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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...
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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.
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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...
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,
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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.
Introduction to Statistics01:17

Introduction to Statistics

The science of statistics involves collecting, analyzing, interpreting, and presenting data. The method of collecting, organizing, and summarizing data is called descriptive statistics. The systematic method of drawing inferences from the sample data and predicting unknown characteristics of a population is called inferential statistics.
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Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
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Understanding quantitative research: part 1.

Juanita Hoe1, Zoë Hoare

  • 1Research Department of Mental Health Sciences, University College London, London. j.hoe@ucl.ac.uk

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

This article introduces quantitative research methods and basic statistics for nurses. It emphasizes critical appraisal skills for evidence-based practice and high-quality patient care.

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Area of Science:

  • Nursing Research
  • Evidence-Based Practice
  • Research Methodology

Background:

  • Critical appraisal of research is vital for nurses to stay current with evidence-based practice.
  • High-quality nursing care relies on the consistent application of up-to-date research findings.
  • Understanding research methodologies enhances the ability to evaluate study validity.

Purpose of the Study:

  • To introduce the fundamental concepts of quantitative research.
  • To explain basic statistics and terminology commonly found in research articles.
  • To develop critical appraisal skills for evaluating quantitative research.

Main Methods:

  • This article is the first in a two-part series focusing on quantitative research.
  • It provides an introductory overview of research principles and statistical concepts.
  • The content is designed to build foundational knowledge for critical appraisal.

Main Results:

  • Nurses need to understand quantitative research to critically appraise study designs.
  • Familiarity with basic statistics and terminology is essential for interpreting research.
  • Developing appraisal skills ensures the effective use of research in clinical practice.

Conclusions:

  • This introductory article equips nurses with essential knowledge of quantitative research.
  • Understanding research approaches is key to implementing evidence-based practice.
  • Part two will further elaborate on statistical terms and data presentation.