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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact

Science: general issues --- Psychology --- structural equating modeling --- Measurement invariance (MI) --- Multilevel (ML) --- Mediation --- Moderation --- meta analysis --- effect size --- Complex data --- Estimation --- carryover effect

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"A provocative and timely case for how the science of genetics can help create a more just and equal society. In recent years, scientists like Kathryn Paige Harden have shown that DNA makes us different, in our personalities and in our health-and in ways that matter for educational and economic success in our current society. In The Genetic Lottery, Harden introduces readers to the latest genetic science, dismantling dangerous ideas about racial superiority and challenging us to grapple with what equality really means in a world where people are born different. Weaving together personal stories with scientific evidence, Harden shows why our refusal to recognize the power of DNA perpetuates the myth of meritocracy, and argues that we must acknowledge the role of genetic luck if we are ever to create a fair society.Reclaiming genetic science from the legacy of eugenics, this groundbreaking book offers a bold new vision of society where everyone thrives, regardless of how one fares in the genetic lottery"--

Genetics --- Social aspects. --- Academic achievement. --- Adolescence. --- Alcoholism. --- Allele. --- Americans. --- Association for Psychological Science. --- Autism. --- Behavior. --- Behavioural genetics. --- Bioethics. --- Biology. --- Causal inference. --- Chromosome. --- Cookbook. --- Deaf culture. --- Developmental psychology. --- Economic inequality. --- Education. --- Educational attainment. --- Educational inequality. --- Effect size. --- Environmental factor. --- Equal opportunity. --- Equality of outcome. --- Estimation. --- Eugenics. --- Experiment. --- Explanation. --- Eye color. --- Genetic association. --- Genetic diversity. --- Geneticist. --- Genetics. --- Genome-wide association study. --- Genomics. --- Genotype. --- Grandparent. --- Hearing loss. --- Heredity. --- Heritability. --- Human behavior. --- Ideology. --- Income. --- Inference. --- Inferiority complex. --- Ingredient. --- Institution. --- Insurance. --- Intellectual disability. --- Level of analysis. --- Make A Difference. --- Measurement. --- Mental disorder. --- Meritocracy. --- Meta-analysis. --- Moral responsibility. --- My Child. --- Nature versus nurture. --- Obesity. --- On Intelligence. --- Oppression. --- Pessimism. --- Phenotype. --- Philosopher. --- Polygenic score. --- Prediction. --- Princeton University Press. --- Probability. --- Protein. --- Psychologist. --- Psychology. --- Race (human categorization). --- Racism. --- Result. --- Richard Lewontin. --- Russell Sage Foundation. --- Schizophrenia. --- Scientist. --- Sexism. --- Sibling. --- Social class. --- Social inequality. --- Social science. --- Social status. --- Socioeconomic status. --- Sociology. --- Sperm. --- Standardized test. --- Statistic. --- Suggestion. --- Superiority (short story). --- Symptom. --- Technology. --- The Bell Curve. --- The Philosopher. --- Theodosius Dobzhansky. --- Twin study. --- Twin. --- Underclass. --- Wealth.

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Meta-analysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This is the first comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an up-to-date guide for experienced meta-analysts. The chapters, written by renowned experts, walk readers through every step of meta-analysis, from problem formulation to the presentation of the results. The handbook identifies both the advantages of using meta-analysis for research synthesis and the potential pitfalls and limitations of meta-analysis (including when it should not be used). Different approaches to carrying out a meta-analysis are described, and include moment and least-square, maximum likelihood, and Bayesian approaches, all illustrated using worked examples based on real biological datasets. This one-of-a-kind resource is uniquely tailored to the biological sciences, and will provide an invaluable text for practitioners from graduate students and senior scientists to policymakers in conservation and environmental management. Walks you through every step of carrying out a meta-analysis in ecology and evolutionary biology, from problem formulation to result presentation Brings together experts from a broad range of fields Shows how to avoid, minimize, or resolve pitfalls such as missing data, publication bias, varying data quality, nonindependence of observations, and phylogenetic dependencies among species Helps you choose the right software Draws on numerous examples based on real biological datasets

Meta-analysis. --- Evolution --- Ecology --- Philosophy --- Creation --- Emergence (Philosophy) --- Teleology --- Medicine --- Psychometrics --- Social sciences --- Mathematical models. --- Statistical methods. --- Research --- Evaluation --- Statistical methods --- Bayesian analysis. --- Bayesian approach. --- Lepidoptera mating. --- allometric scaling. --- average trends. --- biodiversity. --- collaborative research. --- computer software. --- conceptual tool. --- conservation. --- conventional wisdom. --- data analysis. --- data appraisal. --- data collection. --- data extraction. --- data gathering. --- data quality. --- ecology. --- effect size. --- effect sizes. --- evolution. --- evolutionary biology. --- exemplar studies. --- forest plots. --- imputation methods. --- insufficient data. --- interaction effects. --- invasive plants. --- knowledge gaps. --- large-scale monitoring. --- least-squares method. --- literature search. --- management intervention. --- maximum likelihood estimation. --- medicine. --- meta-analysis database. --- meta-analysis. --- meta-analytic process. --- meta-regression plots. --- missing data. --- moment-based approach. --- non-independence. --- parameter estimation. --- partial information. --- phylogenetic nonindependence. --- phylogenetic relationships. --- plant abundance. --- primary data. --- problem formulation. --- publication bias. --- published studies. --- quantitative research synthesis. --- research evidence. --- research pooling. --- research practice. --- research synthesis. --- sample error. --- sampling. --- scatter plots. --- scientific literature. --- scientific publications. --- scoping search. --- sex ratio theory. --- sexual selection. --- small-scale surveys. --- social sciences. --- statistical analysis. --- statistical inference. --- statistical methodology. --- statistical models. --- statistical power. --- statistical software. --- statistical tool. --- study quality. --- study replication. --- study selection. --- subjectivity. --- systematic research synthesis. --- systematic review. --- systematic reviews. --- systematic search. --- temporal change. --- temporal trends. --- visualization.