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Quantitative Analysis Quantitative Analysis provides data-driven analytical services for a range of business challenges, specializing in statistical models for site selection decisions. Quantitative Analysis can assist by applying advanced statistical analysis techniques to help you get more from your data, as well as external data sources. With Quantitative Analysis, you’ll find that even a modest investment in analysis can yield great returns in increased revenues, improved profits, and better understanding of the decision at hand. www.quantitativeanalysis.com   (143 words)

Qualitative Data Quantitative Analysis Scholars of social change have lots of longitudinal quantitative data available (the Gallup poll for the last 50 years, the Bureau of Labor Statistics surveys for the last couple of decades, baseball statistics for over a hundred years, to name a few well-studied data sets), but longitudinal text data are produced naturally all the time. In fact, in the phrases "qualitative data analysis" and "quantitative data analysis," it is impossible to tell if the adjectives "qualitative" and "quantitative" modify the simple noun "data" or the compound noun "data analysis." It turns out, of course, that both QDA phrases get used in both ways. Quantitative analysis involves reducing people (as observed directly or through their texts) to numbers, while qualitative analysis involves reducing people to words -- and your words, at that. www.analytictech.com /borgatti/qualqua.htm   (1694 words)

Quantitative Analysis Quantitative analysis is a process in analytical chemistry that involves measurement of results such as quantities of substances produced, not just the nature of the reactions that produce them. A quantitative analysis does identify core truths, but it does not necessarily describe a substance in a rich manner. All data is recorded in quantitative analysis as hard data — either the substance is X or it is not. www.iscid.org /encyclopedia/Quantitative_Analysis   (209 words)

Quantitative research - Wikipedia, the free encyclopedia Quantitative research is the systematic scientific investigation of quantitative properties and phenomena and their relationships. Quantitative research is widely used in both the natural and social sciences, from physics and biology to sociology and journalism. In the social sciences particularly, quantitative research is often contrasted with qualitative research, which is the examination, analysis and interpretation of observations for the purpose of discovering underlying meanings and patterns of relationships, including classifications of types of phenomena and entities, in a manner that does not involve mathematical models. en.wikipedia.org /wiki/Quantitative_research   (1401 words)

Quantitative analysis Analysis based on such data must always be preceded – and accompanied – by an assessment of the quality, strengths and weaknesses of the data. The quantitative analysis of poverty is particularly developed in terms of the monetary dimensions of poverty; poverty in this dimension is viewed as a situation of inadequate income or insufficient consumption relative to an appropriate norm or threshold (a poverty line). Quantitative analysis of poverty and deprivation though is not limited to monetary dimensions of living standards (e.g. www.chronicpoverty.org /CPToolbox/Quantitativeanalysis.htm   (1886 words)

Quantitative Data Analysis GAO reports using quantitative analysis usually include answers in the form of descriptive statistics such as the mean, a measure of central tendency, and the standard deviation, a measure of spread. Quantitative variables take several forms, frequently called levels of measurement, which affect the type of data analysis that is appropriate. Factors that determine an appropriate data analysis methodology include (1) the number of groups to be compared, (2) how cases for the groups were selected, (3) the measurement level of the variables, (4) the shape of the distributions, and (5) the type of comparison (measure of central tendency, measure of spread, and so on). www.ojp.usdoj.gov /BJA/evaluation/guide/documents/documentff.html   (17525 words)

Qualitative vs Quantitative   (Site not responding. Last check: 2007-10-19) Qualitative analysis allows for fine distinctions to be drawn because it is not necessary to shoehorn the data into a finite number of classifications. The main disadvantage of qualitative approaches to corpus analysis is that their findings can not be extended to wider populations with the same degree of certainty that quantitative analyses can. Thus, quantitative analysis allows us to discover which phenomena are likely to be genuine reflections of the behaviour of a language or variety, and which are merely chance occurences. bowland-files.lancs.ac.uk /monkey/ihe/linguistics/corpus3/3qual.htm   (606 words)

Quantitative analysis Summary Quantitative analysis involves measuring the proportions of known components in a mixture. The two chief classes of quantitative analysis, gravimetric and volumetric, were developed in the eighteenth and nineteenth centuries. Volumetric analysis was also developed in the eighteenth century, but its use in determining quantities of a substance in a mixture was limited until chemists reached a better understanding of solutions in the nineteenth century. www.bookrags.com /Quantitative_analysis   (626 words)

DECODON - Delta2D: Quantitative Analysis Define criteria that are consistent across the whole analysis project, such as: "Highlight the weakest 10% of all spots", or "Hide all except the strongest spots that account for 85% of the total quantity". Spot detection, quantitation, and matching are done in one step, using powerful image processing algorithms that are fine-tuned for reliability. Define criteria that are applicable across the whole analysis project, such as: "Highlight the weakest 10% of all spots" or "Hide all except the strongest spots that account for 85% of the total quantity". www.decodon.com /Solutions/Delta2D/quantitativeAnalysis.html   (598 words)

Arteology: Quantitative Analysis Notwithstanding the fact that correlation analysis is able to handle only two variables, it is an excellent tool for the initial analysis of a large number of variables, when you have no clear idea of their mutual relations. A drawback of the method of factor analysis is that it is too easy to use it for practically absurd but formally correct studies because the analysis always presents its results in an elegant, mathematically exact form, even when the factors obtained have no sensible empirical contents. If the analysis is made in the above fashion and only the utility values are considered, a final step in the analysis will be, for each alternative, to compare its total utility value (from the bottom line of the above table) to the price (or other input) of the same alternative. www.uiah.fi /projects/metodi/180.htm   (4436 words)

Quantitative Analysis Quantitative analysis can be performed by wavelength-dispersive spectrometry, energy-dispersive analysis, or a combination of both. Element valences and compound formula stoichiometry can be changed on a point-by-point basis during manual analysis, or after automated analysis can be changed and the results recalculated for all or selected groups of points off-line. Inverse relationships between analysis time and MDL or accuracy should be noted, such that decreased MDL and increased accuracy are accomplished by the use of longer counting times. research.ou.edu /microprobe/Quant.html   (1022 words)

Wheaton College: Norton, MA: Quantitative Analysis Program The expectation that ordinary citizens be quantitatively literate is primarily a phenomenon of the late twentieth century. In contrast to earlier times when quantitative thinking was reserved for scientific endeavors, numeracy is now essential for deep understanding of nearly all academic fields. With regards to quantitative analysis, the Kollett Center provides resources to faculty and students to further the goals stated in the introduction. www.wheatonma.edu /Kollett/quantitativeanalysis   (581 words)

NARPAC-RECENT ANALYSES-Quantitative Analysis for DC" There must be quantitative agreement on the revenue potential and costs to the city of various land uses and users, as well as the true costs of maintaining and expanding a suitable infrastructure. Such analysis requires substantial sophistication, and is by no means the exclusive or primary domain of budget accountants. It is both unwise and impossible to separate the analysis of socioeconomic and land-use issues. www.narpac.org /REXQUANT.HTM   (1585 words)

SQL Server Quantitative Performance Analysis #1 Quantitative models for the SQL Server internal query cost formulas and the true measured query costs for basic SQL operations are presented. Understanding the quantitative model for the cost formulas employed by SQL Server enables developers and administrators to know why a particular plan is chosen over another and why an index is used or not used. The benefit of a quantitative model is that we can predict which queries will cause performance issues from the execution plan and row count rather than only after extensive testing. www.sql-server-performance.com /jc_sql_server_quantative_analysis1.asp   (906 words)

Quantitative Analysis Software: Fundamental Parameters The purpose of XRF analysis with Fundamental Parameters (FP) is to convert elemental peak intensities to elemental concentrations and/or film thicknesses. The second step is to produce the sample analysis of a given material, using the previously stored calibration coefficients, and the FP algorithms given a definition of the sample (i.e., number of layers, and which elements are in which layers). The analysis can be performed for all elements from H through Fm, using K, L or M lines in the energy range from 0.1 keV up to 60 keV. www.amptek.com /fp.html   (1885 words)

Registration & Records - Course Catalog Methods of quantitative analysis based on solution chemistry, potentiometry, coulometry, chromatography, and molecular absorption and fluorescence spectroscopy. A quantitative introduction to inter- and intramolecular forces in gas and condensed phases. Structure, symmetry and chemical bonding; spectroscopic methods and their utilization in trace analysis and pollution control; phase equilibria, crystal growth and materials purification; vapor phase equilibria and kinetics of chemical reactions andtransport; electrochemical thermodynamics and kinetics with applications to batteries, solar cells, electrorefinement, plating and corrosion processes. www2.acs.ncsu.edu /reg_records/crs_cat/CH.html   (2369 words)

Quantitative Analysis Quantitative analysis can be done for a number of reasons such as measurement, performance evaluation or valuation of a financial instrument. Although quantitative analysis is a powerful tool for evaluating investments, it rarely tells a complete story without the help of its opposite - qualitative analysis. In financial circles, quantitative analysts are affectionately referred to as "quants", "quant jockeys" or "rocket scientists". www.investopedia.com /terms/q/quantitativeanalysis.asp   (391 words)

Chapter 1. Introduction to Quantitative Analysis The cost of an analysis usually goes up with the level of accuracy demanded so it is not surprising that the method may be a compromise between accuracy and economics. If the link was felt to be well-established and the analysis was a part of an ongoing monitoring program then one might concentrate on regions where high nutrients might be expected to be found throughout the year: industrial, agricultural and waste water outflows. If the purpose of the analysis was a part of a program to protect the fish population then the samples might be taken during only certain months. chemistry.csudh.edu /oliver/che230/textbook/intro01.htm   (1287 words)

quantitative analysis Definition The process of determining the value of a security by examining its numerical, measurable characteristics such as revenues, earnings, margins, and market share. Unlike fundamental analysis, technical analysis ignores the company underlying the stock and instead tries to predict price changes by studying the market itself. We examine technical analysis concepts like moving averages, support and resistance, advance/decline lines, relative strength, momentum, and volume. www.investorwords.com /4001/quantitative_analysis.html   (193 words)

Quantitative Analysis - Multicomponent Full-Spectrum Quantitation (FSQ™) Multicomponent Analysis system provides software for determining the concentrations of two or more components within a mixture using vector quantitation mathematics. As with the Single-Component Quantitative Analysis System, the Multicomponent Quantitative Analysis Software can be used with and control several sampling accessories: the Auto 6 Cell Holder, the Micro-Auto 6 Cell Holder, the Micro-Auto 12 Cell Holder, the Sipper Accessory, and a Batch Sampler. Quantitative Analysis of Complex Mixtures with Multicomponent Analysis by Full-Spectrum Quantitation (FSQ): Part 1: Principles of FSQ www.beckman.com /resourcecenter/labresources/uvvis/duapp02.asp   (299 words)

Quantitative Analysis Syllabus "Quantitative" means that most of the decisions that we will look at have numbers associated with them (an inescapable result of the fact that business decisions are usually associated with issues of goods and money). Students should be able to extract the relevant data from the business situation and to use the tools of decision analysis (including expected returns, risk aversion and decision trees) to help make good decisions in the face of risk or uncertainty. Students should be able to identify the appropriate qualitative or quantitative method for developing a forecast for the unknown values. home.apu.edu /~rconover/311F03SY.htm   (1861 words)

SEMINAR 14 - QUANTITATIVE ANALYSIS   (Site not responding. Last check: 2007-10-19) Historians who frequently use statistical data (and economic historians in particular) would argue that quantitative analysis is far more reliable than qualitative methods because they are dealing with information which can be analysed far more OBJECTIVELY than qualitative data. On the other hand, critics of quantitaive analysis would argue that by reducing historical data to mere mathematical forms we overlook the richness and complexity of qualitative data, and that statistics can easily be abused by those who have alterior motives. It is not possible to examine all aspects of quantitative analysis in one seminar, but in today’s class we will consider some of the basic principles which must be applied when using quantitaive data. hkuhist2.hku.hk /history/firstyear/seminar14.htm   (492 words)

Gas Chromatography: Quantitative Analysis For some samples the preparation can be the most time consuming and difficult part of the whole analysis. Details of sample preparation is the subject of Book 18 but an example of one of the more complex sample preparation methods will be given to illustrate some of the procedures that may be necessary. The adsorbent must be capable of removing the substances of interest from the liquid medium. www.chromatography-online.org /GC/Quantitative-Analysis/rs52.html   (293 words)

Quantitative Basin Analysis Karner and Driscoll have combined quantitative and isostatic basin modeling techniques with the principles of seismic sequence stratigraphy. The resulting technique employs both two-dimensional and three-dimensional kinematic and flexural models for the deformation of the lithosphere and sediment transport mechanisms. Quantitative Basin Analysis (QBA*) and provide a quantitative understanding of the interplay between tectonic deformation of the lithosphere, basin architecture, and the infill stratigraphy of the basin. www.ldeo.columbia.edu /karner/QBA.word.html   (779 words)

Quantitative Analysis - University of New Haven Topics include the analysis of variance, multiple regression, an introduction to the econometric model, times series analysis, chi-square and other nonparametric measures, and an introduction to robust estimation. Topics include data analysis, discrete and continuous probability distributions, statistical inference and estimation, regression and correlation analysis, the analysis of variance, decision theory and nonparametric tests including chi-square. Topics include the nature and concept of scientific problem solving, applied regression analysis and its limitations, multiple frequency analysis, profile analysis of repeated measures, canonical correlation analysis, discriminant analysis, cluster analysis, principal components analysis and factor analysis. www.newhaven.edu /show.asp?durki=152   (748 words)

QBA Quantitative Business Analysis Courses Implementation of quantitative techniques for the analysis of quality problems related to operations and process analysis. Quantitative approaches to decision making, including linear programming and simulation, with an emphasis on business applications. Quantitative decision analysis methods for business decision making under uncertainty, including decision diagrams, subjective probabilities, and preference assessment. www.asu.edu /aad/catalogs/fall_2000/qba.html   (242 words)

Quantitative Analysis - USDA Forest Service FHTET The Quantitative Analysis program's core mission is to develop and support tools that describe and analyze biological conditions and processes related to forest health. Elements of the program include statistical sampling design and analysis; experimental design and analysis; computer simulation of population dynamics and the interaction of insect and pathogens with forest vegetation conditions; and the impact of forest health conditions on resource values. The Quantitative Analysis program has interacted with the FVS Fire developers from that projects inception, and will be making efforts to find suitable opportunities to test the joint use of these models. www.fs.fed.us /foresthealth/technology/quant_ana.shtml   (394 words)

Quantitative Instrumental Analysis Determining the amounts of those compounds is cal led quantitative analysis. To begin analysis, we first must use an extraction technique in order to get the target analytes into an appropriate solvent. All sample analysis instruments have some means of detecting the presence of analytes. www.gmu.edu /departments/SRIF/tutorial/gcd/quant.htm   (1085 words)

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