data collection

(noun)

Data collection is a term used to describe a process of preparing and collecting data.

Related Terms

Examples of data collection in the following topics:

  • Collecting Data

    • In marketing research, an example of data collection is when a consumer goods company hires a market research company to conduct in-home ethnographies and in-store shop-alongs in an effort to collect primary research data.
    • This is especially important in the data collection phase.
    • The data collected will be analysed and used to make marketing decisions.
    • Hence, it is vital that the data collection process be free of as much bias as possible.
    • There are many sources of information a marketer can use when collecting data.

  • Defining the Sample and Collecting Data

    • Defining the sample and collecting data are key parts of all empirical research, both qualitative and quantitative.
    • Sampling and data collection are a key component of this process.
    • In both cases, it behooves the researcher to create a concrete list of goals for collecting data.
    • Good data collection involves following the defined sampling process, keeping the data in time order, noting comments and other contextual events, and recording non-responses.
    • Natural scientists collect data by measuring and recording a sample of the thing they're studying, such as plants or soil.

  • Introduction

    • These observations - collected from the likes of field notes, surveys, and experiments - form the backbone of a statistical investigation and are called data.
    • Statistics is the study of how best to collect, analyze, and draw conclusions from data.
    • That is, statistics has three primary components: How best can we collect data?
    • However, many of these investigations can be addressed with a small number of data collection techniques, analytic tools, and fundamental concepts in statistical inference.

  • Lab 1: Data Collection

    • For each marked name record below the five data values.
    • You now have a total of 60 data values.
    • Using the tables, find the percent of data that is at most 2.
    • Using the tables, find the percent of data that is at most 3.
    • Are there any advantages to either way of grouping the data?

  • Applications of Statistics

    • Statistics deals with all aspects of the collection, organization, analysis, interpretation, and presentation of data.
    • Statistics deals with all aspects of the collection, organization, analysis, interpretation, and presentation of data.
    • It includes the planning of data collection in terms of the design of surveys and experiments.
    • Statistical methods can summarize or describe a collection of data.
    • Data collected about this kind of "population" constitutes what is called a time series.

  • Primary Market Research

    • Primary research consists of the collection of original primary data.
    • It is often undertaken after the researcher has gained some insight into the issue by reviewing secondary research or by analyzing previously collected primary data.
    • Primary research consists of the collection of original primary data.
    • In order to be done properly, primary data collection requires the development and execution of a research plan.
    • All research, whether primary or secondary, depends eventually on the collection of primary research data.

  • Lab 2: Normal Distribution (Pinkie Length)

    • The student will compare empirical data and a theoretical distribution to determine if data from the experiment follow a continuous distribution.
    • Using your sample mean, sample standard deviation, and histogram to help, what was the approximate theoretical distribution of the data from the section titled "Collect the Data"?
    • Using the data in the section titled "Collect the Data" complete the following statements.
    • (Hint: order the data)
    • Do the data from the section entitled "Collect the Data" give a close approximation to the theoretical distribution in "Analyze the Distribution. " In complete sentences and comparing the results in the sections titled "Describe the Data" and "Theoretical Distribution", explain why or why not.

  • Types of Data

    • Primary data is original data that has been collected specially for the purpose in mind.
    • This type of data is collected first hand.
    • Secondary data is data that has been collected for another purpose.
    • You are not the original source of the data--rather, you are collecting it from elsewhere.
    • Collecting information about a favorite color is an example of collecting qualitative data.

  • Analyzing Data

    • Data Analysis is an important step in the Marketing Research process where data is organized, reviewed, verified, and interpreted.
    • Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes.
    • In statistical applications, some people divide data analysis into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA).
    • All are varieties of data analysis.
    • Summarize the characteristics of data preparation and methodology of data analysis

  • Observations, variables, and data matrices

    • These observations will be referred to as the email50 data set, and they are a random sample from a larger data set that we will see in Section 1.7
    • The data in Table 1.3 represent a data matrix, which is a common way to organize data.
    • Data matrices are a convenient way to record and store data.
    • How might these data be organized in a data matrix?
    • These data were collected from the US Census website.