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PSY 307 Statistics for the Behavioral Sciences

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Title: PSY 307 Statistics for the Behavioral Sciences


1
PSY 307 Statistics for the Behavioral Sciences
  • Chapter 1

2
What is Statistics
  • A tool for discovering relationships and patterns
    in data.
  • A way of describing and comparing behavior of
    groups.
  • A way of presenting and supporting arguments
    empirically.

3
Two Kinds of Statistics
  • Descriptive statistics tools for organizing and
    summarizing observations.
  • Tables, graphs, averages
  • Inferential statistics tools for generalizing
    beyond the actual observations.
  • Hypothesis tests (t-test, ANOVA)

4
Two Types of Data
  • The type of statistic used depends on whether
    data are numbers or words (or codes).
  • Quantitative any single observation is an
    amount or a count.
  • Ranks relative standing, order
  • Qualitative any single observation is a class
    or category.

5
Numerical Codes
  • When data consists of classes or categories,
    sometimes numbers can be used to replace category
    names.
  • Male 1, Female 2
  • Yes 1, No 2

6
What is a Variable
  • Variable a characteristic or property that can
    take on different values.
  • Constant an observation that has only one
    value.
  • Any single observation in a data set.

7
Types of Variables
  • Discrete isolated numbers separated by gaps.
  • Most counts
  • Continuous values have no restrictions.
  • Weight, reaction times
  • Rounded off continuous variables are approximate.
  • Rounding creates gaps.

8
Variables in Research
  • Independent variable the variable manipulated
    by the investigator.
  • May be used to define groups.
  • Used to test hypotheses about causation.
  • Dependent variable the variable measured,
    counted, or recorded by the investigator.
  • The outcome.
  • Confound an uncontrolled variable that varies
    with the independent variable.

9
Multiple Dependent Variables
  • Sometimes variables of interest cannot be
    manipulated (e.g., sex, poverty) but only
    measured.
  • Correlation studies -- studies with multiple
    dependent variables.
  • Goal is to identify relationships among the
    dependent variables measured.
  • Often used in observational research.
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