Identify the design (e.g., 2 X 2 factorial). Identify the total number of condit
ID: 3048751 • Letter: I
Question
Identify the design (e.g., 2 X 2 factorial).
Identify the total number of conditions.
Identify the manipulated variable(s).
Is this an IV X PV design? If so, identify the participant variable(s).
Is this a repeated measures design? If so, identify the repeated variable(s).
Identify the dependent variable(s).
An investigator was interested in the effects of various treatments on reduction of fear in phobic participants. He suspected that type of phobia may interact with therapeutic treatments; specifically, that the types of treatments for agoraphobics (fear of open spaces) and claustrophobics (fear of closed spaces) might be different. He divided participants into two groups based upon type of fear and then assigned members of each group to treatment groups: desensitization, insight, or implosive therapies. After three months of treatment, participants’ anxiety in the feared situation was measured.
Explanation / Answer
Design 1:
Independent Variable : Person's hair length
Dependent Variable: Judgement on employebility
Possible effects: The Person's hair length is indirectly propotional to Judgement on employbility. if person hair are too long than employer would not hire the person.
Possible interaction: Both dependent and independent variables are negative interaction.
Solution 2:
Independent Variable : exposure, desensitization, insight or psychodynamic therapy
Dependent Variable: Reduction of fear on phobic participants
Possible effects: Possible main effects are Pobic participants fear can be reduced or not from the exposure, desensitization and insight or psychodynamic.
Possible interaction: Possible interaction would be Positive that fear of phobic paticipants will be decreased.
Solution(3):
Independent Variable : Function of alcohal consumption and road conditions
Dependent Variable: Night driving reactions
Possible effects: Night driving reactions are positively correlated with the alcohal consumptiona and road conditions.
Possible interaction: If someone drunk much than this can cause for accident.
Solution4:
Independent Variable : Consumption of calories
Dependent Variable: Dedication to person's healthy lifestyle
Possible effects: If person takes appropriate no. of calories than he is dedicated to healthy lifestyle. If he/she is taking too much calories than he/she is not dedicated to healthy lifestyle.
Possible interaction: Person calories and healthy lifestyle are negatively correlated with each other.