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Tuesday, July 14, 2020 | History

1 edition of Methods of collecting and interpreting ground-water data found in the catalog.

Methods of collecting and interpreting ground-water data

Methods of collecting and interpreting ground-water data

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  • 40 Currently reading

Published by U.S. G.P.O. in Washington, D.C .
Written in English

    Subjects:
  • Groundwater.,
  • Wells.

  • Edition Notes

    Includes bibliographies.

    Statementcompiled by Ray Bentall.
    SeriesGeneral ground-water techniques, Geological Survey water-supply paper -- 1544-H
    ContributionsBentall, Ray., Geological Survey (U.S.)
    Classifications
    LC ClassificationsGB 1197.6 .M48 1963
    The Physical Object
    Paginationvi, 97 p. :
    Number of Pages97
    ID Numbers
    Open LibraryOL22968774M

    collection of comparable data of a known standard. Ultimately, this allows for greater confidence in the interpretation of any field based data. This guide does not cover the aspects of core sampling, geological grain size analysis, pore fluid extraction and analysis. The book is directly focused on tourism and leisure examples. A step-by-step guide takes students through the use of SPSS for Windows and an SPSS data file is included; end of chapter exercises test student understanding of the material; and numerous suggestions for further research activity direct the reader to additional sources.

    This chapter begins with an overview of the National Children’s Study (NCS) design. It then describes, critiques, and makes recommendations on sampling design and data collection plans and their impact on quality control and response burden. Finally, data analysis and dissemination plans developed for the NCS are described and recommendations provided for improvement. Orgad, Shani. "How Can Researchers Make Sense of the Issues Involved in Collecting and Interpreting Online and Offline Data?." In Internet Inquiry: Conversations About Method, edited by Annette N. Markham and Nancy K. Baym, Thousand Oaks, CA: SAGE Publications, Inc., doi: /n4.

    several distinctly different methods that can be used to collect data. As with most research design techniques, each method has advantages and limitations. Perhaps the most interesting and challenging of these is the method of observation. (In a sense, all of behavioral research is based upon observation. You have a good range of qualitative data analysis methods to choose from, in order to achieve the main purpose of qualitative analysis – to explain, understand, and interpret data. There are many software solutions (such as ) designed to assist you with the analysis of qualitative data.


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Methods of collecting and interpreting ground-water data Download PDF EPUB FB2

METHODS OF COLLECTING & INTERPRETING GROUND-WATER DATA, GENERAL TECHNIQUES [Bentall, R.(ed.)] on *FREE* shipping on qualifying offers. METHODS OF COLLECTING & INTERPRETING GROUND-WATER DATA, GENERAL TECHNIQUESAuthor: R.(ed.) Bentall.

Get this from a library. Methods of collecting and interpreting ground-water data. [Ray Bentall; Geological Survey (U.S.); United States. Department of the Interior.;]. Because ground water is hidden from view, ancient man could only theorize as to its sources of replenishment and its behavior.

His theories held sway until the latter part of the 17th century, which marked the first experimental work to determine the source and movement of ground water. Thus founded, the science of ground-water hydrology grew slowly and not until the 19th century is there.

Get this from a library. Methods of collecting and interpreting ground-water data. [Ray Bentall; Geological Survey (U.S.),]. Groundwater Data Collection and Interpretation The course intends to train participants up to the level that data collection and monitoring tasks can be individually performed.

It will provide the principles of groundwater data collection and monitoring and the use of software to. Methods of Collecting and Interpreting Ground-Water Data Compiled by RAY BENTALL GENERAL GROUND-WATER TECHNIQUES GEOLOGICAL SURVEY WATER-SUPPLY PAPER H A collection of reports prepared by Peter R.

Stevens, Edward A. Moulder', Mervin L. Klug, Gordon E. Andrea- son, Joseph fF. Brookhart, Robert IF. data collection methods must observe the ethical principles of research.

The qualitative methods most commonly used in evalua tion can be classified in three broad cate gories. There are various data interpretation methods one can use. The interpretation of data is designed to help people make sense of numerical data that has been collected, analyzed and presented.

Having a baseline method (or methods) for interpreting data will provide your analyst teams a structure and consistent foundation. The qualitative research methods of data collection does not involve the collection of data that involves numbers or a need to be deduced through a mathematical calculation, rather it is based on the non-quantifiable elements like the feeling or emotion of the researcher.

It will provide the principles of groundwater data collection and monitoring and the use of software to process and analyse the information. The Groundwater Data Collection and Interpretation short course is offered by IHE Delft Institute for Water Education. Learning objectives Upon completion, the participant should be able to.

I argue that this position has important implications for qualitative research, including qualitative data collection.

In this chapter, I provide a brief introduction to realism, and then discuss how this approach can inform the theory and practice of qualitative data collection. Interpretation also extends beyond the data of the study to include the results of other research, theory and hypotheses. Thus, interpretation is the devise through which the factors that seem to explain what has been observed by researchers in the course of the study can be better understood and it also provides a theoretical conception which.

Data that define the physical framework of the groundwater basin Data that describe its hydrological stress These two sets of data are then used to assess a groundwater balance of the basin.

The separate items of each set are listed below. Physical framework Hydrological stress 1. Topography 1. Water table elevation 2.

Additionally, having completed their data collection, online researchers find they have many types of materials to organize, analyze, and interpret. With the advent of numerous software packages for qualitative analysis, researchers also must decide which steps of the process to do by hand and which to carry out with the help of technology.

data generation and collection, ana lysis of data, quality and rigour, and the interpretation of f indings. However, Cres well () use s the te rm “ research. Water Quality Data emphasizes the interpretation of a water analysis or a group of analyses, with major applications on ground-water pollution or contaminant transport.

A companion computer program aids in obtaining accurate, reproducible results, and alleviates some of. The course intends to train participants up to the level that data collection and monitoring tasks can be individually performed. It will provide the principles of groundwater data collection and monitoring and the use of software to process and analyse the information.

This book is the third of three paperback volumes taken from The SAGE Handbook of Qualitative Research, Fourth Edition.

It introduces the researcher to basic methods of gathering, analyzing and interpreting qualitative empirical s: 4. 64– –DESIGNING AND CONDUCTING MIXED METHODS RESEARCH Level 3: QUAN data collection, analysis, results Level 2: QUAL data collection, analysis, results Level 1: QUAN data collection, analysis, results Overall interpretation (e) Triangulation Design: Multilevel Model Figure The Triangulation Design.

CHAPTER 6: DATA ANALYSIS AND INTERPRETATION The results of qualitative data analysis guide subsequent data collection, and analysis is thus a less-distinct final stage of the research process than quantitative analysis, where data analysis does not begin until all data have been collected and condensed into numbers.

2. Information to obtain when planning water-quality data-collection activities. 10 3. Equipment, supplies, and suppliers for ground-water-quality sampling for the National Water-Quality Assessment Program.

11 4. Example of a method to determine pump-system suitability as a function. Collecting and Interpreting Qualitative Materials, Fourth Edition introduces the researcher to basic methods of gathering, analyzing and interpreting qualitative empirical materials.

Part 1 moves from narrative inquiry, to critical arts-based inquiry, to oral history, observations, visual methodologies, and autoethnographic methods.Conclusion.

The types of data analysis methods are just a part of the whole data management picture that also includes data architecture and modeling, data collection tools, data collection methods, warehousing, data visualization types, data security, data quality metrics and management, data mapping and integration, business intelligence, etc.

What type of data analysis to use?