Experiments; Ethical Considerations (General)
Self-Reports; Case Studies; Correlation; Observations
Research Processes; The Definition, Manipulation, Measurement, and Control of Variables; Ethical Considerations (Animals)
Sampling of Participants; Data and Data Analysis; Evaluating Research: Methodological Issues
100

State what an experiment is.

An investigation looking for a causal relationship in which an independent variable is manipulated and is expected to be responsible for changes in the dependent variable

100

Explain the difference between a structured, unstructured, and semi-structured interview.

  • Structured (fixed questions)

  • Unstructured (questions depend on the answer of the respondent)

  • Semi-structured (fixed and unwritten questions)

100

State what operationalisation is.

Operationalisation: defining variables to accurately manipulate, measure, quantify, and replicate.

100

State what quantitative and qualitative data are.

- Quantitative Data: data in numerical format.
- Qualitative Data: data written in a non-numerical format that often expresses a quality or opinion.

200

Name one method that aids in reducing the effects of participant variables and one method that helps in reducing order effects.

Answers may vary. Examples include: random allocation, using repeated measures design for reducing the effects of participant variables; counterbalancing for reducing order effects

200

Millicent and Martha are planning a case study to investigate responses to emotional situations. Suggest three techniques that they might use in their case study.

Questionnaire, interview, observation.

200

Explain why pilot studies are conducted.

Pilot studies are conducted to analyse the technical and financial risks and to assess the feasibility of the study. Any plausible confounding variables are found and controlled to ensure it does not affect the real trial.

200

What is the measure of central tendency?

- The measure of central tendency: a mathematical way to find the average score from a data set using the mode, median, and mean.

300

Describe the difference between an extraneous variable and a confounding variable.

An extraneous variable is a variable which either acts randomly, affecting the DV in all levels of the IV or systematically, i.e. on one level of the IV (called a confounding variable) so it can obscure the effect of the IV, making the results difficult to interpret.

300

When do we use correlation in research?

  • Can be used as a basis for prediction

  • If variables are related, they may have a causal relationship

  • Test-retest reliability

300

Explain the animal-related ethical guideline of housing.

Housing: Isolation and crowding can cause animals distress. Caging conditions should depend on the social behaviour of the species. Overcrowding ➔ distress & aggression.

300

What is the difference between ecological validity and generalisability?

Answers may vary.

400

Explain the 7 ethical considerations.

Answers may vary, but must explain: informed consent, right to withdraw, privacy, confidentiality, debriefing, protection from harm (psychological and physical), and deception.

400

State 1 strength of each type of observation.

  • Answers may vary. Answers may include:


    • Naturalistic observation: participants' behaviour is observed in their natural environment without it having any manipulations from the researcher.

    • Controlled Observation: participants’ behaviour is observed in a setting that has been manipulated by the researcher (maybe in the participants’ natural environment).

400

Describe the three different types of hypotheses.

  • Non-directional hypotheses: predicts that there will be a relationship between the variables, but does not specify the direction of the relationship.
  • Directional hypotheses: predicts that there will be a specific relationship between the variables.
  • Null hypotheses: any relationship that is found between the variables is purely due to chance.
400

Compare and contrast standardization, reliability, and validity.


Standardization: keeping the procedure for each participant in an experiment (or interview) exactly the same. 

Reliability: the extent to which a procedure, task or measure is consistent. 

Validity: the extent to which the researcher is testing what they claim to be testing

500

Big Pharma Drug Company is conducting research of their new drug Attendomax to improve the note-taking behaviour of college students diagnosed with Attention Deficit Hyperactivity Disorder. Fifty of the students receive capsules containing Attendomax, another fifty receive capsules which look the same but actually contain the drug Ritalin which has been used for many years. In a classroom, all students attend the same series of lectures and have their notes collected afterwards. Notes are scored for completeness and accuracy. 


IV: 

DV: 

Extraneous Variable: 

Confounding Variable: 

Participant Variable: 

Control Condition: 

Experimental Condition: 

Research Design: 

Types of Experimental Research: 

Answers may vary. Example includes:

  • IV: The type of drug being given/the presence and absence of Attendomax 

  • DV: The completeness and accuracy of the participants’ lecture notes (and thus the note-taking behaviour of the participants) 

  • Extraneous Variable: The class environment (e.g. the noise levels, how well the A.C. works, the temperature levels, etc.), the conduciveness of the learning space 

  • Confounding Variable: How each participant consumes the drug, and how each of their bodies may react to the drug (e.g. the speed) 

  • Participant Variable: Where the person is on the ADHD spectrum (how much they "mask"), how much the person enjoys/is interested in the class, how much the person enjoys/is good at taking notes in the first place (as some people don't need to take notes in class to remember the information; they can just memorize it through their auditory senses), each participant's reaction to either Attendomax or Ritalin (including reaction time) 

  • Control Condition: Being given Ritalin 

  • Experimental Condition: Being given Attendomax 

  • Research Design: Independent measures 

  • Types of Experimental Research: Field experiment

500

State 2 strengths and 2 weaknesses of implementing the case study method.

  • Strengths:

    • The data collected is highly valid.

    • The researcher builds rapport with the subject, making it likely for them to open up and provide true information.

    • The subject is less likely to show demand characteristics as case studies are longitudinal studies.

  • Weaknesses:

    • The researcher’s findings may be biassed due to the close relation with the subject.

    • The data is low in reliability and replicability.

    • The data is only internally valid.

500

Explain 3 ethical guidelines related to animals.

  • Replacement: try to use alternatives such as video recordings instead of animals.
  • Species and strain: chosen species/strain should be least likely to suffer pain. Whether they were socially housed or participated in other studies.
  • The number of animals: minimum no. of animals required should be used.
  • Pain and distress: research causing any form of physical, emotional, or psychological harm should not be conducted.
  • Housing: Isolation and crowding can cause animals distress. Caging conditions should depend on the social behaviour of the species. Overcrowding ➔ distress & aggression.
  • Rewards, deprivation, and aversive stimuli: Normal drinking and feeding patterns of the animal should be followed. Preferred food should be used as a motivator, rather than deprivation.
  • Anaesthesia, analgesia, and euthanasia: During surgery, anaesthesia and analgesia should be used. If the animal suffers lasting pain, it should be euthanised.
500

State 1 strength and 1 weakness of each type of sampling.

  • Opportunity sampling: participants are chosen because they are available.
    Strengths – Quicker and easier than other methods.
    Weakness – Likely to be non-representative, as people from the same area may be a biased sample.
  • Volunteer (self-selecting) sampling: participants are invited to participate. Those who reply will be part of the sample.
    Strengths – participants are likely to stay committed and would be willing to return for repeated testing.
    Weakness – The sample may be unrepresentative because people who respond may be similar (they may have free time).
  • Random sampling: all participants are chosen randomly. Could be with a draw, or random number generator.
    Strengths – The sample is likely to be representative of the target population as all type of people has an equal chance of being chosen.
    Weakness – Everyone may not be equally chosen. For example, there could be more girls chosen randomly than boys.
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