What Is Data Collection

Introduction for data in research:

Data is known as information, which is information gathered from some of issues. Statistics research is deals with gathering the data, analyzing the data and making inferences from that datas. Sampling is the results from this method of data gathering. Statistical research has so many types of datas. Here we are going to explain about those types of datas in research.

Data Types in Research:

In statistical research, data is defined as, getting information form some one from something about. That information is known as data. In research process the information or data are collected from regular basis like survey and administrative sources. In this data to be edited, imputed, used and aggregated in production of officials from statistics researches.

There are 2 main types of datas are used in research, there are,

Quantitative data, and
Qualitative data.
These two datas having so many types of subordinates. Here we are discussing briefly about that various data types used in the research process.

Explanation of Types of Data in Research:

1. Quantitative data types:

The quantitative data is the data, which can be measured easily and recorded from numerical method form. This is used in mainly educational sides.
For examples: Exam results, attendance registers, fees payment details.

This quantitative data is gathered from conducting tests.
And this data is expressed as using the percentages for actual numbers.
This is one of the primary data types. Those are explained given below:
A). Data collection through investigation:

In this method, the researcher will collect the information from asking required questions from the individual persons.

B). Personal investigation methods:

In this method the researcher or the data collector has conducted the survey and collecting data. This method we have to collect more accurate data and original data. This method is useful for small data collection only not big collection of data projects in research.

C). Data collection through telephones:

The data researches collect the information or data through the telephones and mobiles. It is accurate and very quick process for data collection.

2. Qualitative data:

Qualitative data is information, which is represented by the information getting through the collection from directly. It could be data in gender, birth date, place, nationality, and so on.

This qualitative datas are represented in numbers or percentages with statements.

Examples: In Anna University 26% of students are come from other states.

Sampling data:

Sampling is the results from this method of data gathering. The sampling data is the very important types in research data types. Some times it is possible for we have to include anything in the research.

The sample data is represented by order of the research validity.

A). Official research methods:

This is the methods of data collecting research from the ministry of finance, Agriculture, Industry and etc

B). Semi official:

This is the method of data collection of information from, Railways, banks, Committees and etc

These types of data in research are official methods. These all are the various types of data in research.

Frequently Asked Questions

  1. QUESTION:
    Explain what it means to do "Data Collection?

    • ANSWER:
      Data collection is a term used to describe a process of preparing and collecting data, for example, as part of a process improvement or similar project. The purpose of data collection is to obtain information to keep on record, to make decisions about important issues, to pass information on to others. Primarily, data are collected to provide information regarding a specific topic.

      A formal data collection process is necessary as it ensures that data gathered are both defined and accurate and that subsequent decisions based on arguments embodied in the findings are valid. The process provides both a baseline from which to measure from and in certain cases a target on what to improve.

      Other main types of collection include census, sample survey, and administrative by-product and each with their respective advantages and disadvantages. A census refers to data collection about everyone or everything in a group or population and has advantages, such as accuracy and detail and disadvantages, such as cost and time. A sample survey is a data collection method that includes only part of the total population and has advantages, such as cost and time and disadvantages, such as accuracy and detail. Administrative by-product data are collected as a byproduct of an organization's day-to-day operations and has advantages, such as accuracy, time simplicity and disadvantages, such as no flexibility and lack of control.

  2. QUESTION:
    What is Data Mining and Data WareHousing?.?

    • ANSWER:
      A data warehouse is a collection of historical data, integrated ahnd summarised, and designed for querying and analysis. Transcational systems are meant for capturing and recording routine transactions. The databases around which these systems are constructed are designed in a way to reduce the time to capture information. The database design therefore focuses on reducing repeatative information of redundance by applying the rules of normalisation. Though this design process facilitates data capture, it however makes it difficult to query and analyse the data. Take for example the database of a supermarket that captures every single transaction made at the billing counter. Now using this database, if one wanted to compare the amount of bread John Doe bought in Jan 2005 and Jan 2006, it will pose several challenges. First, the query will have to locate Jan 2005, locate the days when John Doe bought bread and then add the quantities. It has then repeat the same thing for 2006 and then present the results. Since the size of the database is is likely to be large, this will result in a large response time.

      Data Warehousing solves this problem by pulling out the data from the transaction database, summarising it , and then loading it into a seperate database. The resultant database follows a design structure, where redundancy or repetition is selectively brought in in order to facilitate querying. Normally business data can be categorised as either FACT , which are values such as quantity, cost , price etc. and DIMENSION, which are categories such as product, location or months across which the values are measured (eg. product wise quantity, monthly sales etc.). The datawarehouse is designed by loading summary values in FACT tables and linking these to DIMENSION tables in a way that facilitates querying. So taking our earlier example, while requesting the summary values of bread purchase by John Doe, no calculation is required, because these values would have been already summarised and placed in the FACT tables.

      Data Mining is a set of techniques that includes machine learning algorithms that are used for locating hidden patterns in data and predicting future events. Data Mining is used for answering questions such as "who are the customers who are likely to leave my service next month ? " or "if somebody buys bread and vegetables from my store what else is he likely to buy ?". In Data Mining an algorithm is used on the old data to build a "model" that understands and incorprates the patterns in the data. This model is used later to predict the future by using it on a new set of data. Data Mining techniques include algorthms such as Neural Networks, Kohonen nets, C5, Classification & Regression Tree (CRT), CARMA and APRIORI. The market leading tools of Data Mining are IBM's i-Miner, SAS' e-Miner and SPSS' Clementine.

  3. QUESTION:
    Does data collection mean methodology?
    Hi, I just wanted to know if methodology is just another word for data collection and vice versa.
    OR are they 2 totally different meanings?
    thanks

    • ANSWER:
      data collection

      Systematic gathering of data for a particular purpose from various sources, including questionnaires, interviews, observation, existing records, and electronic devices.

      http://www.medicaldictionaryweb.com/Data+Collection-definition/

      methodology

      1. organizing system: the methods or organizing principles underlying a particular art, science, or other area of study

      2. study of organizing principles: in philosophy, the study of organizing principles and underlying rules

      3. study of research methods: the study of methods of research

      http://encarta.msn.com/encnet/features/dictionary/DictionaryResults.aspx?refid=1861629601

      http://www.answers.com/topic/methodology

      The two are different.

  4. QUESTION:
    Advantages and disadvantages of Primary data collection methods???

    • ANSWER:
      Primary data collection methos is the best source of information method. Always good for the survey.
      Advantages
      1. Basic data
      2. Un biased information
      3. Original data
      4. Data from the primary market/ population
      5. Data direct from the population.

      Dis advantages.
      1. Large volume of data.
      2. Huge volume of population.
      3. Time consuming
      4. Direct and personal intervention has to be there.
      5. Raw data.

      Lot more of advatages and dis advantages are there, shall let you know later.

  5. QUESTION:
    secondary data collections?

    • ANSWER:
      Primary data is the data which is collected by the researcher directly from his own observations and experiences. For example, if the researcher conducts a survey for the collected of data then it is known as primary data. There are various sources of secondary data like research papers, periodicals, encyclopedias, published researches, database companies etc. The four major sources of secondary data collections include International Data source, which provides data related to economics and politics. Secondly, ICPSR, which is an active social science research organization. Third source is Integrated Public use of microdata series which provides data about different countries and Bureau of labor statistics, which gives data related with employment, industrial relations, prices etc.

      Basically, secondary data is primary data collected and organized for a specific purpose such as a scientific publication, or resale by a company, or for use by dues paying members of an organization.

  6. QUESTION:
    Sampling versus survey (method of data collection)?
    Hi,
    In a study of Americans' approval rating for the president a sampling can be used to collect data. Is a sampling of data the same as using a survey for data collection? (In other words, can a survey be used on a sample of Americans' to determine the president's approval rating) Thank you!!

    • ANSWER:
      "Sampling" means selecting a representative sub-set of the population, by some method. Here the statistical population is the population of the US (preferably the VOTING population if you are concerned with how the President will do in the next election). eg Your method of sampling might be to select the first 100 adults you meet in Central Park on Sunday afternoon.

      "Surveying" is a method of collecting data from a sample by asking questions; it is not a method of obtaining a sample. Other methods of collecting data include tagging (eg to record movement of animals between locations), measuring (eg height or weight) and calculating (eg the value of a mathematical function for various inputs). Surveying can be done at the same time as sampling (perhaps that is what confuses you), as when you stop people in Central Park to collect data about their opinion of the President and his policies.

      So sampling and surveying are not the same, and YES, you could use a survey on the members of your sample to predict or estimate (not determine) the President's approval rating among the whole population.

  7. QUESTION:
    what is prilimary data collection strategy for ? ?
    what can be the prilimary data collection strategy for testing student's stress level and motivational level.

    how can i do this?

    thank you for your help

    • ANSWER:
      A preliminary data collection strategy is a plan for collecting the information and facts you need for your project/study the helps you confine the collection to the type of data you need to collect.
      It is preliminary, because you can modify it as needed as you proceed to collect.
      How? Figure out what you are researching exactly. Then figure out what kind of data you need, all types.
      For your testing, you need to develop questions that MEASURE stress levels and motivation.

  8. QUESTION:
    what are the methods of data collection?
    how is it done? what are the advantages? disadvantages?

    • ANSWER:
      At first, you need to know what data you need and for what data you aim. Then you identify your aim group so that would mean you will have your target area or group of people, who's answers are relevant to your research.

      After that you can do surveys. For example on the internet through email processing or forms on the pages. After each survey filled, you will receive the data you need.
      -Advantage: you can ask many many people at the same time
      -Disadvantage: you may not receive enough data because people won't fill your questionnaire

      Then it is personal asking. You just go to streets and ask people questions.
      -Advantage: you ask personally and you are sure to receive answer. Plus you are sure that the responder surely belongs to the target group.
      -Disadvantage: time consuming, may not receive enough answers

      Next is creating a test group. This is a bunch of people who you ask to participate in your research so they will know what they are about to go through.
      -Advantages: you have people who are ready to give you data you need and they are all participating on their free will
      -Disadvantage: time consuming, lasts long before the group is assembled

      You can then gather information from general statistics and make them more accurate by comparing to few different researches. Remember that the research should be on the same topic.
      -Advantage: the researches have been already done, have something to compare with
      -Disadvantage: The data may be obsolete

      Hope I helped you ;)

  9. QUESTION:
    What is big data? and is hadoop is the only toll to handle bigdata problems?
    What is big data? and is hadoop is the only toll to handle bigdata problems??

    • ANSWER:
      As the name suggests big data is all about handling large amounts of data. Big data is used to describe large collections of data it may be structured, unstructured and grow so large and quickly that is difficult to manage with regular database and statistics tools.
      Here is a bit about bytes of data ,

      1 bit = binary digit
      8 bits = 1 byte
      1000 bytes = 1 kilo byte
      1000 kilobytes = 1 megabyte
      1000 megabytes = 1 gigabyte
      1000 gigabytes = 1 tera byte
      1000 tera bytes = 1 peta byte
      1000 peta bytes = 1 exa byte
      1000 exa bytes = 1 zetta byte
      1000 zettabytes = 1 yottabyte
      1000 yottabytes = 1 brontobyte
      1000 brontobytes = 1 geopbyte

      Data grows like this day by day.

      for example facebook used 10 terabytes of data each day and twitter used 7 tera bytes of data every day in 2011 interestingly 80% of these data are unstructured. This count increases every year and inorder to store and analyze such large data reliable & efficient hardware and software are needed.

      So if we have to derive details about structured and unstructured data RDBMS cannot hold for such large collection of unstructured data.

      Hadoop is not a replacement for RDBMS

      hadoop is one such tool that offers much reliability of storage throuh Hadoop Distributed file system (HDFS) through several replications and efficient analysis through Map reduce (Programming model).

      Hadoops framework is writtten in java and its originally invented by dough cutting, hadoop is not suitable for online transaction processing and online analytical processing.

      Apart from hadoop google uses mapreduce framework through a different file system named google file system.

      presently hadoop is being promoted by yahoo.

      Several projects that integrate with Hadoop have been released from the Apache incubator and are designed for certain use cases:
      Pig, developed at Yahoo, is a high-level scripting language for working with big data and Hive is a SQL-like query language for big data in a warehouse configuration.

      HBase, developed at Facebook, is a column-oriented database often used as a datastore on which MapReduce jobs can be executed.

      ZooKeeper and Chukwa

      Mahout is a library for scalable machine learning, part of which can use Hadoop.

      Cascading (Chris Wensel), Oozie (Yahoo) and Azkaban (LinkedIn) provide MapReduce job workflows and scheduling.

      Unlike hadoop there are several others such as ,

      BashReduce

      Unlike Hadoop, BashReduce is just a script! BashReduce implements MapReduce for standard Unix commands such as sort, awk, grep, join etc. It supports mapping/partitioning, reducing, and merging.

      Disco Project

      Disco was initially developed by Nokia Research and has been around silently for a few years. Developers write MapReduce jobs in simple, beautiful Python. Disco s backend is written in Erlang, a scalable functional language with built-in support for concurrency, fault tolerance and distribution perfect for a MapReduce system! Similar to Hadoop, Disco distributes and replicates data, but it does not use its own file system. Disco also has efficient job scheduling features.

      Spark

      Spark is one of the newest players in the MapReduce field. Its purpose is to make data analytics fast to write, and fast to run. Unlike many MapReduce systems, Spark allows in-memory querying of data (even distributed across machines) rather than using disk I/O.Spark is implemented in scala.

      Graph lab, storm and HPCC Systems (from LexisNexis) are the others that handle big data.

      With all these alternatives, why use Hadoop?

      One word: HDFS. For a moment, assume you could bring all of your files and data with you everywhere you go. No matter what system, or type of system, you login to, your data is intact waiting for you. Suppose you find a cool picture on the Internet. You save it directly to your file store and it goes everywhere you go. HDFS gives users the ability to dump very large datasets (usually log files) to this distributed filesystem and easily access it with tools, namely Hadoop. Not only does HDFS store a large amount of data, it is fault tolerant. Losing a disk, or a machine, typically does not spell disaster for your data. HDFS has become a reliable way to store data and share it with other open-source data analysis tools.

  10. QUESTION:
    parental consent for data collection of under 18s?
    im doing a univeristy course looking into survey design and analysis and am looking for the act of law that requires that any data collection from the under 18s needs parental consent, even if no sensitive data is being collected.

    • ANSWER:
      depends what data is being collected, in regard to personal data and sensitive personal data you need to comply with the Data Protection Act, the act defines personal data as data which would identify the individual, sensitive personal data is data such as medical records etc. The act imposes lots of regulation on the collection and use of such data, if you are using it without identifying names etc you should be ok

      check the information commissioners site at

      www.ico.gov.uk

  11. QUESTION:
    Enumerate the advantages and disadvantages for each of the data colection method?
    in detail

    • ANSWER:
      The Quantitative data collection methods, rely on random sampling and structured data collection instruments that fit diverse experiences into predetermined response categories. They produce results that are easy to summarize, compare, and generalize.
      Quantitative research is concerned with testing hypotheses derived from theory and/or being able to estimate the size of a phenomenon of interest. Depending on the research question, participants may be randomly assigned to different treatments. If this is not feasible, the researcher may collect data on participant and situational characteristics in order to statistically control for their influence on the dependent, or outcome, variable. If the intent is to generalize from the research participants to a larger population, the researcher will employ probability sampling to select participants.
      Typical quantitative data gathering strategies include:
      Experiments/clinical trials.
      Observing and recording well-defined events (e.g., counting the number of patients waiting in emergency at specified times of the day).
      Obtaining relevant data from management information systems.
      Administering surveys with closed-ended questions (e.g., face-to face and telephone interviews, questionnaires etc
      Qualitative data collection methods play an important role in impact evaluation by providing information useful to understand the processes behind observed results and assess changes in people s perceptions of their well-being.Furthermore qualitative methods can beused to improve the quality of survey-based quantitative evaluations by helping generate evaluation hypothesis; strengthening the design of survey questionnaires and expanding or clarifying quantitative evaluation findings. These methods are characterized by the following attributes:
      they tend to be open-ended and have less structured protocols (i.e., researchers may change the data collection strategy by adding, refining, or dropping techniques or informants)
      they rely more heavily on iteractive interviews; respondents may be interviewed several times to follow up on a particular issue, clarify concepts or check the reliability of data
      they use triangulation to increase the credibility of their findings (i.e., researchers rely on multiple data collection methods to check the authenticity of their results)
      generally their findings are not generalizable to any specific population, rather each case study produces a single piece of evidence that can be used to seek general patterns among different studies of the same issue
      Regardless of the kinds of data involved,data collection in a qualitative study takes a great deal of time.The researcher needs to record any potentially useful data thououghly,accurately, and systematically,using field notes,sketches,audiotapes,photographs and other suitable means.The data collection methods must observe the ethical principles of research.

  12. QUESTION:
    Family Data Collection?
    Still being fairly new to researching my family tree, I've never done a search in ancestry.com that gave me the "Family Data Collection" as the only source of information on an ancestor. Where does the info in the Family Data Collection come from?

    (If this is a dumb question, please excuse me. I've only had one cup of coffee this a.m.)

    • ANSWER:
      From ancestry.com....

      About Family Data Collection -
      The Family Data Collection - Individuals, Births, deaths, marriages database was created while gathering genealogical data for use in the study of human genetics and disease.

      I've actually found a few things there but usually it isn't much - at least from my experience.

  13. QUESTION:
    Data collection meaning?
    I have been looking for a right definition of this but every answer is a big worded and not understandable for me or has nothing to do with science. Can some one please define it in the science form. My teacher doesn't even define it.

    • ANSWER:
      "Data are pieces of information that represent the qualitative or quantitative attributes of a variable or set of variables."
      http://en.wikipedia.org/wiki/Data

      Data is "bits" of information obtained from observation. In the context of science, it is usually physical traits observed during an experiment. It can be anything.

      So data collection (in the context of an experiment) means collecting information during an experiment of a particular (important) characters or trait.

  14. QUESTION:
    Is there any differencce between 'sampling' and 'data collection'?
    Im confused is there any difference or do they mean the same?

    • ANSWER:
      Data collection is the act of gathering data for a particular purpose. Sampling means specifically choosing data that meet a desired criteria and the amount of data is a certain percentage of the whole possible population. E.g Data collection might be to get names,address,age, heights of children in a school. A sample will be to chose only 1000 out of 5000 children of whom to collect this information.

  15. QUESTION:
    What is data collection and what methods of data collection are out there?> Please help :D?
    Hi im doing a business project and it says i need to use some form of data collection.

    Ive been searching through google to find out what data collection actually is for the last half hour and there is no simple definition. I am aiming to write a page about what data collection is so if anyone knows or has any links to pages or info i could look at to help me understand would be great.

    Once i actually know what data collection is could someone please list me all examples possible of data collection, and a bit about what they are (again i cannot find this on the web), links to the pages are also greatly appreciated, i just need this as i need to know what method i have used-i cannot find any methods so i have not a clue if you get what im saying.

    Thank You for reading, i hope you can awnser :D x x
    OH BY THE WAY, I ALSO NEED ADVANTAGES AND DISADVANTAGES OF EACH TYPE OF DATA COLLECTION METHOD SO IF YOU COULD GIVE ME SOME EXAMPLES THAT WOULD BE VERY HELPFUL. THANK YOU X X X XX X

    • ANSWER:
      A data collection is usually a planned, systematic process of obtaining data to answer a research question.

      perhaps your using a wrong key words in your search

      You could consider searching on

      questionnaires,
      information surveys,
      interviewing
      market survey
      survey methods
      quantitative methods

      You collect data in order to answer questions. So the first place to start is deciding what type of information you are interested in.

      Here are some question that I would ask that require you to collect data.

      1. Where the best place to locate my business?
      2. What people are interested in my product(s)?
      3. What are the demographics of the area in which I wish to locate.
      4. Who will I be in competition with?

  16. QUESTION:
    How do we collect data from distant galaxies?

    • ANSWER:
      Data collection from distant galaxies is mainly by studying the light we recieve from them. The light from distant galaxies usually travels over several millennia to reach us. Thus what we see are only images of the galaxies from the past. Light travels at 300,000 km/sec approximately. For instance, the light from the sun takes upto 8 mins to reach us. Imagine how much time it would take for light from faraway stars takes to reach us. Using deep field telescopes installed in space probes like Hubble, Subaru, Darwin among others, data is collected in the form of electormagnetic radiation(x-rays, gamma rays, infrared, visible light etc) coming from different directions in the universe. This data is usually ancient and could give clues about the origin of the universe, presence of other planets/planetoids like Earth or even tell us of birth and death of several stars. But these space probes are not technically capable of travelling huge distances. They can be stationary or attached to comets(only hypothetically for a comet). Parallax can be used to determine the size/distance of celestial objects. Variable stars(stars with varying luminosity)can be used to estimate distances and these are called standard candles. A relation called the period-luminosity(P-L) is used to calibrate and calculate the distance of a star. To measure the temperature of an object, a special detector called the Bolometer is attached to the optical telescope enabling the measurement of infrared radiation from it. The color of a star gives us the temperature of the star. The basic information we can avail off space probes consists of the spectra of starlight, brightness of stars, degree of polarization of starlight, star diameters, etc. A spectral image of a star can give clues to the elementary composition of the stars. The degree of polarization can help us determine the strenght of the magnetic fields in the stellar dust clouds. The electormagnetic data obtained has to be processed before analysis to remove image noise or aberrattions. So far only telescopic images have contributed information about deep space. It will take many years to develop the technology to send probes into the vast reaches of space to garner physical data like the lunar probes and the Mars probes. Our eye into space is our vision of the past that holds many clues for our future. Well, did I manage to answer your Question?

  17. QUESTION:
    whats the difference between data capture and data collection?

    • ANSWER:
      Data capture should be about getting a "snapshot" of a data streamfrom one source at any discrete point, while data collection implies that you are collecting data from multiple sources for whatever purpose. Seems to me that you could have a "collection of data that is nothing more than data captures"... (ok sorry)

  18. QUESTION:
    what does experiment design, data collection, and data analysis mean?
    its in the scientific meathod and i dont get it

    its for my health fair project due in two days

    and i just dont understand it

    i really need an A for this because im failing the class

    • ANSWER:
      I'll give you an example.

      Experiment design: what you are planning on investigating and how you will test it.

      What:
      "How does blade width and length affect paper helipcopter flight times?"
      How: I will cut paper helicopters with different width and length for blades and measure the flight times.

      2. data collection.
      This is where you do the experiment, cutting out different paper helicopters, and measuring how long they fly from the same height.

      3. Data analysis. Now you chart the data and show, perhaps, that there is an optimal length and width of paper helicopter blades for maximum flight. Or perhaps not. Eitehr way, this is where you draw conclusions from your data.

  19. QUESTION:
    Web based data collection Services?
    Suggest me a Web based data collection service provider in US?

    • ANSWER:
      Hi,

      We are one of leading Web based data collection service provider in India. We provide a web research services in different areas at very affordable cost. We have lots of clients in different country. Our main clients from US, Australia & UK.We provide a Web based data collection services in following areas I mention below briefly ,

      Business Research Services

      * Identifying potential/probable clients for a new product/service
      * Self analysis of the organization - Where your company stands in the market, reaches of marketing initiatives in the market etc.
      * Getting updated with the latest developments in the industry
      * Determine how your competitors are performing in the given market Business industry analysis

      Based on the methods:

      * Social media analysis
      * Company profiling (name, address, market segments, employee strength, key decision makers contact information if any, strengths and weakness of the company, major competitors, financial information if any etc.)
      * Company's key decision makers profiling (name, title, designation, address, contact information such as phone, fax, email info.)
      * Business Report writing
      * Business research Surveys
      * Business research - Database creation
      * Competitor analysis

      Clinical Research and Pharma/Biotech industry Services

      Clinical investigators/principal investigators profiling-name, title, designation, address, contact information, affiliations, publications, board memberships, successful clinical studies completed, ongoing studies, specialty etc.

      Key opinion leaders or Key decision makers profiling like technical people or management people-name, title, designation, address, contact information such as phone, fax, email info

      Medical or Scientific content writing for both marketing and research purposes

      * Journal abstracts and articles (needs detailed discussion with the customer)
      * Medical education materials
      * Physician speeches, Posters
      * Editing and Proof Reading
      * Pharmaceutical marketing and advertising
      * Magazine articles
      * Marketing materials
      * Newsletters
      * Patient education materials
      * Public relations materials
      * Training manuals

      Scientific Curation and database Services

      Chemistry and Biology database creation: Mining molecular information from the published literature articles including two dimensional structures for small molecules, properties, biological activity, full biological annotation of target molecules etc. And developing the appropriate quereable database.

  20. QUESTION:
    what is data collection in newly launch product?
    I want to know what is data collection for newly launch product and tell me the imp point for preparing the data collection for product e.g i want to launch new laptop this is most urgent plz reply and if somone having any notes or pdf file then send it to me in ketanjamwal@ymail.com

    • ANSWER:
      Market research data collection is also one of the basic tools for any process improvement. Data Collection assists your team to review the development of your project. To do so, one must classify the key quality characteristics that are measured and what is to be done with the data thus collected.

  21. QUESTION:
    matlab data collection?
    I am new at programming and wondering how I would go about creating a program for data collection. For example say you create a program that collects themistor data, how would I even start.

    • ANSWER:
      You need to determine a way to interface with the hardware. If the Matlab that you are using has this capability, then follow some documentation, otherwise you might need to develop a lower level routine to get the data stream from the device, and import it into Matlab. Basically you will be reading in a change in voltage resembling a resistance. then you need to appropriately do a conversion which resembles the device you're working with. Good Luck.

  22. QUESTION:
    what are some data collection methods?
    e.g. how, what,

    • ANSWER:
      You can collect data by observation, surveying, or experimentation.
      Observation entails going out and watching for example, how many cars go through a red light in a certain period of time. Then you record that data. You aren't interfering either.
      Surveying refers doing a survey of some type, from going door-to-door to using media such as mail and the internet. This method can be biased because people can lie on forms, however it is still widely implemented as you probably have taken a survey before.
      Experimentation is manipulating one or more independent variables and then recording the results (what happens to the dependent variables e.g those dependent on the independent variables). For example, you may manipulate how much yeast you put into the flour and then record the time it takes for the dough to rise. In this case, time would be dependent on yeast amount. With this type you are looking for a relationship between two variables.
      Well, I hope that helped!

  23. QUESTION:
    GCSE Statistics - Data collection Help needed?
    I need some tips and advice for this. I'm doing a statistics course at school, we just started and this was sort of a starter question. I was wondering if anyone had a few good steps to figuring this out.

    "GIRLS ARE MORE INTELLIGENT THAN BOYS"
    Write a plan describing on how you would go about investigating the above hypothesis.

    Include:
    1) Collecting the data
    2) Display the Data
    3) Process and represent the Data
    4) Analyse the Data

    I don't need you guys to figure it out (if you want to, go ahead) but i want to know how I should go about answering the question, which steps should i take in accordance to the question?

    Thanks a lot, I'll give out as much points as possible...

    • ANSWER:
      Step 1) (collecting data) You could find past test results for boys and girls, noting down the grades or scores achieved

      Step 2) Display the data. This is usually done by using a table so girls in one column, boys in another, label the rows with the grades or score (whichever you chose to do) and write in each box the number of girls/boys with those scores.

      Step 3) Process and represent the data. This is where you do some sort of chart or graph.

      Step 4) Analyse the data. This is your own interpretation of what the results say to you.

  24. QUESTION:
    A good data structure for garbage collection?
    It's a question from my previous uni exam of Data structures and Algorithms. Please help me....

    • ANSWER:
      In creating data structure we create verious fields to collect data. We also assign the information regarding which type of information we are going to accept in a particular field e.g. date type data, neumaric data, string data etc. In most of the cases if user enter wrong data, immediately program alerts you that the entered data is not correct. Atfer getting message user corrects the data by reentering it but we cannot get information regarding what wrong data was entered by user which is known as garbage data.
      Now we have to collect this garbage data. according to my opinion we can collect this data as under.
      first make two data structure files with same fields, one for correct data along with required data type and field size and another for garbage data without specific data type like date, neumaric in short field data type should accept data of any type and field size should be as much as possible . then when you start accepting data, whatever data entered by user in fields should be verified for its correctness. If entered data is not as per your requirement then first it should be stored in garbage data structure file and then only you ask the user to enter correct data when you will get data as per your requirement then store it in correct data structure file. when you retrive data from garbage data structure file, you can see all garbage data entered by the user. Only the thing is garbage data structure file should not have unique indentity No due to which more than one time entered garbage data by a particular user will be accepted and assigned to his indentification no or name.

  25. QUESTION:
    why is data collection important for businessmen?

    • ANSWER:
      It depends on the data being collected. If done properly, data collection and analysis can show you where your weak points are and where your system needs improving. That way, you can focus your time, personnel, and resources on the issues that will generate the greatest returns. The problem is that many businesses collect data so they can tell customers they collect data. There are many books about how to collect and analyze data for various businesses, "The 80/20 Principle," "The Six Sigma Way," etc.

  26. QUESTION:
    what are the data collection techniques used in super markets?

    • ANSWER:
      Here in the United States, many grocery stores have what are generally called 'club cards', which allow the customer to get slightly lower prices on certain products. The sale products usually change every week. The card is associated with the customer's name, address, phone number, and email address in a computerized data base. What this means is that the store does in fact know exactly what a person purchases and has purchased in the past. Having all that information in a data base makes it quite easy for a store to identify which items are popular with its customers and which items are not, so the store managers are in a much better position to more profitably manage their ordering strategy.

      A few grocery chains here also offer home delivery of groceries for a small fee. This is essentially the same thing as above. (I use such a service.) The customer goes to the store's website, and shops in a virtual grocery store. As above, the store now has a computerized record of everything I have ever purchased from that site over time.

  27. QUESTION:
    The types of primary data collection.?
    The types of primary data collection in marketing

    • ANSWER:
      There's a couple of sites that gives you the different types of primary data, the different ways to collect them and the pros and pros.

      Here's a pretty good powerpoint that is very detailed: http://74.125.113.132/search?q=cache:RPEI1IivV6AJ:cas.uah.edu/wrenb/mkt343/primary.data.ppt+types+of+primary+data&cd=1&hl=en&ct=clnk&gl=us

      Then here's a good site you can use as well: http://brent.tvu.ac.uk/dissguide/hm1u3/hm1u3text3.htm

      Hope that helps.

  28. QUESTION:
    what specific business areas go into an organizational restructuring data collection stage?
    if we are looking into an organization and want to find problem areas and recommend solutions and a proper structure, what data should we collect? is there a checklist?

    • ANSWER:
      There is no ckecklist because the problems are complex and vary widely from one organisation to another, from one industry to another. Also data to be collected depends on the problem you are trying to solve. However the approach can be somthing like this below:

      1. Identify the problem areas. Hypothesize the problem. Is it the sales problem, efficiency problem, management problem (this one is tricky) etc. The initial hypothesis can be built after discussions with the org, your colleagues, your gut feeling (if you have good experience in the industry), study on annual reports of the org etc.
      2. Based on the hypothesis, collect the data. For example, if its sales problem, collect sales data (by territory, by sales person, by product, by buyer categories so on..)
      3. Analyse the data. It may prove or disprove the initial hypothesis. If it proves, congratulations. If it disproves, it means there is something more or alternative problems etc. Either way, the data collected and analysis will point towards the solutions.

  29. QUESTION:
    What are some simple data collection techniques I can use in my kindergarten classroom?
    I am on an IAT coaching team. We are developing a list of ideas for the teachers in our all kindergarten building to use when collecting data on student behaviors. I have looked everywhere and I have only been able to find about three techniques including placing a piece of masking tape on your leg and tally marking everytime you observe the behavior, moving paperclips from one pocket to the other and using a counter to record the number of times the behavior happens. I am sure that there are more, however, I have been unable to locate any additional ideas. I would greatly appreciate the advice of other teachers. Any websites or book recommendations would be outstanding. Thank you so much in advance.

    • ANSWER:
      www.specialconnections.ku.edu.
      If you look under Behavior planning
      Functional Behavior Assessment
      Teacher Tools.
      They give you specific examples for collecting data including a Scatter Plot, ABC chart and other ideas.
      You may also want to talk about different types of data collection: frequency/ event recording, duration (latency) and time sampling to give a range of the type of data that can be collected. An introductory text to Behavior Analysis gives a lot of great data collection ideas also. Applied Behavior Analysis for Teachers published by Prentice Hall is a great resource.

      I hope these are helpful :)
      A couple more websites.
      http://www.usu.edu/teachall/text/behavior/LRBIpdfs/Data.pdf
      www.pent.ca.gov/07BehaviorPlanning/aFuncAssessment/datacollection_dk.pdf
      http://education.umn.edu/ceed/projects/preschoolbehavior/strategies/fa.htm#Direct%20Observation

  30. QUESTION:
    what is a production data collection facility?

    in regards to programable logic controlers
    what is an example of a data collection facillity

    • ANSWER:
      A programmable logic controller is a micro controller of sorts than can be programmed with a subset of predefined commands for the purpose of interacting with analog equipment.

      A production data collection facility is more like a server farm that mines data, and there would be lots of PLCs in the equipment.

      In general terms, it is something you program to achieve a desired output/response.

  31. QUESTION:
    what determines the reliabilty of data collection and conclusins made in scientific investigation?

    • ANSWER:
      The reliability of the data is determined by the procedure/methods used to collect the data, as well as instruments used.

      You could conclude, accurately, that the earth is round (relatively), but if you reached that conclusion by dropping grains of sand into the ocean while singing the 'star spangled banner', your 'data' and argument has no credibility.

      As for the conclusions, it really goes back to the procedure and methods of collecting data.

      In the end, though, reliability is often subjective to the times, and sometimes the best we can do is make a very good educated guess based on what we have today.

      At least if you want funding for tomorrow.

  32. QUESTION:
    How to use software packages for data collection and analysis.?
    How to use excel to collect data (human resources and costing) collection and processing
    And how can be used for analysis any engineering business

    • ANSWER:
      Excel doesn't "collect" data. You collect data, enter it into Excel and then you can analyze it. Data centers are using sophisticated databases, not spreadsheets, and they are collecting data according to custom, generally secret algorithms using the internet and other online sources.

  33. QUESTION:
    anyone knows a solution for asset and market data collection?

    • ANSWER:
      Asset Control, provider of financial data management solutions and services, has enhanced its AC Plus data management platform by launching an on-demand instrument set-up module.
      Data collection typically involves sourcing sets of pricing and reference data from external sources, where costs are driven by the number of incoming feeds and data source duplication, and the overhead of keeping pace with vendors data format changes. As market and reference data volumes continue to rise, increasing efficiencies in data acquisition and consumption is imperative to business processes and cost controls, creating a growing need for a more selective process.

  34. QUESTION:
    Have you seen this web page with 'counters' of illegal immigration data?
    http://immigrationcounters.com/

    Note that while the governmental statistics say there are 11,000,000 illegals in the country, I have seen estimates ranging as high as 30 million, and this counter uses the 20 million benchmark, FYI.

    I just found it and haven't had a chance to figure out where the numbers come from yet, but it sure is user friendly!

    What do you think?
    I will say that the 'incarcerated' number if anything looks low based on Homeland Security estimates, and the 'fugitives' number is about what I have seen governmental sources say.
    The cover page to this says: "Data sources include The Center For Immigration Studies, Department of Homeland Security, U.S. Census Bureau, The Government Accounting Office, The Federal Bureau Of Prisons and others. "

    It's the 'others' I don't know.

    • ANSWER:
      Data Sources

      DATA COLLECTION METHODS: This site does not contain any original research, it contains the numbers released to the public so the public does not have to mine the numerous reports themselves. Only the most respected sources are used. Significant effort is made to provide what is determined to be the most reliable data and as such is published in good faith to maintain integrity of data. We find that the data used is sufficiently reliable for the purposes of this site.

      The methodology is simple, find the number as far back as available, total this to the current date and project the rate of increase based on the previous trend. Some counters are formulated with their beginning numbers that date back several years, others because data was not available begin more recently. The beginning year will be noted with each counter data source. Trend data from the previous years are used to set the clock update rates. Each counter began running on 1 June, 2006.

      The links you give are always interesting.Thank you so much !

  35. QUESTION:
    How can you define data and program. What is the diffrence between the two?

    • ANSWER:
      Data is just a collection of bits. Data about you would be your name, address, username, etc. Data doesn't DO anything. It just exists until you have a program that allows you to input and manipulate it. A program is a collection of coded instructions (and data) that allows you, the user, to work with your data.

      To be picky, data is not information as such. Information is what you get after your program manipulates the data.

  36. QUESTION:
    What is data collection, and what methods of data collection are there?
    Hi im doing a business project and it says i need to use some form of data collection.

    Ive been searching through google to find out what data collection actually is for the last half hour and there is no simple definition. I am aiming to write a page about what data collection is so if anyone knows or has any links to pages or info i could look at to help me understand would be great.

    Once i actually know what data collection is could someone please list me all examples possible of data collection, and a bit about what they are (again i cannot find this on the web), and also if you know and could tell me a few advantages and disadvantages of each would be great- i can then see which one is best-links to the pages are also greatly appreciated, i just need this as i need to know what method i have used.

    Thank You for reading, i hope you can awnser :D x x

    • ANSWER:
      I'm certainly not about to answer your project questions for you, but in essence data collection is exactly what it says: to put it another way "information gathering".

      This link might be useful http://www.leanyourcompany.com/methods/Establishing-a-data-collection-plan-1.asp

  37. QUESTION:
    what is big data is it hardware or a software?

    • ANSWER:
      Big data describes a collection of data sets. It is not a hardware or software product, it is data.

  38. QUESTION:
    Surveys for data collection?
    What kind of survey designs for data collections from the public can I use? e.g. in Microsoft Excel table...blah blah blah, but I needmore ideas.
    So, examples and maybe pictures or survey formats and designs would be good thanks :)

    • ANSWER:
      In my opinion Microsoft Excel table is the best for maintain the survey data collections.

  39. QUESTION:
    My data collection! Why is confidentiality and privacy good in questionnaires?
    I need to back up the point on why the data collected for my research would be kept anonymous..cant think...thank you!

    • ANSWER:
      If you do not make it 1000% clear that this data will remain anonymous, it will screw up the results of your study because NO ONE is honest when they think there is a chance the info can come back to them in ANY WAY.

      If I were doing a questionnaire, I would make it so that you don't have to give a name at all...

      "Sex", "Age", "Race", (if it matters) "City & State of Residence" would be as in-depth as I would get when it comes to traceable information.

      If you ask for a name... people will automatically feel as if you have given *SOMEONE* the ability to look this info up.

      It is an irrational, animal instinct... For MOST people...

      (I am not one of those and answer fully in any event... I really don't care what others think of me so if I tell you something embarrassing, it isn't embarrassing to ME and that is all that matters! LOL)

      Put a disclaimer on the top of the page assuring the participant that NONE of the information collected will be used or seen by anyone other then yourself and after the study is concluded, the documents will be destroyed.

      That should put their minds at ease.

      p.s. if you NEED information like name etc. or NEED to contact some of them later for some reason... Make it OPTIONAL.

      I can assume that at least a FEW people would be willing to put their name or email address on the form if you make it 100% optional.

  40. QUESTION:
    How to choose a barcode data collection terminal?
    There are many kinds of barcode data collection terminal, which is best for small company in inventory?

    • ANSWER:
      I do the inventory on my PDA every month 'Coz the Bluetooth barcode scanner I bought can send barcode data it scanned to my phone.
      It's rather convenient 'Coz now I can check out the stock anytime I want. O( _ )O

      The model no. of the scanner I bought is SL-MS30A. You can search it.

      The brand name is SUMLUNG I think, if I spell it right.

      It's a bargain I must say. The battery life is more than 65 hours! Amazing!

  41. QUESTION:
    whats data?????????????????????????????????????
    im doing a science project..(which liqued malka seltzer will dissolve in the fastest.) and idk what data means..there s a sheet of paper in my packet and it says data..what do i put?? plz help
    :'(

    • ANSWER:
      Data is: a collection of facts from which conclusions may be drawn

      In your case it is whatever observations you make. Probably, just the time it took each sample or trial to dissolve, and what that sample was. If volume or temperature of the water is being considered, well that would be included here as well.

      Your data is just the raw information you collected. It does not typically include much analysis or interpretation.

  42. QUESTION:
    What does 'describe the data collection process' mean?

    • ANSWER:
      It refers to the process and steps through which the data were collected. It is also known as a research methodology, usually a subtitle in research papers. For example:

      Online Questionnaire.
      Interviews.
      Observation.
      Citing other data and information on similar studies and research etc.
      Simply how did the researcher got his/her information.

  43. QUESTION:
    examine the important of data collection in geographical reasearch?
    to examine the important of data collection in geographical research

    • ANSWER:
      importance of data collection in geographical research is that on basis of the database we try to form certain relationship between the similar event occurs and on that basis we try to predict next time when same event is expected.
      it is also important to moniter earth movement to predict earthqueck,tsunami etc.....

  44. QUESTION:
    What's the difference between a Survey and Data Collection Sheet?
    Got to make these for hw. Testing how much people stare at a screen.

    • ANSWER:
      A survey is taking the data of people, so a questionnaire or interview or whatever. A Data Collection Sheet is what you collate (gather) the data on, and how you compare it to each other. Basically survey - one person's results. DCS - all data on one sheet

  45. QUESTION:
    What is o.e. data collection?
    In a job listing for a unit secretary(link is below), it says "clerical support for IP nursing unit; requires basic computer skills, o.e. data collection, communication".

    • ANSWER:
      Usually it means "order entry", a fancy way of saying you enter data into a computer.

  46. QUESTION:
    how to add data to collection in java?
    I have a class named Item.It has variables like item no,amount,price,bill no...now i create a window for item using Jframe (has all the same variables).there is this ADD button.i want that when i click on this button all the data of the window is going to add to tha collection.how can i do it??

    • ANSWER:
      U can use Hashtable/HashSet or HashMap

      Collection with Hashset
      http://www.tutorialspoint.com/javaexamples/collection_size.htm

      Collection with Hashtable
      http://www.tutorialspoint.com/java/java_hashtable_class.htm

      Collection with HashMap
      http://www.java-samples.com/showtutorial.php?tutorialid=369

  47. QUESTION:
    Manual Data Collection?
    I was recently named co-captain of a Data Collection Software team for my school's Robotics team, we participate in the FIRST competition. (#3061) I need to know (by 9/11/13 (we have meetings on Wednesdays, how conspicuous of a day...)) if there is a way that we can use multiple electronic devices to collect data without an internet connection. No 3G, 4G, or WiFi. Cell signals are unreliable where our competitions are and we cannot have our own router because it interferes with the connection the drivers have to their robots. Also I don't know if we have a budget for our data collection team, but I'd like to assume that we have none, just to make sure that we don't put together a program or system which would require buying special hardware to make it work. I'm also wondering specifically if we could set up a network of computers and send information or files between them. Any help would be greatly appreciated!

    • ANSWER:
      use a long string of bluetooth devices placed over a series of like a mile until you can connect to wifi, and then set it up to transfer data through all the devices

  48. QUESTION:
    major objectives of a data collection process.?

    • ANSWER:
      COLLECTING DATA

  49. QUESTION:
    What are three major objectives of a data collection process?

    • ANSWER:
      1. Retrieve accurate, relevant data.
      2. Enter data in to computer
      3. Process data to find information.

      Mike Honeycutt

  50. QUESTION:
    WHAT'S SPSS?? In data collection?

    • ANSWER:
      SPSS is the acronym of Statistical Package for the Social Science. SPSS is one of the most popular statistical packages which can perform highly complex data manipulation and analysis with simple instructions. It is designed for both interactive and non-interactive (batch) uses.


what is data collection