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   1. Quantitative - refers to research that
    involves measuring traits, characteristics,
    or attributes of things
   1. Quantitative - refers to research that
    involves measuring traits, characteristics,
    or attributes of things
    › For example, if the researcher is collecting
      numerical data about individuals or groups,
      say height and weight, and expects to
      transform the numbers into mean (or
      average) scores for a group.
   2. Qualitative - refers to research that
    involves the meanings, concepts,
    definitions, characteristics, metaphors,
    symbols, and description of things.
    › For example, the researcher is planning to
      interview people to identify their health
      status and their exercise habits, and will
      transcribe the verbal responses of those
      interviews in order to characterize the habits
      of the group.
   Its goal is the careful mapping out of a
    situation or set of events in order to
    describe what is happening
    behaviorally. (Rosenthal and Rosnow,
    1991)
    › E.g. A researcher wants to identify the
      amount of time each week that typical
      American adults spend in various activities,
      including exercise.
   It focuses on the identification of how
    changes in one characteristic or variable
    correspond (or do not correspond) to
    changes in another characteristic or
    variable.
    › E.g. a researcher is interested in finding out in
      whether or not there is any relationship
      between exercise habits and health status
      (or between height and weight
      measurements) for a group of people.
   Focuses on the identification of causes
    and effects
    › E.g. A researcher wants to know if more
      exercise results in people being healthier, he
      or she bight design a study where people
      were assigned to different groups, each of
      which was led in different amounts of
      exercise. By comparing the health status of
      the groups, after some time has passed,the
      researcher could infer the extent to which
      differences in exercise cause health status
      differences in people.
   Quantitative Data          Qualitative Data
    › Uses numerical data       › Uses verbal reports
      (e.g. mean,                 to describe a trait,
      median) to describe         characteristic, or
      a variable                  phenomenon
   Quantitative Data           Qualitative Data
    › Uses numerical data        › Uses verbal reports
      (e.g. correlation            to show how traits
      coefficient) to show         are related to each
      a relationship               other
      among variables
   Quantitative Data               Qualitative Data
    › Uses numerical data            › Uses verbal reports
      (e.g. critical ratio) to         to establish a cause
      establish a cause                and effect
      and effect                       connection among
      connection among                 phenomena
      variables
Selecting a research approach

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Selecting a research approach

  • 1.
  • 2. 1. Quantitative - refers to research that involves measuring traits, characteristics, or attributes of things
  • 3. 1. Quantitative - refers to research that involves measuring traits, characteristics, or attributes of things › For example, if the researcher is collecting numerical data about individuals or groups, say height and weight, and expects to transform the numbers into mean (or average) scores for a group.
  • 4. 2. Qualitative - refers to research that involves the meanings, concepts, definitions, characteristics, metaphors, symbols, and description of things. › For example, the researcher is planning to interview people to identify their health status and their exercise habits, and will transcribe the verbal responses of those interviews in order to characterize the habits of the group.
  • 5.
  • 6. Its goal is the careful mapping out of a situation or set of events in order to describe what is happening behaviorally. (Rosenthal and Rosnow, 1991) › E.g. A researcher wants to identify the amount of time each week that typical American adults spend in various activities, including exercise.
  • 7. It focuses on the identification of how changes in one characteristic or variable correspond (or do not correspond) to changes in another characteristic or variable. › E.g. a researcher is interested in finding out in whether or not there is any relationship between exercise habits and health status (or between height and weight measurements) for a group of people.
  • 8. Focuses on the identification of causes and effects › E.g. A researcher wants to know if more exercise results in people being healthier, he or she bight design a study where people were assigned to different groups, each of which was led in different amounts of exercise. By comparing the health status of the groups, after some time has passed,the researcher could infer the extent to which differences in exercise cause health status differences in people.
  • 9. Quantitative Data  Qualitative Data › Uses numerical data › Uses verbal reports (e.g. mean, to describe a trait, median) to describe characteristic, or a variable phenomenon
  • 10. Quantitative Data  Qualitative Data › Uses numerical data › Uses verbal reports (e.g. correlation to show how traits coefficient) to show are related to each a relationship other among variables
  • 11. Quantitative Data  Qualitative Data › Uses numerical data › Uses verbal reports (e.g. critical ratio) to to establish a cause establish a cause and effect and effect connection among connection among phenomena variables