Data Handling and Analysis (Research Methods) Flashcards

1
Q

Qualitative data

A

Expressed in words, in depth-non numerical (thoughts, feelings etc).

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2
Q

Quantitative data

A

Numerical data

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3
Q

Primary data

A

Obtained first hand by the researcher for the purpose of the current study

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4
Q

Secondary Data

A

Information already collected by others or already in existence so pre-dates current project

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5
Q

Meta-analysis

A

Combining the findings from a number of studies on a particular topic for an overall conclusion

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6
Q

Examples of descriptive statistics

A

Central tendency, measures of dispersion, charts and graphs

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7
Q

Measures of central tendency show what

A

The average of a set of data (mean, median or mode)

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8
Q

The mean is..

A

found by adding all scores and dividing by the number of scores - the arithmetic average

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9
Q

The median is..

A

The central/middle value (once all data is in order)

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10
Q

The mode is…

A

The most frequently occurring value

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11
Q

Strength of the mean

A

Most representative as it uses all the data scores

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12
Q

Weakness of the mean

A

Easily distorted by outliers

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13
Q

Strength of the median

A

Unaffected by extreme scores/outliers

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14
Q

Weakness of the median

A

Less sensitive (ignores extreme values that may be important!)

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15
Q

Strength of the mode

A

easy to calculate

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15
Q

Weakness of the mode

A

Crude, not very useful, doesn’t represent all the data, might me more than one!

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15
Q

Measures of dispersion show..

A

The spread of data (range or standard deviation)

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16
Q

The range is

A

overall data spread. Biggest value minus the smallest value

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17
Q

Strength of the range

A

Easy to calcuate

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18
Q

Weakness of the range

A

Doesn’t take into account all data, extreme values only

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19
Q

The standard deviation is

A

a measure of the average deviation from the mean

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20
Q

How do you calculate standard deviation?

A

Step 1: Find the mean.
Step 2: For each data point, find the square of its distance to the mean.
Step 3: Sum the values from Step 2.
Step 4: Divide by the number of data points.
Step 5: Take the square root.

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21
Q

What type of graph should I use to represent the strength and direction of a correlation?

A

Scatter graph/Scattergram

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22
Q

When plotting a scatter gram which co-variable goes on the X axis?

A

It doesn’t matter!

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23
What type of graph represents the frequency of each variable by the height of its spaced columns and is only used with Discrete data?
Bar Chart
24
When plotting a bar chart which variable goes on the X axis?
The categories (the IV)
25
What type of graph displays continuous data and uses the height and width of touching bars to show frequency?
Histogram
26
The X axis of a histogram must start at..
True 0
27
What does the Y axis of a histogram represent?
the frequency
28
A summary table would display...
Raw data
29
A normal distribution graph looks like...
a Bell curve, symetrical
30
In a normal distribution the mean, median and mode are
The same (at the highest peak of the curve)
31
In a normal distribution the tails of the curve never touch what?
The X axis (they are never 0)
32
A distribution curve that is not symmetrical is known as..
a Skewed distribution
33
In a positively skewed distribution the curve leans..
towards the Y axis
34
In a positively skewed distribution, the longer tail is on the left or right?
The right
35
In a negatively skewed distribution the curve leans..
away from the Y axis
36
In a negatively skewed distribution, the longer tail is on the left or right?
left
37
In a skewed distribution curve, the measures of central tendency appear in what order (starting at the top of the curve working down the tail)?
Mode, median, mean
38
In a normal distribution curve - what percentage of people appear within 1 standard deviation of the mean (either side)?
68%
39
In a normal distribution curve - what percentage of people appear within 2 standard deviations of the mean (either side)?
95%
40
In a normal distribution curve - what percentage of people appear within 3 standard deviations of the mean (either side)?
99.7%
41
A positive correlation is
As one variable increases so does the other
42
A negative correlation is
As one variable increases the other decreases
43
Zero correlation is
No relationship between variables
44
How can we tell the strength of a correlation
How tightly packed the points are around the line of best fit or correlation coefficient
45
A statistical measure of the strength and direction of a linear relationship between two variables is known as..
Correlation Coefficient
46
Correlation Coefficient is between..
+1 and -1
47
A correlation coefficient of 0.1-0.3 (positive or negative) is what strength relationship?
Weak
48
A correlation coefficient of 0.4-0.6 (positive or negative) is what strength relationship?
Moderate
49
A correlation coefficient of 0.7-0.9 (positive or negative) is what strength relationship?
Strong
50
A correlation coefficient of 1 (positive or negative) is what strength relationship?
A perfect correlation
51
DV Data which is in rank order (ranked or rated)
Ordinal data
52
DV data which is categorical
Nominal data
53
DV data which is measured in fixed units with equal distance between points on the scale or set intervals
Interval data
53
Which variable determined the level of data in a study?
Dependent variable
54
Name a qualitative method of data analysis
Content analysis or thematic anaylsis
55
In a content analysis what technique is performed on the data?
Coding
56
Content analysis converts qualitative data to
Quantitative data
57
Thematic analysis produces what type of data?
Qualitative