Practical Research 2: Quantitative Research Intro

Questions and Answers

What type of data does quantitative research primarily utilize?

Qualitative data

Theoretical data

Narrative data

Numerical data (correct)

Which of the following accurately describes a phenomenon in quantitative research?

A hypothetical assumption

A subjective interpretation

A result that cannot be measured

An observable fact or situation (correct)

What is a key characteristic of quantitative research methods?

They involve scientific methods (correct)

They are mostly opinion-based

They use trial and error

They focus on qualitative descriptions

Which of the following is used for statistical analysis in quantitative research?

ANOVA Signup and view all the answers

What is the main purpose of collecting data in quantitative research?

To analyze numerical and observable phenomena Signup and view all the answers

Why is the data in quantitative research required to be quantifiable?

To enable statistical analysis Signup and view all the answers

What is the purpose of converting non-numerical data into numerical data in quantitative research?

To enable mathematical operations for analysis. Signup and view all the answers

In the context of quantitative research, what does the Likert Scale typically measure?

Levels of agreement or satisfaction. Signup and view all the answers

What characteristic distinguishes quantitative research from other research methods?

Utilization of scientific or experimental thinking. Signup and view all the answers

Which of the following is an example of data that can be measured quantitatively?

Percentage of consumers preferring a specific color. Signup and view all the answers

In which fields is quantitative research typically utilized?

Physics, chemistry, biology, and medicine. Signup and view all the answers

What type of data can students' grades in different subjects represent?

Quantitative measures of academic performance. Signup and view all the answers

Why are numerical choices used in surveys, like the Likert Scale?

To allow for mathematical operations. Signup and view all the answers

Which of the following is NOT a benefit of using quantitative research?

In-depth personal narratives. Signup and view all the answers

What is a key weakness of quantitative research related to participant responses?

Participants may provide inaccurate responses. Signup and view all the answers

Which characteristic of the research design is considered rigid in quantitative research?

Strict adherence to a predetermined framework. Signup and view all the answers

What type of quantitative research is used to observe phenomena without manipulation?

Descriptive design Signup and view all the answers

What is a significant cost factor associated with large sample sizes in quantitative research?

Increased expense in data collection. Signup and view all the answers

Which of the following questions can descriptive quantitative research effectively answer?

Where are students most likely to exercise? Signup and view all the answers

In correlational design, what is the primary focus of the research?

Identifying relationships between variables. Signup and view all the answers

What is the main advantage of data being taken from a sample in quantitative research?

It enhances credibility and reliability for decision making. Signup and view all the answers

How does replication in quantitative research contribute to its validity?

It reduces the chances of false conclusions. Signup and view all the answers

Which of the following is a strength of quantitative research?

It generates data that can be replicated. Signup and view all the answers

What type of data does quantitative research primarily produce?

Numerical and quantifiable data. Signup and view all the answers

What is a weakness of quantitative research related to understanding human experiences?

It lacks depth in exploring concepts or problems. Signup and view all the answers

Which of the following statements about data analysis in quantitative research is true?

It utilizes statistical software for efficiency. Signup and view all the answers

What does the strength of numerical data in quantitative research allow researchers to do?

Establish cause and effect relationships. Signup and view all the answers

Which of the following statements about the objectivity of quantitative research is correct?

Quantitative research emphasizes objectivity. Signup and view all the answers

What is a primary benefit of using a large sample size in quantitative research?

It leads to more meaningful statistical results. Signup and view all the answers

What characteristic defines the data gathering process in quantitative research?

It is conducted accurately and objectively. Signup and view all the answers

How does quantitative research facilitate data presentation?

Using graphs, charts, and tables. Signup and view all the answers

What advantage do statistical tools provide in quantitative data analysis?

They simplify the analysis process. Signup and view all the answers

Under what condition can sample data be generalized to a larger population?

If random samples of sufficient size are taken. Signup and view all the answers

What is a key feature of data collection in quantitative research?

It can be quick and efficient based on data type. Signup and view all the answers

What type of data does quantitative research typically emphasize?

Numerical data for statistical analysis. Signup and view all the answers

What is NOT a feature of quantitative research?

The use of subjective analysis. Signup and view all the answers

Study Notes

Introduction to Quantitative Research

Utilizes scientifically collected and statistically analyzed data to explore observable phenomena.
A phenomenon refers to any factual or situational aspect that requires further investigation.

Characteristics of Quantitative Research

Employs scientific methods for the design and collection of numerical data.
Analyzes numerical data using statistical techniques.
Data must be numerical and quantifiable, emphasizing the term "quantitative."

Examples of Quantitative Data

Student grades across various subjects.
Teen engagement hours on social media platforms.
Consumer preferences for soap packaging colors.
Daily Covid-19 patient recovery rates by region.

Data Transformation

Non-countable data can be converted into numerical formats for analysis.
Likert Scale can quantify subjective feelings into numerical choices for statistical operations.

General Features

Relies on large sample sizes to enhance statistical validity.
Data collection and analysis processes are objective, minimizing researcher bias.
Numerical data allows for the use of visual presentations like graphs, charts, and tables.
Fast data analysis is possible through statistical software, reducing time consumption.
Findings from samples can often be generalized to the broader population when proper sampling is conducted.

Strengths of Quantitative Research

Findings can be replicated to verify results.
Establishes causality between variables.
Generates numerical, quantifiable data to predict outcomes.
Facilitates quick collection and analysis of data using standardized instruments.
Maintains objectivity and enhances validity and reliability.

Weaknesses of Quantitative Research

Lacks depth in exploring complex problems or concepts.
Does not adequately explain human experiences or emotions.
Some information may not be quantifiable.
Research design is often rigid, limiting flexibility.
Participant responses may be constrained, potentially leading to inaccuracies.
Large sample sizes can increase data collection costs.

Types of Quantitative Research

Descriptive Design: Focuses on describing phenomena as they naturally occur without manipulating variables; suitable for answering "what," "where," and "when" but not "why."
Example: Investigating the frequency of physical activities among high school students during quarantine.
Correlational Design: Examines the relationship between variables without inferring causation.

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Description

This quiz explores the foundational concepts of quantitative research as outlined in Practical Research 2 by Carlo S. Agrade. It emphasizes the significance of scientifically collected data and its application in investigating observable phenomena. Test your understanding of the principles and methodologies introduced in this section.