Unit 2 Flashcards

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1
Q

Research

A

The systematic investigation into and study of sources in order to establish facts and reach new conclusions.

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2
Q

Research in Psychology aims to be…

A

Systematic and Objective

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3
Q

Empirical Evidence

A

Gained through direct experience — Primary data

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4
Q

Inductive

A

General law based on observations

Ex: The first three Skittles that I dumped out of the bag were purple. All of the Skittles in this bag must be purple.

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5
Q

Deductive

A

Start with theory and develop explanations from that

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6
Q

Scientific Process

A

Hypothesis- Research Prediction
Question- Research aims to answer a question
Reliable- Can it be replicated?
Valid- Does it measure what it sets out to measure?

Ex: Has corona increased anxiety in the elderly?
Hypothesis would be- Corona has increased anxiety levels in those over 75 years old.

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7
Q

Independent Variable

A

An independent variable is defined as the variable that is changed or controlled in a scientific experiment. It represents the cause or reason for an outcome.

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8
Q

Dependent Variable

A

A dependent variable is the variable that is tested and measured in a scientific experiment.

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9
Q

Primary Research

A

Research you conduct yourself

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10
Q

Secondary Research

A

Research based on past findings and not your own data.

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11
Q

Pilot Study

A

Test research on a small group of people before your main research is carried out. Helps things run more smoothly as it finds errors in the study and let’s you rectify them.

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12
Q

Demand Characteristics

A

Participants change their behaviour due to features of the experiment—leaning into what they think the experiment desires of them.

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13
Q

Ecological Validity

A

How true to a real-life situation is the experiment?

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14
Q

Natural Experiment

A

Study of a naturally occurring situation as it unfolds in the real world.

Ex: In Helena, Montana, smoking was banned from all public places for a six-month period. Investigators later reported a 60% drop in heart attacks for the study area during the time the ban was in effect.

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15
Q

Qualitative Data

A

Language (Non-numerical)

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16
Q

Quantitative Data

A

Numbers (Numerical)

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17
Q

Types of Interviews

A

Structured
Unstructured
Semi-structured

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18
Q

Confidentiality

A

This must be respected; names and personal details should not be revealed without permission. No personal data should be stored.

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19
Q

Confidentiality

A

This must be respected; names and personal details should not be revealed without permission. No personal data should be stored.

20
Q

Interview Positives

A

Lots of rich data
Can provide qualitative data
Deeper insight as a relationship will be formed

21
Q

Interview Negative

A

Social Desirability Bias
Interviewer Bias
Hard to analyse results

22
Q

Social Desirability Bias

A

A type of response bias that is the tendency of survey respondents to answer questions in a manner that will be viewed favorably by others. It can take the form of over-reporting “good behavior” or under-reporting “bad”, or undesirable behavior.

23
Q

Interviewer Bias

A

A type of human error committed by interviewers wherein they form baseless judgments about an interviewee. This kind of bias hinders them from assessing a candidate objectively, which greatly affects the purpose of the interview.

24
Q

Questionnaire Positives

A

Can provide both qualitative and quantitative data
Open and closed questions
Can be anonymous (good for ethics)
Hand outs can be given to a lot of people at once so as to not waste your own time

25
Q

Questionnaire Negatives

A

Social desirability bias
No room to get extra information if needed

26
Q

Operationalization

A

Operationalization means turning abstract concepts into measurable observations. Although some concepts, like height or age, are easily measured, others, like spirituality or anxiety, are not.

Through operationalization, you can systematically collect data on processes and phenomena that aren’t directly observable.

27
Q

Extraneous Variable

A

In an experiment, an extraneous variable is any variable that you’re not investigating that can potentially affect the outcomes of your research study.

28
Q

Confounding Variable

A

In research, a confounding variable is an extraneous variable that is related to both the independent and dependent variables, making it difficult to determine whether the independent variable has a causal effect on the dependent variable.

29
Q

Opportunity Sample

A

Uses people from the target population who are available and willing to take part.

30
Q

Random Sample

A

Smaller random group from the target population.

31
Q

Volunteer Sample

A

Participants reply to an advert for the study

32
Q

Systematic Sample

A

People from target population selected at regular intervals

33
Q

Snowball Sample

A

Participants can bring people they know that meet the requirements to also participate

34
Q

Reliability

A

Consistency of the measure. Can the study be replicated and achieve similar results?

35
Q

Validity

A

Trueness or legitimacy of the data. Are you measuring what you intend to measure?

36
Q

Concurrent Validity

A

Comparing a new test with an existing test (of the same nature) to see if they produce similar results. If both tests produce similar results, then the new test is said to have concurrent validity.

37
Q

Ecological Validity

A

Extent to which research can be applied beyond the research setting. People sometimes behave different in controlled environments than they would in their everyday lives.

38
Q

Temporal Validity

A

The extent to which a research finding can be applied to other time periods.

39
Q

Inter-observer Reliability

A

The extent to which two or more observers agree on a measurement.

40
Q

Internal Reliability

A

The extent to which something is consistent within itself (i.e. all the questions in a personality test measure the same thing.)

41
Q

External Reliability

A

The extent to which one measure is consistent over time. (i.e. a persons height.)

42
Q

Correlational Research

A

A correlational study is a type of research design that looks at the relationships between two or more variables. Correlational studies are non-experimental, which means that the experimenter does not manipulate or control any of the variables.

43
Q

Positive correlations

A

Both variables increase or decrease at the same time. A correlation coefficient close to +1.00 indicates a strong positive correlation.

44
Q

Negative correlations

A

As the amount of one variable increases, the other decreases (and vice versa). A correlation coefficient close to -1.00 indicates a strong negative correlation.

45
Q

No correlation

A

There is no relationship between the two variables. A correlation coefficient of 0 indicates no correlation.