Research Project Flashcards
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
Data analysis methods
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.
Reporting the results
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
Content Analysis
This technique is used to analyze content from a variety of sources, including respondents interviews, field observation,and survey. Stories and experience
Narrative Analysis
This is a more sophisticated technique that entails several stages including familiarization, identification of a thematic framework, coding, charting, mopping, and interpretation
Framework analysis
Is used to examine human interactions. It focuses on analyzing the social context in which the researcher and respondents communicated
Discourse Analysis
This is a term that refers to the use of qualitative data to explain why a particular phenomenon occurred.
Grounded theory
The first stage of analyzing data is ___
Where the aim is to convert raw data into something meaningful and readable
Data preparation
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.
Data Validation
To infer whether each respondents Was actually interviewed or not.
Fraud
To make sure that respondents was chosen as per the research criteria.
Screening
To check whether the data collection procedure was duly followed
Procedure
To ensure that the interviewer asked the respondents all the questions rather than just a few required ones.
Completeness
Large data sets include errors.
Step 2: Data editing
The most important steps in data preparation. It refers to grouping and assigning values to responses from the survey
Step 3: Data Coding
Also known as descriptive analysis, is the first level of analysis. It helps researchers summarize the data and find pattern
Descriptive Statistics
Numerical average of a set of values
Mean
Midpoint of a set of numerical values
Median
Most common value among a set of values
Mode
Used to express how a value or group of respondents within the data relates to a larger group of respondents
Percentage
The number of times a value is found
Frequency
The highest and lowest value in a set of values
Range
The researcher is attempting to draw conclusions based on more than just the immediate data.
Inferential Statistics
It is the process of attaching meaning to the data
Interpreting the data
Non- numeric categories that cannot be ranked or compared qualitatively, variables are exclusive and exhaustive
Nominal scale
Exclusive categories that are exclusive and exhaustive but with a logical order. ( Good, very good, fair, agree)
Ordinal scale
A measurement scale where data is grouped into categories with orderly and equal distances between the categories. There is always an arbitrary zero point.
Interval
Contains features of all three
Ratio
Two main methods of interpretation of data
Qualitative data
Quantitative data
Rearrangement from lowest to highest stem and leaf plot. It is most extensively used and is a very effective way of presenting data.
Textual method
It is a table which sorts data according to a certain pattern.
Stem and Leaf plot
Is generally used to differentiate, categorize relate different data sets.
Tabular method
It is a table which shows the data arranged into different classes and the number of cases which fall into each class
Frequency distribution table ( FDT )
Data can further be presented in a simpler and even easier form by means of using graphics.
Graphical method
Most widely used chart for showing the grown of a company over a period
Bar chart
Are best for shoe the change in population.
Line chart
Work best for representing the share of different components from a total of 100%
Pie chart
