MODULE 1

Cards (28)

  • Data can be categorized according to:
    1. Source
    2. Nature
    3. Time Dimension
    4. Measurement
    5. Arrangement
  • According to Source
    1. Primary Data
    2. Secondary Data
  • Primary Data
    Collected directly from farmers and include data on production, yield, rates of fertilizers and chemicals, etc.
  • Secondary Data
    Based on published statistics and are taken from sources such as government agencies, public organizations, etc.
  • According to Nature
    1. Quantitative Data
    2. Qualitative Data
  • Quantitative Data
    numerical data;
    e.g., age, household size
  • Qualitative Data
    non-numerical data;
    e.g., sex and occupation
  • According to Time Dimension
    1. Cross-sectional Data
    2. Time Series Data
  • Cross-sectional
    Data taken at one time period
  • Time Series Data
    Data taken at several time periods; e.g., data on rice production from 2000-2018
  • According to Measurement
    1. Continuous Data
    2. Discrete Data
  • Continuous Data
    Data that can be divided into smaller units; e.g., height, weight, length, and distance
  • Discrete Data
    Data that cannot be divided into smaller units; e.g., table, chair, carabao, refrigerator, baby
  • Ranked Data
    Data that can be arranged into a set of ordered categories; e.g., first, second, third, fourth, fifth
  • Nominal Data
    Discrete data that cannot be ordered; e.g., sex, tenure status
  • Methods of Data Collection
    1. Survey
    2. Rapid Rural Appraisal
    3. Participatory Rural Appraisal
    4. Key Informant Interview
  • SURVEY
    • Used in particular in farm management with the help of a prepared questionnaire
    • Can be carried out by enumerators who interview farmers
    • Requires travel costs, and personnel and logistic support which may be expensive
  • RAPID RURAL APPRAISAL
    • Quickly conducted appraisals of the agricultural setting, often using small teams, which include identifying constraints and opportunities in farming
    • Consists of a series of techniques for “quick and dirty” research that produces results that are sometimes less precise than a more comprehensive survey.
    • Often of great value because the results are generated quickly
  • Surveys can be carried out by enumerators who interview farmers
  • SURVEY
    Used in particular in farm management with the help of a prepared questionnaire
  • RAPID RURAL APPRAISAL
    Consists of a series of techniques for “quick and dirty” research that produces results that are sometimes less precise than a more comprehensive survey.
  • PARTICIPATORY RURAL APPRAISAL
    • Similar to RRA but with the participation of local farmers
    • Can be used to obtain information about village conditions and to assess the production potential, economic feasibility, social acceptability of particular technologies, and monitoring and
    evaluation of specific project activities
  • KEY INFORMANT INTERVIEW
    • Interviews with those having specific knowledge
    • Identify those who are in the best position to assist in making better decisions
  • Sources of Data and Information
    1. NATIONAL STATISTICS
    2. PERSONAL EXPERIENCE
    3. FARM RECORDS
  • National statistics can pertain to historical yield and price information, and aggregated farm-level data
  • National Statistics
    • ________ can pertain to historical yield and price information, and aggregated farm-level data
    • It is usually calculated as an average of the information collected from a number of farms – as such, it does not tell farmers what level of yields or prices that they can expect.
    • Found in agricultural statistics services, national extension services, other government agencies, consulting advisory services, newsletters, magazines, agricultural suppliers, neighbors, etc.
  • PERSONAL EXPERIENCE
    • the most common source of data and information especially for small-hold/backyard farms.
    • this can be effectively supported by the provision of supplementary data.
  • FARM RECORDS
    • Best source of historical production and marketing information.
    • Crop yields, livestock production, and cost information generated from farm records → basis for information on productivity and profitability and indicate how successful farmers are in managing the farm.