Research Concepts Flashcards

1
Q

Audit vs research?

A

Research: designed to generate new knowledge
Audit: assess whether a service meets a standard

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2
Q

What is the null hypothesis?

A

No relationship exists between two sets of data.

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3
Q

What does it mean if null hypothesis is true?

A

Observed effect is due to chance alone

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4
Q

What are the levels of evidence? 3

A

Level 1: systematic reviews, high quality RCT
Level 2: cohort, case control, quasi experimental
Level 3: case study, expert opinion, pre test/post test studies

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5
Q

What is a case control study?

A

Compares 2 groups (cases, controls) in real time. Similar groups, cases have disease and controls do not.

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6
Q

When to use a case control?

A

1.data on exposure is difficult to obtain
2. Disease is rare or long incubation period
3.population difficult to follow up

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7
Q

Example of case control?

A

Chemical/pesticide exposure linkage to disease

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8
Q

What is a cohort study?

A

Follow a group of people over a period. Study how certain factors affect their health over time. Have a common experience eg birth year, geographic area

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9
Q

What is a meta analysis?

A

A type of analysis/calculation that estimates effect size

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10
Q

What is a mixed methods study?

A

Uses both qualitative and quantitative data

Eg how does student perceptions of their school influence their test scores?

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11
Q

What is an independent variable?

A

A variable that the researcher can control or not affected by any other variable in the study

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12
Q

What is a nominal/categorical variable?

A

Anything that be in a category eg yes/no, hair colour

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13
Q

What is ordinal data?

A

An ‘ordered’ hierarchical data eg socioeconomic status (low, med, high)

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14
Q

What is an interval ratio?

A

Anything that has same measurement between levels eg pain 1-10 (has 1 between each level), temp

Has no absolute zero

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15
Q

What is continuous ratio?

A

Has an absolute zero eg blood pressure readings, distance

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16
Q

What is a type I error and how is it determined?

A

False positive: rejection of null hypothesis when it’s actually true.

Alpha value

17
Q

What is a type II error?

A

False negative: accepting null hypothesis when it is false
Depends on sample size or statistical power

18
Q

What is validity?

A

How accurate a test is

19
Q

What is reliability?

A

How consistent a test is

20
Q

What is the formula for sensitivity?

A

TP/(TP+FN)

21
Q

What is a frequency distribution?

A

Graph or table that shows frequency counts

22
Q

What are the 3 measures of central tendency?

A

Mean
Median
Mode

23
Q

Central tendency: What is the mode?

A

The most frequent appearing value.

24
Q

Central tendency: What is the mean?

A

The sum/number of observation ie the average

25
Q

Central tendency: What is the median?

A

The middle value across a dataset

26
Q

What do you do if there are two middle values in a dataset?

A

Sum them, then divide by two

27
Q

When to use median as a measure of central tendency?

A

Asymmetrical data set ie 11 observations

28
Q

What is a Z-score?

A

The relationship of a specific value to the mean

Eg Z-score=0 means it is exactly the same number as mean
Z-score=1 means it’s 1 SD away

29
Q

What is the Z-score formula?

A

Z=(x-M)/G

X: value of interest
M: mean
G: SD

30
Q

What is positive predictive value?

A

The proportion of people who test positive who are true positives

31
Q

What is sensitivity?

A

Accuracy
The proportion of people who have a disease, that test positive