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Social Movements: Statistical and Analytical Research

Arnau Gras, J. (1995). Diseños longitudinales aplicados a las ciencias sociales y del comportamiento. Editorial Limusa.

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This book, written by a social sciences educator, focuses on the application of longitudinal design in social and behavioral sciences. The longitudinal design presents the possibility of assuming that the causal effects are unidirectional. Panel designs study a single group of subjects whose data is collected on several occasions over time. In this way, the directionality of the possible effects of the variables throughout the different batches acquires a predominant role. The book’s intended audience is researchers that aim to establish cause-and-effect relationships or identify changes over time in their study.

Baggaley, A. R. (1964). Intermediate correlational methods. John Wiley & Sons.

The textbook by Baggaley offers an overview of statistics topics, broad in their scope. It targets students of introductory courses in statistics, psychometricians, and factor analysis. The book presents a discussion of correlational methods, factor analysis, reliability, and validity. Furthermore, the author provides problems to practice and appendices with mathematical derivations. Overall, Baggaley offers an informative discussion of the advantages and weaknesses of experimental and correlational methods. However, not all the topics are presented in-depth, and for researchers who need a more detailed look at concepts, additional readings can be useful.

Boyd, L. H., & Iversen, G. R. (1979). Contextual analysis: Concepts and statistical techniques. Wadsworth Publishing Company.

The book by Boyd and Iversen contributed to the statistical and substantive knowledge by offering a path-breaking insight at the time. The authors emphasize the importance of group-to-group variability in intercepts and slopes. At the same time, the incorporation of contextual and individual-level variables in the same regression equation shows the authors’ attempt to consider the context in their statistical models. Hence, the researchers who carry out studies concerning neighborhood effects or timely contextual factors can find the book insightful.

Bradbury-Jones, C., Taylor, J., & Herber, O. (2014). How theory is used and articulated in qualitative research: Development of a new typology. Social Science & Medicine, 120, 135-141. Web.

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This article addresses the issue of the inconsistent articulation of theory used in qualitative studies. The authors have a background in qualitative research and aim to present a framework for a better understanding of the connection between theory and qualitative research with this article. Namely, Bradbury-Jones et al. (2014) suggest “a five-point typology on the levels of theoretical visibility, testing this against a range of published research from five key international health, medicine, and social science journals” (p. 135). The article addresses scholars conducting qualitative research and presents a foundation for the critique of theory use and application.

Fitz-Gibbon, C. T., & Morris, L. L. (1987). How to design a program evaluation. Sage.

This book by Fitz-Gibbon and Morris aims to help people who conduct program evaluations. The intended audience includes specialists from such fields as education, human service, and business. The authors focus on quantitative designs and present knowledge through diagrams, flow charts, and extensive examples. Furthermore, step-by-step guides present methods for data collection, analysis, and presentation in detail. The article mentions various design options to conceive and insights to interpret data collected through experimental, quasi-experimental, and time-series designs.

Kish, L. (1987). Statistical design for research. John Wiley & Sons.

In this book, Kish addresses central aspects of research design related to social and health sciences, education, social welfare, as well as market and industrial research. An introduction to representation and randomization of data covers aspects like classes of variables, surveys and experiments, and statistical tests. The author also discusses control strategies and includes the concept of analysis in separate subclasses. Statistical design problems are presented along with similarities in the fields and practical solutions to the issues. The intended audience is researchers and statistics class students since the book discusses designs commonly used in studies. Furthermore, the author applies a broader approach to statistical design, covering more fundamental aspects, and offering a philosophical view of sample designs over time.

Kanji, G. K. (2006). 100 statistical tests. Sage.

The book by Kanji covers a range of statistical tests offering a discussion of calculations and result interpretation with sample datasets. The target audience of the book is statisticians and researchers seeking to broaden their knowledge of statistical testing. The author provides summaries before each test stating its purpose and limitations of use, along with a table with test classification and an introduction to analytical testing and critical values. Hence, the relevant information can easily be found by a reader. The broad scope of the work makes it suitable for all disciplines that utilize statistical tests.

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Maddala, G. S. (1983). Limited-dependent and qualitative variables in econometrics. Cambridge University Press.

In this book, Maddala discusses econometric analysis with a focus on single- and simultaneous-equation models. The author fills a research gap, presenting various characteristics of the limited-dependent and qualitative variable models. Moreover, empirical examples are provided, expanding the book’s intended audience to researchers conducting empirical studies, graduate students, and econometric theorists. Maddala offers an overview of continuous, categorical, or truncated dependent variables, emphasizing that even though traditionally econometrics focuses on continuous variables, categorical and truncated ones can also be found. Such variables can be involved in models of occupational choice, models for program evaluation, and other areas.

Manly, B. F. (1992). The design and analysis of research studies. Cambridge University Press.

The book by Manly presents a statistical background for data collection and analysis, addressing researchers and graduate students from biological, anthropological, medical, and social sciences fields in a concise and intelligent manner. The author provides examples and case studies dealing with common issues and offers practical solutions or ways to avoid similar problems. The book suggests an insightful introduction to new methods of analysis. Furthermore, topics including observational and experimental studies, sample survey design, experimental and quasi-experimental designs, interrupted time series, and ethical considerations of research are discussed. Overall, Manly’s purpose was to offer a detailed look at research studies and cover more aspects of research design and analysis.

Marascuilo, L. A., & Serlin, R. C. (1988). Statistical methods for the social and behavioral sciences. WH Freeman.

In this work, Marascuilo and Serlin aim to offer an overview of basic statistical methods with application in the field of social and behavioral sciences. The book addresses statistic studies students and research workers as it provides an analysis of two-factor designs and multiple-sample tests. For instance, the authors present statistical procedures by distribution: methods based on exact, normal, chi-square distributions, t distribution, and F distribution. Moreover, problems for students are provided at the end of the book. The work is well-structured and covers a sufficient number of relatable concepts.

Stinchcombe, A. L. (1987). Constructing social theories. University of Chicago Press.

Stinchcombe has a background in sociology and political science, and in this book, he presents strategies for constructing social theories in a clear and concise manner. The author highlights the importance of basing the approach on the data characteristics, rather than applying it to a problem as it is. Such a view has significantly contributed to the development of sociology at the time. The book covers topics like the logic of scientific inference, levels of generality, and historicist causal imagery. Hence, its contents can be put into practice by students, research workers, and sociologists.

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Bernard, H. R., Killworth, P. D., Johnsen, E. C., Shelley, G. A., & McCarty, C. (2001). Estimating the ripple effect of a disaster. Connections, 24(2), 18-22.

This article aims to suggest an approach to estimating the ripple effect of events. As Bernard et al. (2001) state, they apply a network scale-up model assessing the number of “people in the U.S. who know someone who experienced the terrorist attacks of September 11, 2001” (p. 18). The authors suggest three ways of determining the number of people who experienced a disaster or attack. Hence, the article is valuable for statisticians since it focuses on a practical approach to the issue.

Box, G. E. P., & Box, G. E. P. (2006). Improving almost anything: Ideas and essays. Wiley-Interscience.

This work reflects on the concept of improvement, which is statistical in its essence. It focuses on quality and considers experimental design, time series analysis, and other aspects where analytical tools and related materials can be applied. Insights on quality improvement and the design of experiments for process improvement are provided in the book. Therefore, it will be of particular value for statisticians and students interested in quality improvement.

Bruning, J. L., & Kintz, B. L. (1999). Computational handbook of statistics. Longman.

In this book, Bruning and Kintz aim to not only provide theoretical discussions of statistics and related concepts but also present how they are applied in practice. By emphasizing application, the authors make their work useful for students with basic statistics knowledge, allowing them to expand it as they progress through the book. Bruning and Kintz offer a step-by-step guide to statistical analysis, providing actual examples from behavioral and social sciences. Moreover, multivariate analyses and the latest computer applications to statistics are discussed in the book.

Wolf‐Powers, L. (2017). Food deserts and real‐estate‐led social policy. International Journal of Urban and Regional Research, 41(3), 414-425. Web.

This article by Wolf‐Powers analyzes the food desert paradigm in the U.S. and related policy interventions. It primarily addresses urban researchers, drawing attention to the issue of food access and nutrition. A food desert refers to a phenomenon that emerges due to geographical, racial, and socioeconomic factors. Food deserts can be defined as extensive areas without grocery stores, prevailing in low-income neighborhoods. Wolf‐Powers (2017) highlights the need for higher wages in the context of “property‐led anti‐poverty efforts” (p. 414). Thus, the article comprises a wide range of issues associated with food insecurity, public health, and social policy, presenting insights for their solution.

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