primary data

Examples of primary data in the following topics:

• Primary Market Research

  • Primary research consists of the collection of original primary data.
  • Primary research consists of the collection of original primary data.
  • Compared to secondary research, primary data may be very expensive in preparing and carrying out the research.
  • It takes longer to undertake primary research than to acquire secondary data.
  • All research, whether primary or secondary, depends eventually on the collection of primary research data.

• Types of Data

  • Data can be classified as either primary or secondary.
  • Primary data is original data that has been collected specially for the purpose in mind.
  • An example of primary data is conducting your own questionnaire.
  • Those who gather primary data get to write the questions.
  • Differentiate between primary and secondary data and qualitative and quantitative data.

• Use of Existing Sources

  • But even gathering primary historical documents for each of the three countries would have been a daunting task.
  • Common sources of secondary data for social science include censuses, organizational records, field notes, semi-structured and structured interviews, and other forms of data collected through quantitative methods or qualitative research.
  • Common sources differ from primary data.
  • Primary data, by contrast, are collected by the investigator conducting the research.
  • The primary reason is that secondary data analysis saves time that would otherwise be spent collecting data.

• 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.

• Variations in Accuracy

  • Typically, you'll turn to scholarly sources such as academic journals, scientific research, or data.
  • You should also understand that scholarly research comes in primary and secondary sources.
  • A primary source is an original document containing content and data created or collected by the author.
  • Primary sources can include interviews you conduct to gain information and data, collections of letters, lab reports, autobiographical, and literary works.
  • You never want to be accused of pulling information or data from an unreliable source, or worse yet, just making it up.

• Introducing observational studies and experiments

  • There are two primary types of data collection: observational studies and experiments.
  • Researchers perform an observational study when they collect data in a way thatdoes not directly interfere with how the data arise.
  • In each of these situations, researchers merely observe the data that arise.

• Starting with the Data

  • In scientific writing, the primary evidence you will rely on is your data.
  • Scientific work is structured around data, and the conclusions must be based on verifiable data.
  • In addition, part of reliable data comes from the method used to acquire the data.
  • In scientific writing, the primary evidence you will rely on is your data.
  • In addition, part of reliable data comes from the method used to acquire the data.

• 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.

• Observational studies

  • Generally, data in observational studies are collected only by monitoring what occurs, while experiments require the primary explanatory variable in a study be assigned for each subject by the researchers.
  • In the same way, the county data set is an observational study with confounding variables, and its data cannot easily be used to make causal conclusions.
  • This prospective study recruits registered nurses and then collects data from them using questionnaires.
  • Some data sets, such as county, may contain both prospectively- and retrospectively-collected variables.
  • Generally, data in observational studies are collected only by monitoring what occurs, while experiments require the primary explanatory variable in a study be assigned for each subject by the researchers.

• Bioinformatic Analyses and Gene Distributions

  • Bioinformatics is the study of methods for storing, retrieving and analyzing biological data.
  • Development of this type of database involved not only design issues but the development of complex interfaces whereby researchers could access existing data as well as submit new or revised data.
  • The primary goal of bioinformatics is to increase the understanding of biological processes.
  • annotate genes and gene products and assimilate and disseminate annotation data
  • offer tools for easy access to all aspects of the data provided by the project