Aim - developed from theories and are general statements that describe the purpose of an investigation
Hypothesis - a testablestatement which states the relationship between the variables to be investigated
there are 2 types of hypothesis: directional and non-directional
Directional hypothesis - states the direction of the difference or relationship that is anticipated between two conditions. It includes words such as more, less, higher or lower
We use a directional hypothesis when the findings of previous research suggest a particular outcome
Non-directional hypothesis - simply states there will be a difference between conditions without direction
We use a non-directional hypothesis when there is no previous research or the results are contradictory/inconsistent
Variables - any ‘thing’ that can vary or change within an investigation
Independent variable - the thing the researcher manipulates/changes naturally
Dependent variable - the thing that is affected by what is changed (the independent variable) and is measured by the researcher
Operationalisation - when broad categories are made into clearly defined and measurable variables
In an experiment, the researcher changes or manipulates the independent variable and records/measures the effects this has on the dependent variable
All other variables that might affect the DV should remain constant (control variables) so the researcher can be confident the cause of the effect on the DV is the IV
Extraneous variable - any variable, other than the IV, that may have an effect on the DV, if it is not controlled. extraneous variables do not vary systematically with the IV. This can impact the researcher's interpretation or results
Confounding variable - any variable, other than the IV, that may have an effect on the DV, so we cannot be sure of the true source of changes to the DV. does vary systematically with the IV
Demand characteristics - any cue from the researcher or research situation that may be interpreted by pps as revealing the purpose of the investigation, which may lead to them changing their behaviour
Investigator effects - any effect of the investigator’s behaviour on the research outcome (DV). This may include everything from the design of the study to the selection of and interaction with pps during the research process
There are 2 ways to minimise the effect of extraneous/confounding variables on the outcome: randomisation and standardisation
Randomisation - the use of chance in order to control for the effects of bias when designing materials and deciding the order of conditions.
Standardisation - using exactly the same formalised procedures and instructions for all pps in a research study