805 resultados para varimax factor analysis


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Running economy (RE), i.e. the oxygen consumption at a given submaximal speed, is an important determinant of endurance running performance. So far, investigators have widely attempted to individuate the factors affecting RE in competitive athletes, focusing mainly on the relationships between RE and running biomechanics. However, the current results are inconsistent and a clear mechanical profile of an economic runner has not been yet established. The present work aimed to better understand how the running technique influences RE in sub-elite middle-distance runners by investigating the biomechanical parameters acting on RE and the underlying mechanisms. Special emphasis was given to accounting for intra-individual variability in RE at different speeds and to assessing track running rather than treadmill running. In Study One, a factor analysis was used to reduce the 30 considered mechanical parameters to few global descriptors of the running mechanics. Then, a biomechanical comparison between economic and non economic runners and a multiple regression analysis (with RE as criterion variable and mechanical indices as independent variables) were performed. It was found that a better RE was associated to higher knee and ankle flexion in the support phase, and that the combination of seven individuated mechanical measures explains ∼72% of the variability in RE. In Study Two, a mathematical model predicting RE a priori from the rate of force production, originally developed and used in the field of comparative biology, was adapted and tested in competitive athletes. The model showed a very good fit (R2=0.86). In conclusion, the results of this dissertation suggest that the very complex interrelationships among the mechanical parameters affecting RE may be successfully dealt with through multivariate statistical analyses and the application of theoretical mathematical models. Thanks to these results, coaches are provided with useful tools to assess the biomechanical profile of their athletes. Thus, individual weaknesses in the running technique may be identified and removed, with the ultimate goal to improve RE.

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Here I will focus on three main topics that best address and include the projects I have been working in during my three year PhD period that I have spent in different research laboratories addressing both computationally and practically important problems all related to modern molecular genomics. The first topic is the use of livestock species (pigs) as a model of obesity, a complex human dysfunction. My efforts here concern the detection and annotation of Single Nucleotide Polymorphisms. I developed a pipeline for mining human and porcine sequences. Starting from a set of human genes related with obesity the platform returns a list of annotated porcine SNPs extracted from a new set of potential obesity-genes. 565 of these SNPs were analyzed on an Illumina chip to test the involvement in obesity on a population composed by more than 500 pigs. Results will be discussed. All the computational analysis and experiments were done in collaboration with the Biocomputing group and Dr.Luca Fontanesi, respectively, under the direction of prof. Rita Casadio at the Bologna University, Italy. The second topic concerns developing a methodology, based on Factor Analysis, to simultaneously mine information from different levels of biological organization. With specific test cases we develop models of the complexity of the mRNA-miRNA molecular interaction in brain tumors measured indirectly by microarray and quantitative PCR. This work was done under the supervision of Prof. Christine Nardini, at the “CAS-MPG Partner Institute for Computational Biology” of Shangai, China (co-founded by the Max Planck Society and the Chinese Academy of Sciences jointly) The third topic concerns the development of a new method to overcome the variety of PCR technologies routinely adopted to characterize unknown flanking DNA regions of a viral integration locus of the human genome after clinical gene therapy. This new method is entirely based on next generation sequencing and it reduces the time required to detect insertion sites, decreasing the complexity of the procedure. This work was done in collaboration with the group of Dr. Manfred Schmidt at the Nationales Centrum für Tumorerkrankungen (Heidelberg, Germany) supervised by Dr. Annette Deichmann and Dr. Ali Nowrouzi. Furthermore I add as an Appendix the description of a R package for gene network reconstruction that I helped to develop for scientific usage (http://www.bioconductor.org/help/bioc-views/release/bioc/html/BUS.html).

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Dealing with latent constructs (loaded by reflective and congeneric measures) cross-culturally compared means studying how these unobserved variables vary, and/or covary each other, after controlling for possibly disturbing cultural forces. This yields to the so-called ‘measurement invariance’ matter that refers to the extent to which data collected by the same multi-item measurement instrument (i.e., self-reported questionnaire of items underlying common latent constructs) are comparable across different cultural environments. As a matter of fact, it would be unthinkable exploring latent variables heterogeneity (e.g., latent means; latent levels of deviations from the means (i.e., latent variances), latent levels of shared variation from the respective means (i.e., latent covariances), levels of magnitude of structural path coefficients with regard to causal relations among latent variables) across different populations without controlling for cultural bias in the underlying measures. Furthermore, it would be unrealistic to assess this latter correction without using a framework that is able to take into account all these potential cultural biases across populations simultaneously. Since the real world ‘acts’ in a simultaneous way as well. As a consequence, I, as researcher, may want to control for cultural forces hypothesizing they are all acting at the same time throughout groups of comparison and therefore examining if they are inflating or suppressing my new estimations with hierarchical nested constraints on the original estimated parameters. Multi Sample Structural Equation Modeling-based Confirmatory Factor Analysis (MS-SEM-based CFA) still represents a dominant and flexible statistical framework to work out this potential cultural bias in a simultaneous way. With this dissertation I wanted to make an attempt to introduce new viewpoints on measurement invariance handled under covariance-based SEM framework by means of a consumer behavior modeling application on functional food choices.

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Workaholism is defined as the combination of two underlying dimensions: working excessively and working compulsively. The present thesis aims at achieving the following purposes: 1) to test whether the interaction between environmental and personal antecedents may enhance workaholism; 2) to develop a questionnaire aimed to assess overwork climate in the workplace; 3) to contrast focal employees’ and coworkers’ perceptions of employees’ workaholism and engagement. Concerning the first purpose, the interaction between overwork climate and person characteristics (achievement motivation, perfectionism, conscientiousness, self-efficacy) was explored on a sample of 333 Dutch employees. The results of moderated regression analyses showed that the interaction between overwork climate and person characteristics is related to workaholism. The second purpose was pursued with two interrelated studies. In Study 1 the Overwork Climate Scale (OWCS) was developed and tested using a principal component analysis (N = 395) and a confirmatory factor analysis (N = 396). Two overwork climate dimensions were distinguished, overwork endorsement and lacking overwork rewards. In Study 2 the total sample (N = 791) was used to explore the association of overwork climate with two types of working hard: work engagement and workaholism. Lacking overwork rewards was negatively associated with engagement, whereas overwork endorsement showed a positive association with workaholism. Concerning the third purpose, using a sample of 73 dyads composed by focal employees and their coworkers, a multitrait-multimethod matrix and a correlated trait-correlated method model, i.e. the CT-C(M–1) model, were examined. Our results showed a considerable agreement between raters on focal employees' engagement and workaholism. In contrast, we observed a significant difference concerning the cognitive dimension of workaholism, working compulsively. Moreover, we provided further evidence for the discriminant validity between engagement and workaholism. Overall, workaholism appears as a negative work-related state that could be better explained by assuming a multi-causal and multi-rater approach.

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Untersucht werden Prozess-Ergebnis-Zusammenhänge einer kognitiv-verhaltenstherapeutischen Gruppentherapie für Diabetes und Depression im Rahmen der DAD-Studie. rnAufgrund des Mangels an geeigneten Erhebungsinstrumenten der validen, ökonomischen und komplementären Sitzungsbewertung von Gruppenpatienten und -therapeuten wurden angelehnt an einen Patienten- (GTS-P) zwei Therapeutenstundenbögen entwickelt: der GTS-T zur Bewertung der Gesamtgruppe und der GTS-TP zur Bewertung einzelner Patienten. Die GTS-Bögen zeigen bei der Überprüfung der Testgüte insgesamt gute Itemparameter und Reliabilitäten. Das in den exploratorischen Faktorenanaylsen des GTS-P identifizierte zweifaktorielle Modell (1. wahrgenommene Zuversicht hinsichtlich der Gruppentherapie, 2. wahrgenommene persönliche Beteiligung) kann in den konfirmatorischen Faktorenanalysen bestätigt werden. Dazu wurden GTS-P-Daten aus einer Untersuchung mit Patienten mit somatoformen Störungen (Schulte, 2001) einbezogen. Den Ergebnissen der Item- und Faktorenanalysen folgend, wurden zwei Items des GTS-P und zwei weitere Items des GTS-T aus den Instrumenten ausgeschlossen. Für den GTS-T zeigt sich eine einfaktorielle, für den GTS-TP eine zum GTS-P parallele zweifaktorielle Struktur. rnIn den Mehrebenenanalysen zur Vorhersage des Therapieergebnisses (Post-Depressionssymptomatik) zeigt sich die Skala Zuversicht des GTS-P zu Therapiebeginn (1.-4. Sitzung) kontrolliert an der Skala Beteiligung und der Prä-Symptomatik, als valider Prädiktor. Das Item 5 „Anregungen“ (Skala Zuversicht) und Item 2 „Aktive Mitwirkung“ (Skala Beteiligung) sind am stärksten an diesem Effekt beteiligt, da diese Itemkombination das Therapieergebnis ebenfalls valide vorhersagen kann. Die Prognose ist schon durch die Werte der ersten Gruppentherapiesitzungen in der Remoralisierungsphase (Howard et al., 1993) möglich und verbessert sich nicht bei Berücksichtigung aller 10 Gruppensitzungen. Die Therapeutenbögen zeigen keine prädiktive Validität. Bedeutsame Zusammenhänge der Patienten- und Therapeutenbewertungen finden sich lediglich für den GTS-P und GTS-TP. Weitere Prädiktoren, wie der Diabetestyp, Diabeteskomplikationen und die Adhärenz, konnten nicht zur Verbesserung der Vorhersage beitragen. Für sekundär überprüfte Kriterien gelang die Prognose lediglich für ein weiteres Maß der Depressionssymptomatik und für eine Gesamtbewertung der Gruppentherapie durch die Patienten zu Therapieende. Bei der deskriptiven Betrachtung der Prozessqualität der DAD-Gruppentherapien zeigen sich positive, über den Verlauf der Gruppe zunehmende und nach Therapiephasen differenzierbare Bewertungsverläufe. rnDie Ergebnisse der Studie sprechen für die Relevanz von unspezifischen Wirkfaktoren für das Therapieergebnis von kognitiv-behavioralen Gruppentherapien. Die von den Gruppenpatienten wahrgenommene Zuversicht und Beteiligung als Zeichen der Ansprechbarkeit auf die Therapie sollte mit Hilfe von Stundenbögen, wie den GTS-Bögen, von Gruppentherapeuten zur Prozessoptimierung und Prävention von Therapieabbrüchen und Misserfolgen beachtet werden. rn

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In dieser Masterarbeit wird die Frage untersucht, ob sich in den mittel- und osteuropäischen EU-Mitgliedsländern der Erweiterungsrunde von 2004 (Estland, Litauen, Polen, Slowakei, Slowenien, Ungarn, Tschechien) in der Befürwortung verschiedener normativer Demokratiemodelle Unterschiede zwischen der jüngsten und den älteren Generationen finden lassen. Diese demokratischen Wertorientierungen spielen für die Persistenz der noch jungen Demokratien eine entscheidende Rolle. Eine Inkongruenz des mehrheitlich favorisierten Demokratiemodells einerseits und der institutionellen Struktur andererseits kann zu Spannungen und Instabilität des politischen Systems führen. Theoretisch werden zwei Demokratiekonzeptionen unterschieden: Das Modell der liberalen Demokratie und das Modell der sozialistischen Demokratie. Dem Sozialisationsansatz folgend, sollte die jüngste Generation ein liberales Demokratiemodell eher und ein sozialistisches Demokratiemodell weniger befürworten als die älteren Generationen. In der empirischen Analyse auf Basis der Daten der sechsten Welle des European Social Survey von 2012 wird zunächst durch konfirmatorische Faktorenanalysen die konzeptuelle Trennung beider Modelle bestätigt. In der Regressionsanalyse wird der Fokus durch die Untersuchung verschiedener Kohorten gelegt, zusätzlich wird für situative Faktoren und mögliche Alterseffekte kontrolliert. Die Ergebnisse der Modellschätzungen zeichnen ein heterogenes Bild. In keinem der untersuchten Länder zeigt sich eine signifikant höhere Zustimmung zum liberalen Demokratiemodell durch die jüngste Generation, wie es der theoretischen Erwartung entsprechen würde. Stattdessen finden sich entweder keine signifikanten Unterschiede zwischen den Generationen oder sogar signifikant niedrigere Zustimmungswerte durch die jüngste Generation. Bei der Befürwortung eines sozialistischen Demokratiemodells entsprechen die Ergebnisse teilweise der theoretischen Erwartung: In einigen Ländern finden sich signifikant niedrigere Zustimmungswerte in der jüngsten Generation.

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The Working Alliance Inventory-Short Revised (WAI-SR) is a recently refined measure of the therapeutic alliance that assesses three key aspects of the therapeutic alliance: (a) agreement on the tasks of therapy, (b) agreement on the goals of therapy and (c) development of an affective bond. The WAI-SR demonstrated good psychometric properties in an initial validation in psychotherapy outpatients in the USA. The generalizability of these findings is limited because in some countries a substantial portion of individual psychotherapy is delivered in inpatient settings. This study investigated and compared the psychometric properties of the WAI-SR in German outpatients (N = 88) and inpatients (N = 243). In both samples reliability (alpha > 0.80) and convergent validity with the Helping Alliance Questionnaire were good (r > 0.64). Confirmatory factor analysis showed acceptable to good model fit for the proposed Bond-Task-Goal model in both samples. Multi-group analysis demonstrated that the same constructs were measured across settings. Alliance ratings of outpatients and inpatients differed regarding the overlap of alliance components and the magnitude of the alliance ratings: The differentiation of the alliance components was poorer in inpatients and they reported lower alliances. Unique aspects of the alliance in inpatient treatment are discussed and a need for further research on the alliance in inpatient settings is pointed out. Overall, the WAI-SR can be recommended for alliance assessment in both settings.

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INTRODUCTION: Rivaroxaban (RXA) is licensed for prophylaxis of venous thromboembolism after major orthopaedic surgery of the lower limbs. Currently, no test to quantify RXA in plasma has been validated in an inter-laboratory setting. Our study had three aims: to assess i) the feasibility of RXA quantification with a commercial anti-FXa assay, ii) its accuracy and precision in an inter-laboratory setting, and iii) the influence of 10mg of RXA on routine coagulation tests. METHODS: The same chromogenic anti-FXa assay (Hyphen BioMed) was used in all participating laboratories. RXA calibrators and sets of blinded probes (aim ii.) were prepared in vitro by spiking normal plasma. The precise RXA content was assessed by high-pressure liquid chromatography-tandem mass spectrometry. For ex-vivo studies (aim iii), plasma samples from 20 healthy volunteers taken before and 2 - 3hours after ingestion of 10mg of RXA were analyzed by participating laboratories. RESULTS: RXA can be assayed chromogenically. Among the participating laboratories, the mean accuracy and the mean coefficient of variation for precision of RXA quantification were 7.0% and 8.8%, respectively. Mean RXA concentration was 114±43?g/L .RXA significantly altered prothrombin time, activated partial thromboplastin time, factor analysis for intrinsic and extrinsic factors. Determinations of thrombin time, fibrinogen, FXIII and D-Dimer levels were not affected. CONCLUSIONS: RXA plasma levels can be quantified accurately and precisely by a chromogenic anti-FXa assay on different coagulometers in different laboratories. Ingestion of 10mg RXA results in significant alterations of both PT- and aPTT-based coagulation assays.

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Seventeen polycyclic aromatic hydrocarbons (PAHs) were studied in surface waters (including particulate phase) from the Chenab River, Pakistan and ranged from 289-994 and 437-1290 ng l-1 in summer and winter (2007-09), respectively. Concentrations for different ring-number PAHs followed the trend: 3-rings > 2-rings > 4-rings > 5-rings > 6-rings. The possible sources of PAHs are identified by calculating the indicative ratios; appropriating petrogenic sources of PAHs in urban and sub-urban regions with pyrogenic sources in agricultural region. Factor analysis based on principal component analysis identified the origins of PAHs from industrial activities, coal and trash burning in agricultural areas and municipal waste disposal from surrounding urban and sub-urban areas via open drains into the riverine ecosystem. Water quality guidelines and toxic equivalent factors highlighted the potential risk of low molecular weight PAHs to the aquatic life of the Chenab River. The flux estimated for PAHs contaminants from the Chenab River to the Indus River was >50 tons/year.

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Background Depressive and anxiety symptoms often co-occur resulting in a debate about common and distinct features of depression and anxiety. Methods An exploratory factor analysis (EFA) and a bifactor modelling approach were used to separate a general distress continuum from more specific sub-domains of depression and anxiety in an adolescent community sample (n = 1159, age 14). The Mood and Feelings Questionnaire and the Revised Children's Manifest Anxiety Scale were used. Results A three-factor confirmatory factor analysis is reported which identified a) mood and social-cognitive symptoms of depression, b) worrying symptoms, and c) somatic and information-processing symptoms as distinct yet closely related constructs. Subsequent bifactor modelling supported a general distress factor which accounted for the communality of the depression and anxiety items. Specific factors for hopelessness-suicidal thoughts and restlessness-fatigue indicated distinct psychopathological constructs which account for unique information over and above the general distress factor. The general distress factor and the hopelessness-suicidal factor were more severe in females but the restlessness-fatigue factor worse in males. Measurement precision of the general distress factor was higher and spanned a wider range of the population than any of the three first-order factors. Conclusions The general distress factor provides the most reliable target for epidemiological analysis but specific factors may help to refine valid phenotype dimensions for aetiological research and assist in prognostic modelling of future psychiatric episodes.

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A total of 2538 quarter milk samples from 638 lactating dairy cows from 47 farms in the canton of Bern, Switzerland, were investigated for streptococci. A novel, simple and inexpensive laboratory method was used for the differentiation of Streptococcus species, and a risk factor analysis was carried out. The prevalence in the quarter milk samples was 0.2 per cent for Streptococcus agalactiae, 1.3 per cent for Streptococcus uberis, 1.3 per cent for Streptococcus dysgalactiae, 0.1 per cent for Enterococcus species and 2.9 per cent for minor Streptococcus species (designated Streptococcus-Lactococcus-Enterococcus [SLE] group). Based on the somatic cell count (SCC), S uberis and S dysgalactiae were classified as 'major' pathogens and the bacteria in the SLE group as 'minor' pathogens. For S uberis, S dysgalactiae and bacteria in the SLE group, the most significant risk factor was an intramammary infection (IMI) of a neighbouring quarter by the same pathogen. Other significant risk factors for S uberis infection were a positive California Mastitis Test (CMT) result and a SCC of more than 100,000 cells/ml. Significant risk factors for IMI with S dysgalactiae were a positive CMT result, teat injury and palpable abnormalities in the udder. Infection with bacteria in the SLE group was significantly associated with a SCC of more than 100,000 cells/ml, a lactation number of more than 2, the right rear quarter (as the location of infection) and a positive CMT result.

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Objective: Hyperactivity, one of the core symptoms of ADHD, has been mostly neglected in neuropsychological assessment of childhood ADHD. The neuropsychological Quantified behavior Test (QbTest) separately assesses all three core symptoms of ADHD on a behavioral level. Factor structure of the QbTest and its concurrent and discriminant validity are presented. Method: An exploratory factor analysis (n = 828 children) was performed. In a second sample (n = 102 children) a Multi-Trait-Multi-Method (MTMM) approach was used for validity analyses. Results: A three factorial model explained 76 % of the total variance, with the resulting QbTest factors significantly influenced by age and gender. The MTMM approach yielded promising results for discriminant, yet inconsistent findings for concurrent validity between the QbTest and another attention test as well as for Conners' Parent and Teacher Rating Scales. Conclusion: Results indicate that the QbTest may be helpful for the behavioral assessment of childhood ADHD, yet further studies on its psychometric quality and clinical utility are needed. (J. of Att. Dis. 2012; XX(X) 1-XX).

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This study evaluated the five-factor measurement model of the abbreviated Multidimensional Observation Scale for Elderly Subjects (MOSES), originally proposed by Pruchno, Kleban, and Resch in 1988. Modifications of the five-factor model were examined and evaluated with regard to their practical significance. A confirmatory second-order factor analysis was performed to examine whether the correlations among the first-order factors were adequately accounted for by a global dysfunction factor. Findings indicated that the proposed measurement model was replicated adequately. Although post hoc modifications resulted in significant improvements in overall model fit, the minor parameters had only a trivial influence on the major parameters of the baseline model. Results from the second-order factor analysis showed that a global dysfunc tion factor accounted adequately for the intercorrelations among the first-order factors.

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This study examined compulsive-like behaviors (CLBs) which are higher-order types of Repetitive Behaviors And Restricted Interests (RBRIs) in typically developing children in Turkey. Caregivers of 1,204 children between 8 and 72 months were interviewed with Childhood Routines Inventory (CRI) by trained interviewers in a cross-sectional survey. Factor analysis of the CRI revealed two factor structures comprising "just right behaviors" and "repetitive/sensory sensitivity behaviors". CLB frequency peaked at 2-4 years with declines after age four. In contrast to the previous CRI studies reporting no gender difference, CLBs were more common in males in 12-23 and 48-59 month age groups on both total CLB frequency and repetitive/sensory sensitivity behaviors. Also ages of onsets for CRI items were somewhat later than reported in other samples. Our findings supported the findings of the previous CRI studies while also revealing new perspectives in need of further investigation.

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Studies using factor analysis have helped describe the organization of copulatory behavior in male rodents. However, the focus of these studies on a few traditional measures may have limited their results. To test this possibility, 74 sexually-experienced male hamsters were observed as they copulated with stimulus females. The measures collected exceeded the conventional ones in number, variety and independence. The factor analysis of these data revealed a structure with seven factors collectively accounting for 80% of the variance. Most resembled the factors in previous reports, reinforcing the contributions that the processes suggested by these factors make to the organization,of male behavior. But several other factors were more novel, possibly reflecting the use of measures that were novel or revised for greater independence. The most interesting of these were two factors focusing on early steps in the progression leading to ejaculation. Importantly, both incorporated measures from each of the three copulatory series that were observed. Past work suggests that independent processes control the times required to initiate copulation and later resume it after an ejaculation. In contrast, these results suggest the existence of two processes, each of which contributes to both the initiation and reinitiation of copulation. (C) 2014 Elsevier B.V. All rights reserved.