Variable, Aims and Hypothesis

Cards (17)

  • Independent variable:
    • a factor that is directly manipulated by the experimenter to observe the effect of this on the dependent variable.
  • There are at least two levels of the IV (groups/conditions).
  • Dependent variable:

    • the variable that is measured by the experimenter.
  • What is operationalising?
    • Operationalization means turning abstract concepts into measurable observations. E.g. what the levels of IV are or how we are going to measure the DV.
  • Extraneous variable:
    • it is any other variable other than the IV that might have a potential affect on the DV - therefore producing invalid results.
  • Extraneous variables can include both participant and situational variables.
  • Participant variable:
    • Characteristics of the participants - age, intelligence etc. which may have an affect on DV.
  • Situational variable:
    • features of the environment - distracting noise, time of day etc. which may impact the DV.
  • Research aim:
    • a general statement about the purpose of the study and what it intends to find out from the research.
    • its will be phrased like - 'to investigate whether'
  • Hypothesis:
    • it is a statement predicting the outcome of a piece of research.
  • 2 Types oh hypothesis:
    • alternative hypothesis - includes one-tailed (directional) and two-tailed (non-directional) hypothesis.
    • null hypothesis
  • Alternative hypothesis:
    • predicts a difference or a correlation. Predicts the IV does have a significant effect on the DV.
    • e.g. 'there will be a significant difference...'
  • Null hypothesis:
    • predicts no difference or correlation. Predicts IV has no effect on DV.
    • e.g. 'there will be no significant difference...'
  • Rules of writing a hypothesis:
    1. statement about the predicted relationship - identify both the IV and DV.
    2. include all levels of the IV.
    3. IV and DV in the hypothesis must be operationalised.
  • One-tailed (directional) hypothesis:
    • states the expected direction of the difference.
  • Two-tailed (non-directional) hypothesis:
    • does not state the expected direction of difference.
  • Rough formula for writing hypothesis:
    • null - 'there will be no significant difference in the [DV] of [IV condition 1] compared to [IV condition 2]'.
    • two-tailed - 'there will be a significant difference in the [DV] of [IV condition 1] compared to [IV condition 2]'.
    • one-tailed - 'participants who [IV condition 1] will [DV] more/less than participants who [IV condition 2].'