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Statistics

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Title: Statistics


1
StatisticsChapter 2
  • Levels of Measurement

2
Classifying Variables by Levels of Measurement
  • Levels of measurementthe way researchers collect
    data
  • Survey instrument mail, phone, face-to-face, or
    internet
  • As the instrument is developed, decisions need to
    be made about how to collect data and what data
    to collect

3
ExampleAge 1
  • Age can be provided by selection from a
    particular range in a category, or (as in General
    Social Survey (GSS)) by providing date of birth

4
Categorical vs Numerical variables 2
  • Categorical variables variables for which data
    are gathered in response categories that have
    been set up or predetermined by the researcher.
  • Numerical (or scale) variables Variables for
    which data are gathered as numbers with no
    attempt by the researcher to precategorize the
    answers

5
Categorical variables 3
  • Demographic variables
  • SexMale, female
  • Race Black, white and other
  • Marital status married, widowed, divorced,
    separated, never married

6
Categorical variables
  • Attitude variablesData almost always gathered in
    categories
  • (ex/book) How important is it for teens to be
    given a strong message from society that they
    should abstain from sex until they are at least
    out of high school
  • Very important
  • Somewhat important
  • Not too important
  • Not at all important

7
Categorical variables
  • Discussion about morals
  • If a man and a woman are in their early teens,
    say 14 to 16 years old is sex before marriage
  • Always wrong
  • Almost always wrong
  • Wrong only sometimes
  • Not wrong at all

8
Categorical variables
  • Behaviors
  • Have you ever had sex with someone other than
    your husband or wife while you were married?
  • Yes
  • No
  • Never married

9
Numerical variables
  • How many brothers and sisters do you have? Please
    count those born alive but no longer living, as
    well as those alive now. Also include
    stepbrothers, stepsisters, and children adopted
    by your parents
  • How many children have you ever had? Please count
    any that were born alive at any time (including
    any you had from a previous marriage)

10
Types of numerical variables
  • Ratio variables numerical variables having 3
    characteristics
  • Zero is meaningful, representing the absence of
    the characteristic being measured (ex/ if 0 is
    the answer to How many brothers and sisters do
    you have, can assume you have no brothers or
    sisters)
  • The distance between each unit on the scale are
    the same or constant (ex/ age)
  • The distance between each of the units must be
    proportional

11
Types of numerical variables
  • Interval variables numerical variables having 3
    characteristics
  • Zero is either not used or does not indicate the
    absence of the characteristic (Ex/ IQno true
    zero Temperature (F,C)--zero does not mean the
    absence of temperature (K)zero is absence of
    heat)
  • Pp. 41-42 Avoiding common pitfalls

12
Types of categorical variables
  • Nominal variables categorical variables which
    are measured in such a way that the categories
    indicate differences among respondents (ex/ race,
    sex)
  • Ordinal variables categorical variables having
    some inherent rank, hierarchy or order these
    could represent feelings (stronger or weaker),
    attitudes (more favorable or less favorable),
    frequency of an action or activity, how long
    something has been happening, how much of
    something someone has (such as money)

13
Types of categorical variables
  • Commonly used answer scales for ordinal variables
  • Very important, somewhat important, not too
    important, not at all important
  • Always wrong, almost always wrong, wrong only
    sometimes, not wrong at all
  • Total household income
  • Common pitfallsp44
  • Skills practice 2, pp 45-46

14
Discrete and continuous variables
  • Discrete Can be counted(ex/ number of brothers
    and sistersunits of 1)
  • Continuous The variables that have a
    characteristic being measured which is infinitely
    reducible (ex/ ageyears, hours, minutes,
    seconds, fractions of seconds)
  • P. 48-49 Figure 2.2
  • Common pitfallsp49

15
Homework
  • Read pp. 35-50
  • Do p. 51-53// General Exercises 1,3
  • Hand in Thursday p 53//General Exercise 2, P.
    53//SPSS 1
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