The SAGE Quantitative Research Kit – serie

Nervous about statistics? This guide offers you a clear, straight to the point break down of exploratory and descriptive statistics and its potential. Anchored by lots of examples and exercises to enhance your learning, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.

This book is an ideal companion for students looking to undertake survey research. Anchored by lots of case studies of real research and expert interviews to strengthen your understanding, it provides guidance on:

Selecting the best sampling method for your research Designing questionnaires to ensure you gather valuable data Collecting your data to represent populations well Piloting questionnaires to ensure quality research

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

This book offers a much needed critical introduction to data mining and ‘big data’. Supported by multiple case studies and examples, the authors provide: Digestible overviews of key terms and concepts relevant to using social media data in quantitative research.A critical review of data mining and ‘big data’ from a complexity science perspective, including its future potential and limitationsA practical exploration of the challenges of putting together and managing a ‘big data’ database An evaluation of the core mathematical and conceptual frameworks, grounded in a case-based computational modeling perspective, which form the foundations of all data mining techniques   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.

Using simple and direct language, this concise text provides practical guidance on a wide range of modeling methods and techniques for use with quantitative data. It covers:

·       2-level Multilevel Models

·       Structural Equation Modeling (SEM)

·       Longitudinal Modeling using multilevel and SEM techniques

·       Combining organizational and longitudinal models

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.

An experienced author in the field of data analytics and statistics, John Macinnes has produced a straight-forward text that breaks down the complex topic of inferential statistics with accessible language and detailed examples. It covers a range of topics, including:

·       Probability and Sampling distributions

·       Inference and regression

·       Power, effect size and inverse probability

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.

This text introduces the fundamental linear regression models used in quantitative research.  It covers both the theory and application of these statistical models, and illustrates them with illuminating graphs. The author offers guidence on:

Deciding the most appropriate model to use for your research Conducting simple and multiple linear regression Checking model assumptions and the dangers of overfitting

Part of The SAGE Quantitative Research Kit, this book will help you make the crucial steps towards mastering multivariate analysis of social science data.

Data archives provide rich and expansive sources of information for researchers. This book highlights the utility of secondary data analyses whilst showing you how to select the right datasets for your study, and in turn get the most out of your research. Topics include:

·       Generating your research question

·       Selecting appropriate datasets and variables

·       Examining univariate, bivariate and multivariate associations

·       Visualisng your data with tables and graphs

Part of The SAGE Quantitative Research Kit, this book boosts students with know-how and confidence, to help them succeed on their quantitative research journey.

This book provides an up-to-date and accessible introduction to causal inference in quantitative research. Featuring worked example datasets throughout, it clearly outlines the steps involved in carrying out various types of statistical causal analysis. In turn, helping you apply these methods to your own research. It contains guidance on:

Selecting the most appropriate conditioning method for your data. Applying the Rubin’s Causal Model to your analysis, a mathematical framework for understanding and ensuring accurate causation inferences. Utilising various techniques and designs, such as propensity scores, instrumental variables analysis, and regression discontinuity designs, to better synthesise and analyse different types of data.

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.

The fourth book in The SAGE Quantitative Research Kit, this resource covers the basics of designing and conducting basic experiments, outlining the various types of experimental designs available to researchers, while providing step-by-step guidance on how to conduct your own experiment.  

As well as an in-depth discussion of Random Controlled Trials (RCTs), this text highlights effective alternatives to this method and includes practical steps on how to successfully adopt them. Topics include:

·       The advantages of randomisation

·       How to avoid common design pitfalls that reduce the validity of experiments

·       How to maintain controlled settings and pilot tests ·       How to conduct quasi-experiments when RCTs are not an option

Practical and succintly written, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.

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.

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.

This book is an ideal companion for students looking to undertake survey research. Anchored by lots of case studies of real research and expert interviews to strengthen your understanding, it provides guidance on:

Selecting the best sampling method for your research Designing questionnaires to ensure you gather valuable data Collecting your data to represent populations well Piloting questionnaires to ensure quality research

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

Nervous about statistics? This guide offers you a clear, straight to the point break down of exploratory and descriptive statistics and its potential. Anchored by lots of examples and exercises to enhance your learning, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.

The fourth book in The SAGE Quantitative Research Kit, this resource covers the basics of designing and conducting basic experiments, outlining the various types of experimental designs available to researchers, while providing step-by-step guidance on how to conduct your own experiment.  

As well as an in-depth discussion of Random Controlled Trials (RCTs), this text highlights effective alternatives to this method and includes practical steps on how to successfully adopt them. Topics include:

·       The advantages of randomisation

·       How to avoid common design pitfalls that reduce the validity of experiments

·       How to maintain controlled settings and pilot tests ·       How to conduct quasi-experiments when RCTs are not an option

Practical and succintly written, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.

Data archives provide rich and expansive sources of information for researchers. This book highlights the utility of secondary data analyses whilst showing you how to select the right datasets for your study, and in turn get the most out of your research. Topics include:

·       Generating your research question

·       Selecting appropriate datasets and variables

·       Examining univariate, bivariate and multivariate associations

·       Visualisng your data with tables and graphs

Part of The SAGE Quantitative Research Kit, this book boosts students with know-how and confidence, to help them succeed on their quantitative research journey.

This book offers a much needed critical introduction to data mining and ‘big data’. Supported by multiple case studies and examples, the authors provide: Digestible overviews of key terms and concepts relevant to using social media data in quantitative research.A critical review of data mining and ‘big data’ from a complexity science perspective, including its future potential and limitationsA practical exploration of the challenges of putting together and managing a ‘big data’ database An evaluation of the core mathematical and conceptual frameworks, grounded in a case-based computational modeling perspective, which form the foundations of all data mining techniques   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.

An experienced author in the field of data analytics and statistics, John Macinnes has produced a straight-forward text that breaks down the complex topic of inferential statistics with accessible language and detailed examples. It covers a range of topics, including:

·       Probability and Sampling distributions

·       Inference and regression

·       Power, effect size and inverse probability

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.

This text introduces the fundamental linear regression models used in quantitative research.  It covers both the theory and application of these statistical models, and illustrates them with illuminating graphs. The author offers guidence on:

Deciding the most appropriate model to use for your research Conducting simple and multiple linear regression Checking model assumptions and the dangers of overfitting

Part of The SAGE Quantitative Research Kit, this book will help you make the crucial steps towards mastering multivariate analysis of social science data.

Using simple and direct language, this concise text provides practical guidance on a wide range of modeling methods and techniques for use with quantitative data. It covers:

·       2-level Multilevel Models

·       Structural Equation Modeling (SEM)

·       Longitudinal Modeling using multilevel and SEM techniques

·       Combining organizational and longitudinal models

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.