Lesson 1: Introduction to Psychological Statistics

Cards (14)

  • is the science concerned with developing and studying methods for collecting, analyzing, interpreting and presenting empirical data.
    Statistics
  • are used to organize or summarize a particular set of measurements; these are employed by the researchers when their purpose is merely to describe a set of data; E.g. graphs, calculation of means (average) and examining the extreme scores
    Descriptive statistics
  • use a random sample of data taken from a population to describe and make inferences about the population.
    Inferential statistics
  • a measure that refers to an entire population; the REAL entities of interest.
    Parameter
  • a measure calculated from a sample of data that we have collected; GUESSES at reality.
    Statistic
  • is used more broadly and is more appropriately termed scales of measurement.
    measurement
  • ways in which variables/numbers are defined and categorized.
    Scales of measurement
  • The four scales of measurement are
    nominal, ordinal, interval, & ratio.
  • Are not really scales at all; they do not scale items along any dimension, but rather label them.
    E.g Male or Female, Republican or Democrat, number in the jersey, etc.
    Nominal Scale
  • This scale orders people, objects, or events along some continuum.
    It also represents an ordered series of relationships or rank order
    Ordinal scale
  • A measurement scale in which we can legitimately speak of differences between scale points. • A scale which represents quantity and has equal units but for which zero represents simply an additional point of measurement.
    Interval scale
  • Highest and most informative scale; With these scales, we have the properties of not only the preceding scales but we also can speak about ratios. E.g. length, volume, time, etc.
    Ratio scale
  • involves randomly selecting a number of participants from a group.
    simple random sample
  • requires randomly selecting participants from different subsets of the population. These subsets might include characteristics such as geographic location, age, sex, race, or socioeconomic status.
    stratified random sample