PUBH 475 Week 1 Flashcards

Flashcards covering research characteristics and approaches from PUBH 475 lecture notes.

Good Research Characteristics

Informed by research/literature review, connected to theory, apolitical, objective, logical, systematic, procedural, designed to answer a question, replicable, generalizable to larger populations, patient, rigorous data analysis, results are reported for other to use

5 Steps of the Research Process

1. Identify the research question. 2. Select study approach. 3. Design study and collect data. 4. Analyze data. 5. Report findings.

Study Question

Developed by personal interests/values, gaps in literature, concept map, pick variables and population (FINER- Feasible, interesting, novel, ethical, relevant)

Hypothesis

Educated guess based on research and literature review.

Primary Data Collection

Original data collected directly from sources.

Secondary Data Collection

Data that was previously collected for other purposes.

Cross-Sectional Data Collection

Data collected at a single point in time.

Longitudinal Data Collection

Data collected over a period of time.

Deductive Model of Inquiry

Quantitative approach using a 'top-down' approach. Begins with RQ, lit review, FINER, then RQ, Theory (if used), hypothesis, observation, confirmation.

Inductive Model of Inquiry

Qualitative approach using a 'bottom-up' approach. Begins with specific observations, pattern recognitions, tentative hypothesis, finally theory.

Deductive Research Method

Quantitative because it relies on numerical data and hypothesis testing.

Inductive Research Method

Qualitative because it builds theories from rich, descriptive data.

Observation

Collecting and recording data.

Confirmation

Verifying or supporting a hypothesis through evidence and analysis.

Quantitative Research

Numeric data, structured design, questionnaire data collection, larger sample, generalizable to populations.

Qualitative Research

Non-numeric data, flexible design, interviews/observations for data collection, smaller/purposeful sample, not generalizable.

Saturation

Occurs when no new information or themes emerge from data collection. Used in qualitative studies. Ensures data completeness, prevents redundancy, strengthens validity, and helps determine sample size.

Main section of a scientific paper

Abstract, Intro, Method, (measures and data analyses), Results, Discussion/Conclusion and References