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Experimental Method
→ A deliberate change is made to an independent variable in order to measure its effect on the dependent variable
→ Experiments may be laboratory, field, natural or quasi
Aim
→ A general statement of what the researcher intends to investigate, the purpose of the study
Hypothesis
→ A clear, precise, testable statement that states the relationship between the variables to be investigated
Directional Hypothesis
→ Tends to be used when the findings of previous research studies suggest a particular outcome
→ include words such as ‘more’ or ‘less’, ‘higher’ or ‘lower’, ‘faster’ or ‘slower’
→ states the direction of the difference or relationship
Non-Directional Hypothesis
→ Tends to be used when there is no previous research or when findings from earlier studies are contradictory
→ states that there is a difference between conditions or groups of people
→ keywords are difference or affects
Variables
→ any thing that can vary or change within and investigation
→ variables are generally used in experiments to determine if changes in one thing result in changes to another
Independent Variable
→ Some aspect of the experimental situation that is manipulated by the researcher - or changes naturally - so the effect on the DV can be measured
Dependent Variable
→ We measure the effect the Iv has on the DV
Operationalisation
→ clearly defining variables in terms of how they can be measured
Extraneous Variable
→ any variable, other than the independent variable, that may affect the dependent variable if it is not controlled
Demand Characteristics
→ Any cue from the researcher or from the research situation that may be interpreted by participants as revealing the purpose of an investigation
→ This may lead to a participant changing their behaviour within the research situation
Investigator Effects
→ Any effect of the investigators behaviour (conscious or unconscious) on the research outcome
→ This may include everything from the design of the study to the selection of, and interaction with, participants during the research process
Randomisation
→ The use of chance methods (e.g. tossing a coin or random number generators) to control for the effects of bias when designing materials or deciding the order of experimental conditions
Standardisation
→ Using exactly the same formalised procedures and instructions for all participants in a research study
Experimental Design
→ The different ways in which participants can be organised in relation to the experimental conditions
Independent Groups Design
→ Participants are allocated to different groups where each group represents one experimental condition
Repeated Measures
→ All participants take part in all conditions of the experiment
Matched Pairs Design
→ Pairs of participants are first matched on some variables that may affect the dependent variable
→ Then one member of the pair is assigned to condition A and the other to condition B
Random Allocation
→ Participants are allocated to conditions in an independent groups design using a random method to control for participant variables
Counterbalancing
→ An attempt to control for the effects of order in a repeated measures design : half the participants experience the conditions in one order, and the other half in the opposite order
Laboratory Experiment
→ An experiment that takes place in a controlled environment (not necessarily a lab) within which the researcher deliberately changes the IV and records the effect on the DV, whilst maintaining strict control of extraneous variables
Field Experiments
→ An experiments that takes place in a natural setting within which the researcher deliberately changed the IV and the effect on the DV
Natural Experiment
→ An experiment where the change in the IV is not brought about by the researcher but would have happened even if the researcher had not been there
→ The researcher records the effects on a DV
→ May take place in a lab or in the field