W1 & W2 Flashcards

1
Q

What is a systematic review?

A

Review of a clearly formulated question

Uses systematic + explicit methods to identify, select + critically appraise relevant research, to collect + analyses data from the studies that are included in the review.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

List the 5 steps involved in a systematic review

A

Formulate the q

Search for studies

Asses quality of studies

Summarise evidence

Interpret the new findings

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

List some characteristics of a systematic review

A

Clear question that needs answering

Exhaustive search strategy

Clear inclusion + exclusion criteria

Explicit + transparent methods that are accountable, replicable + updatable

Clear logical rationale that is reported to the reader

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

A systematic review is a review of a clearly formulated question using what kinds of methods?

A

Systematic + explicit methods

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What comes under the search process for systematic reviews?

A

Searching multiple bibliographic databases

Utilise advanced search techniques

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Why search multiple bibliographic databases?

A

To ensure you have been systematic + comprehensive in your approach

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Why Utilise advanced search techniques

A

To ensure all relevant studies are identified.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

File drawer problem

A

Publication bias

When the outcome of an experiment affects the decision to publish it

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Reasons for the file drawer problem

A

Journals want to publish clear findings

Non-sig (null) findings are often ambiguous

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Harking

A

Hypothesising after the results are known

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Why is harking really problematic?

A

Due to impacting on how the p-values are interpreted.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

P-hacking

A

Doing whatever to the data to get a sig. result

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Data fishing

A

Digging through large datasets to hunt for associations/differences will most likely give you a few.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What does a researcher decide?

A

Which observations are recorded

Which factors to control for

How terms are defined

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

When were p values developed

A

1930s

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What are p values calculated from?

A

Mean scores

Variance

Sample size

17
Q

p value

<0.05

A

Significant

Reject null hypothesis (no difference between the means)

18
Q

Type 1 error

A

Finding a sig difference when there actually isn’t one.

Incorrect rejection of a true null hypothesis

19
Q

What does a type 1 error usually lead researchers to do?

A

Conclude that a supposed effect or relationship exists when actually it doesn’t;t

20
Q

How should p-values be interpreted?

A

In context of their effect sizes + prior likelihood.

21
Q

What guidelines are there for helping what science is real and what isn’t?

A

PRISMA guidelines

22
Q

What can a small sample mean?

A

Can often mean the study is underpowered

Problematic w/ imprecise measurement.

23
Q

Chance for a type 1 error

A

1 in 20

24
Q

Preregistration

A

Outlining methods + analysis strategy before conducting your research,

25
Q

What can preregistration do?

A

Reduce the researcher degrees of freedom

26
Q

Open science

A

Uploading data alongside the journal article

27
Q

What does open science allow other scientists to do?

A

Analyse data in other ways

Combine datasets

Find errors

28
Q

Triangulation

A

Using multiple methods or data sources in qualitative research to develop comprehensive understanding

29
Q

What comes under the nuremberg code

A

Informed consent is essential

Research should be based on prior animal work

Risks should be justified by the anticipated benefits

Research must be conducted by qualified scientists

Physical + mental suffering must be avoided

Research in which death or disabling injury is expected should not be conducted.

30
Q

Implications of research misconduct

A

Harm to participants wellbeing, safety + dignity

Damage to public trust

Waste of research resources + participant effort

Loss of ability to apply for funding