Lecture 4.1 Flashcards

(53 cards)

1
Q

What is primary research?

A

Research collected directly by researchers with data collected directly from the sources to address a specific hypothesis/question of interest.

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2
Q

What is secondary research?

A

Research conducted on already collected data, often involving synthesis or interrogation of existing datasets to answer a specific hypothesis/question of interest.

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3
Q

What is randomisation?

A

A process where effects can’t be due to pre-existing differences.

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4
Q

What are experimenter effects?

A

The influence of researchers on participants and the interpretation of results.

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5
Q

What do statistics influence?

A

How the data is analysed will impact on what conclusions we’re able to draw from studies.

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6
Q

What is the placebo effect?

A

When an improvement in symptoms is observed despite a participant taking a non-active treatment.

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7
Q

What is involved in conditioning?

A

Associate a behaviour with a specific response.

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8
Q

How do expectations play a role in drug trials?

A

Prior expectations influencing perceptions of effects.

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9
Q

What are no blinding trials?

A

Both experimenter and participant know.

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10
Q

What are single-blind trials?

A

Experimenter knows, but participant doesn’t.

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11
Q

What are double-blind trials?

A

Neither the experimenter or participant know.

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12
Q

What are triple-blind trials?

A

No one involved knows.

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13
Q

What is the orienting reflex?

A

Novelty alters your response.

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14
Q

What is the Hawthorne effect?

A

Being observed in an experimental environment changes your response.

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15
Q

What is responder bias?

A

Saying what you think the researchers want to hear.

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16
Q

What are errors?

A

Going ‘off script’. Recording data and data entry. Analysing data using statistics or other methods.

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17
Q

What is a Type I error?

A

Corrections made to the critical value to account for the number of comparisons for a variable of interest.

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18
Q

What are the 2 main categories of methods in obtaining knowledge?

A

Primary and secondary.

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19
Q

Descriptive research informs what?

A

The ‘who’, ‘what’, ‘when’, ‘where’.

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20
Q

What can descriptive research not explain?

A

‘Why’.

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21
Q

What does descriptive research help in identifying?

A

Trends in data.

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22
Q

What is anecdotal research used for?

A

Explaining observations, often based on personal experience.

23
Q

Is anecdotal subjective or objective and why?

A

Subjective, where observations are based on the self or based on observation of others.

24
Q

What is the major limitation of anecdotal research?

A

It cannot address causation and is not representative of the population of interest.

25
Anecdotal research.
26
What does case study research do?
Helps learn as much as possible about the cases in question and provides a conclusion about what happened in the context it's investigated in.
27
What does case study research help us learn about?
Individual or small group.
28
What is the major limitation of case study research?
It cannot address causation and is not representative of the population of interest.
29
When is survey research used?
To understand individual or group perspectives about a concept or topic of interest.
30
What are the 3 main things that survey research helps with?
Gaining a better understanding about different populations. Identifying problems or concerns respondents have. Gauging general trends or perspectives about a topic.
31
Which research approach is more considered and why?
Survey, in that each question is designed to obtain a specific piece of information.
32
What are the strengths of survey research?
Can remove subjectivity. Larger samples. Reduces error variance. Makes results more representative/generalisable. Linked with clear hypotheses. Identifies subtle trends.
33
What are the 2 major weaknesses of survey research?
Cannot determine causation and shows associations between variables but not which direction they flow in.
34
Experimental research is what determines what?
Causation.
35
What are the 2 main confounds of interest?
Experimenter effects and statistics.
36
What are the considerations under experimenter effects?
Placebo effects. Efficacy. Blinding. Orienting reflex. Hawthorne effect. Responder bias. Errors.
37
What are the considerations under statistics?
Multiple comparisons. Data sources.
38
Placebo effects may occur as a result of what?
Conditioning and Expectations.
39
Is placebo response rate usually high or low?
High.
40
Why are placebos crucial to psychopharmacological research?
They're far more psychologically equivalent to treatment than psychotherapy.
41
In blinding, if there's no knowledge of which treatment is which (subconscious or not), …?
…any effects should be the same for treatment and placebo conditions.
42
What areas of research is blinding particularly important for?
All aspects of research, including subject management, data collection, data analysis (statistics), adverse events.
43
What are the 4 types of blinding?
No blinding. Single blind. Double blind. Triple blind.
44
When should blinding happen in a drug trial?
Once participants are enrolled in the trial.
45
Preparing for if something may go wrong, what are some protocol considerations?
Decision to break the blind. Maintaining blinding. Unblinding protocols.
46
What premise are multiple comparisons founded on?
That two groups of scores will (almost) always differ, even by a small amount.
47
What error should be considered in multiple comparisons?
Type I error.
48
What are examples of data sources?
Individual studies. Narrative reviews. Systematic reviews. Meta-analyses.
49
What are the pros and cons of individual studies?
} Pros: depth of understanding of study. } Cons: bias / not transparent / not representative.
50
What are the pros and cons of narrative reviews?
} Pros: data summary / allows evaluation of methods, inconsistencies, etc. } Cons: bias / not transparent.
51
What are the pros and cons of systematic reviews?
} Pros: transparent / good data summary. } Cons: requires simplistic approach (losing depth of and incommensurate data).
52
What are the pros and cons of meta-analyses?
} Pros: transparent / good data summary / stats interpretation. } Cons: requires simplistic approach (losing depth of and incommensurate data).
53