Sentences with phrase «data analysis procedure»
He added that his impression was that the study was «an honest attempt to construct a data analysis procedure.»
https://www.nytimes.com/
We rotate the powerful Keck telescope, taking pictures in a time - lapsed sequence, and then apply an intensive mathematical data analysis procedure.
Spitzer's study is perhaps a case in point, but increasingly in this field we acknowledge we have a problem with flexible methodology, meaning that our data analysis procedures are so wishy - washy, it's possible to «prove» anything.
Linking research questions to mixed methods data analysis procedures.
Khourey - Bowers et al. (2005) and Keedy (1999) described several steps taken to strengthen the validity of the studies» findings, including the use of multiple forms of data collection to allow for triangulation in data analysis; they also provided detailed descriptions of the data analysis procedures.
Usual duties seen on a Finance Business Analyst resume include analyzing financial reports, presenting data to executives, making recommendations, predicting business activity, setting up financial data analysis procedures, and maintaining financial data security.
Not exact matches
In a later section, on demographic distribution analysis, the contract mentions the possibility for additional «targeted data collection procedures through multiple platforms» to be used — even including «brief phone scripts with single - trait questions» — in order to correct any skews that might be found once the Facebook data is matched with voter databases in each state, (and assuming any «data gaps» could not be «filled in from targeted online samples», as it also puts it).
Psychology of learning; social analysis of the societies in which students will work; statistical methods applied to the economic facts of ministers» salaries and the cost of tuition, and the like; and many other relatively precise procedures applied to limited data can give guidance to perplexed administrators that no amount of hard thought about the large question of man's life before God will yield.
In light of this discussion of presuppositional analysis, it is perhaps worth making one final point concerning the relation between such a second - order type of procedure and the foregoing discussion of the first - order procedure of presenting the data of experience as evidence.
Individual growth curve models were developed for multilevel analysis and specifically designed for exploring longitudinal data on individual changes over time.23 Using this approach, we applied the MIXED procedure in SAS (SAS Institute) to account for the random effects of repeated measurements.24 To specify the correct model for our individual growth curves, we compared a series of MIXED models by evaluating the difference in deviance between nested models.23 Both fixed quadratic and cubic MIXED models fit our data well, but we selected the fixed quadratic MIXED model because the addition of a cubic time term was not statistically significant based on a log - likelihood ratio test.
In an analysis of Medicare billing data submitted by more than 2,300 United States physicians, researchers have calculated the average number of surgical slices, or cuts, made during Mohs micrographic surgery (MMS), a procedure that progressively removes thin layers of cancerous skin tissue in a way that minimizes damage to healthy skin and the risks of leaving cancerous tissue behind.
To facilitate the resulting data analysis, the researchers in Bielefeld and their colleagues in this project applied a completely new procedure that sorts the single chromosomes of the genome.
Further research topics are statistical / computational methods to study complex experimental data (e.g. cellular genealogies) and image analysis procedures (e.g. model - based segmentation algorithms in the context of automatic single cell tracking).
Research on vaccine biomarkers, including in - depth comparative analysis of data from different platforms, large - scale RNA sequencing, harmonisation of standard operating procedures (SOPs) for sample, microarray and data analysis, as well as transcriptome mapping (more than 1400 samples analysed).
This study utilizes third - party data collection and analysis procedures to enable an independent consideration of the benefits and risks of personal genomic testing.
Through the adoption of standardized procedures and pipelines, and the usage of quality control measures and cross-validation, our shared goal is to produce high - quality data that will not only function as a scientific reference catalog, but will also enable comprehensive meta - analyses that could uncover otherwise hidden disease relationships and functional interactions.
To achieve its mission, the Project is developing a Bioinformatics Hub as an open - source, multidisciplinary effort with the overarching goal of providing an enabling infrastructure to support the data processing, analysis and knowledge extraction procedures required to translate high throughput, high complexity human immunology research data into biomedical knowledge, to determine the core principles driving specific and durable protective immune responses.
The SDSS website, http://www.sdss.org, provides links to the data, tutorials and examples of data access, and extensive documentation of the reduction and analysis procedures.
The abstract should be structured in accordance with the format: Introduction, which will include the objective or purpose of the research; Methodology, will include basic procedures (design, sample selection or cases, methods and techniques of experimentation or observation and analysis); Results, main findings (give specific datas and their statistical significance, when applicable) and Conclusions.
The investigation addresses an explicit question or topic by examining a defined and bounded data set, according to an articulated procedure for data analysis;
The validity of the finding that instructional support by teacher leaders, including lesson planning, positively impacted student learning was supported by the use of control groups (Balfanz et al., 2006; Ruby, 2006; Weaver & Dick, 2009), the use of multiple sources of data (Balfanz et al., 2006; Ruby, 2006) and the inclusion of detailed description of data collection and analysis procedures (Balfanz et al., 2006; Ruby, 2006; Weaver & Dick, 2009).
If I had the opportunity to meet with a new school administrator regarding implementing intensive interventions within their school or district, I would advise them to focus on four main components of a multi-tiered systems of support (MTSS): (1) establishing a student - focused culture in your building, (2) establishing efficient procedures for data collection and analysis, (3) establishing a strong core instructional program and (4) focusing on continuous improvement.
TXCC will provide technical assistance to TEA by helping develop the audit procedures, assisting with data analysis, identifying areas of duplication, and aiding in the design of the guidance document to school districts regarding high - quality professional development.
Security: Work that involves ensuring the confidentiality, integrity, and availability of systems, networks, and data through the planning, analysis, development, implementation, maintenance, and enhancement of information systems security programs, policies, procedures, and tools.
The links to the data sources, along with this and the Appendix permit someone to reproduce their procedure: In fact for some of the data sets, the annual cycle in temperature during the time span under analysis has changed noticeably relative to that during its baseline period.
The paper I'm writing with Dr. Pielke and others will make use of this better data, and we also use a different procedure for analysis than what NCDC used.
Whether linear or curvilinear correlations, and regardless of the regression method, or outlier elimination process for values in a data set + / - 3 s.d.'s from the mean, error analysis and going back to raw data are essential procedures.
This is why we decomposed the temperature data into a slow, non-linear trend line (shown here) and a stochastic component — a standard procedure that even makes it onto the cover picture of a data analysis textbook, as well as being described in a climate time series analysis textbook.
So in Chapter 3, drawing on standard social science content analysis procedures and the measures used by Boykoff, I provide the first reliable and valid data evaluating systematic patterns in mainstream coverage of the reality and causes of climate change for the key political period of 2009 and 2010.
Infact, the procedure of determining the behavior of such processes, a Statistical analytic process titled a «Time series» uses all data points that are collected within the method determined by the pre-procedure of «Experimental Design», made to facilitate the analysis in a manner of known (and best) correlation.
An analysis of worldwide data homogenization acknowledged that a procedure is needed to correct real errors but concluded
Such an assessment should involve a detailed analysis of the sensitivity of global - mean temperatures derived from these three different measurement systems to the various choices made in the processing of the raw data — e.g., corrections for instrument changes, adjustments for orbital decay effects in the satellite measurements, and procedures for interpolating station data onto grids.
An analysis of worldwide data homogenization acknowledged that a procedure is needed to correct real errors but concluded «Homogenization practices used until today are mainly statistical, not well justified by experiments and are rarely supported by metadata.
Goodman's analysis is important because it shows that the particular adjustment procedure affects estimates of periodicity in the data, where the data are both relatively recent and pertinent to the warming or not of the Earth Surface in the period most affected by anthropogenic CO2.
B. Standardization and Integration Procedures for Data Bankability: best practices for data collection and data integration analysis, including typical meteorological years (TMY) formData Bankability: best practices for data collection and data integration analysis, including typical meteorological years (TMY) formdata collection and data integration analysis, including typical meteorological years (TMY) formdata integration analysis, including typical meteorological years (TMY) formats.
And you AGW - «Skeptics» are the ones who want that the surface temperature analyses which use measurements from meteorological stations were all wrong, because of artefacts in the measured temperature raw data or because of artificially warming trends allegedly introduced by quality control and / or homogenizaton procedures.
9Because of the unbalanced nature of the data being analyzed (i.e., unequal numbers of observations for the different levels of the classification variables), the General Linear Models procedure in the Statistical Analysis System was used to perform the analyses.
If I understood VS correctly (don't be too harsh on me if not) there's a way to detect such behaviour in data by applying some time series analysis procedures.
Through analysis of the data captured in the dynamic questionnaires, the Court will be able to refine its processes to meet the needs of court users and develop modular court procedures.
The software will allow faster machine learning as it will place more processing speed on procedures, which involves analysis of big data, voice recognition, and photo identification.
In a later section, on demographic distribution analysis, the contract mentions the possibility for additional «targeted data collection procedures through multiple platforms» to be used — even including «brief phone scripts with single - trait questions» — in order to correct any skews that might be found once the Facebook data is matched with voter databases in each state, (and assuming any «data gaps» could not be «filled in from targeted online samples», as it also puts it).
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Responsible for handling all the duties and responsibilities of the management consultant position; provided support and assistance to the management department; conducted operational studies regarding the work procedure of the organization; supervised and supported the consulting team; handled problems and queries related to the management; responsible for daily operations like - research, data collection, conducting analysis, preparing reports and presentations, and so on
Developed, designed and implemented new methods, tools, techniques and equipment for data, systems procedures, and business process analysis.
Working as a management consultant and mainly responsible for providing advice and support to the management of the organization; analyze and develop plans and strategies for the business improvement; provide training to the management people; study organization strategies and monitor the systems and procedures; sometimes also handle the daily operations of the organization like - research, data collection, analysis of business operations and so on; responsible for solving costumers» problems
Well exposed to diesel engine data analysis / trending / reporting, logistics development, project planning, training support, test plan and procedure development
Created specialized SQL queries, view, functions, and procedures; utilized Crystal Reports to create custom reports - for reporting and advanced data analysis
The KSAs for a Wildlife Biologist are: knowledge of biological practices, techniques and procedures; Teamwork; Data analysis and research; and writing.
Handled huge data using arithmetical procedures such as multiple regression and dependability analysis.