Research Methods, Statistics, and Applications by Kathrynn A. Adams and Eva K. McGuire is designed to give students the experience of being a researcher by combining the interrelated concepts of research methods and statistics to better explain how the research process incorporates both elements. Employing a conversational tone throughout, coupled with an emphasis on decision-making, this best-selling text will spark students' interest in conducting research and improve their ability to critically analyze research in their daily lives. The Third Edition includes a new chapter on measurement to better highlight its critical importance, updates for the 7th edition of the Publication Manual of the American Psychological Association, new examples related to social justice, additional sections on qualitative research methods, and more thorough integration of research ethics information and tips throughout each chapter.
STUDENTS LEARN probability and statistics by conducting a dice rolling tournament. Determine how likely it is to win a game? How about the entire tournament! FUN FUN FUN!!!Real, relevant, active, engaging is my style. I wrote this activity so you didn't you have to!
Seminars held by the worlds top universities generally present the most up to date and respected ideas in relation to conducting research. Recently, I was lucky enough to attend a conference where …
Now in its fourth edition, Medical Statistics at a Glance is a concise and accessible introduction to this complex subject. It provides clear instruction on how to apply commonly used statistical procedures in an easy-to-read, comprehensive and relevant volume. This new edition continues to be the ideal introductory manual and reference guide to medical statistics, an invaluable companion for statistics lectures and a very useful revision aid. This new edition of Medical Statistics at a Glance: Offers guidance on the practical application of statistical methods in conducting research and presenting results Explains the underlying concepts of medical statistics and presents the key facts without being unduly mathematical Contains succinct self-contained chapters, each with one or more examples, many of them new, to illustrate the use of the methodology described in the chapter. Now provides templates for critical appraisal, checklists for the reporting of randomized controlled trials and observational studies and references to the EQUATOR guidelines for the presentation of study results for many other types of study Includes extensive cross-referencing, flowcharts to aid the choice of appropriate tests, learning objectives for each chapter, a glossary of terms and a glossary of annotated full computer output relevant to the examples in the text Provides cross-referencing to the multiple choice and structured questions in the companion Medical Statistics at a Glance Workbook Medical Statistics at a Glance is a must-have text for undergraduate and post-graduate medical students, medical researchers and biomedical and pharmaceutical professionals.
Seminars held by the worlds top universities generally present the most up to date and respected ideas in relation to conducting research. Recently, I was lucky enough to attend a conference where …
The book will be designed primarily for graduate students (or advanced undergraduates) who are learning psychometrics, as well as professionals in the field who need a reference for use in their practice. We would assume that users have some basic knowledge of using SPSS to read data and conduct basic analyses (e.g., descriptive statistics, frequency distributions). In addition, the reader should be familiar with basic statistical concepts such as descriptive statistics (e.g., mean, median, variance, standard deviation), percentiles and the rudiments of hypothesis testing. They should also have a passing familiarity with issues in psychometrics such as reliability, validity and test/survey scoring. We will not assume any more than basic familiarity with these issues, and will devote a portion of each chapter (as well as the entire first chapter) to reviewing many of these basic ideas for those not familiar with them. We envision the book as being useful either as a primary text for a course on applied measurement where SPSS is the main platform for instruction, or as a supplement to a more theoretical text. We also anticipate that readers working in government agencies responsible for testing and measurement issues at the local, state and national levels, and private testing, survey and market research companies, as well as faculty members needing a practical resource for psychometric practice will serve as a market for the book. In short, the readership would include graduate students, faculty members, data analysts and psychometricians responsible for analysis of survey response data, as well as educational and psychological assessments. The goal of the book is to provide readers with the tools necessary for assessing the psychometric qualities of educational and psychological measures as well as surveys and questionnaires. Each chapter will cover an issue pertinent to psychometric and measurement practice, with an emphasis on application. Topics will be briefly discussed from a theoretical/technical perspective in order to provide the reader with the background necessary to correctly use and interpret the statistical analyses that will be presented subsequently. Readers will then be presented with examples illustrating a particular concept (e.g., reliability). These examples will include a discussion of the particular analysis, along with the SPSS code necessary to conduct them. The resulting output will then be discussed in detail, focusing on the interpretation of the results. Finally, examples of how these results might be written up will also be included in the text. It is hoped that this mixture of theory with examples of actual practice will serve the reader both as a pedagogical tool and as a reference work. To our knowledge, no book outlining psychometric practice using commonly available software such as SPSS currently exists. Given that many practitioners in academia, government and private industry use SPSS for statistical analyses of testing data, we believe that our book will fill an important niche in the market. It will contain very practical information regarding how to conduct a wide variety of psychometric analyses, along with tips on interpretation of results and the appropriate format for reporting these results. We believe that it will prove useful to individuals in educational measurement, psychometrics, and survey and market research. Our text will add to the literature by providing users with a single reference containing the major ideas in applied psychometrics with instructions and examples for conducting the analyses in SPSS. In addition, we will provide original macros for estimating a variety of statistics and conducting analyses common in educational and psychological measurement.
Looking for novel way to get your middle school students excited about math and statistics?! This file contains everything you need to conduct the experiment (except the Tootsie Pops!) that answers the age old question "How many licks does it take to get the center of a tootsie pop?" The lesson covers mean, median, mode, range, outliers, tables, graphs, box and whisker plots, data collection, pre and post discussion questions, experimental procedures, and student reflection. I also provided a short clip of the old commercial and worksheets students can use during the experiment. I've also added assorted extension activity ideas I've used in the past. On the day of the experiment, I wear a Tootsie Pop t-shirt which creates lots of excitement and anticipation for the kids. It's worth the investment! (Example results included) ADDITION: I've added a picture of the display I used for this project. Individually, the project does not make a great display, but I complied the data that we collected from each quarter and made a few graphs. Along with examples of quality work, this made a great display!
Taking a simplified approach to statistics, this textbook teaches students the skills required to conduct and understand quantitative research. It provides basic mathematical instruction without compromising on analytical rigor, covering the essentials of research design; descriptive statistics; data visualization; and statistical tests including t-tests, chi-squares, ANOVAs, Wilcoxon tests, OLS regression, and logistic regression. Step-by-step instructions with screenshots are used to help students master the use of the freely accessible software R Commander. Ancillary resources include a solutions manual and figure files for instructors, and datasets and further guidance on using STATA and SPSS for students. Packed with examples and drawing on real-world data, this is an invaluable textbook for both undergraduate and graduate students in public administration and political science. Worked examples or Exercises
In this book, the authors pursue quantitative, qualitative and mixed methods approaches, conducting hundreds of large-scale surveys and in-depth interviews in 679 schools, 67 counties and 13 provinces throughout China. They also conducted longitudinal case studies in five municipalities and provinces to better reflect education reform and development in…
Hello,If you're looking for an activity for your AP Statistics students to do after AP testing, this is a good project to occupy 2-3 weeks of time. The project can be done in groups or individually. The project allows students to pick a topic of their choice and conduct a 1 or 2 sample hypothesis te...
Statistics without Maths for Psychology 9th edition by John Reidy and Christine Dancey is an essential and accessible guide to Statistics for Psychology. The no-nonsense, straight-forward approach of this trusted textbook breaks down the key statistical concepts that you need to know without any of the daunting mathematical formulae that can intimidate students when studying research methods and statistics in Psychology. It also guides you through how to use SPSS for your analyses, so that you feel confident to conduct your own future independent research. It is also packed with examples, activities and questions to help you to test your learning and deepen your understanding in a practical and manageable way. The companion website will also include video walkthroughs of these concepts in Jamovi, in case you or your institution uses this programme for your analysis.
In this book, the authors pursue quantitative, qualitative and mixed methods approaches, conducting hundreds of large-scale surveys and in-depth interviews in 679 schools, 67 counties and 13 provinces throughout China. They also conducted longitudinal case studies in five municipalities and provinces to better reflect education reform and development in…
In this project, students conduct a statistical investigation. Students come up with two categorical questions and two numerical questions. They collect data by surveying their peers, graph data by hand or on the computer, analyze data by calculating some measures of central tendency and variance, and interpret data by drawing conclusions or inferences. Then, students make a poster, write a report, or come up with another creative way to display their work. The Statistics Investigation Project can be used before the unit as a pre-assessment, during the unit as a formative assessment, or after the unit as a post-assessment. Included are: - Project Introduction and modified version - Project Rubric and modified version - Project Organizers and modified versions Feedback is appreciated! Happy teaching! ** This project is also available in the Real- World Math Projects Bundle. ** Real-World Math Projects Bundle
Applied Statistical Modelling for Ecologists: A Practical Guide to Bayesian and Likelihood Inference Using R, JAGS/Nimble, Stan and TMB provides an important guide and comparison of powerful new software packages that are now widely used in research publications, including JAGS, Stan, Nimble, and TMB. It provides a gentle introduction to the most exciting specialist software that is often used to conduct cutting-edge research, along with Bayesian statistics and frequentist statistics with its maximum likelihood estimation method. In addition, this book is simple and accessible, allowing researchers to carry out and understand statistical modeling. Through examples, the book covers the underlying statistical models widely used by scientists across many disciplines. Thus, this book will be useful for anyone who needs to quickly become proficient in statistical modeling, and in the model-fitting engines covered.
This tutorial teaches you how to use the statistical programming language R to develop a business case simulation and analysis. It presents a methodology for conducting business case analysis that minimizes decision delay by focusing stakeholders on what matters most and suggests pathways for minimizing the risk in strategic and capital allocation…
Seminars held by the worlds top universities generally present the most up to date and respected ideas in relation to conducting research. Recently, I was lucky enough to attend a conference where …
This is a comprehensive investigation of basic measures of central tendency (mean, median and mode) using a hands-on approach. This investigation occurs as a set of hands-on experiments that groups of students conduct using a set of 7 cups, Students start by filling the cups with water (or sand, or...
"An Introduction to Quantitative Text Analysis for Linguistics: Reproducible Research Using R" is a pragmatic textbook that equips students and researchers with the essential concepts and practical programming skills needed to conduct quantitative text analysis in a reproducible manner. Designed for undergraduate students and those new to the field, this book assumes no prior experience with statistics or programming, making it an accessible resource for anyone embarking on their journey into quantitative text analysis. Through a pedagogical approach which emphasizes intuitive understanding over technical details, readers will gain data literacy by learning to identify, interpret, and evaluate data analysis procedures and results. They will also develop research skills, enabling them to design, implement, and communicate quantitative text analysis projects effectively. The book places a strong emphasis on programming skills, guiding readers through interactive lessons, tutorials, and lab activities using the R programming language and real-world datasets. This practical text is enriched with features that facilitate learning, including thought and practical exercises, a companion website which includes programming demonstrations to develop and augment readers' recognition of how programming strategies are implemented, and a GitHub repository which contains both a set of interactive R programming lessons (Swirl) and lab exercises, which guide readers through practical hands-on programming applications. This text is an essential companion to any linguist looking to learn how to incorporate quantitative data analysis into their work. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license. 63 Tables, black and white; 46 Line drawings, black and white; 3 Halftones, black and white; 49 Illustrations, black and white
The United States Coast Guard uses pooled time series analysis to develop a ship and aviation fuel requirement forecasting model. Given the volatility of aviation fuel prices and the USAF dependency on foreign oil, alternative fuel sources are a serious consideration and require forecasting models when conducting comparison studies. This research uses the Coast Guard's methodology to develop an Air Force aviation fuel requirements model for the Air Force Cost Analysis Agency (AFCAA). By pooling 1,442 historical consumption time series data points, two regression models are developed that predict aviation fuel requirements in gallons. The remaining 356 randomly excluded data points are then used to validate the two regression models. The research shows that 100 percent of the least squares estimated gallons consumed fell within a 95 percent confidence interval for the single and the sub macro-level models. However, the single and sub macro-level models are fundamentally flawed as both fail the underlying linear regression assumptions of normality, constant variance, and independence. Although the research produces two models that predict aviation fuel requirements well, the application of either the single or sub macro-level models are discourage without proper understanding of the underlying statistics provided.
Cochrane RevMan framework Cochrane’s software for producing and maintaining Cochrane reviews is called Review Manager (RevMan). RevMan makes creating procedures and reviews easier, including language, research […]
HSC core: Personal Interest Project (30% of course time) The Personal Interest Project is integrated across the whole HSC course and draws together the interests, research skills and personal exper…
This contains the third and fourth lessons of the Experimental Design Unit for AP Statistics. Students will: -Define critical vocabulary -Describe the difference between an observational study and an experiment -Identify the experimental units, explanatory variable, response variable, and treatments in an experiment -Understand the necessity of comparison, random assignment, control, and replication in a well designed experiment -Describe and design a completely randomized experiment -Describe and design a block design (matched pairs) -Explain what is possible or not possible to infer about a study In addition to the guided notes (foldable book notes or regular guided notes), the following is included: -SMARTnotebook file for the teacher to fill in with the students -Homework/Classowork 2 Homework/Classworsk are included. This lesson is set up to have the teacher lead the students through the note-taking process while incorporating examples for the students to try. The answer key is provided with the pages numbered. I will also be making videos that take the student through the lesson for those that flip their classroom or for absent students.
This textbook introduces graduate students in education and policy research to data and statistical methods in state-level higher education policy analysis. It also serves as a methodological guide to students, practitioners, and researchers who want a clear approach to conducting higher education policy analysis that involves the use of institutional- and state-level secondary data and quantitative methods ranging from descriptive to advanced statistical techniques. This book is unique in that it introduces readers to various types of data sources and quantitative methods utilized in policy research and in that it demonstrates how results of statistical analyses should be presented to higher education policy makers. It helps to bridge the gap between researchers, policy makers, and practitioners both within education policy and between other fields. Coverage includes identifying pertinent data sources, the creation and management of customized data sets, teaching beginning and advanced statistical methods and analyses, and the presentation of analyses for different audiences (including higher education policy makers). 35 Illustrations, black and white; XI, 243 p. 35 illus.
Understanding the Importance of Data Collection and Sampling Introduction: When it comes to conducting market research to identify the characteristics or preferences of an audience, sampling plays an important role. Sampling is, basically, the process of selecting a group of individuals from a large population in order to collect statistical data and derive statistical inferences […]
This Easter lesson encourages a discussion about ethics and consumer responsibility. We discuss government conduct, environmental challenges, legal humanitarian issues, and the concept of boycotting, all under the Easter holiday excuse. $2.5 billion is spent on chocolate in Easter, in the USA Alone.
"This is the best textbook about writing an M.A. thesis available in the market." -Hsin-I Liu, University of the Incarnate Word The Third Edition of How to Write a Master's Thesis is a comprehensive manual on how to plan and write a five-chapter master's thesis, and a great resource for graduate students looking for concrete, applied guidance on how to successfully complete their master's degrees. While research methods and statistics courses may teach students the basic information on how to conduct research, putting it all together into a single project and document can be a challenge. Author Yvonne Bui demystifies this process by integrating the language learned in prerequisite methods and statistics courses into a step-by-step guide for developing a student's own thesis or project.
A Practical Approach to using Multivariate Analyses Using Multivariate Statistics, 6th edition provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to todays most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics. This texts…
This is an activity in which students design and conduct their own probability experiment. In the lesson, students demonstrate their understanding of theoretical and experimental probability. In addition to the materials provided, you will also need experiment supplies (dice, counters, cards, spinners, etc.) to provide to students so that they can conduct their experiment. This document includes a lesson plan, "What Are the Chances?" student worksheet, and a teacher example worksheet that can be used to model an experiment with students. The teacher example shows students how to make a tree diagram to calculate the probability of an event happening. This can be a small group, partner, or individual activity. This is a great way to make probability hands-on and fun for students! It is great for grades 6-8! Enjoy! Get the majority of my math products, including this "What Are the Chances?" activity, at a large discount by purchasing them as a part of my Math Workshop Full Year Mega Bundle. Math Workshop Full Year Mega Bundle (For Upper Elementary/Middle School Math) Check out some of my other upper elementary and middle school products at the following links! Math Enrichment Full-Year Bundle - 6th Grade (Includes 12 units) Math Brain Busters Bundle Clip art in the cover photo thanks to AliMath at http://www.teacherspayteachers.com/Product/Game-Pieces-and-Dice-Clipart-434041.
Quantitative Psychological Research: The Complete Student's Companion, expertly guides the reader through all the stages involved in undertaking quantitative psychological research: designing a study, choosing a sample of people, undertaking the study, analysing the data, and reporting the research. Accessibly written and clearly presented, the book is designed for anyone learning to conduct quantitative psychological research as well being a reference work for professional psychologists. It covers the full research process, from the original idea to reporting the completed study, emphasizing the importance of looking beyond statistical significance in evaluating data. The book provides step-by-step guidance on choosing, interpreting and reporting the appropriate analysis, featuring worked examples and extended calculations as appendices for readers who wish to delve further. This edition features a new chapter examining ideas on how causality might be identified when data is not obtained from an experiment and has been thoroughly updated throughout to reflect latest research practices. Care has been taken to avoid tying the book to any specific statistical software, providing readers with a thorough grounding in the basics no matter which package they go on to use. This is a must read for professional psychologists as well as students and researchers of Psychology, Statistics and Research Methods. This book is also invaluable for anyone interested in conducting quantitative psychological research. 316 Tables, black and white; 15 Line drawings, color; 139 Line drawings, black and white; 15 Illustrations, color; 139 Illustrations, black and white
Objective To systematically review the conduct and reporting of formula trials. Design Systematic review. Data sources Medline, Embase, and Cochrane Central Register of Controlled Trials (CENTRAL) were searched from 1 January 2006 to 31 December 2020. Review methods Intervention trials comparing at least two formula products in children less than three years of age were included, but not trials of human breast milk or fortifiers of breast milk. Data were extracted in duplicate and primary outcome data were synthesised for meta-analysis with a random effects model weighted by the inverse variance method. Risk of bias was evaluated with Cochrane risk of bias version 2.0, and risk of undermining breastfeeding was evaluated according to published consensus guidance. Primary outcomes of the trials included in the systematic review were identified from clinical trial registries, protocols, or trial publications. Results 22 201 titles were screened and 307 trials were identified that were published between 2006 and 2020, of which 73 (24%) trials in 13 197 children were prospectively registered. Another 111 unpublished but registered trials in 17 411 children were identified. Detailed analysis was undertaken for 125 trials (23 757 children) published since 2015. Seventeen (14%) of these recently published trials were conducted independently of formula companies, 26 (21%) were prospectively registered with a clear aim and primary outcome, and authors or sponsors shared prospective protocols for 11 (9%) trials. Risk of bias was low in five (4%) and high in 100 (80%) recently published trials, mainly because of inappropriate exclusions from analysis and selective reporting. For 68 recently published superiority trials, a pooled standardised mean difference of 0.51 (range −0.43 to 3.29) was calculated with an asymmetrical funnel plot (Egger’s test P<0.001), which reduced to 0.19 after correction for asymmetry. Primary outcomes were reported by authors as favourable in 86 (69%) trials, and 115 (92%) abstract conclusions were favourable. One of 38 (3%) trials in partially breastfed infants reported adequate support for breastfeeding and 14 of 87 (16%) trials in non-breastfed infants confirmed the decision not to breastfeed was firmly established before enrolment in the trial. Conclusions The results show that formula trials lack independence or transparency, and published outcomes are biased by selective reporting. Systematic review registration PROSPERO 2018 CRD42018091928. All data collected for this study, including detailed responses to ROB2, breastfeeding, and conflict of interest signalling questions, are in the data supplement (web appendix 2). All other data are in the public domain or publication databases, except for trial protocols and statistical analysis plans received from authors and funders. We have not been given permission to share trial protocols and statistical analysis plans outside of our study team, but they can be requested directly from the trial authors and funders, as indicated in supplementary table 5.
