Being anxious about mathematics is a common feeling in higher education. Can addressing emotional and affective responses to mathematics improve teaching?

Explore practical answers to key questions on simulating linear regression models, controlling predictor correlation, adjusting effect strength, and ensuring reproducibility. Q1: Why should I simulate linear regression models instead of using real-world data? Q2: How do I ensure my simulated linear model results are reproducible? Q3: How do I simulate a linear regression model with multiple predictors? Q4: Why do not the estimated parameters (lm()) exactly match my defined $\beta_0$ and $\beta_1$ values?

Academic scholarship is meant to proportion claims to evidence, yet scholars can and do oversell their findings. Is it possible for authors and journals change?

Could geography change your research conclusions? Join our free, 90-minute online seminar for PhD students, postdocs and researchers to explore why location, neighbourhood effects and territorial boundaries matter for rigorous social science. This guided, code-free showcase brings spatial thinking to life through finished maps, published studies and real examples of electoral behaviour, policy diffusion and place-based inequality. Discover when spatial analysis can strengthen your research—and see how R can serve as a complete Geographic Information System (GIS), not just a statistics tool. No coding experience or prior GIS knowledge is needed. Attend live via Zoom or watch the recording, with 30-day access to seminar materials and an expert-monitored Q&A forum, plus a certificate of completion. Take your first step beyond descriptive mapping and discover what geographic thinking could reveal in your research! #AppliedResearch #ComputationalSocialScience #DataAnalytics #DataScience #Economics #Geography #PoliticalScience #QuantitativeMethods #ResearchMethods #Scientificprogramming #SocialSciences #SpatialData #Statistics #PublicPolicy #Sociology #R #Research #ResearchTraining #Instats

Ready to take your social network research beyond descriptive metrics? Join Antonio Zinilli for an advanced, hands-on online seminar on social network analysis using RStudio, designed for PhD students, postdoctoral researchers, and established social scientists. Learn to prepare relational data, compute and interpret centrality measures, create publication-quality network visualisations, and connect network patterns to substantive research questions. A real-world case study and an introduction to Exponential Random Graph Models (ERGMs) will help you build a rigorous, reproducible workflow for dissertations, publications, and collaborative projects. Attend live via Zoom or learn asynchronously, with recordings, materials, and expert-monitored Q&A available for 30 days after the seminar. An official Instats certificate of completion is included. #SocialNetworkAnalysis #RStudio #PhD #ResearchMethods #ComputationalSocialScience #ComputationalSocialScience #ComputationalStatistics #Criminology #DataAnalytics #DataScience #Demography #NetworkAnalysis #PoliticalScience #QuantitativeMethods #ResearchMethods #SocialNetworkAnalysis #SocialPolicy #SocialPsychology #SocialSciences #SocialStratification #Sociology #Statistics #RStudio #Research #ResearchTraining #Instats

Ready to modernize your systematic reviews and meta-analyses without compromising scientific rigor? Join professors Hadi Fariborzi and Piers Steel, co-founders of HubMeta, for a two-day, hands-on online seminar designed for PhD students and professional researchers. Learn a rigorous, AI-integrated workflow that takes you from research questions and reproducible searches through screening, data extraction, quantitative and qualitative synthesis, and manuscript-ready outputs. Worked examples in HubMeta—a free AI-enabled platform used by over 6,000 researchers—and parallel demonstrations in R will help you build practical skills in meta-analysis, advanced modeling, and reproducible reporting. Attend live via Zoom or learn asynchronously, with recordings, materials, and an expert-monitored Q&A forum available for 30 days after the seminar. Participants also receive an official Instats certificate of completion and a free six-month subscription to any future paid HubMeta features. Build the skills to make your next evidence synthesis more scalable, transparent, and reproducible. #QualitativeResearch #QuantitativeMethods #ResearchMethods #Education #InformationScience #ComputerScience #Statistics #DataScience #HubMeta #R #Research #ResearchTraining #Instats

Advance your quantitative research skills with this two-day online workshop on Structural Equation Modeling (SEM) for PhD students and professional researchers in psychology and the behavioural sciences. Led by Scott Colwell (University of Guelph and Enablytics), the seminar introduces the conceptual foundations and applied practice of SEM, with a focus on latent variable modelling, measurement error, confirmatory factor analysis, mediation, model comparison, reliability, missing data, simulation-based power analysis, and reproducible R/lavaan workflows. Through real psychological examples, step-by-step demonstrations, and guided exercises, participants will learn how to build, evaluate, interpret, and report SEM models in ways that align with substantive theory and journal expectations. The seminar is delivered live via Zoom, with recordings, slides, code, data, and materials available for 30 days after the workshop, plus access to an expert-moderated Q&A forum and an official Instats certificate of completion. #Psychology #QuantitativeMethods #Statistics #DataScience #lavaan #R #Research #ResearchTraining #Instats

Why do we see red, feel blue, or turn green with envy? Join our one-day online seminar with Dr Domicele Jonauskaite (Institute of Psychology, University of Lausanne) to explore the fascinating intersection of colour perception, emotion, language, and culture. Designed for PhD students, post-docs, professors, and research professionals, this workshop will synthesize evidence from a recent systematic review and large-scale research spanning 73 countries and 46 languages, examining which colour–emotion associations may be universal and which are shaped by cultural, geographic, and linguistic context. Participants will gain insight into cross-cultural research design, reproducible and quantitative methods, and mechanistic evidence from colour-blind and blind populations, with opportunities to discuss collaborative projects, preregistration, and publication strategies. The seminar will be held via Zoom, with recordings, slides, materials, and a monitored Q&A forum available for 30 days afterward, and participants will receive an official Instats certificate of completion. #AffectiveScience #CognitivePsychology #CulturalStudies #Psychology #QuantitativeMethods #Statistics #Anthropology #Linguistics #CognitiveScience #Research #ResearchTraining #Instats

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Build a stronger foundation for rigorous, reproducible regression analysis with our online seminar for PhD students and professional researchers. This practical workshop introduces the R programming environment, the RStudio interface, Quarto-based reporting, linear and multiple regression, and the rms package for model specification, estimation, diagnosis, prediction, and visualization. Through a complete case study on body fat estimation, participants will learn how to import and annotate data, write analysis scripts, construct and interpret model formulas, fit and diagnose regression models, test composite hypotheses, generate predictions and intervals, and produce transparent HTML reports that integrate code, output, and interpretation. The seminar is available live via Zoom, with recordings, slides, code, output, and data available online for 30 days, plus access to a monitored Q&A forum for follow-up questions. Participants receive an official Instats certificate of completion, with ECTS Equivalent points available where indicated. #Biostatistics #Epidemiology #QuantitativeMethods #SoftwareEngineering #Statistics #DataScience #ComputerScience #R #RStudio #Quarto #Research #ResearchTraining #Instats

Geographic data are everywhere in political and social research, but how can we move from mapping patterns to making credible causal claims? This online seminar for PhD students, postdoctoral researchers, and professional researchers introduces practical strategies for causal analysis with spatial data, focusing on distance-based modelling and geographic regression discontinuity designs. Using fully worked examples in R, including international exposure and electoral participation in Madrid and the electoral impact of Madrid’s Low Emission Zone, participants will learn how to compute and interpret spatial distances and buffers, build regression models with spatial exposure measures, assess residuals and misspecification, construct signed running variables, estimate local treatment effects with rdrobust, and evaluate robustness through placebo tests and bandwidth checks. Taught by Fernando De la Cuesta (Universidad Complutense de Madrid / ECPR Methods School), the seminar is designed for researchers working with elections, policy borders, administrative boundaries, place-based interventions, or spatial exposure who want to strengthen their research design and produce more defensible, publishable empirical work. The seminar is delivered via Zoom, with recordings, materials, reusable R scripts, and Q&A forum access available for 30 days, plus an official Instats certificate of completion. #ComputationalSocialScience #DataScience #Geography #PoliticalScience #QuantitativeMethods #ResearchMethods #SocialSciences #SpatialData #Statistics #ggplot2 #GIS #PositCloud #R #Rmarkdown #RStudio #tidyverse #Research #ResearchTraining #Instats

We are hiring a post-doctoral research fellow to join a vibrant research group with an interest in leading edge research on globalization. The group�...

Linguistics Society of America Summer Institute

Linguistics Society of America Summer Institute

Linguistics Society of America Summer Institute

Publishing in FT-50 journals is a major milestone for management scholars, and this online seminar offers a practical, evidence-informed pathway for getting there. Led by Arjun Mitra (California State University, Los Angeles), an FT-50 published scholar with editorial board experience at journals including Human Relations and Journal of Management Studies, the workshop gives PhD students, postdoctoral researchers, and academic staff concrete guidance on framing strong contribution claims, building theory, structuring introductions and discussions, aligning empirical strategy with theoretical arguments, and responding effectively to reviewers. Through successful manuscript examples, anonymised reviewer reports, manuscript clinic sessions, peer review exercises, and personalised feedback, participants will learn how to strengthen their own papers for top-tier management journals such as Organization Science, Human Relations, and Journal of Business Ethics. The seminar is delivered live via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days after the seminar, and participants receive an official Instats certificate of completion. #Business #Ethics #HumanCapital #HumanResourceManagement #Leadership #Management #OnlineSurvey #OrganisationalPsychology #OrganizationalBehavior #OrganizationStudies #Psychology #QuantitativeMethods #SocialPsychology #SocialSciences #Writing #Education #Research #ResearchTraining #Instats