Research Methodology, Biostatistics, and Qualitative Methods

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Comprehensive vocabulary flashcards covering research design, quantitative and qualitative paradigms, sampling strategies, biostatistics, survey design, and mixed methods based on the lecture notes.

99 Terms

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Research Question

Identifies what the study seeks to answer.

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Hypothesis

A specific, testable prediction.

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Thesis Statement

Expresses the central argument or focus of the research.

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Research Aims

Describe the specific objectives or steps used to answer the research question, utilizing clear, measurable action verbs.

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Research Idea Log

An organizational tool that logs potential topics, questions, objectives, and relevant literature while helping researchers consider the potential impact and importance of their work.

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Quantitative Research

A research approach that uses numerical data to describe, compare, or test relationships, emphasizing internal validity, external validity, reliability, and objectivity.

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Qualitative Research

A research approach that explores experiences, perspectives, meanings, and how or why phenomena occur, emphasizing credibility, transferability, dependability, and confirmability.

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Descriptive Research

A major type of quantitative research that summarizes characteristics of a sample or population.

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Correlational Research

A type of quantitative research that examines relationships between variables.

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Causal-Comparative / Quasi-Experimental Research

A quantitative research approach that investigates differences between groups without full experimental control.

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Experimental Research

A quantitative approach that tests interventions under controlled conditions.

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Narrative Research

A qualitative research approach that explores stories.

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Phenomenology

A qualitative research approach that examines lived experiences.

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Grounded Theory

A qualitative research approach that develops explanations of processes or social processes.

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Case Study

A qualitative approach that investigates particular cases in depth.

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Population

Includes everyone meeting the study criteria.

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Sample

The subgroup of a population that is studied.

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Parameter

A numerical value that describes a population.

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Statistic

A numerical value that describes a sample.

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Probability Sampling

A sampling method that uses random selection and generally supports stronger population-level generalization.

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Non-Probability Sampling

A sampling method that uses nonrandom selection; it limits generalizability but is often useful in qualitative research.

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Simple Random Sampling

A probability sampling method that randomly selects individuals from the population.

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Stratified Sampling

A probability sampling method that randomly selects individuals within defined subgroups.

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Cluster Sampling

A probability sampling method that randomly selects entire groups or clusters.

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Convenience Sampling

A non-probability sampling technique that recruits easily accessible participants.

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Purposive Sampling

A non-probability sampling technique that deliberately selects participants who can provide relevant information.

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Data Cleaning

The process of preparing information for analysis by checking errors, missing responses, inconsistent coding, and variable formats without inventing or improperly changing responses.

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Reverse Scoring

Changing the numerical direction of a survey item so that all items consistently measure the same construct.

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Dummy Coding

Converting categorical responses into numerical indicators, commonly using 00 and 11, so they can be incorporated into statistical analyses.

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Descriptive Statistics

Statistics that summarize the observed data using measures, tables, and graphs.

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Inferential Statistics

Statistics that use sample data to estimate population characteristics or test hypotheses.

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Mean

The arithmetic average of a dataset.

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Median

The middle value when data are ordered.

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Mode

The most frequently occurring value in a dataset.

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Range

A measure of variability that calculates the difference between minimum and maximum values.

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Quartiles

Values that divide ordered data into four sections.

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Variance and Standard Deviation

Measures of variability that describe how spread out values are around the mean.

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Prospective Research

A study design that follows participants forward in time to observe outcomes.

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Retrospective Research

A study design that examines existing information or past events.

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Case-Control Study

A study design that compares people with and without an outcome.

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Cohort Study

A study design that follows groups based on exposures or characteristics.

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Randomized Clinical Trial (RCT)

A study design that randomly assigns participants to interventions.

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Study Endpoint

A specific outcome being measured in a study, such as disease occurrence or treatment response.

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Confidence Interval (CI)

A range of plausible values for a population parameter; a 95%95\% CI is calculated using a method that would capture the true parameter in approximately 95%95\% of repeated samples.

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Null Hypothesis (H0H_0)

A hypothesis that generally states that no difference or association exists.

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Alternative Hypothesis (HaH_a)

A hypothesis that proposes that a difference or association exists.

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p-value

A measure of how unusual the observed results would be if the null hypothesis were true; a value below 0.050.05 is conventionally considered statistically significant when α=0.05\alpha = 0.05.

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Type I Error

A false positive error occurring when a true null hypothesis is rejected.

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Type II Error

A false negative error occurring when a study fails to reject a false null hypothesis.

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Statistical Power

The probability of detecting a real effect.

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One-Sided Hypothesis Test

A hypothesis test that evaluates an effect in a specified direction.

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Two-Sided Hypothesis Test

A hypothesis test that evaluates whether a difference exists in either direction.

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Independent t-test

A parametric statistical test used to compare the means of continuous variables between two independent groups.

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Paired t-test

A parametric statistical test used to compare two related continuous measurements.

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ANOVA

A parametric statistical test used to compare continuous variable means across multiple groups.

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Nonparametric Tests

Statistical tests that rely on fewer distributional assumptions and often analyze ranks (e.g., Wilcoxon rank-sum, Wilcoxon signed-rank, Kruskal-Wallis).

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Chi-Square Test

A statistical test used to evaluate associations between categorical variables.

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Fisher's Exact Test

A statistical test used to compare categorical variables when sample sizes or expected cell counts are small.

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Relative Risk (RR)

A metric that compares the probability of an event between groups, where a value of 11 indicates no difference.

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Odds Ratio (OR)

A metric that compares the odds of an event between groups, where a value of 11 indicates no difference.

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Absolute Risk Reduction (ARR)

The arithmetic difference in event rates between control and treatment groups.

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Relative Risk Reduction (RRR)

The reduction in event rate expressed as a proportion of the control group's event rate.

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Sensitivity

The proportion of people with a disease who test positive.

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Specificity

The proportion of people without a disease who test negative.

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Positive Predictive Value (PPV)

The probability of having a disease after receiving a positive test result, which depends on disease prevalence.

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Negative Predictive Value (NPV)

The probability of not having a disease after receiving a negative test result, which depends on disease prevalence.

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Receiver Operating Characteristic (ROC) Curve

A graph plotting sensitivity against the false-positive rate (1−specificity1 - \text{specificity}) across different thresholds to evaluate test discrimination.

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Kaplan-Meier Curve

A statistical plot that estimates the probability of remaining event-free over time.

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Cumulative Incidence Curve

A statistical plot that estimates the probability of experiencing an event over time and can account for competing events.

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Multivariable Analysis

An analysis that evaluates the relationship between an outcome and multiple predictors simultaneously to adjust for potential confounding variables.

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Linear Regression

A regression model used to analyze continuous outcomes.

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Logistic Regression

A regression model used to analyze binary outcomes that reports odds ratios.

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Cox Proportional Hazards Regression

A regression model used to analyze time-to-event outcomes that reports hazard ratios.

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Mixed Methods Research

A research methodology that integrates quantitative and qualitative evidence.

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Multi-Method Research

Research that uses multiple methods without necessarily integrating the findings.

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Multimodal Research

Research that uses different forms of data, such as photographs, interviews, or recordings.

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Explanatory Sequential Design

A mixed methods design that begins with quantitative data collection followed by qualitative research to explain the results.

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Exploratory Sequential Design

A mixed methods design that begins with qualitative research followed by quantitative research.

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Convergent Design

A mixed methods design that collects both quantitative and qualitative data and brings the findings together.

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Positionality

How researchers' identities, experiences, values, and backgrounds influence their perspectives.

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Reflexivity

The ongoing process of recognizing and critically examining researchers' influences throughout the research.

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Methodological Congruence

A state in which the research question, methodology, study design, methods, and interpretation fit together logically and support the study's purpose.

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Questionnaire

The specific instrument containing questions used in survey research.

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Double-Barreled Question

A flawed survey question that asks about two things at once, making responses difficult to interpret.

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Nominal Scale

A measurement scale consisting of unordered categories (such as blood type).

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Ordinal Scale

A measurement scale consisting of ordered categories without equal measurable spacing (such as satisfaction ratings).

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Interval Scale

A measurement scale that features equal units between values.

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Likert Scale

A scale measuring attitudes or opinions using ordered responses, such as strongly disagree to strongly agree.

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Research Paradigm

The philosophical perspective guiding the research.

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Methodology

The overall approach to inquiry in a research study.

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Post-Positivism

A philosophical paradigm assuming that a reality exists but human understanding of it is imperfect.

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Constructivism / Interpretivism

A philosophical paradigm emphasizing how meaning is shaped by experiences and context.

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Critical Approaches

Philosophical paradigms that examine how power, identity, and social structures shape knowledge.

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Inductive Content Analysis

A qualitative approach that identifies practical categories, such as barriers and supports.

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Reflexive Thematic Analysis

A qualitative research approach that identifies patterns of meaning across data.

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Coding

The qualitative process of identifying and labeling meaningful pieces of data.

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Theme Development

The qualitative process of identifying broader patterns of meaning across coded data.

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Constant Comparison

A qualitative analytical method involving repeatedly comparing pieces of data to identify similarities, differences, and developing patterns.

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Analytic Memos

Documents that record researchers' reflections, interpretations, and decisions during data analysis.