Methods-of-Data-Collection
Data Collection
DATA COLLECTION METHODS
Importance of data collection in research.
Distinction between primary and secondary data.
What is DATA?
Definition: Units of information.
Data can be measured, collected, reported, analyzed, and visualized.
Represents qualitative or quantitative variables about subjects or objects.
Relationship between Data and Information
Quote by Daniel Keys Moran: "You can have data without information, but you cannot have information without data."
Types of Data
Qualitative Data
Definition: Data that can be categorized based on qualities or characteristics without numerical value.
Involves details that explain why, when, and how.
Examples:
Categories based on physical traits.
Gender, colors.
Quantitative Data
Definition: Measurable observations that are numerical.
Examples:
Percentage of alcohol consumption among youths.
Heights, weights, durations, distances, monetary values.
What is Data Collection?
Definition: The process of gathering information to address research problems.
Initiates after defining a research problem.
Researcher Decisions in Data Collection
Which data to collect?
How to collect data?
Who will collect?
When to collect data?
Purpose of Data Collection
To obtain information.
For record-keeping.
Informs decision-making.
Enables information sharing.
Types of Data Collection Methods
Primary Data
Definition: Data collected for the first time, original in nature.
Secondary Data
Definition: Data already collected by others.
Can be used for current research purposes.
Primary Data vs Secondary Data
Advantages of Primary Data
Real-time data collection.
Reliability in sources.
Effective for research questions.
Minimizes bias.
Disadvantages of Primary Data
Time and cost-intensive.
Flexibility limitations.
Advantages of Secondary Data
Cost-effective.
Lower collection time and effort.
Disadvantages of Secondary Data
Potential bias.
Reliability issues.
Methods of Collecting Primary Data
Observation.
Surveys.
Interviews.
Questionnaires.
Schedules.
Observation Method
Definition
Collection of field data through direct observation.
Effective Observation Steps
Determine what to observe.
Select participants.
Conduct observation with defined parameters.
Compile and analyze the collected data.
Types of Observation Methods
Structured Observation: Predefined criteria and methods used.
Unstructured Observation: Flexible and not predefined.
Participant Observation: Observer is part of the group.
Non-Participant Observation: Observer remains detached.
Controlled Observation: Conducted in a structured environment.
Uncontrolled Observation: Natural setting observation.
Advantages of Observation Method
Generates large data volumes.
Immediate data usability.
Flexibility in initiation/cessation of data collection.
Disadvantages of Observation Method
Limited depth of information.
Requires extensive training.
Survey Method
Definition
Technique of collecting data by questioning a representative sample.
Steps in Data Collection through Surveys
Observation or direct questioning.
Different Survey Methods
In-Home Computer-Assisted Interviews.
E-mail and Internet Surveys.
Telephonic Surveys.
Personal Electronic Surveys.
Interview Method
Definition
Oral-verbal data collection through direct questions.
Effective Interview Steps
Prepare an interview schedule.
Choose subjects or key respondents.
Conduct and analyze the interview.
Types of Interview Methods
Structured Interviews: Predefined questions.
Unstructured Interviews: No predetermined questions.
Focused Group Interviews: Guided discussions among a group.
Clinical Interviews: Dynamic and iterative nature, specific to health contexts.
Group Interviews: 6 to 8 individuals, discussing collectively.
Qualitative and Quantitative Interviews.
Individual Interviews.
Selection Interviews: For hiring purposes.
Advantages of Interview Method
In-depth information collection.
Overcome resistance through skilled interviewing.
Disadvantages of Interview Method
Expensive and time-consuming.
Potential biases.
Questionnaire Method
Definition
A tool for collecting data consisting of written questions.
Effective Steps for Questionnaires
Prepare and organize questions.
Select respondents.
Administer and analyze data.
Types of Questionnaire Questions
Open-Ended Questions: Allow detailed responses.
Close-Ended Questions: Provide set alternatives.
Essentials of Good Questionnaire
Clarity and simplicity in language.
Logical sequence of questions.
Adequate answer space.
Advantages of Questionnaire Method
Cost-effective and accessible to large populations.
Free from interviewer bias.
Disadvantages of Questionnaire Method
Time-consuming and requires cooperation.
Schedules
Definition
A type of questionnaire facilitated by an enumerator.
Differences Between Questionnaire and Schedule
Questionnaires are self-administered; schedules are administered by trained enumerators.
Schedules have lower non-response rates compared to questionnaires.
Additional Comparisons
Speed of information collection and correct data reliance differ significantly.
Secondary Data Collection Methods
Definition
Data previously gathered for other research.
Advantages of Secondary Data
Immediate access at a low cost.
Effective insight if sourced reliably.
Sources of Secondary Data
Internal Sources: Sales records, marketing activities, customer feedback.
External Sources: Journals, books, internet resources.
Factors to Consider Before Using Secondary Data
Reliability of the source and its relevance.
Suitability and adequacy concerning current research needs.
Advantages of Secondary Data Method
Easy access to existing information.
Cost-efficient and time-saving.
Disadvantages of Secondary Data Method
Quality of data may not meet researcher needs.
Potentially incomplete or outdated information.
Conclusion
Data collection is vital for informed decision-making and research advancement. Understanding various methods is crucial for effective analysis.