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Human Inquiry and Science

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Human Inquiry and Science. Holographic Overview. Questions for Discussion. What are the common errors of human inquiry? What are quantitative and qualitative data? ... – PowerPoint PPT presentation

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Title: Human Inquiry and Science


1
Human Inquiry and Science
  • Holographic Overview

2
Questions for Discussion
  • What are the common errors of human inquiry?
  • What are quantitative and qualitative data?
  • What are independent and dependent variables?
  • What is the relation of attributes?

3
Searching for answers
  • Human Inquiry aimed at answering what and why
    through observations and experiences
  • Tradition accepting what everyone knows
  • Authority judgment of an expert

4
Errors
  • Inaccurate Observations
  • Measurement devices
  • Overgeneralization
  • Large and representative samples
  • Replication repeat and check
  • Possibly vary conditions
  • Selective Observation
  • Illogical Reasoning
  • Be careful with contradictions

5
A Variable Language
  • Variable a logical set of attributes
  • Attribute characteristic
  • Example
  • Common Social Concepts
  • See examples on page 15

6
Dependent and Independent Variables
  • Use common sense and everyday language
  • Dependent variables are determined or caused by
    something depends on something else
  • Independent variables have no dependence they
    are what they are

7
Idiographic and Nomothetic
  • Idiographic seeks to explain a particular
    situation
  • Limited to the single case
  • Nomothetic seeks to explain a class of
    situations
  • Generalizability

8
Inductive versus Deductive
  • Inductive from a set of specific observations to
    the discovery of a pattern that represents some
    degree of order among all the given events
    particular to general
  • Deductive from a pattern that might be logically
    or theoretically expected to observations that
    test whether the expected pattern actually occurs
    general to specific

9
Numerical versus Nonnumerical
  • Quantitative data are numerical
  • Qualitative data are nonnumerical
  • Both are useful for different purposes
  • Can be used in conjunction with one another
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