Making Sense Of Statistics In Psychology
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Author | : Fred Pyrczak |
Publisher | : Taylor & Francis |
Total Pages | : 185 |
Release | : 2016-10-04 |
Genre | : Psychology |
ISBN | : 1351969870 |
• An overview of descriptive and inferential statistics without formulas and computations. • Clear and to-the-point narrative makes this short book perfect for all courses in which statistics are discussed. • Helps statistics students who are struggling with the concepts. Shows them the meanings of the statistics they are computing. • This book is easy to digest because it is divided into short sections with review questions at the end of each section. • Running sidebars draw students’ attention to important concepts.
Author | : Gerry Mulhern |
Publisher | : Bloomsbury Publishing |
Total Pages | : 320 |
Release | : 2017-09-09 |
Genre | : Psychology |
ISBN | : 0230357997 |
Statistics is one of the most useful elements of any psychology degree. This popular textbook will equip you with the tools needed not only to make sense of your own data and research, but also to think critically about the research and statistics you will encounter in everyday life. Features include: - Logical, intuitive organization of key statistical concepts and tests with an emphasis on understanding which test to use and why - Innovative graphic illustrations and insightful dialogues that help you to get to grips with statistics - Concise, easy-to-follow guidelines for making sense of SPSS - COverage of more complex tests and concepts for when you need to dig deeper Making Sense of Data and Statistics in Psychology will help you design experiments, analyse data with confidence and establish a solid grounding in statistics; it will become a valuable resource throughout your studies. Companion Site: www.palgrave.com/psychology/mulhern2e An innovative and easy-to-read introduction to understanding statistical concepts and data in Psychology, written with even the most maths-averse Psychology student in mind. Authored by the current president of the BPS (British Psychological Society), this second edition includes guidance for SPSS and extended statistical coverage to bridge the gap between conceptual understanding of data and how to run statistical tests. Confronts the challenge of teaching statistics The material is structured so that the reader revisits ideas at increasing levels of sophistication, building on their existing knowledge in order to develop their understanding of statistics. This book, grounded in the authors' research into the way students learn maths and statistics, provides a 'way in' to statistics for all Psychology undergraduates, from those who have studied Maths to A Level to those who find their statistics courses to be the most daunting of their university years. The authors emphasise the importance of developing a 'feel' for data, particularly through visual representation, before statistical tests are discussed in detail. Making extensive use of exploratory data analysis, the text emphasises conceptual understanding. Concepts are introduced and clearly explained, enabling the student to understand the foundations of data analysis in interpreting psychological research. There is an abundant use of examples from psychological research throughout, helping students to get to grips with different forms of data. Flexible approach Can easily be integrated into 'standard courses', but also used to support more mathematicallyorientated courses. Reinforces understanding Avoids the jargon that makes statistics so inaccessible to many Psychology students. Pedagogical features include Socratic dialogues between statisticsaverse students and their lecturers; 'Making Links' boxes to help students see the connections between basic and more complex tests; and innovative comprehension check boxes which encourage students to stop and think before reading on. A new feature, 'Making sense of SPSS', links this conceptual comprehension to the way students mostly carry out their statistical tests. Making Sense of Data and Statistics in Psychology ensures that students have a firm basis in the use of statistics that will serve them for life, not just for the duration of their statistics course.
Author | : John Spicer |
Publisher | : SAGE |
Total Pages | : 256 |
Release | : 2005 |
Genre | : Mathematics |
ISBN | : 9781412904018 |
A short introduction to the subject, this text is aimed at students & practitioners in the behavioural & social sciences. It offers a conceptual overview of the foundations of MDA & of a range of specific techniques including multiple regression, logistic regression & log-linear analysis.
Author | : Andrew N. Christopher |
Publisher | : SAGE Publications |
Total Pages | : 585 |
Release | : 2016-08-30 |
Genre | : Psychology |
ISBN | : 150630415X |
This practical, conceptual introduction to statistical analysis by award-winning teacher Andrew N. Christopher uses published research with inherently interesting social sciences content to help students make clear connections between statistics and real life. Using a friendly, easy-to-understand presentation, Christopher walks students through the hand calculations of key statistical tools and provides step-by-step instructions on how to run the appropriate analyses for each type of statistic in SPSS and how to interpret the output. With the premise that a conceptual grasp of statistical techniques is critical for students to truly understand why they are doing what they are doing, the author avoids overly formulaic jargon and instead focuses on when and how to use statistical techniques appropriately.
Author | : Donncha Hanna |
Publisher | : John Wiley & Sons |
Total Pages | : 471 |
Release | : 2013-01-29 |
Genre | : Psychology |
ISBN | : 1119952875 |
The introduction to statistics that psychology students can't afford to be without Understanding statistics is a requirement for obtaining and making the most of a degree in psychology, a fact of life that often takes first year psychology students by surprise. Filled with jargon-free explanations and real-life examples, Psychology Statistics For Dummies makes the often-confusing world of statistics a lot less baffling, and provides you with the step-by-step instructions necessary for carrying out data analysis. Psychology Statistics For Dummies: Serves as an easily accessible supplement to doorstop-sized psychology textbooks Provides psychology students with psychology-specific statistics instruction Includes clear explanations and instruction on performing statistical analysis Teaches students how to analyze their data with SPSS, the most widely used statistical packages among students
Author | : Samuel Barondes |
Publisher | : FT Press |
Total Pages | : 242 |
Release | : 2011-06-21 |
Genre | : Business & Economics |
ISBN | : 0132172879 |
Every day, we evaluate the people around us: It's one of the most important things we ever do. Making Sense of People provides the scientific frameworks and tools we need to improve our intuition, and assess people more consciously, systematically, and effectively. Leading neuroscientist Samuel H. Barondes explains the research behind each standard personality category: extraversion, agreeableness, conscientiousness, neuroticism, and openness. He shows readers how to use these traits and assessments to do a better job of deciding who they'll enjoy spending time with, whom to trust, and whom to keep at a distance. Barondes explains: What neuroscience and psychological research can tell us about how personality types develop and cohere. The intertwined roles of genes, nurture, and education in personality development. How to recognize troublesome personality patterns such as narcissism, sociopathy, and paranoia. How much a child's behavior predicts their adult personality, and how personality stabilizes in young adulthood. How to assess integrity, fairness, wisdom, and other traits related to morality. What genetic testing may (or may not) teach us about personality in the future. General strategies for getting along with people, with specific tactics for special circumstances. Kirkus Reviews A succinct look at personality psychology. As a psychiatrist and neuroscientist at the University of California, Barondes (Molecules and Mental Illness, 2007, etc.) has spent years studying human behavior, and this book reflects his systematic, scientific approach for personality assessment. The average person isn't likely to have time to research a difficult boss or potential love interest, but the author supplements intuition with a useful cornerstone for gauging human behavior: a table of the "Big Five" personality traits, among them Extraversion vs. Introversion and Agreeableness vs. Antagonism. To learn how to apply the Big Five, Barondes supplies a link for a professional online personality test, in addition to a basic introduction of troubling personality patterns–e.g., narcissism and compulsiveness. While genetics may play a heavy hand in influencing personality, Barondes writes, it's awareness of a person's background, character and life story that is paramount in unearthing reasons for adult behavior. Readers might like to see the author weave more everyday examples into the text–his exercise in fostering compassion by imagining an adult as a 10-year-old child is a gem–but there is plenty here to ponder. Those looking for traditional "self-help" advice won't find it here, but this book clearly lays the groundwork for deeper human interaction and better life relationships.
Author | : Daniel Navarro |
Publisher | : Lulu.com |
Total Pages | : 617 |
Release | : 2013-01-13 |
Genre | : Computers |
ISBN | : 1326189727 |
"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
Author | : Helen Gavin |
Publisher | : SAGE |
Total Pages | : 425 |
Release | : 2008-02-18 |
Genre | : Psychology |
ISBN | : 144620460X |
Understanding and applying research methods and statistics in psychology is one of the corner stones of study at undergraduate level. To enable all undergraduate psychology students to carry out their own investigations the textbook covers basic and advanced qualitative and quantitative methods and follows a sequential structure starting from first principles to more advanced techniques. Accompanied by a companion website, the textbook: - Grounds all techniques to psychological theory relating each topic under discussion to well established pieces of research - Can be used by the student at beginning and more advanced undergraduate level - therefore a `one-stop′ shop - Includes a creative and practical selection of heuristic devices that cement knowledge of the techniques and skills covered in the textbook
Author | : Mark Forshaw |
Publisher | : Wiley-Blackwell |
Total Pages | : 150 |
Release | : 2007-11-28 |
Genre | : Psychology |
ISBN | : |
Containing analogies that help the first-time students of psychological statistics to understand the thoughts behind the formulae, this text focuses on the ideas and practicalities of statistics in psychology.
Author | : Deborah G. Mayo |
Publisher | : Cambridge University Press |
Total Pages | : 503 |
Release | : 2018-09-20 |
Genre | : Mathematics |
ISBN | : 1108563309 |
Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.