Sentences with phrase «data observation methods»

Not exact matches

This type of qualitative interviewing method, while still unstructured, can be used to validate theoretical reasons that may come from observations and customer data.

It appears likely that scientific psychology will eventually fulfill its promise as the culminating natural science of man and that this will occur when the essential data of critical self - awareness are integrated with the methods of objective behavioral observation and inference.

At the Nature Museum, we use two methods to collect data on exhibit usage - observation and interviews.

But thanks to a host of ingenious analytic techniques and observation methods developed on the fly, with each new pass through Kepler's data mission scientists have managed to wring out ever - smaller planets.

The research team used GPS and accelerometer data loggers deployed on cheetahs, along with traditional observation methods.

Timothy Morton, lead author of the study and a Princeton associate research scholar of astrophysical sciences, developed Vespa because the vast amount of data Kepler has gathered since its 2009 launch has made the traditional method of confirming planets by direct ground - based follow - up observation untenable, he said.

Previous methods for performing this type of tuning have either required extensive manual labor, or a large amount of very accurate observation data, which has limited the applicability of these models until now,» Doctoral student Antti Kangasrääsiö from Aalto University explains.

To confirm their observations, Lim applied further data analysis methods to tally the amount of bursting that they saw in the videos.

They learnt the analysis method of observation data, as well as the star formation theories and the mechanism of an interferometer through lectures, discussions and journal reading.

We both believe that classroom observation can be a useful method of generating these data, especially when it is deployed as an improvement as well as an evaluation measure.

Resources include 10 - 12 lessons covering introduction to research methods, reliability and validity, sampling and questionnaires, experiments, the research process, focus groups and interviews, participant and non-participant observation, secondary data, longitudinal and case studies plus research methods revision bundle.

Bundle of Research Methods revision resources, including questionnaires, secondary data, interviews, observations etc..

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.

Since we are mainly dealing with qualitative research data collection methods (e.g., interviewing, observation notes, reflections), I will provide suggestions that fit that type of data.

They cherry - picked (if you'll pardon the expression) their method to ensure that the positive results for vouchers wouldn't achieve statistical significance, as was established pretty convincingly not only by Howell and Peterson's devastating response in Ed Next but also by Caroline Hoxby's observations in an NBER paper on their manipulation of the definition of race — Krueger and Zhu use a definition of race that is not currently used by the Census, NCES, or anyone else I know of, and that doesn't accurately reflect the way children really identify themselves by race — and they applied it selectively to only some of the students in the data set, not all of them.

Research methods included routine and repeated observation of reading instruction, survey and interview data regarding classroom practices, and teacher - submitted time logs detailing reading instruction.

Students will use observation and analysis to determine the methods, data, tools, and information used in forecasts of the weather by creating a graphic organizer (webbing).

Through the nonfiction title, «What a Scientist Sees,» students will learn about scientific observation and research, the scientific method, tools of a scientist, data collection, patterns and comparisons, and more.

Data collection methods included observations, surveys, interviews, focus groups, and document analysis.

As the leader of teacher - driven observation, the observed teacher selects the data - collection methods observers will use.

Data - gathering methods focused singularly on students, and included focus groups, written surveys, individual interviews, small group interviews, interviews anchored by classroom observation, videotaping, audiotaping, and note taking.

An interdisciplinary research team used multiple methods of data collection and analysis, including an examination of public opinion polls; a media scan; observations and interviews with a broad range of actors.

Mathematical Intimidation: Our society tends to value «hard» data — data based on numerical measurements — over «soft» data — data based on observation and other methods — even though both kinds of data have limitations.

For instance, while primary quantitative data contain such methods as self - completion questionnaires, structured questionnaires and structured observations; the qualitative data collection methods, on the other hand, comprise of methods like in - depth interviews, focus groups and participant observation.

Some of them are optimal fingerprint detection studies (estimating the magnitude of fingerprints for different external forcing factors in observations, and determining how likely such patterns could have occurred in observations by chance, and how likely they could be confused with climate response to other influences, using a statistically optimal metric), some of them use simpler methods, such as comparisons between data and climate model simulations with and without greenhouse gas increases / anthropogenic forcing, and some are even based only on observations.

Gridding sparse ocean observations onto a very high (in this case, 1 - by - 1 degree latitude x longitude) resolution is prone to producing some apparent structures that are simply artifacts of mathematical interpolation, even when isopycnal methods are utilised (this is common for gridding of data).

# 57, RE small numbers, I'm no climate scientist, but I do know statisticians have methods, such as Chi - square and log - linear analysis (based on odds ratios), that are quite successful on data sets with small numbers of observations.

A series of sensitivity tests show that our detection results are robust to observational data coverage change, interpolation methods, influence of natural climate variability on observations, and different model sampling (see Supplementary Information).

We describe the methods used to digitize and quality control the data, and show that 3.5 % of the observations required correction or removal, similar to other data rescue projects.

Unique to the field of AGW I have provided testable daily forecast results for a six year period, after observation and ongoing study of the original data sorting program, I am going to make revisions to upgrade the software to compensate for problems found in the original method I used to generate these maps.

He is in particular interested in how to optimize observational data usage in polar areas through model improvements, data assimilation method development and with novel observations.

«Major improvements include updated and substantially more complete input data from the ICOADS Release 2.5, revised Empirical Orthogonal Teleconnections (EOTs) and EOT acceptance criterion, updated sea surface temperature (SST) quality control procedures, revised SST anomaly (SSTA) evaluation methods, revised low - frequency data filing in data sparse regions using nearby available observations, updated bias adjustments of ship SSTs using Hadley Nighttime Marine Air Temperature version 2 (HadNMAT2), and buoy SST bias adjustments not previously made in v3b.»

A scientific method consists of the collection of data through observation and experimentation, and the formulation and testing of hypotheses.

Structural uncertainty is attenuated when convergent results are obtained from a variety of different models using different methods, and also when results rely more on direct observations (data) rather than on calculations.

The method is a sea ice - ocean model ensemble run (without and with assimilation of sea - ice / ocean observations); the coupled ice - ocean model NAOSIM has been forced with atmospheric surface data from January 1948 to 7 July 2015.

There are several factors that are important in monitoring global or U.S. temperature: quality of raw observations, length of record of observations, and the analysis methods used to transform raw data into reliable climate data records by removing existing biases from the data.

Using statistical methods, scientists can summarize data, identify patterns, and account for uncertainty in observations.

However, the preliminary analysis includes only a very small subset (2 %) of randomly chosen data, and does not include any method for correcting for biases such as the urban heat island effect, the time of observation, or other potentially influential biases.»

In no way is this comparable to the manufacture of data where no measurements have been taken or the substitution of one measured variable (daily mean land air temperature) with another (instantaneous SST observations) whose sampling method varies, is exceedingly uneven geographically, and no credible, alias - free time - series can be obtained.

IGBP will continue many of its successful approaches to implementation from its first phase including: building research networks to tackle focused scientific questions; promoting standard methods; undertaking long timeseries observations; guiding and facilitating construction of global databases; establishing common data policies to promote data sharing; undertaking model inter-comparisons and comparisons with data; and coordinating complex, multi-national field campaigns and experiments.

This included taking in submissions and presentations from the scientists developing ACORN - SAT, as well as an examination of the Bureau's observations practices, station selection methodology, data homogenisation, data analysis methods and communication.

My speculation is that it started as a study to show that by applying the same methods used in observation studies to the GISS - ER - 2 data, you got the wrong answer for sensitivity.

This task has become easier over the last decade with the development of advanced methods of Data Assimilation commonly used in atmospheric sciences to optimally combine a short forecast with the latest meteorological observations in order to create accurate initial conditions for weather forecasts generated several times a day by the National Weather Services (e.g., [194,195,196,197,198]-RRB-.

Quite egalitarian, so in fact contrarians, scientists who hold ideas outside of the mainstream can prosper provided their ideas have some factual basis and use the scientific method (Scientific method: based on existing obervations pose an hypothesis; using new observations or experiments, test the predictions of that hypothesis; on the basis of the new data either reject the hypothesis or modify it to fit the better understanding, or accept that the initial hypothesis was right at which point it becomes a «theory» or explanatory model).

To address these gaps, researchers have begun to integrate satellite - derived data with coupled physical - biogeochemical models, using a method that obtains more realistic estimates by constraining the output to fit the observations.

Inhomogeneities in the data arise mainly due to changes in instruments, exposure, station location (elevation, position), ship height, observation time, urbanization effects, and the method used to calculate averages.

Their duties involve resolving management problems, conducting on - site observation to determine necessary equipment, recommending new procedures, suggesting alternative methods, and analyzing business performance data.

HIGHLIGHTS OF QUALIFICATIONS • Over 3 years of experience in anthropology field • Demonstrated ability to plan research projects to answer questions and test hypotheses in relation to humans • Highly skilled in collecting information from observations, interviews, and documents • Able to develop data collection methods tailored to a particular specialty, project, or culture • Well versed in recording and managing records of observations taken in the field

Used properly, data obtained via methods including, but not limited to, third party references, historical records, interviews and direct observations should help assure that conclusions are reached only when there is data convergence.

Studies in English language were selected if they were controlled trials (crossover or parallel groups) comparing stimulants with placebo, were published in peer reviewed scientific journals, reported quantitative data on independent effects for aggression related behaviours, used a rating scale or method of observation to assess aggression related behaviours, and included children or youth (mean age < 18 y) with ADHD.