research methods-book 1 Flashcards

(38 cards)

1
Q

What is an aim?

A

A general statement of what the research intends to investigate.
The purpose of the study.

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2
Q

What is a hypothesis?

A

A clear, precise, testable statement that states the relationship between the variables being investigated.
Predicts the outcome of the study.

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3
Q

What is a directional hypothesis?

A

Will state the direction of the difference.
“more”, “less”, “higher”, “lower”, “worse”, “better”

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4
Q

What is a non directional hypothesis?

A

Will state a difference but not what this will be.
Not specific.

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5
Q

What do you need when writing a hypothesis?

A
  • Need to consider past research
  • If there has been previous research that already suggests an outcome use a directional hypothesis.
  • If there is no previous research use a non directional hypothesis.
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6
Q

Give reasons why experiments are used in psychology?

A
  • To form conclusions.
  • To prove a hypothesis.
  • Education purposes.
  • Introduce new information/explanations.
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7
Q

What are experiments?

A

An experiment is a scientific procedure undertaken to make a discovery, test a hypothesis or demonstrate a known fact.
All experiments involve a change in an independent variable with the research measuring the dependent variable.
How the independent variable changes and under what circumstances depends on what experiment you use.

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8
Q

Describe lab experiments and the strengths and weaknesses.

A

Description:
-high control.
- Conducted in a highly controlled environment.
- Not always a lab.
Strengths:
- Safety.
- Other factors can be minimised - cause and effect.
Weaknesses:
- Unnatural behaviour - demand characteristics .
- Participants know they are being observed.

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9
Q

What are demand characteristics?

A

Demand characteristics are when participants start to behave in a way they think the researcher wants them to.

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10
Q

Describe field experiments and the strengths and weaknesses.

A

Description:
- Medium control.
- Natural environment.
- Can control some elements but does take place in the participants natural environment.
Strengths:
- No/less demand characteristics.
- More likely to reflect real life - more valid.
Weaknesses :
- Ethical issues - consent.
- Can’t control everything - extraneous variables.

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11
Q

Describe natural experiments and the strengths and weaknesses.

A

Description:
- Low control.
- Takes place in a natural setting/natural occurring event.
Strengths:
- Research unethical situations.
- High external validity - can be applied to real life.
Weakness:
- Rare opportunity.
- No control.
- Unpredictable.

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12
Q

Describe quasi experiment and the strengths and weaknesses.

A

Description:
- Low control.
- Experimenter looks at a naturally occurring event between people that can’t be changed.
- Variables just exist. e.g. age.
Strengths:
- Lab conditions - easily replicable - reliable.
- Natural - real life.
Weaknesses:
- Takes time.
- Might have to wait for changes.

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13
Q

What is a true experiment?

A
  • Only lab and field are true experiments.
  • Have control over independent variable.
  • Needs a control group and experimental group.
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14
Q

What is an independent variable?

A

The variable that is manipulated/changes in an experiment.
It can influence the dependent variable.

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15
Q

What is a dependent variable?

A

The variable that is measured in the experiment.
It is influenced by changes in the independent variable.

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16
Q

What is an extraneous variable?

A

Any variable other than the independent variable that can effect the dependent variable if not controlled.

17
Q

What is a confounding variable?
“confused”

A

Any variable other than the independent variable that may have an effect on the dependent variable, but researchers are unsure of the true source of changes to the dependent variable.

18
Q

What is operationalisation?

A

Clearly define variables in terms of how they can be measured.

19
Q

What is a control group?

A

A group of participants that are treated normally to give researchers a measure of how people behave when not exposed to experimental conditions.

20
Q

What two groups can extraneous variables be divided into?
and give examples of each.

A

Participant (individual differences) and situational (environment).
Examples of participant:
- Age, Gender, Hunger level, Intelligence, Personality, Motivation, Concentration, Instructions.
Examples of situational:
- Noise, Weather, Temperature, Time of day, Lighting, Instructions.

21
Q

What are experimental designs?

A

The difference ways in which the testing of participants can be organised in relation to the conditions.

22
Q

What is counterbalancing?

A

An attempt to control order effects (the order of conditions can impact the outcome) in a repeated measured design.

          Group A:                                                            Group B: Learn words + Loud noise                             Learn words + No noise  Learn words + no noise                                 Learn words + Loud noise
23
Q

What are the three experimental designs?

A
  • Repeated Measures.
  • Matched Pairs.
  • Independent Groups.
24
Q

Describe repeated measures and the strengths and weaknesses.

A

Participants experience both conditions of the experiment.
Mean scores of both conditions are compared to see if there was a difference.
Strengths:
- No individual differences.
- Confounding variables reduced.
- Fewer participants.
Weaknesses:
- Order effects - differences in participant responses that result from the order. e.g. 1st, 2nd, 3rd.

25
Describe matched pairs and the strengths and weaknesses.
Pairs of participants are matched on similar participant variables. One participant in Condition A and the other in Condition B. Attempts to control confounding variables. Strengths: - Individual differences are reduced (participant variables). - Avoid order effects. Weaknesses: - Time consuming. - Impossible to remove all individual differences.
26
Describe independent groups and the strengths and weaknesses.
Participants are allocated to different conditions. They only experience one level (condition) of the independent variable. Strengths: - Less demand characteristics as you are less likely to guess the aim. Weaknesses: - More participants. - More participant variables.
27
What is a sample?
A sample is a group of people who take part in a research investigation. The sample is drawn from a target population and is presumed to be representative of that population. For example, does it stand "fairly" for the population being studied. However, most samples contain some level of bias due to the diverse nature of people within the population.
28
What is a population?
A population is the large group of individuals that a particular researcher is interested in studying. For example, students attending colleges in the northwest, children under 6 with autism, women in their 30's,etc. This is often called a target population because it is a subset of the general population.
29
What does representative mean?
The target population matches the sample in terms of key variables.
30
What does generalisation mean?
When groups researched respond to stimuli in a similar way representing the population. - Produce similar results.
31
What does bias mean?
A group is over or under represented. - Too many or not enough of a variable, e.g. gender,culture.
32
What does target population mean?
The entire group a researcher is interested in. e.g. all of Year 12.
33
What are the five sampling methods?
- Random Sampling. - Opportunity Sampling. - Systematic Sampling. - Volunteer Sampling. - Stratified Sampling
34
What is random sampling? and evaluation.
Every member of the target population has an equal chance of being selected. e.g. names in a hat or a random online generator. Evaluation: - High effort - time consuming. - Low bias due to equal chance. - Highly representative.
35
What is opportunity sampling? and evaluation.
Sample consists of who ever happens to be available at the time. Evaluation: - Low effort. - High bias. - Not representative as you may not research participant variables fairly (extraneous variables).
36
What is systematic sampling? and evaluation.
Researcher picks participants according to a system. e.g. every third person on a list. Evaluation: - Medium level of effort. - Medium level of bias. - Medium level of representation.
37
What is volunteer sampling? and evaluation.
People who opt in to be participants. Evaluation: - Low effort for the researcher. - High bias due to demographics of those volunteering. - Low representation.
38
What is stratified sampling? and evaluation.
Target population is broken down into demographics. Participants are selected from each demographic. Evaluation: - High effort - time consuming. - Low bias due to each demographic being represented - high representation.