Practical Research 2: Intro to Quantitative Research

Questions and Answers

What is the primary purpose of descriptive non-experimental research?

To manipulate variables for observation.

To describe the nature and characteristics of a phenomenon. (correct)

To establish a cause-and-effect relationship.

To measure the frequency of variable interactions.

Which type of research focuses on investigating relationships between two variables without interference?

Correlational research (correct)

Quasi-experimental research

Descriptive research

True experimental research

In non-experimental research, which statement is true regarding the manipulation of variables?

It is critical for validating frequency measurements.

It allows researchers to determine cause and effect.

It is fundamental for establishing general attributes.

It is unnecessary as the research observes existing situations. (correct)

Which of the following exemplifies a descriptive non-experimental research study?

<p>Assessing nutritional habits among elementary school students.</p> Signup and view all the answers

What characteristic distinguishes correlational research from descriptive research?

<p>Correlational research assesses variable relationships, while descriptive research details characteristics.</p> Signup and view all the answers

Study Notes

Introduction to Quantitative Research

Quantitative research focuses on gathering numerical data to explain phenomena and generalize findings across groups.
Clearly defined research questions are fundamental to the approach.
Structured research instruments are employed to ensure consistency in data collection.

Characteristics of Quantitative Research

Objective in nature, avoiding subjective interpretations.
Data is presented numerically, facilitating statistical analysis.
Large sample sizes enhance the reliability of results and conclusions.
Research can be replicated across different contexts to confirm findings.
Data analysis can predict future outcomes and verify existing information.
Capable of developing new concepts based on analyzed data.

Strengths of Quantitative Research

Objective data minimizes misinterpretation, making findings result-based.
Statistical techniques allow for sophisticated analyses of large datasets.
Quick and efficient analysis through valid random sampling enables generalization to populations.
The ability to replicate research enhances validation across different settings and conditions.
Data collection tools like questionnaires streamline the process, allowing for swift data gathering.

Weaknesses of Quantitative Research

Requires a large respondent base, increasing the complexity and difficulty of data collection.
Associated costs rise with larger sample sizes and extensive distribution of research instruments.
Lacks the ability to provide contextual elaboration, focusing instead on direct responses.
Poorly designed questionnaires can yield invalid data, impacting the study's integrity.
Researchers must be vigilant against respondents providing random guesses, which can skew results.
Time-intensive preparation and validation of research instruments may delay the research process if no standardized tools exist.

Types of Quantitative Research

Non-Experimental Research:
- Descriptive Research: Describes characteristics of a population or phenomenon without manipulation.
  - Examples include studies on factors affecting academic performance, internet usage, and health practices.
- Correlational Research: Examines relationships between two or more variables without interference from the researcher.
  - Examples include links between study habits and academic performance, exercise frequency and academic achievement, and attendance and success in school.
Experimental Research:
- True Experimental: Involves manipulation and control of variables for cause-and-effect relationships.
- Quasi-Experimental: Similar to true experiments but lacks random assignment to treatment groups.

Description

This quiz covers the fundamental concepts of quantitative research, including its definition and key characteristics. Students will explore how quantitative research differs from qualitative research and the significance of numerical data in research methodologies. Test your understanding of these essential principles through engaging questions.