Research Methods in Statistics

Questions and Answers

Which of the following BEST defines quantitative research?

It is an exploration associated with libraries, books and journals.

It is a systematic process obtaining numerical information about the world. (correct)

It is an activity of producing or proving a theorem.

It is an activity concerned with finding new truth in education.

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

Figures, tables or graphs showcase summarized data collection.

It seeks to gather a more comprehensive understanding of activities related to human behavior. (correct)

Data are gathered before proposing a conclusion or solution to a problem.

Quantitative methods can be repeated to verify findings in another setting.

Which of the following describes the characteristics of research where data are in form of statistics?

Numerical Data (correct)

Replication

Large Sample Size

Objective

What characteristic of quantitative research refers to the necessity of arriving at more reliable data analysis?

Large Sample Sizes Signup and view all the answers

What is done to check the correctness and verify the findings of the study?

Replication Signup and view all the answers

Which aspect of quantitative research involves using charts and tables to show evidence collected?

Data Presentation Signup and view all the answers

Which option best describes the main goal of quantitative research?

Identifying patterns and testing theories. Signup and view all the answers

Which of the following methods is commonly used in quantitative research for data collection?

Surveys Signup and view all the answers

What is a key advantage of using quantitative research methods?

They provide statistical validation and generalizability. Signup and view all the answers

Which statement about quantitative research is accurate?

It is systematic and objective in nature. Signup and view all the answers

Study Notes

Quantitative Research Overview

A large population enhances the reliability of data collected.
Random sampling minimizes bias from researchers in data interpretation.
Replication of quantitative methods strengthens validity by verifying findings in diverse settings.

Advantages of Quantitative Research

Objectivity is achieved through numerical data, making results less prone to misinterpretation.
Larger sample sizes increase reliability, helping confirm or disprove hypotheses.
Statistical techniques enable complex data analysis, revealing significant characteristics.
Replicable methods allow for consistent studies across different contexts.
Experiments control external factors to ensure unbiased results.

Experimental Research Designs

True Experimental Design: Controls both time-related and group-related threats, offering the highest internal validity.
Quasi-Experimental Design: Lacks random assignment, allowing for more data collection and often used in evaluating social problems.
Pre-Experimental Design: Provides the lowest level of internal validity.

Non-Experimental Research Designs

Involves natural observation of phenomena without external variable introduction, focusing on data collection without treatments.
Descriptive Research Design: Aims to document and describe situations as they occur, often serving as a foundation for generating hypotheses.

Types of Descriptive Research

Survey: Captures quantitative descriptions of trends or opinions through various methods (e.g., face-to-face, online).
Correlational Studies: Analyze relationships and predict patterns using correlation coefficients.

Variables in Research

Independent Variable: Influences the outcomes; treated as the manipulative factor in experiments.
Dependent Variable: Displays the effects or outcomes resulting from changes in the independent variable.

Data Types

Interval Variable: Unique scale with consistent differences but lacks a true zero (e.g., temperature).
Ratio Variable: Has a true zero, showing complete absence of the measured variable (e.g., weight, age).

Research Implications

Quantitative research is essential for testing hypotheses, revealing patterns, and establishing causal relationships in studies.
Attention to variables helps researchers analyze the impact of various factors comprehensively.

Description

This quiz explores essential concepts in research methods and statistics, focusing on the importance of population size, random sampling, and replication in ensuring data validity. Strengthen your understanding of how quantitative methods can help produce reliable research outcomes.