Research Method 3 Flashcards

1
Q

What is the difference between qualitative and quantitative data?

A

Quantitative data is numerical and concerned with quantity, while qualitative data is represented in words and concerned with the quality of behavior or experience.

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2
Q

What are data collection techniques for quantitative data?

A

Quantitative data collection techniques include experiments, observations using behavior categories, and correlations.

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3
Q

What is an advantage of quantitative data?

A

An advantage of quantitative data is that it is easy to analyze, allowing for straightforward comparisons between groups.

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4
Q

What is a disadvantage of quantitative data?

A

A disadvantage is that it may lack external validity and fail to represent real life due to its narrower meaning.

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5
Q

What are data collection techniques for qualitative data?

A

Qualitative data collection techniques involve unstructured observation and interviews.

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6
Q

What is an advantage of qualitative data?

A

An advantage of qualitative data is that it has greater external validity, providing meaningful insights into participants’ views.

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7
Q

What is a disadvantage of qualitative data?

A

A disadvantage is that it is difficult to analyze, making comparisons challenging and relying on the researcher’s subjective interpretation.

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8
Q

Give an example of a question that generates quantitative data.

A

On average, how many hours does your child spend in nursery a week?

The answer is numerical.

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9
Q

Give an example of a question that generates qualitative data.

A

How has your child developed socially since being at nursery?

The answer is in words, explaining the participant’s expectations.

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10
Q

What is primary data?

A

Primary data is gathered directly from participants and is specific to the aim of the study.

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11
Q

What is secondary data?

A

Secondary data has been previously collected by a third party and is not specifically for the aim of the study.

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12
Q

What is meta-analysis?

A

Meta-analysis is a process where multiple studies on the same research question are reviewed together, and the combined data is tested statistically to assess effect size.

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13
Q

What are descriptive statistics?

A

Descriptive statistics are used to identify trends and analyze data sets using graphs and tables.

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14
Q

What is the median?

A

The median is the middle value in a data set.

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15
Q

What is an advantage of using the median?

A

The median is relatively unaffected by outlying scores.

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16
Q

What is a disadvantage of using the median?

A

The median may be unrepresentative as it does not take all scores into account.

17
Q

What is the mean?

A

The mean is calculated by adding all values and dividing by the number of values.

18
Q

What is an advantage of using the mean?

A

The mean is the most sensitive measure of central tendency as it considers all values.

19
Q

What is a disadvantage of using the mean?

A

The mean is affected by outliers, which may skew the data.

20
Q

What is the mode?

A

The mode is the most commonly occurring value in a data set.

21
Q

What is an advantage of using the mode?

A

The mode is unaffected by outliers.

22
Q

What is a disadvantage of using the mode?

A

The mode can be unrepresentative and may not exist if there are no repeated scores.

23
Q

What is the range?

A

The range is the difference between the highest and lowest scores in a data set.

24
Q

What is an advantage of using the range?

A

The range is easy to calculate.

25
Q

What is a disadvantage of using the range?

A

The range can be distorted by extreme scores.

26
Q

What is standard deviation?

A

Standard deviation shows the amount of dispersion from the mean.

27
Q

What is an advantage of using standard deviation?

A

Standard deviation takes into account all values, providing a precise measurement.

28
Q

What is a disadvantage of using standard deviation?

A

Standard deviation is more difficult to calculate than the range.

29
Q

What do correlation coefficients show?

A

Correlation coefficients reflect the degree of correlation and indicate the relationship between two sets of data.

30
Q

What is a positive correlation?

A

A positive correlation indicates that as one variable increases, the other variable also increases.

31
Q

What is a negative correlation?

A

A negative correlation indicates that as one variable increases, the other variable decreases.

32
Q

What is a zero correlation?

A

A zero correlation indicates no relationship between the two variables.