Products related to Quantitative:
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Beginning Quantitative Research
This concise text provides a clear and digestible introduction to completing quantitative research.Taking you step-by-step through the process of completing your quantitative research project, it offers guidance on: · Formulating your research question · Completing literature reviews and meta-analysis · Formulating a research design and specifying your target population and data source · Choosing an appropriate method and analysing your findings Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.
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Doing Quantitative Research in Education with IBM SPSS Statistics
This essential guide for education students and researchers explains how to use quantitative methods for analysing educational data using IBM SPSS Statistics. By using datasets from real-life educational research, it demonstrates key statistical techniques that you will need to know, explaining how each procedure can by run on IBM SPSS Statistics.Datasets discussed in the book are downloadable, allowing you to hone your skills as you read. In this third edition, explanations have been updated with figures and screenshots from SPSS version 28, alongside a range of new research examples and updated further reading. Daniel Muijs is Dean of the Faculty of Education and Society at Academica University of Applied Sciences in Amsterdam.
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Understanding Research in Early Childhood Education : Quantitative and Qualitative Methods
This second edition invites readers to be informed consumers of both quantitative and qualitative methods in early childhood research.It offers side-by-side coverage and comparison about the assumptions, questions, purposes, and methods for each, presenting unique perspectives for understanding young children and early care and education programs.The new edition includes updated examples and references as well as a new chapter on equity issues in research.By using this book, students will be able to read, evaluate, and use empirical literature more knowledgeably.These skills are becoming more important as early childhood educators are increasingly expected to use evidence-based research in practice and to participate in collecting and analyzing data to inform their teaching.
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The SAGE Quantitative Research Kit
From survey research to multilevel modeling, the books provide clear, concise and digestible explanations of the key theories, methods and techniques relevant to quantitative research today.Curated and written by leading academics in the field, they offer practical, hands-on guidance on how to conduct your research project and make the most out of your findings, in turn giving you the confidence needed to succeed.
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How can one compare quantitative and qualitative research?
Quantitative research involves collecting and analyzing numerical data to identify patterns and relationships, while qualitative research focuses on understanding the underlying reasons, motivations, and opinions behind those patterns. One can compare quantitative and qualitative research by considering their methods of data collection and analysis. Quantitative research typically uses structured surveys and statistical analysis, while qualitative research relies on interviews, observations, and thematic analysis. Both approaches have their strengths and limitations, and researchers often use a combination of both methods to gain a comprehensive understanding of a research topic.
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Which research method is better suited: quantitative or qualitative?
The choice between quantitative and qualitative research methods depends on the research question and objectives. Quantitative research is better suited for studies that aim to quantify relationships, patterns, or trends, using numerical data and statistical analysis. On the other hand, qualitative research is more appropriate for exploring complex phenomena, understanding experiences, and capturing in-depth insights through interviews, observations, or open-ended surveys. Ultimately, the best method will depend on the specific research goals and the type of data needed to address the research question effectively.
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What is the difference between qualitative and quantitative research?
Qualitative research focuses on understanding the underlying reasons, motivations, and opinions of individuals, often through methods such as interviews, focus groups, and observations. It aims to explore and interpret social phenomena without numerical data. On the other hand, quantitative research involves the collection and analysis of numerical data to quantify relationships and patterns, often through methods such as surveys, experiments, and statistical analysis. It aims to measure and quantify phenomena to test hypotheses and make generalizations. In summary, qualitative research seeks to understand the "why" behind a phenomenon, while quantitative research seeks to measure the "what" and "how much."
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What are quantitative questions?
Quantitative questions are those that can be answered with numerical data or measurements. These questions often seek to quantify or measure something, such as the frequency, amount, or size of a particular phenomenon. They are commonly used in research and surveys to gather specific data and analyze trends or patterns. Quantitative questions are important for obtaining precise and measurable information that can be used for statistical analysis and drawing conclusions.
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Qualitative Research for Quantitative Researchers
Approaching qualitative research for the first time and unsure how to get started?This book captures what you need to know to jump into effective qualitative or mixed methods research. The book gets you up to speed on the specifics of qualitative research, while showing how it complements quantitative research and how to draw on and hone your existing skills to conduct impactful research.It covers the whole research process, from explaining what theories are for and planning your research design, through gathering and working with your data, to developing good practice in research reporting and dissemination. The book also: • Showcases the value of qualitative research, helping you understand its relevance, credibility and validity. • Grapples with how to decolonise your approach, do research in an ethical and inclusive way, and debias your thinking. • Challenges you to rethink how you conduct research and choose the most appropriate methods for your project. Giving you a fuller understanding of methods and methodologies to benefit your work regardless of the approach you choose, this book encourages you to discover the joy of qualitative research.
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Indigenous Statistics : A Quantitative Research Methodology
This second edition of the groundbreaking Indigenous Statistics opens up a major new approach to research across the disciplines and applied fields.While qualitative methods have been rigorously critiqued and reformulated, the population statistics relied on by virtually all research on Indigenous peoples continue to be taken for granted as straightforward, transparent numbers.Drawing on a diverse new author team, this book dismantles that persistent positivism with a forceful critique, then fills the void with a new paradigm for Indigenous quantitative methods, using concrete examples of research projects from First World Indigenous peoples in the United States, Australia, Aotearoa New Zealand and Canada.Concise and accessible, it is an ideal supplementary text as well as a core component of the methodological toolkit for anyone conducting Indigenous research or using Indigenous population statistics.This is an essential text for students studying quantitative methods, statistics, and research methods. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non-Commercial-No Derivative Licence (CC-BY-NC-ND) 4.0 license.
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Quantitative Longitudinal Data Analysis : Research Methods
First published Open Access under a Creative Commons license as What is Quantitative Longitudinal Data Analysis?, this title is now also available as part of the Bloomsbury Research Methods series. Across the social sciences, there is widespread agreement that quantitative longitudinal research designs offer analysts powerful scientific data resources.But, to date, many texts on analysing longitudinal social analysis surveys have been written from a statistical, rather than a social science data analysis perspective and they lack adequate coverage of common practical challenges associated with social science data analyses. This book provides a practical and up-to-date introduction to influential approaches to quantitative longitudinal data analysis in the social sciences.The book introduces definitions and terms, explains the relative attractions of such a longitudinal design, and offers an introduction to the main techniques of analysis, explaining their requirements, statistical properties and their substantive contribution.
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Understanding Quantitative Data in Educational Research
This book is designed to help you gain confidence in analysing and interpreting quantitative data and using appropriate statistical tests, by exploring, in plain language, a variety of data analysis methods. Highly practical, each chapter includes step-by-step instructions on how to run specific statistical tests using R, practical tips on how to interpret results correctly and exercises to put into practice what you have learned. It also includes guidance on how to use R and RStudio, how to visualise quantitative data, and the fundamentals of inferential statistics, estimations and hypothesis testing.
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When is my research method qualitative and when is it quantitative?
Your research method is qualitative when you aim to gather in-depth insights, opinions, and perspectives on a particular topic. This method is often used to explore complex phenomena and understand the underlying reasons and motivations behind them. On the other hand, your research method is quantitative when you aim to collect numerical data and analyze it using statistical methods. This method is used to measure relationships, patterns, and trends within a population or sample. The choice between qualitative and quantitative methods depends on your research questions, objectives, and the type of data you want to collect and analyze.
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How can quantitative and qualitative research methods be combined in questionnaires?
Quantitative and qualitative research methods can be combined in questionnaires by including a mix of closed-ended (quantitative) and open-ended (qualitative) questions. Closed-ended questions provide structured data that can be easily analyzed quantitatively, while open-ended questions allow respondents to provide detailed, qualitative feedback. This combination can provide a more comprehensive understanding of the topic being studied, as it allows for both statistical analysis and in-depth insights from respondents. Researchers can also use qualitative data to help interpret and explain the quantitative results obtained from the closed-ended questions.
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What are quantitative considerations in chemistry?
Quantitative considerations in chemistry involve the measurement and calculation of quantities such as mass, volume, concentration, and moles. These measurements are essential for determining the amount of reactants needed, predicting the amount of products formed, and understanding the stoichiometry of chemical reactions. Quantitative analysis also helps in determining the purity of substances, identifying unknown compounds, and evaluating the efficiency of chemical processes. Overall, quantitative considerations play a crucial role in understanding and applying the principles of chemistry in a practical and quantitative manner.
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What is a quantitative performance limitation?
A quantitative performance limitation refers to a specific numerical constraint or restriction that impacts the performance of a system, process, or individual. This limitation is typically measured and expressed in numerical terms, such as a maximum capacity, minimum threshold, or specific numerical target. It can affect various aspects of performance, including speed, capacity, accuracy, and efficiency. Identifying and addressing quantitative performance limitations is important for optimizing performance and achieving desired outcomes.
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