Collection of Data

Cards (78)

  • What is raw data?
    Unprocessed data that needs organization
  • Why is qualitative data often more difficult to analyze?
    It is non-numerical and subjective
  • What type of data is height classified as?
    Quantitative data
  • What distinguishes discrete data from continuous data?
    Discrete data takes particular values, continuous can take any value
  • What is categorical data?
    Data sorted into non-overlapping categories
  • How is ordinal data characterized?
    It can be ranked on a rating scale
  • What does bivariate data involve?
    Measuring two variables
  • What is multivariate data?
    Data made up of more than two variables
  • What are the pros and cons of grouping data using tables?
    Pros:
    • Makes data easy to read
    • Helps spot patterns quickly

    Cons:
    • Loses accuracy of exact values
    • Calculations are only estimates
  • What is primary data?
    Data collected by yourself or on your behalf
  • What is secondary data?
    Data that has already been collected
  • What is a population in research?
    Everyone or everything involved in the investigation
  • What is a census?
    A survey of the entire population
  • What is a sample?
    A smaller number from the population surveyed
  • What is a sampling frame?
    A list of all members of the population
  • What is a biased sample?
    A sample that does not represent the population fairly
  • What is a random sample?
    Every item has an equal chance of selection
  • What is the method for random sampling?
    Assign numbers and select randomly
  • What is stratified sampling?
    Sample size is proportional to population strata
  • How do you calculate sample size in stratified sampling?
    stratified sample=\text{stratified sample} =stratatotal×sample size \frac{\text{strata}}{\text{total}} \times \text{sample size}
  • What is systematic sampling?
    Choosing items at regular intervals
  • How do you determine intervals in systematic sampling?
    Divide population size by sample size
  • What is cluster sampling?
    Population divided into natural groups
  • What is quota sampling?
    Fixed amount sampled from each group
  • What is opportunity sampling?
    Using available people/items at the time
  • What is judgment sampling?
    Researcher selects sample based on judgment
  • What is the Petersen Capture-Recapture method used for?
    Estimating size of large populations
  • What is the first step in the Petersen Capture-Recapture method?
    Take a sample of the population
  • What is an explanatory variable?
    The variable that is changed in an experiment
  • What is a response variable?
    The variable that is measured in an experiment
  • What are extraneous variables?
    Variables that could affect the experiment's results
  • What are laboratory experiments characterized by?
    Full control over variables in a lab setting
  • What is a field experiment?
    Conducted in everyday environments with some control
  • What is the advantage of laboratory experiments?
    Easy to replicate and control variables
  • What is a disadvantage of field experiments?
    Less control over extraneous variables
  • What are the advantages and disadvantages of field experiments?
    Advantages:
    • More accurate results
    • Reflect real-life conditions

    Disadvantages:
    • Less control over variables
    • More difficult to replicate
  • What is the purpose of experiments in research?
    To see how one variable affects another
  • What is the response variable in an experiment?
    The variable that is measured
  • What is the explanatory variable in an experiment?
    The variable that is changed
  • What are extraneous variables in an experiment?
    Variables that could affect the results