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Related Concept Videos

Quantitative Analysis01:12

Quantitative Analysis

Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the method...
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
Surveys02:16

Surveys

Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
Study Design in Statistics01:15

Study Design in Statistics

A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...

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Related Experiment Video

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Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Understanding quantitative research: part 2.

Zoë Hoare1, Juanita Hoe

  • 1Bangor University, Bangor. z.hoare@bangor.ac.uk

Nursing Standard (Royal College of Nursing (Great Britain) : 1987)
|February 26, 2013
PubMed
Summary
This summary is machine-generated.

This article explains essential statistical terms and data presentation methods in quantitative research. Nurses can use this knowledge to critically evaluate research findings and evidence quality.

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Area of Science:

  • Nursing Research
  • Biostatistics
  • Evidence-Based Practice

Background:

  • Quantitative research is crucial in nursing.
  • Understanding statistical analysis is vital for nurses to interpret research findings accurately.
  • This article addresses the need for clear explanations of statistical concepts in nursing literature.

Purpose of the Study:

  • To introduce fundamental concepts of quantitative research.
  • To explain common statistical terminology and data presentation techniques.
  • To enhance nurses' ability to critically appraise research evidence.

Main Methods:

  • Review of common statistical terms used in quantitative research.
  • Explanation of statistical data presentation methods.
  • Focus on terminology relevant to nursing research articles.

Main Results:

  • Provides a foundational understanding of statistical analysis in research.
  • Clarifies key statistical terms and their application.
  • Illustrates how statistical data is presented in quantitative studies.

Conclusions:

  • Improved comprehension of statistical concepts empowers nurses to better evaluate research.
  • Accurate interpretation of statistical data is essential for evidence-based nursing practice.
  • This guide serves as a resource for nurses engaging with quantitative research literature.