Observational Research

Cards (141)

  • Observational research
    The viewing and recording of a predetermined set of behaviors
  • Observational research
    • Does NOT incorporate external validity
    • Does NOT incorporate ecological validity
  • External validity
    The extent to which study findings can be generalized outside the data collection setting to other persons, in other places, at other times
  • Ecological validity
    The degree to which the research situation re-creates the psychological experiences that participants would have in real life
  • Coding system
    A set of rules to help guide how the researcher classifies and records the behaviors under observation
  • Duration recording
    Recording the length of time a target behavior occurs
  • Frequency-count recording

    Recording each time a target behavior occurs
  • Observation schedule
    A hard-copy document, or electronic form, on which observers note the particulars of the behavior or phenomenon they are observing
  • Inter-observer reliability
    The level of agreement between two observers coding the same phenomenon, also known as inter-rater reliability
  • Intra-observer reliability
    The extent to which a SINGLE observer consistently codes a phenomenon
  • Reliability goal: acceptable agreement
  • Pilot testing
    A trial run used to test and refine the design, methods, and instruments of a study prior to carrying out the actual research
  • Continuous recording
    A procedural method for recording observations that involves recording all the behavior of a target individual during a specified observation period
  • Interval recording
    A procedural method that involves dividing the observation time into smaller intervals and recording the occurrence or non-occurrence of the target behavior during each interval
  • Contrived observation

    Artificially introducing a variable of interest and unobtrusively observing the outcome
  • Descriptive statistics
    Statistics that describe or summarize quantitative information
  • Categorical variable
    A variable with a finite number of different values
  • Continuous variable

    A variable with an infinite number of different values between two given points
  • Frequency distribution
    A graphical depiction of the distribution of scores in a data set
  • Normal distribution

    • Represents the ideal distribution of scores in a population
    • Symmetrical
    • Basis of statistical testing
  • Kurtosis
    Refers to the distribution of scores relative to the middle
  • Skewed distribution
    • Only one pronounced tail
    • Measure of the degree of asymmetry
  • Mode
    The most frequently occurring score in a distribution
  • Bimodal
    Having two modes, more difficult to analyze
  • Median
    The score at the 50th percentile (50% of the scores at or below the median)
  • Calculating the median
    1. For small N, discrete data with odd number of scores: median is the middle score
    2. For small N, discrete data with even number of scores: median is the halfway point between the 2 middle scores
  • Mean
    • The most commonly used measure of central tendency
    • Refers to the score located at the mathematical centre of a distribution
  • Measures of variability
    Describes the extent to which scores in a distribution differs from each other
  • Range
    The distance between the 2 most extreme scores in a distribution
  • Variance and standard deviation
    • Measures to describe differences between scores
    • Based on the normal distribution (with respect to the mean)
  • Score deviation
    The "distance" between an individual score and a sample mean
  • Calculating unbiased estimate of population variability
    Use N-1 degrees of freedom
  • Standard deviation and area
    68% of the scores in a distribution are within of + 1SX of the mean
  • Coefficient of variation
    • Used for interval or ratio data
    • Variation as a proportion of the mean
    • Unitless - independent of the units of measurement
  • Normal distribution and z-score
    • Assess relative position of each unit in the sample
    • Eliminates unit of measurement
  • Percentages and proportions
    Frequency - counting the number of times a score occurs
  • Calculating percentage
    Percentage = (f/n) x 100%
  • Calculating proportion
    Proportion = f/n
  • Ratios
    Compares the relative sizes of categories, i.e., part to part
  • Rates
    Number of actual occurrences of some phenomenon divided by the number of possible occurrences per some unit of time