reviewer Flashcards
the science of gathering, analyzing, and interpreting data.
STATISTICS
the process of gathering information from various sources to make informed decisions.
DATA COLLECTION
Types of Data Collection
P - primary Data
S - secondary Data
Q - qualitative Data
Q - quantitative Data
Directly gathered from the source through methods like surveys, interviews, or experiments.
Primary Data
Collected from existing sources like reports, articles, or databases.
Secondary Data
Non-numerical information such as opinions and experiences, collected through interviews, focus groups, or observations.
Qualitative Data
Numerical data, gathered through structured methods like surveys or experiments, often used to measure and analyze trends.
Quantitative Data
Common Data Collection Methods
S - survey
I - interview
F - focus group
O - observation
C - case study
E - experiments
S - secondary data analysis
Asking questions to individuals or groups, often conducted online, by phone, or in person.
Survey
One-on-one conversations to gain in-depth insights.
Interview
Group discussions led by a facilitator to explore specific topics.
Focus Group
Watching and recording behaviors or events in their natural setting.
Observation
Testing hypotheses by manipulating variables to observe effects.
Experiments
Detailed analysis of a single subject or event.
Case Study
Using existing data collected for other purposes.
Secondary Data Analysis
Steps to Collect Data
D - define your problem
I - identify data source
S - select your method
P - plan the process
T - test the process
C - collect the data
A - analyze the data
R - report the findings
Review and interpret the data to draw conclusions.
analyze the data
Things to consider in collecting data
V - validate the accuracy and consistency
P - protect data from unauthorized access
R - respect privacy and ask for consent if necessary
M - match your analysis to your data type
K - keep data well-structured
The Engineering Method
D - define the objective
I - identify key factors
P - propose a model
C - conduct experiment
R - refine the model
D - develop a solution
V - validate the solution
D - draw a conclusion
Clearly describe the issue you’re addressing.
Define the problem
Determine the important factors that affect the problem or its solution.
Identify key factors
Use your scientific or engineering knowledge to create a model of the problem, noting any limitations or assumptions.
Propose a model
Test or validate your model with appropriate experiments and data collection.
Conduct experiment
Adjust the model based on the data you’ve gathered.
Refine the model