Research Methods Flashcards

1
Q

What are the 2 different clarifications of Research?

A

Basic –> Experiemental, aiming to improve scientific theories for improving understanding or predicition of other netural phenomena (lab based)

Applied –> Draws on theories/developments to apply them into practice

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2
Q

What is the difference between Positivism and Interpretivism?

A

Postivism –> Says that knowledge is what we can see and observe (scientific methods)

  • Eg, Surveys and clinical trials

Interpretivism –> Attempts to understand phenomena by the meanings people assign to them (research done in natural settings)

  • Eg, interviews, focus groups and observation
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3
Q

What is a mixed methods design?

A

A combination of both qualitative (non-numerical) and quantitative (numberical) elements

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4
Q

In terms of validity and reliability, what are qualitative and quantitivate methods high and low in?

A

Qualitative –> High validity, low reliability

Quantitative –> Low validity, high reliability

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5
Q

When looking into clincial behaviour, what type of method would be best?

A

Qualitative methods

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6
Q

What are the 2 different types of observation?

A

Participant –> Immersion of a researcher in a social setting

Non-Participent –> Researcher doesn’t participate

  • Validity can be effected by the observers present
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7
Q

What is observer bias?

A

You may see what you want to see

You could become bored or tired (likely given this unit…..)

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8
Q

Qualitative research sampling is usually what?

A

Purposive

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9
Q

What’s the difference between a Type 1 and Type 2 statistical error?

A

Type 1 –> When you are wrong despite a statistically significant difference. Eg, a p value of <0.05….but one person still had the problem

Type 2 –> Concluding a treatment had no effecrt when it really did

  • P-values are no help
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10
Q

What kind of test is more likely to show us a true difference, parametric or non-parametric?

A

Parametric

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11
Q

What’s the difference between probability and non-probability sampling methods?

A

Probability –> Each member of the public has an equal chance of being picked

Non-probability –> Each member doesnt have an equal chance of being selected (eg, pharmacy customers only)

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12
Q

Name 4 different types of probability sampling methods

A

Simple random sampling

Systematic sampling

Stratified random sampling

Cluster sampling

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13
Q

What type of sampling is often used for inaccesible groups such as drug misusers?

A

Snowball sampling

When meeting with one person can lead to meeting with another

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14
Q

Describe the 3 following data types…

Categorical (Nominal)

Ordinal (Ranked)

Interval/Ratio

A

Nominal –> Based on being a member of a group or not (eg, eye colour)

  • Uses the mode to find the most commin response

Ordinal –> Based on ranks of order (Eg, scale of pain)

  • Median is used

Ratio –> Has zero origin (eg, height or exam percentage)

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15
Q

Describe the following 3 types of statistics….

Descriptive

Measures of Association

Inferential

A

Descriptive –> Concerned with the presentation, organisation and summarization of data

Measures of Association –> About how strong the relationship is between 2 variables

Inferential –> Allows us to generalise from our sample data to a larger group of people (eg, exit/opinion polls)

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16
Q

What is Standard Error?

A

Reflects how close individual scores cluster around their mean

Assumes random sampling

17
Q

What are the 2 types of inferential tests on nominal data?

A

Chi-Squared Test

  • Yates correction is used if n is greater than 100

Fisher’s Exact Test (used if n is less than 20)

18
Q

What are the 3 types of inferential tests on ordinal data (non-parametric tests)?

A

Wilcoxon Rank-Sum Test

-n less than 25

Mann-Whitney U Test

  • used with unmatched or unpaired data

Friedman two-way analysis of varience by ranks

  • when over 2 groups of matched or paired subjects