Research Project Flashcards

1
Q

Is the process by which researchers transform a mass of data into actionable insights. These are numerous data analysis Techniques available, depending on the tyle of research

A

Data analysis methods

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2
Q

The researcher stays close to the statistical findings without drawing broader implications or meaning from them. Further, this section included summary of data rather than the raw data.

A

Reporting the results

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3
Q

This is one of the most frequently used techniques for analyzing qualitative data. It is used to analyzed Data that has been recorded in the form of texts, media, or even physical objects. Used to examine interviewee responses

A

Content Analysis

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4
Q

This technique is used to analyze content from a variety of sources, including respondents interviews, field observation,and survey. Stories and experience

A

Narrative Analysis

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5
Q

This is a more sophisticated technique that entails several stages including familiarization, identification of a thematic framework, coding, charting, mopping, and interpretation

A

Framework analysis

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6
Q

Is used to examine human interactions. It focuses on analyzing the social context in which the researcher and respondents communicated

A

Discourse Analysis

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7
Q

This is a term that refers to the use of qualitative data to explain why a particular phenomenon occurred.

A

Grounded theory

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8
Q

The first stage of analyzing data is ___
Where the aim is to convert raw data into something meaningful and readable

A

Data preparation

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9
Q

The purpose of this is to findi out, as far as possible, whether the data collection was done as per the pre set standards and without any bias.

A

Data Validation

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10
Q

To infer whether each respondents Was actually interviewed or not.

A

Fraud

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11
Q

To make sure that respondents was chosen as per the research criteria.

A

Screening

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12
Q

To check whether the data collection procedure was duly followed

A

Procedure

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13
Q

To ensure that the interviewer asked the respondents all the questions rather than just a few required ones.

A

Completeness

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14
Q

Large data sets include errors.

A

Step 2: Data editing

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15
Q

The most important steps in data preparation. It refers to grouping and assigning values to responses from the survey

A

Step 3: Data Coding

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16
Q

Also known as descriptive analysis, is the first level of analysis. It helps researchers summarize the data and find pattern

A

Descriptive Statistics

17
Q

Numerical average of a set of values

A

Mean

18
Q

Midpoint of a set of numerical values

A

Median

19
Q

Most common value among a set of values

A

Mode

20
Q

Used to express how a value or group of respondents within the data relates to a larger group of respondents

A

Percentage

21
Q

The number of times a value is found

A

Frequency

22
Q

The highest and lowest value in a set of values

A

Range

23
Q

The researcher is attempting to draw conclusions based on more than just the immediate data.

A

Inferential Statistics

24
Q

It is the process of attaching meaning to the data

A

Interpreting the data

25
Q

Non- numeric categories that cannot be ranked or compared qualitatively, variables are exclusive and exhaustive

A

Nominal scale

26
Q

Exclusive categories that are exclusive and exhaustive but with a logical order. ( Good, very good, fair, agree)

A

Ordinal scale

27
Q

A measurement scale where data is grouped into categories with orderly and equal distances between the categories. There is always an arbitrary zero point.

A

Interval

28
Q

Contains features of all three

A

Ratio

29
Q

Two main methods of interpretation of data

A

Qualitative data
Quantitative data

30
Q

Rearrangement from lowest to highest stem and leaf plot. It is most extensively used and is a very effective way of presenting data.

A

Textual method

31
Q

It is a table which sorts data according to a certain pattern.

A

Stem and Leaf plot

32
Q

Is generally used to differentiate, categorize relate different data sets.

A

Tabular method

33
Q

It is a table which shows the data arranged into different classes and the number of cases which fall into each class

A

Frequency distribution table ( FDT )

34
Q

Data can further be presented in a simpler and even easier form by means of using graphics.

A

Graphical method

35
Q

Most widely used chart for showing the grown of a company over a period

A

Bar chart

36
Q

Are best for shoe the change in population.

A

Line chart

37
Q

Work best for representing the share of different components from a total of 100%

A

Pie chart