well-being varies between individuals, but also within individuals over time. Type of transition and individual differences in resource capability are two factors likely to influence the retirement adjustment process, but we still lack in our understanding of the importance of these factors in relation to each other. 'I he aim of this study was to investigate interaction effects of transition type and individual resources on changes in life satisfaction in the retirement transition. We studied changes in life satisfaction over 1 year in a sample of 3,471 older adults from the population-based HEalth, Ageing, and Retirement Transitions in Sweden (HEARTS) study. The sample included participants retiring gradually (n = 360) or fully (n = 346) between the two measurement points as well those continuously working (n = 1,860) or retired (n = 905) in both waves. Resources evaluated for their role in the transition included baseline measures of self-esteem, autonomy, social support, self-rated physical health, self-rated cognitive ability, and basic financial assets. Results from multiple group latent change score models showed that retirement transition type and individual differences in resource capability variously influenced changes in life satisfaction. The six resources accounted for a larger proportion of individual differences in change among those who retired between the two waves (21.2%) than in those whose retirement status remained unchanged (12.6%). In addition, a larger proportion of variability in changes in life satisfaction were explained in abrupt (31.4%) than in gradual (11.7%) retirement.

Age trends in musical preferences in adulthood: 3. Perceived musical attributes as intrinsic determinants of preferences

Increased age has been found to be associated with differences in musical preferences in adulthood. In past research, these differences were mostly attributed to changes in the social context. However, these influences were small and a large proportion of variance in age trends in musical preferences still remains to be explained. The aim of this article is to investigate the hypothesis that age trends in musical preferences are related to differences in preferences for some intrinsic attributes of the music in line with the Music Preferences in Adulthood Model (Bonneville-Roussy et al., 2017). Adult participants ( N = 481) were asked to rate their preferences for extracts of 51 audio-music recordings (music clips) and musical attributes related to dynamics, pitch, structure, tempo, and timbre. Audio-features of the 51 clips were extracted using Music Information Retrieval methods. Using self-report, we found that the musical preferences of adults were linked with distinct likings for musical attributes, with large effects. We also discovered that self-rated attributes associated with dynamics and timbre moderated the links between age and musical preferences. Using the extracted features, we found that musical preferences were linked with distinct patterns of musical features. Finally, we established that the patterns of preferences of emerging, young and middle-aged adults were increasingly influenced by audio-features of timbre, dynamics and tonal clarity. These findings suggest that age trends in musical preferences could be partially explained by differences in the ways individuals process the intrinsic attributes of the music with age.

Coagulation monitoring correlation with heparin dose in pediatric extracorporeal life support.

Extracorporeal Life Support (ECLS) risks thrombotic and hemorrhagic complications. Optimal anti-coagulation monitoring is controversial. We compared coagulation tests evaluating the heparin effect in pediatric ECLS. A retrospective study of children (<18yrs) undergoing ECLS over 12 months in a tertiary pediatric intensive care unit (PICU). Variables included anti-Factor Xa activity (anti-Xa), activated partial thromboplastin time (aPTT), activated clotting time (ACT) and thromboelastogram (TEG®6s) parameters: ratio and delta reaction (R) times (the ratio and difference, respectively, between R times in kaolin assays with and without heparinase). Test results were correlated with unfractionated heparin infusion rate (IU/kg/hr) at the time of sampling. Mean test results of each ECLS run were evaluated according to the presence/absence of complications. Thirty-two ECLS runs (31 patients) generated 695 data-points for correlation. PICU mortality was 22% and the thrombotic complication rate was 66%. The proportion of variation in coagulation test results explained by heparin dose was 13.3% for anti-Xa, 11.9% for ratio R time, and 9.9% for delta R time, compared with <1% for ACT and aPTT. Incorporating individual variation, age and antithrombin activity in a model with heparin dose explained less than 50% of the variation in test results. Correlation varied according to age, day of ECLS run and between individuals, with parallel dose-response lines noted between patients. Significantly lower mean anti-Xa was observed in PICU non-survivors and runs with thrombosis. Lower anti-Xa was observed in ECLS runs with complications. Although absolute results from anti-Xa and TEG6®s showed the best correlation with heparin dose, a large proportion of variation in results was unexplained by heparin, while dose response was similar between individuals. Population pharmacokinetic/pharmacodynamic modelling is required, as well as prospective trials to delineate the superior means of adjusting heparin therapy to prevent adverse clinical outcomes.

Mortality and histopathological effects in harbour-transplanted snails with different exposure histories

Contaminants are important stressors in the aquatic environment and may exert selective pressures on organisms. We hypothesized that snails originating from a metal-contaminated habitat (B) would have increased tolerance to harbour contaminants (e.g. metals from antifouling paints), compared to snails originating from a relatively clean habitat (A). We assessed tolerance to metals in terms of survival and histopathological alterations after 2, 4 and 8 weeks of in situ exposure in three Baltic Sea boat harbours and three reference sites. We also hypothesized that any potential tolerance to contaminants would be associated with differences in genetic diversity between the two snail populations (evaluated as mitochondrial cytochrome c oxidase subunit I, COI). The results show that snails from population A survived to a higher extent compared to population B, possibly indicating either a lack of adaptation to metals in snails B or impaired health condition due to contaminant pre-exposure or a higher resilience of snails A. Moreover, the genetic diversity of COI was low within each population and did not differ between populations. In general, 83% of all the types of histopathological alterations (e.g. lysis and necrosis of gonads and digestive gland or granulocytoma and phagocytosis in the storage tissue, among others) had a higher probability of occurrence among harbour-exposed snails compared to reference-exposed snails, regardless of snail population origin. The only significant difference in histological effects between the two populations was in the frequency of parasite infestations and shell fouling, both being larger for population A than B. Interestingly, the rate of parasite infestations was higher for males than females from population A, whereas no sexual dichotomy was observed for population B. Our results show that exposure to harbour contaminants causes both lethal and sublethal toxicity to snails, and the association between many of the toxic responses and metals substantiates that antifouling substances contribute to the observed effects, although there is a large proportion of variation in our data that remains unexplained.

The MacArthur Competence Assessment Tool-Criminal Adjudication: Factor structure, interrater reliability, and association with clinician opinion of competence in a forensic inpatient sample.

Adjudicative competence is the most frequently referred evaluation in the forensic context, and it is because of this that periodic evaluation of competence assessment instruments is imperative. Among those instruments, the MacArthur Competence Assessment Tool-Criminal Adjudication (MacCAT-CA) has demonstrated adequate psychometric properties suggesting its utility in informing the forensic inquiry. The purpose of the current study was to further investigate the psychometric properties and ultimate utility of subscale scores using archival data from a sample of 103 male and female forensic patients who were hospitalized for competence restoration treatment. Results of the present study suggested adequate internal consistency and good model fit for the factor structure. Interrater reliability was evaluated by comparing the absolute agreement of scores derived from 2 independent research assistants for each of the subscales; 2 of the 3 subscales fell within the acceptable range given established interpretative benchmarks for forensic assessment. Of particular interest was that the Appreciation subscale, while heralding the lowest intraclass correlation coefficient, explained the largest proportion of variance in clinician opinion relative to the other 2 subscales. In other words, the most subjective subscale (as evidenced by the lowest intraclass correlation), explained the largest proportion of variance in ultimate opinion. The authors argue that, although these results are an important consideration in these assessments, they are neither surprising nor entirely problematic when considering the case-specific nature of the inquiries on the subscale, as well as the subjectivity of scoring criteria for each of the Appreciation items. (PsycINFO Database Record

Real-time PCR quantification of arbuscular mycorrhizal fungi: does the use of nuclear or mitochondrial markers make a difference?

Root colonization by arbuscular mycorrhizal fungi (AMF) can be quantified by different approaches. We compared two approaches that enable discrimination of specific AMF taxa and are therefore emerging as alternative to most commonly performed microscopic quantification of AMF in roots: quantitative real-time PCR (qPCR) using markers in nuclear ribosomal DNA (nrDNA) and mitochondrial ribosomal DNA (mtDNA). In a greenhouse experiment, Medicago truncatula was inoculated with four isolates belonging to different AMF species (Rhizophagus irregularis, Claroideoglomus claroideum, Gigaspora margarita and Funneliformis mosseae). The AMF were quantified in the root samples by qPCR targeted to both markers, microscopy and contents of AMF-specific phospholipid fatty acids (PLFA). Copy numbers of nrDNA and mtDNA were closely related within all isolates; however, the slopes and intercepts of the linear relationships significantly differed among the isolates. Across all isolates, a large proportion of variance in nrDNA copy numbers was explained by root colonization intensity or contents of AMF-specific PLFA, while variance in mtDNA copy numbers was mainly explained by differences among AMF isolates. We propose that the encountered inter-isolate differences in the ratios of mtDNA and nrDNA copy numbers reflect different physiological states of the isolates. Our results suggest that nrDNA is a more suitable marker region than mtDNA for the quantification of multiple AMF taxa as its copy numbers are better related to fungal biomass across taxa than are copy numbers of mtDNA.