Data Analysis Flashcards

1
Q

Uses Analytical and Logical Reasoning to gain information from the data

A

DATA ANALYSIS

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2
Q

Process of organizing and interpreting collected data to answer the research problem

A

DATA ANALYSIS

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3
Q

to find meaning in data so that the derived knowledge can be used to make informed decisions

A

DATA ANALYSIS

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4
Q

used in descriptive studies

A

DESCRIPTIVE STATISTICS

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5
Q

used in descriptive studies as a means of describing the nature and characteristics of the event under investigation

A

DESCRIPTIVE STATISTICS

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6
Q

Initial step in the analysis of data in analytic research

A

DESCRIPTIVE STATISTICS

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7
Q

Science involves in the collection, organization, analysis and interpretation of numerical data

A

STATISTICS

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8
Q

a table of rank ordered scores that shows the number of times each value occurred

A

FREQUENCY DISTRIBUTION

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9
Q

constructed by grouping the scores into classes, or intervals, where each class represents a unique range of scores within the distribution

A

GROUPED FREQUENCY DISTRIBUTION

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10
Q

classes are mutually exclusive (no overlap) and exhaustive within the range of scores obtained

A

GROUPED FREQUENCY DISTRIBUTION

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11
Q

MEASURES OF CENTRAL TENDENCY

A
  1. MEAN
  2. MEDIAN
  3. MODE
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12
Q

layman’s concept of average

A

MEAN

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13
Q

it is sensitive to extreme values

A

MEAN

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14
Q

is used especially when other statistical techniques like testing of hypothesis are to be applied to the data

A

MEAN

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15
Q

the middlemost observation in a set of data arranged in numerical order

A

MEDIAN

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16
Q

it is not sensitive to extreme values

A

MEDIAN

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17
Q

it is used when distribution is markedly skewed

A

MEDIAN

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18
Q

the most frequently occurring value among the observations

A

MODE

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19
Q

unaffected by extreme values

A

MODE

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20
Q

not used in higher statistical analysis

A

MODE

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21
Q

used for continuous and symmetric data

A

MEAN

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22
Q

such as when your data is normally distributed

23
Q

used for ordinal data or for a numerical data whose distribution is skewed

24
Q

dealing with ordinal data

25
used primarily for bimodal distributions
MODE
26
the least used of the measures of central tendency
MODE
27
can only be used when dealing with nominal data
MODE
28
Describe the degree of scatter of the different values of the variable
MEASURES OF DISPERSION OR VARIATION
29
highest – lowest value
RANGE
30
Maximum- minimum
RANGE
31
the average of squared differences from the mean
VARIANCE
32
It is simply the squared value of the standard deviation
VARIANCE
33
looks at how spread out a group of numbers is from the mean
STANDARD DEVIATION
34
square root of the variance
STANDARD DEVIATION
35
Measures variability in relation to the mean
COEFFICIENT OF VARIATIONS
36
It is useful in comparing two series for sets of data, especially when such sets or series are expressed in different units of measurements
COEFFICIENT OF VARIATIONS
37
Summary indices describing the “central point” or the most characteristic value of a set of measurement
MEASURES OF POSITION/LOCATION
38
values of random variable X that divides the observations into 100 equal parts
Percentile
39
values of random variable X that divides the observations into 10 equal parts
Decile
40
values of random variable X that divides the observation into 4 equal parts
Quartile
41
Can be observed and recorded
QUALITATIVE DATA
42
Non-numerical in nature
QUALITATIVE DATA
43
Also known as Categorical Data
QUALITATIVE DATA
44
A process on which it is needed to focus on some of the data and disregarding other parts of it shall be emphasized and seen
DATA WINNOW
45
Time-consuming process of manually coding qualitative data
HAND CODING
46
More faster and more efficient than hand coding
QUALITATIVE SOFTWARE PROGRAMS
47
Uses Colaizzi’s strategy of descriptive phenomenological data analysis
PHENOMENOLOGICAL RESEARCH
48
Has systematic steps such as: ➢ Open coding ➢ Axial coding ➢ Selective coding
GROUNDED THEORY
49
Use of detailed description of the setting or the individual
CASE STUDY AND ETHNOGRAPHIC RESEARCH
50
STEPS IN QUALITATIVE DATA ANALYSIS
1. Organize and Prepare for the data analysis 2. Read all the data 3. Start Coding all the data 4. Generate Description & Themes 5. Represent the Findings 6. Interpret the Findings
51
a table that contains a list of predetermined codes that researchers use for coding the data
CODEBOOK
52
rendering of information on people, places, or events in a setting.
Description
53
major findings in qualitative studies. Often used as headings in the findings section of studies
Themes
54
is the process of organizing the transcript data by bracketing chunks of text and writing a word representing the text
Coding