Data Collection Methods Quiz

Dividing a population into groups (strata), then sampling proportionally from each.

Dividing a large population into smaller groups (clusters), then randomly selecting and studying entire clusters.

Using a combination of different sampling methods to study a large population.

Sampling based on ease and availability, not random selection.

Setting a limit on the number of participants in a sample based on specific criteria.

Selecting participants based on specific criteria set by the researcher.

Selecting participants by asking current participants to recommend others.

Picking every nth person from a list.

Research combining quantitative and qualitative methods to gain a deeper understanding of a problem.

Using one research method to confirm (validate) findings from another.

Best for building theories and understanding contexts.

Best for testing theories and generalizing findings with large samples.

Combining methods to overcome the weaknesses of each, providing more holistic understanding.

Quantitative research addresses weakness of qualitative research by providing generalizability, while qualitative research strengthens quantitative research's understanding of context.

Mixed methods are useful when a research question needs various perspectives or when findings from different methods need clarification.

A mixed methods design where quantitative data is collected and analyzed first, followed by qualitative data collection and analysis to explain the quantitative findings.

Numerical data collected using surveys or experiments.

Descriptive data like interviews or observations. Focuses on reasons and experiences

How well an instrument measures what it's supposed to in Qualitative research

Complex design, time-consuming, and requires careful planning and integration.

Quantitative data followed by qualitative to explain quantitative findings.

Used to explore phenomena, test emergent theories from qualitative studies, generalize qualitative findings, and develop/test instruments.

Easy to implement, describe, and report findings; clear steps.

Time-consuming, can be difficult to transition from qualitative to quantitative, and potentially linking qualitative analysis to subsequent data collection might not always be simple

A research design where quantitative and qualitative data are collected and analyzed concurrently (at the same time), with integration during interpretation.

Used to develop a deeper understanding of a topic, cross-validate findings, or corroborate results.

Provides well-validated findings; faster data collection than sequential designs.

Requires more expertise to perform both methods simultaneously; potential difficulties comparing different data types and resolving discrepancies.

A research question that is narrow and specific, focusing on a particular aspect of a larger topic.

A research question that explores multiple facets of a topic, considering various factors and relationships.

A research question that is debatable, prompting discussion and potential disagreement.

A broad statement outlining the overall aim of the research study.

Detailed questions that break down the general objective into smaller, measurable parts.

Research questions that focus on measurable data and statistical analysis.

Statements outlining the goals of qualitative research, which explores experiences, perspectives, and meanings.

The elements that are being investigated or measured in a research question.

A visual representation of the variables and relationships in a quantitative research study. It helps organize the study and clarify the relationships between concepts.

A representation of the study's concepts, used in qualitative research when specific variables are difficult to identify. It can be presented in both visual (graphical) and written (narrative) formats.

A textual description of the study's concepts and their interactions. It's used in qualitative research to understand the complexities of a phenomenon without focusing on specific variables.

A visual representation of the concepts and their relationships in a qualitative research study. It's a visual way to explain complex interactions within the study.

A diagram showing the relationship between variables in a quantitative study. Includes independent and dependent variables, along with any mediating or moderating variables.

Testable predictions about the relationship between variables in quantitative research. They are formulated based on existing knowledge and theories.

Statements about the truth of certain aspects of the study, used in qualitative research. They are based on prior knowledge and experience rather than specific variables.

A learning management system (LMS) designed to facilitate online learning and streamline course administration.