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RES 102 > Data Analysis > Flashcards

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

A

MEAN

23
Q

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

A

MEDIAN

24
Q

dealing with ordinal data

A

MEDIAN

25
Q

used primarily for bimodal distributions

A

MODE

26
Q

the least used of the measures of central tendency

A

MODE

27
Q

can only be used when dealing with nominal data

A

MODE

28
Q

Describe the degree of scatter of the different values of the variable

A

MEASURES OF DISPERSION OR VARIATION

29
Q

highest – lowest value

A

RANGE

30
Q

Maximum- minimum

A

RANGE

31
Q

the average of squared differences from the mean

A

VARIANCE

32
Q

It is simply the squared value of the standard deviation

A

VARIANCE

33
Q

looks at how spread out a group of numbers is from the mean

A

STANDARD DEVIATION

34
Q

square root of the variance

A

STANDARD DEVIATION

35
Q

Measures variability in relation to the mean

A

COEFFICIENT OF VARIATIONS

36
Q

It is useful in comparing two series for sets of data, especially when such sets or series are expressed in different units of measurements

A

COEFFICIENT OF VARIATIONS

37
Q

Summary indices describing the “central point” or the most characteristic value of a set of measurement

A

MEASURES OF POSITION/LOCATION

38
Q

values of random variable X that divides the observations into 100 equal parts

A

Percentile

39
Q

values of random variable X that divides the observations into 10 equal parts

A

Decile

40
Q

values of random variable X that divides the observation into 4 equal parts

A

Quartile

41
Q

Can be observed and recorded

A

QUALITATIVE DATA

42
Q

Non-numerical in nature

A

QUALITATIVE DATA

43
Q

Also known as Categorical Data

A

QUALITATIVE DATA

44
Q

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

A

DATA WINNOW

45
Q

Time-consuming process of manually coding qualitative data

A

HAND CODING

46
Q

More faster and more efficient than hand coding

A

QUALITATIVE SOFTWARE PROGRAMS

47
Q

Uses Colaizzi’s strategy of descriptive phenomenological data analysis

A

PHENOMENOLOGICAL RESEARCH

48
Q

Has systematic steps such as:
➢ Open coding
➢ Axial coding
➢ Selective coding

A

GROUNDED THEORY

49
Q

Use of detailed description of the setting or the individual

A

CASE STUDY AND ETHNOGRAPHIC RESEARCH

50
Q

STEPS IN QUALITATIVE DATA ANALYSIS

A
  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
Q

a table that contains a list of predetermined codes that researchers use for coding the data

A

CODEBOOK

52
Q

rendering of information on people, places, or events in a setting.

A

Description

53
Q

major findings in qualitative studies. Often used as headings in the findings section of studies

A

Themes

54
Q

is the process of organizing the transcript data by bracketing chunks of text and writing a word representing the text

A

Coding

RES 102 (11 decks)

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