Sentences with phrase «observational methods as»

What is unique about this work: (1) It is manualized, with training videos, (2) effects last upon 18 - month follow up after treatment termination, and (3) the intervention was evaluated with physiological and observational methods as well as archival police records.

Not exact matches

Given that transit timing is an unproved method for discovering exoplanets, Agol would like to see a signal - to - noise ratio much higher than that found by the European group as well as confirmation by another observational technique.
From the analyses of this newly derived relation and observational data of NGC 6791 and NGC 6819 we devise a method in which all stars in a cluster are regarded as one entity to determine the cluster distance modulus.
Methods: WGS of MRSA isolates sent to a regional microbiological laboratory was performed as part of a 12 - month prospective observational study.
Evaluations should not be based exclusively on test scores but should — as a new agreement in New York State affirms — use a combination of evaluation methods that include test scores and other observational methods.
THIS IS NOT A VALID METHOD FOR DIAGNOSING LEARNING DISABILITIES but it can serve as important observational tool when referring a child for professional services such as psychological testing, speech therapy, and / or occupational therapy.
Accordingly, even though their data for this part of this study come from one district, their findings are similar to others evidenced in the «Widget Effect» report; hence, there are still likely educational measurement (and validity) issues on both ends (i.e., with using such observational rubrics as part of America's reformed teacher evaluation systems and using survey methods to put into check these systems, overall).
His current research centers on the development of methods that support rigorous and efficient observational, quasi-experimental and experimental designs in education and social sciences with a specific focus on multilevel structures such as those commonly seen in schooling (e.g., students nested within schools).
As teacher educators and teachers, we are well aware of the importance of accountability for our students» literacy learning, and while we were convinced of our students» success based on observational and descriptive data from our pilot studies, we knew that a systematic study evaluating students» progress in reading, writing, discussion, and content learning — using experimental methods — would be potentially more convincing to others.
The display pits works Frank Auerbach, Lucian Freud and Euan Uglow — champions of the observational method — against inventive masterminds such as Francis Bacon, Peter Blake and Hew Locke.
Now, there's nothing wrong with making mistakes when pursuing an innovative observational method, but Spencer and Christy sat by for most of a decade allowing — indeed encouraging — the use of their data set as an icon for global warming skeptics.
Mike's work, like that of previous award winners, is diverse, and includes pioneering and highly cited work in time series analysis (an elegant use of Thomson's multitaper spectral analysis approach to detect spatiotemporal oscillations in the climate record and methods for smoothing temporal data), decadal climate variability (the term «Atlantic Multidecadal Oscillation» or «AMO» was coined by Mike in an interview with Science's Richard Kerr about a paper he had published with Tom Delworth of GFDL showing evidence in both climate model simulations and observational data for a 50 - 70 year oscillation in the climate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval Climate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measurements).
Whether you are gullible enough to accept the figures as accurate depends on how much credibility you put in the multitude of observational measurements taken by different methods over many decades by diverse groups of researchers that form a strong consilience of mutually supporting evidence for the validity of the estimates and the possible errors.
Progress in the longer term depends on identifying and correcting model biases, accumulating as complete a set of historic observations as possible, and developing improved methods of detection and correction of observational biases.»
Nic writes «Given Forster & Gregory's regression method and observational error assumptions, the error (and hence probability) distribution for the resulting slope coefficient estimate can be derived from frequentist statistical theory, as used in science for many years.»
Given Forster & Gregory's regression method and observational error assumptions, the error (and hence probability) distribution for the resulting slope coefficient estimate can be derived from frequentist statistical theory, as used in science for many years.
Each day, automated and semi-automated quality control systems identify observational errors using methods such as comparison with data from nearby sites.
NASA aknowledges that results from other eminent groups do not rank 2005 as the highest, and state «the ranking of individual years depends upon differences of only a few hundredths of a degree, which is finer than the accuracy that any method can achieve given observational limitations.»
The method for calculating the rank histograms in this study is the same as that described in AH10 and Y12, and involves constructing rank histograms for the gridded mean climatic state of the model ensembles for the present - day climate with respect to various observational data sets.
Thinking About Judges and Judicial Performance: Perspective of the Public and Court Users David Rottman and Tom Tyler, Onati Socio - Legal Series 4 (5)(2014) This article «describes and critiques existing judicial performance evaluation programs that incorporate procedural justice principles as a dimension for measuring quality through both survey and observational methods
Many of the scales demonstrated weak psychometrics in at least one of the following ways: (a) lack of psychometric data [i.e., reliability and / or validity; e.g., HFQ, MASC, PBS, Social Adjustment Scale - Self - Report (SAS - SR) and all perceived self - esteem and self - concept scales], (b) items that fall on more than one subscale (e.g., CBCL - 1991 version), (c) low alpha coefficients (e.g., below.60) for some subscales, which calls into question the utility of using these subscales in research and clinical work (e.g., HFQ, MMPI - A, CBCL - 1991 version, BASC, PSPCSAYC), (d) high correlations between subscales (e.g., PANAS - C), (e) lack of clarity regarding clinically - relevant cut - off scores, yielding high false positive and false negative rates (e.g., CES - D, CDI) and an inability to distinguish between minor (i.e., subclinical) and major (i.e., clinical) «cases» of a disorder (e.g., depression; CDI, BDI), (f) lack of correspondence between items and DSM criteria (e.g., CBCL - 1991 version, CDI, BDI, CES - D, (g) a factor structure that lacks clarity across studies (e.g., PSPCSAYC, CASI; although the factor structure is often difficult to assess in studies of pediatric populations, given the small sample sizes), (h) low inter-rater reliability for interview and observational methods (e.g., CGAS), (i) low correlations between respondents such as child, parent, teacher [e.g., BASC, PSPCSAYC, CSI, FSSC - R, SCARED, Connors Ratings Scales - Revised (CRS - R)-RSB-, (j) the inclusion of somatic or physical symptom items on mental health subscales (e.g., CBCL), which is a problem when conducting studies of children with pediatric physical conditions because physical symptoms may be a feature of the condition rather than an indicator of a mental health problem, (k) high correlations with measures of social desirability, which is particularly problematic for the self - related rating scales and for child - report scales more generally, and (l) content validity problems (e.g., the RCMAS is a measure of anxiety, but contains items that tap mood, attention, peer interactions, and impulsivity).
At ORI, work continued on the development of parent training methods as well as the development of measures of intervention outcome, such as child and family observational coding systems.
Early research examining overprotective and critical parenting focused on retrospective reports from adults with anxiety and depression, leading to potentially biased reports.12 More recently, researchers have used observational methods to assess parental overprotection and negativity.13 Observational methods however, are not without problems, as parents may behave more positively when being observed in a research laboratorobservational methods to assess parental overprotection and negativity.13 Observational methods however, are not without problems, as parents may behave more positively when being observed in a research laboratorObservational methods however, are not without problems, as parents may behave more positively when being observed in a research laboratory or at home.
It is also important to pay more attention to the ethnicity of coders in the mostly observational methods of attachment research, as there is evidence that coder ethnicity may influence scoring.
Thus, we used direct observational methods to examine differences in parenting related to race / ethnicity and marital status as contributors to adjustment and glycemic control in adolescents with T1D.
As such, common method variance can not be ruled out as an explanation for these significant findings (although findings for observational → questionnaire relations were consistent with those found for relations involving only observational dataAs such, common method variance can not be ruled out as an explanation for these significant findings (although findings for observational → questionnaire relations were consistent with those found for relations involving only observational dataas an explanation for these significant findings (although findings for observational → questionnaire relations were consistent with those found for relations involving only observational data).
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