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Lesson 2. Recap  Hypotheses  IV and DV  What if something other than the IV affects the DV?  Why is this a problem?

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Presentation on theme: "Lesson 2. Recap  Hypotheses  IV and DV  What if something other than the IV affects the DV?  Why is this a problem?"— Presentation transcript:

1 Lesson 2

2 Recap  Hypotheses  IV and DV  What if something other than the IV affects the DV?  Why is this a problem?

3 Extraneous and confounding variables  Extraneous – controlled in a study  If they are not controlled they can be confounding variables  Confounding – variables that may have caused the results other than what was manipulated ---- > An experiment that fails to take a confounding variable into account is said to have poor internal validity.  Confounds the results in such a way that you are no longer measuring the effect of IV on the DV  Extraneous variable need to be controlled or variables that are not able to be controlled (e.g. Mood!)  These can be divided up into two types – Situational and participant variables

4 Extraneous Variables 1. Identify the IV and DV 2. Operationalise variables 3. Identify EV 1. A psychologist wants to investigate whether students who complete their 4 hours of independent study per week do better in the psychology exam than those students who only complete 1 hour per week... 2. An experiment to see if recall on a memory test is affected by time of day 3. Does drinking coffee whilst revising improve exam results? 4. An experiment to investigate the effects of fatigue on reaction time

5 Situational participant variables  Examples  Lighting, noise, temperature, time of day, disturbances  These should all be controlled or eliminated if possible  WHY is this important in an experiment?  Controlling extraneous variables means they are held constant for all participants so that the variables affect everyone equally.

6 Participant Variables  How can participants affect the results of a study?  Motivation, personality, background, personality, intelligence, gender, age etc.  What is easier to control? Why?  Controlling variables:  Controlling variables: Only necessary if those variables might have an unwanted impact on the DV.  Example?

7 List some situation and participant variables for the following examples. How you would control/eliminate them?  An investigation into sporting experience and the ability to shoot a hole in one with a basketball  An investigation to see if rehearsal was a better memory technique to learn a list of digits than creating a mental picture of the digits Worksheet:

8 Laboratory experiments - practice  Plan a laboratory experiment:  based on this theory: ‘different levels of praise affects the time children spend washing dishes.’  Aim?  Hypotheses  Experimental  Null  Directional? Non-Directional?  What type of setting should this take place in? Why?  What will your IV and DV be? Which variable is manipulated?  Which variables are controlled in laboratory experiment?  Participant and situation variables – examples?  What is the aim of a lab experiment?  Define cause and effect  To find a cause and effect conclusions

9 Experimental research designs  How are the participants sorted into groups to study them? 1. Independent groups design? 2. Repeated measures? 3. Matched pairs?

10 H/W Strengths and weaknesses of research designs Independent groupsRepeated measuresMatched pairs Definition Strength Weakness

11 Strengths and weaknesses of research designs Independent groupsRepeated measuresMatched pairs Definition Strength Weakness

12 Practical tip!  When carrying out an experiment with repeated measures design, make sure you use counterbalancing or using randomisation when allocating conditions to participants  Counterbalancing: Counterbalancing is a method of controlling for order effects in a repeated measure design by either including all orders of treatment or randomly determining the order for each subject.  E.g. one participants takes part in 1 st condition first then second participants takes part in 2 nd condition 1 st – there fore order effects may even out.  Randomisation: Order is randomised. I.e. there are 2 conditions and a coin is tossed to see which condition the participant takes part in first. Should cancel out order effects.

13 H/W Compare lab experiments with field experiments using strengths and weaknesses. (12 marks)


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