Research methods - Ms G side Flashcards

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1
Q

Correlation

A

A research method which indicates the strength and direction of the relationship between 2 or more co-variables.

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2
Q

Strengths and limitations of correlations

A

Strengths: -provides a precise measure of how the 2 variables are related which allows us to see certain patterns. -Quick and easy to carry out as secondary data can be used.
Limitations: - lack of control and manipulation of these variables = cant tell us why they are related.
- can be misused/misinterpreted which makes it less accurate.

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3
Q

Aim

A

A general statement of what the researcher intends to investigate providing the purpose of the study.

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4
Q

Hypothesis

A

A precise, testable statement stating the clear relationship between the variables.

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5
Q

Pilot Study

A

A small-scale trial run of the actual investigation before actually attempting it.

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6
Q

Ethics

A

When a conflict or dilemma exists between the participants’ rights and the researchers goal.

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7
Q

What are the 4 major principles of the BPS code of ethics?

A
  • Respect
  • Responsibility
  • Competence
  • Integrity
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8
Q

What are the 6 main ethical issues?

A
  • Protection from physical and psychological harm
  • Deception
  • Informed consent
  • Privacy
  • Confidentiality
  • Right to withdraw
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9
Q

Peer review

A

Assessment of scientific work by others who are specialists in the same field, to ensure that any research intended for publication is of high quality.

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10
Q

What are the main aims of peer review?

A
  • To allocate research funding
  • To validate the quality and relevance of the research
  • To suggest amendments or improvements
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11
Q

Evaluation of peer review

A
  • Anonymity
  • Publication bias
  • Burying ground-breaking research
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12
Q

What are the measures that are part of descriptive statistics?

A
  • Measures of central tendency ( mean, mode, median)

- Measures of dispersion ( range and standard deviation)

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13
Q

Advantages and disadvantages of range

A
Adv= Easy to calculate
Dis= Doesn't include all numbers
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14
Q

Standard deviation

A

The measure of the average spread of the scores around the mean.

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15
Q

What is a distribution?

A

A graph that is plotted to represent the average and spread of particular characteristics about the population.

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16
Q

Normal distribution

A
  • shaped like a bell
  • symmetrical
  • mean, median and mode are all the same
  • width of curve is defined by standard deviation
17
Q

Positive skew

A
  • data clustered in one area
  • majority of scores are at lower end of data set
  • skewed to the right
18
Q

Negative skew

A
  • Data clustered in a different area
  • Majority of scores are at the higher end of the data set
  • Skewed to the left
19
Q

What are levels of measurement?

A

The difference in the amount of information provided by the quantitative data.
( Nominal, ordinal, interval)

20
Q

Nominal

A
  • most basic level of measurement.
  • uses categories and tallies.
  • M.O.C.T = mode
  • M.O.D = N/A
21
Q

Ordinal

A
  • data is rated and ranked on a scale
  • M.O.C.T = median
  • M.O.D = range
22
Q

Interval

A
  • data that is measured on a scale with precise and equal intervals between units
  • M.O.C.T = Mean
  • M.O.D = Standard deviation
23
Q

What is the purpose of statistical testing?

A
  • To validate the research and significance.

- To check if anything was a coincidence or a fluke.

24
Q

Under which conditions would the sign test be used?

A
  • Am I testing for a relationship or a difference?
  • Which experimental design have I used?
  • What levels of measurement have I used?
25
Q

What is a significance level?

A

The point at which the researcher can claim to have discovered a significant difference or correlation within the data.