Nature of Inquiry and Research

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Questions and Answers

What characterizes qualitative research in terms of data expression?

  • Numerical analysis only
  • Use of statistical models
  • Machine-generated data
  • Verbal language and visuals (correct)

How does qualitative research approach data analysis?

  • Employs thematic coding techniques (correct)
  • Focuses on statistical significance
  • Utilizes randomized datasets
  • Relies on automated data processing

What is a characteristic sampling technique associated with qualitative research?

  • Stratified sampling
  • Random sampling
  • Purposive sampling (correct)
  • Simple random sampling

In distinguishing research objectives, what does qualitative research aim to do?

<p>Understand social intentions (B)</p> Signup and view all the answers

What type of data is primarily used in quantitative research?

<p>Mathematically based methods (D)</p> Signup and view all the answers

What type of research approach is less formal and often personal?

<p>Qualitative research (B)</p> Signup and view all the answers

Which aspect is typical of quantitative research concerning research conditions?

<p>Controls or manipulates research conditions (D)</p> Signup and view all the answers

Which reasoning describes the cause-effect relationships in qualitative research?

<p>Explained by subjective desires (C)</p> Signup and view all the answers

Which of the following describes the nature of a research approach?

<p>It includes philosophical assumptions and specific research methods. (D)</p> Signup and view all the answers

What is the primary focus of quantitative research?

<p>Testing objective theories through data analysis. (C)</p> Signup and view all the answers

Which of the following is NOT a characteristic of qualitative research?

<p>Testing hypotheses statistically. (C)</p> Signup and view all the answers

Why is a research approach important across fields of inquiry?

<p>It provides guidelines for data collection and analysis. (C)</p> Signup and view all the answers

Which statement best differentiates qualitative from quantitative research?

<p>Quantitative research emphasizes statistical testing. (B)</p> Signup and view all the answers

Philosophical assumptions in research refer to:

<p>The theoretical framework guiding the study. (A)</p> Signup and view all the answers

What aspect of a research approach involves the specific techniques used to gather data?

<p>Procedures of inquiry. (C)</p> Signup and view all the answers

Which approach is most suitable for testing a hypothesis?

<p>Quantitative research. (B)</p> Signup and view all the answers

What is one of the strengths of qualitative research?

<p>It fosters a full understanding of human behavior in natural settings. (C)</p> Signup and view all the answers

Which of the following is a weakness of qualitative research?

<p>It is time-consuming and results depend heavily on the researcher’s interpretations. (A)</p> Signup and view all the answers

What aspect of quantitative research limits its effectiveness?

<p>It cannot provide in-depth information necessary for complex phenomena. (B)</p> Signup and view all the answers

What is the primary focus of qualitative research in the field of sports?

<p>To address the issues and concerns faced by athletes (C)</p> Signup and view all the answers

How does qualitative research contribute to understanding culture and individuality?

<p>By fostering respect for people's individuality through the experience of art. (D)</p> Signup and view all the answers

What is a key strength of quantitative research?

<p>It provides findings that can be generalized to larger groups. (C)</p> Signup and view all the answers

Which research approach is used to assess the effectiveness of new technologies in health?

<p>Quantitative research (D)</p> Signup and view all the answers

In agriculture and fisheries, what is the purpose of qualitative research?

<p>To understand farmers' beliefs and practices (B)</p> Signup and view all the answers

Which benefit does quantitative research provide regarding the relationships between variables?

<p>It predicts certain outcomes with high accuracy. (B)</p> Signup and view all the answers

What is a limitation of quantitative research concerning participant responses?

<p>It may fail to capture nuanced data from individuals. (B)</p> Signup and view all the answers

How does quantitative research benefit businesses?

<p>It identifies strengths and weaknesses through various frameworks (B)</p> Signup and view all the answers

What insight can qualitative research provide in the field of science and technology?

<p>Impact of innovations on people's lives (B)</p> Signup and view all the answers

In which way does qualitative research promote societal understanding?

<p>By providing a deep understanding of individual behaviors in context. (A)</p> Signup and view all the answers

Which approach aims to derive numerical conclusions about creativity in culture and the arts?

<p>Quantitative research (A)</p> Signup and view all the answers

In the context of information and communications technology, what does qualitative research seek to explore?

<p>User experiences and improvements in life (B)</p> Signup and view all the answers

What type of quantitative research is important for assessing trends in agriculture's economic impact?

<p>Statistical correlation of crop yields and economy (A)</p> Signup and view all the answers

What are categorical variables?

<p>Variables that have values describing a quality or characteristic. (B)</p> Signup and view all the answers

Which describes independent variables in an experiment?

<p>Variables that are manipulated to observe effects. (B)</p> Signup and view all the answers

What type of variable is 'height' considered?

<p>Continuous variable (A)</p> Signup and view all the answers

Which type of variable can show only two categories?

<p>Dichotomous (C)</p> Signup and view all the answers

What is a predictor variable?

<p>A variable that influences another variable in non-experimental study. (C)</p> Signup and view all the answers

Which is an example of a discrete variable?

<p>Number of students in a classroom (B)</p> Signup and view all the answers

What type of research uses quantitative methods to explore new trends?

<p>Quantitative research (C)</p> Signup and view all the answers

Which variable understands the influence on the outcome in an experiment?

<p>Dependent variable (C)</p> Signup and view all the answers

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Study Notes

The Key Aspects of a Research Approach

  • Research approach: A structured plan detailing steps from broad assumptions to specific data collection and analysis methods.
  • Key considerations for choosing a research approach include philosophical assumptions, procedures of inquiry, and specific methods.
  • Quantitative research: Focuses on testing theories through examining relationships; characterized by objective measurement and use of numerical data.
  • Qualitative research: Aims to explore and understand social phenomena by interpreting meanings ascribed by individuals or groups.

Characteristics of Research Approaches

  • Qualitative Characteristics:
    • Subjective involvement of the researcher in the study.
    • Data presented in verbal forms; analysis is ongoing.
    • Emphasis on understanding behavior within natural settings.
  • Quantitative Characteristics:
    • Objective approach with limited researcher involvement.
    • Uses numerals and statistics for analysis.
    • Strict design and predetermined data collection methods ensure reliability.

Strengths and Weaknesses of Qualitative Research

  • Strengths:
    • Naturalistic approach fosters comprehensive understanding of human behavior.
    • Instrumental in enacting positive societal changes; respects individuality.
  • Weaknesses:
    • High subjectivity in data analysis can lead to validity concerns.
    • Time-consuming due to data overload and extended analysis processes.

Strengths and Weaknesses of Quantitative Research

  • Strengths:
    • Findings can be replicated and generalized across larger populations.
    • Establishes causal relationships more conclusively through numerical data.
  • Weaknesses:
    • Lacks depth in understanding complex phenomena.
    • Limited flexibility in study design may restrict comprehensive insights.

Importance Across Fields of Inquiry

  • Humanities and Social Inquiry: Qualitative methods yield insights on individual behaviors; quantitative methods enhance understanding of social interactions through defined factors.
  • Culture and the Arts: Qualitative approaches illuminate cultural understanding; quantitative research explores lifestyle impacts and creative processes through numerical insights.
  • Sports: Qualitative research investigates athlete experiences for policy enhancement; quantitative data analyzes performances based on numerical variables.
  • Agriculture and Fisheries: Qualitative research uncovers farmers' beliefs and challenges; quantitative research seeks economic trends impacting countries.
  • Science and Technology: Qualitative analysis explores innovation's impact on lived experiences; quantitative methods assess technology effectiveness in health issues.
  • Business: Qualitative methods examine attitudes towards goods and services; quantitative approaches evaluate strengths and weaknesses using business frameworks.
  • Information and Communications Technology: Qualitative research investigates how ICT improves lives; quantitative research identifies trends that promote new software innovations.

The Nature of Variables

  • Variable: Represents a property that can be measured, controlled, and manipulated.
  • Categorical Variables: Describe quality and include nominal (no logical order), ordinal (ranked order), dichotomous (two categories), and polychotomous (multiple categories).
  • Numeric Variables: Measurable quantities categorized as continuous (any value within a range) or discrete (whole numbers only).
  • Experimental Variables:
    • Independent: manipulated in experiments.
    • Dependent: measured response influenced by independent variables.
    • Extraneous: pre-existing factors affecting results.
  • Non-Experimental Variables: Used to explore relationships without direct manipulation, such as predictor variables that influence outcomes in a study.

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