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Science exploration plays a vital role in children's lives as they make sense of the world around them. Now in its fifth edition, Science in Early Childhood complements the recently updated Early Years Learning Framework (EYLF) and the Australian Curriculum: Science. It offers a comprehensive introduction to the essential elements of science learning and teaching for pre-service teachers and early childhood professionals. This edition has been revised to closely align with the EYLF and Australian Curriculum: Science. It includes more content on sustainability – a rapidly growing area in early childhood science – and a stronger focus on Aboriginal and Torres Strait Islander perspectives. Each chapter includes case studies, reflection questions and practical tasks which help to bridge the gap between theory and practical applications of new concepts. Supplementary resources are available online for instructors. Science in Early Childhood is an invaluable resource for pre-service teachers and early childhood professionals.
The fully updated second edition of this innovative textbook provides a system analysis approach to sustainability for advanced undergraduate and graduate students. To an extent unparalleled in other textbooks, the latest scientific data and insights are integrated into a broad and deep transdisciplinary framework. Readers are encouraged to explore and engage with sustainability issues through the lenses of a cultural and methodological pluralism which promotes dialogue and alliances in the search for a (more) sustainable future. Ideal for students and their teachers in sustainable development, environmental science and policy, ecology, conservation, natural resources and geopolitics, the book will also appeal to interested citizens, activists, and policymakers, exposing them to the variety of perspectives on sustainability issues. Review questions and exercises provide the opportunity for consolidation and reflection. Online resources include appendices with more advanced mathematical material, model answers, and a wealth of recommended additional sources.
Statistics Using R introduces the most up-to-date approaches to R programming alongside an introduction to applied statistics using real data in the behavioral, social, and health sciences. It is uniquely focused on the importance of data management as an underlying and key principle of data analysis. It includes an online R tutorial for learning the basics of R, as well as two R files for each chapter, one in Base R code and the other in tidyverse R code, that were used to generate all figures, tables, and analyses for that chapter. These files are intended as models to be adapted and used by readers in conducting their own research. Additional teaching and learning aids include solutions to all end-of-chapter exercises and PowerPoint slides to highlight the important take-aways of each chapter. This textbook is appropriate for both undergraduate and graduate students in social sciences, applied statistics, and research methods.
Social workers are increasingly faced with contemporary global challenges such as inequality, climate change and displacement of people. As a field committed to supporting the world's most vulnerable populations and communities, social work must adapt to meet the needs of this changing global landscape. Re-imagining Social Work broadens the imaginative horizons for social workers and acquaints readers with their potential to creatively contribute to global change. Written in an accessible style, this book motivates readers to think outside the box when it comes to linking theory to their social work practice, in order to construct innovative solutions to prominent social problems. Re-imagining Social Work provides a unique perspective on how social work can evolve for the future. Through theory and critical perspective, this book provides the skills required to be an innovative creative social worker.
The quest for sustainable development is for the individual person largely conditioned by personal endowments and natural and social context. The mass of individual behaviours determines how the collective future unfolds, which in turn affects contexts. How such futures might unfold can be explored in a mix of qualitative story-telling and quantitative modelling, also known as scenarios. Many (world) futures scenarios have been constructed since one of the first ones, The Limits to Growth report (1971), was published. Their names reflect the underlying worldviews. The worldview framework can explicitly be used to link dominant values and beliefs to probable events and pathways, with the use of computer models. It should start with the narrative of Modernity and an investigation of counternarratives. It gives an impression of what humanity can expect in the coming century, and the potential overshoot-and-collapse risks. It can shape the agenda of sustainability science. In the end, however, it is primarily for the individual human being to (re)orient towards a more sustainable way of life and a corresponding state of consciousness and maturity.
In 1782, Rüdiger published a book titled Von der Sprache und Herkunft der Zigeuner aus Indien (On the Indic Language and Origin of the Gypsies). In that book, Rüdiger postulated an Indian origin of the Romani language and its speakers and its connection to languages of the Indian subcontinent such as Hindi and Bengali. He used a surprisingly modern methodology, collecting his Romani data directly from a Romani speaker (which he admitted to finding “tiresome and boring”) and his Hindi data from a manual written by a missionary. He examined the vocabularies of Romani and Hindi, including numerals like ekh/ek ‘one’, duj/do ‘two’, trin/tīn ‘three’, and so on (the first numeral in each pair listed here is from Romani and the second is from Hindi). Noticing similarities across numerous vocabulary items, Rüdiger surmised that these similarities must derive from the common origin of the two languages. But Rüdiger did not limit himself to examining the vocabulary of Romani and other languages we now call Indo‑Aryan. He wrote: “As regards the grammatical part of the language the correspondence is no less conspicuous, which is an even more important proof of the close relation between the languages” (Rüdiger [1782] 1990: 7).
Chapter 10 covers INFERENCES INVOLVING THE MEAN OF A SINGLE POPULATION WHEN σ IS KNOWN and includes the following specific topics, among others: Estimating the Population Mean, μ, Interval Estimation, Confidence Intervals, Hypothesis Testing and Interval Estimation, Effect Size,Type II Error, and Power.
Chapter 6 covers SIMPLE LINEAR REGRESSION and includes the following specific topics, among others: the “best-fitting” line, accuracy of prediction, standardized regressin, R as a measure of overal fit and the importance of the scatterplot..
Chapter 4 covers the re-expression/trannsformatin of variables and includes the following specific topics, among others: Linear and Nonlinear Transformations, Standard Scores, z-Scores,Recoding Variables, Combining Variables, Data Management Fundamentals, and the importance of the .do-File.
If you have gone through some or all of the preceding chapters, you may be left with the feeling of what to do, who to be? Hopefully, the preceding texts also touch the heart, because, in Aristotle’s words, ‘educating the mind without educating the heart is no education at all’.
In this chapter, we consider two large language families, Uralic and Turkic, as well as several smaller language families and isolates. Section 4.1 examines the Uralic language family. The realm of Uralic languages stretches from northern Scandinavia in the northwest and the Great Hungarian plain in the southwest to east of the Ural Mountains, the mountain chain that separates Europe and Asia. In section 4.2 we examine Turkic languages and in section 4.3 languages of Siberia that do not belong to the Turkic or Uralic family. This vast region – larger than any independent country – is home to dozens of indigenous languages still spoken today. Finally, section 4.4 introduces an unusual linguistic phenomenon that is found in Turkish and several of the Siberian languages (as well as some other languages elsewhere), called grammatical evidentiality (or evidentiality, for short).
Minerals, notably metals and construction materials, have been used for millennia, but the extent and diversity has enormously increased with industrialization. They occur as deposits of chemically bonded elements, accumulated over geological time and non-renewable on a human scale. Unlike energy, materials accumulate in stocks of goods, buildings, machinery, etc., and waste. Material flow analysis (MFA) covers the entire chain of extraction, processing, manufacturing, (re-)using and dissipation. Problems arise with depletion of high-grade deposits and with pollution of the environment (mining, waste, etc.) and its impacts for human and ecosystem health. In particular, the production and use of existing and new persistent chemicals -- with plastics as the most visible example -- are a great and only partly understood threat. Parts of the flows are unrecoverably dissipated; this should be minimized by increasing efficiency, reducing losses and collecting and processing waste along the chain. Redesign, reuse and recycling and developing substitutes are other approaches to mitigate geopolitical tensions and environmental destruction. How successful this can and will be depends on worldviews and their relative dominance, for instance in continuing growth with corporate tech versus local--regional regulation and behavioural change.
Chapter 12 covers AN INTRODUCTION TO RESEARCH DESIGN and includes the following specific topics, among others: Descriptive, Relational, and Causal Research Studies , Blocking, Quasi-Experimental Designs, Threats to Internal Validity, and Threats to External Validity.
In Part II, we discussed how human populations have dispersed throughout the biosphere and become a planetary force. In Part III, this was investigated with help of the worldview framework. This permits an interpretation of socio-ecological developments in terms of extreme manifestations of particular values and beliefs and the dynamic responses to it. Both science and ethics are important components in this venture.
The ’good life’ many people aspire to has many component. Three of them I call ’pillars of development’: health, education and mobility (HEM). Health has greatly improved for many people, due to a decline in mortality and morbidity rates. It shows up in the rise in life expectancy worldwide. This is primarily thanks to better food, hygiene and medical services. Because casues of mortality shifted from infectious diseases to chronic non-communicative degenerative ailments, the notion of health transition has been introduced. The level of formal education is also rising worlwide, with important consequences for political organization and rights for women. Mobility has experienced an enormous growth, which has resulted in ever larger distances travelled within an hour due to changes to faster modes (walk - bicycle - car/train/bus - plane). Many technological, economic and sociopolitical developments affect the future of HEM-infrastructure and services. All three have an inherent public-good character, which gives rise to divergent worldviews regarding their provision and quality (private versus state, efficiency versus availability).
Chapter 2 covers univariate distributions and includes the following specific topics, among others: Frequency and Percent Distribution Tables, Bar Charts, Pie Charts, Stem-and-Leaf Displays, Histograms, Line Graphs, Shape of a Distribution, Cumulative Percent Distributions, Percentiles, Percentile Ranks, and Boxplots.