Module 8 Flashcards

1
Q

Branch of mathematics dealing with the collection analysis, presentation, interpretation and conclusion of data

A

Statistics

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2
Q

A branch of statistics where statistical techniques are used on biomedical data to reach a conclusion

A

Biostatistics

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3
Q

An important step to communicate our information and findings to the audience and readers in an effective way

A

Data presentation

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4
Q

A collection of facts, such as values or measurements

A

Data

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5
Q

Two types of data

A

Constant
Variables

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6
Q

A situation or value that does not change

A

Constant

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7
Q

Five types of variables

A

Independent variables
Dependent variables
Moderator variables
Controlled variables
Intervening variables

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8
Q

Affects the value of another variables

A

Independent variables

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9
Q

May change due to change in the value of another variables

A

Dependent variables

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10
Q

Variables that affects the cause and effect relationship between the these two

A

Moderator variables

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11
Q

Variables that affects the cause-and-effect relationship between the independent and the dependent, is eliminated

A

Controlled variables

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12
Q

Variables that affects the cause-and-effect relationship between the independent and the dependent variables but either cannot be measured clearly or is to be ignored during research

A

Intervening variables

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13
Q

Four types of variables

A

Nominal
Ordinal
Discrete
Continuous

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14
Q

Variables for qualitative data

A

Nominal and Ordinal

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15
Q

Variables For quantitative data

A

Discrete and continuous

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16
Q

The data that show some quantity through numerical value

A

Quantitative variable

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17
Q

Quantitative data also called

A

Metric data

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18
Q

Values cannot be expressed or presented in the form of decimal

A

Discrete variable

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19
Q

Values and can be quantified and presented in decimals

A

Continuous variable

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20
Q

Process of gathering and measuring information

A

Data collection

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21
Q

One of the most important stages in conducting a research

A

Data collection

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22
Q

Two types of data collection

A

Primary data
Secondary data collection

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23
Q

Some sources of primary data

A

Experiment
Survey
Questionnaire
Interview

24
Q

Artificial or natural setting in which to perform logical study to collect data

A

Experiment

25
Most commonly ised methods in social sciences Can ve conducted in different methods
Survey
26
Most commonly used methods in survey
Questionnaire
27
A list of questions either open ended or close ended for which the respondents give answer
Questionnaires
28
Face to face conversation with the respondents
Interview
29
Data that is collected by investigators from research paper that are already published online
Secondary data collection
30
It is numerical in nature and can be mathematically computed
Quantitative data
31
Quantitative data measure uses different scales which can be classified as
Nominal scale Ordinal scale Interval scale Ratio scale
32
Methods rely on a random sampling and structured data collection instruments
Quantitative data collection
33
Two main quantitative data collection
Survey One on one interview
34
Conducted using paper-based methods and have gradually evolved into online mediums.
Survey
35
Types of obsevational research
Longitudinal studies Cross-sectional studies
36
The market research conduct surveys from a specific time period to another
Longitudinal studies
37
The market research conduct surveys at a particular time period across the target sample
Cross-sectional studies
38
Cross - sectional studies also known as
Cross-sectional survey
39
Quantitative data collection method was also traditionally conducted face to face but has shifted to telephonic and online
One on one interviews
40
Three major sections of online interview
Face to face interview Online or telephonic interview Computer assissted personal interview
41
Systematic procedure of gathering observation or measurements
Data collection procedure
42
Exploratory in nature and are mainly concerned with gaining insights Unable to expressed human feelings and emotions
Qualitative data collection
43
Most common methods used for Qualitative data collection
Individual interview Focus group Observation
44
Interviews can be:
Unstructured Semi-structured Structured
45
Sometimes also called focused interview
Semi structured
46
Can be referred to as "depth" or "in depth" interview
Unstructured
47
A tightly sttuctured schedule is used
Structured
48
Sometimes used when its better to obtain informationform a grouo rather than individuals
Focus groups
49
Involves may take place in natural setting and involves the researcher taking lenghtly and descriptives notes of what is happening
Observation
50
Obtain more reliable information about certain things
Observation
51
Can also serve as a technique for verifying of nullifying information provided in face to face encounters
Observation
52
Techniques for collecting data through observation
Written description Video recording Photographs and artifacts
53
Any kinds of documentation may be used to provide information like a local paper, information on a notice board etc
Documentation
54
Include recordable spoken or written words and observable body language, action and interaction.
Direct data
55
Generated in the first instance by someone or something else
Indirect data