Data Collection in Quantitative Research
Data Collection in Quantitative Research
Self Report Data
Definition: Also known as patient-reported outcomes in medical literature; it involves data in which researchers know in advance what information is needed.
Tool Used: Research instruments, typically in written form.
Types of Techniques:
Interview Schedule: Used when participants cannot read/write.
Questionnaire: Formal document listing questions where participants provide written answers.
Association: Respondents provide responses directly based on the tool provided.
Types of Questions in Self Report Data
Open-Ended Questions: Allow participants to respond in their own words (e.g., "Why did you stop smoking?").
Closed-Ended Questions: Participants select responses from pre-specified options. Common in surveys due to ease of analysis.
Examples of Closed-Ended Questions:
Dichotomous: e.g., "Have you ever been pregnant?" (Yes/No)
Multiple Choice: e.g., "How important is it to you to avoid pregnancy at this time?" (Various graded options)
Forced Choice: e.g., "Which statement most closely represents your point of view?"
Rating Questions: e.g., "Rate your satisfaction with nursing care from 0 (extremely dissatisfied) to 10 (extremely satisfied)."
Summated Rating Scale
Definition: Measures attitudes, perceptions, psychological traits; estimates rather than accurately measures traits.
Likert Scale: Commonly used in nursing research; consists of declarative statements allowing participants to express agreement/disagreement.
Scoring: Carefully utilize positive/negative statements with reversal in scoring for negatively worded items to maintain consistency in analysis.
Analysis: Sum total scores from responses to differentiate opinions among participants.
Observational Data
Definition: Gathering data through structured observations of behavior.
Importance: Useful when self reports might be insufficient or biased, capturing behaviors not verbally expressed.
Methods: Instrument protocols are used to document specific behaviors, categorized through a category system.
Types of Observational Methods:
Structured Observation: Focuses on specific behaviors.
Participant Observation: Broader context of behaviors related to participants’ life experiences.
Category System: Organizes observations into exhaustive (all behaviors) or nonexhaustive (specific behaviors) systems to facilitate data collection.
### Biomarkers
Definition: Biophysiological markers used in clinical studies to understand physiological processes.
Types:
In Vivo: Measurements taken directly from living organisms (e.g., temperature).
In Vitro: Measurements from biological materials extracted for laboratory analysis (e.g., blood glucose).
Overall, quantitative data collection methods involve diverse approaches to gathering self report data, observational data, and biomarkers.