Statistics for Psychology II PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Statistics for Psychology II PDF full book. Access full book title Statistics for Psychology II by PressGrup Academician Team. Download full books in PDF and EPUB format.
Author: PressGrup Academician Team
Publisher: Prof. Dr. Bilal Semih Bozdemir
ISBN:
Category : Psychology
Languages : en
Pages : 480
Get Book Here
Book Description
Interpreting and Reporting Statistical Results In the realm of psychological research, the ability to interpret and report statistical results accurately is paramount. This chapter delves into the essential guidelines and practices that researchers must follow to communicate findings effectively and responsibly. As psychologists often work with complex data sets, the interpretation of statistical results demands clarity, precision, and rigor. Understanding Statistical Output The first step in interpreting statistical results is to comprehend the output generated by statistical software. This output typically includes a range of statistics such as p-values, confidence intervals, regression coefficients, and others, depending on the analysis conducted. Each of these elements conveys critical information, which must be accurately interpreted to draw meaningful conclusions. For example, in hypothesis testing, the p-value indicates the probability of obtaining results as extreme as observed, assuming the null hypothesis is true. A p-value less than the predefined alpha level (commonly set at 0.05) leads to the rejection of the null hypothesis. Researchers must not only report the p-value but also contextualize it within the broader framework of the study, including the sample size and effect size.
Author: PressGrup Academician Team
Publisher: Prof. Dr. Bilal Semih Bozdemir
ISBN:
Category : Psychology
Languages : en
Pages : 480
Get Book Here
Book Description
Interpreting and Reporting Statistical Results In the realm of psychological research, the ability to interpret and report statistical results accurately is paramount. This chapter delves into the essential guidelines and practices that researchers must follow to communicate findings effectively and responsibly. As psychologists often work with complex data sets, the interpretation of statistical results demands clarity, precision, and rigor. Understanding Statistical Output The first step in interpreting statistical results is to comprehend the output generated by statistical software. This output typically includes a range of statistics such as p-values, confidence intervals, regression coefficients, and others, depending on the analysis conducted. Each of these elements conveys critical information, which must be accurately interpreted to draw meaningful conclusions. For example, in hypothesis testing, the p-value indicates the probability of obtaining results as extreme as observed, assuming the null hypothesis is true. A p-value less than the predefined alpha level (commonly set at 0.05) leads to the rejection of the null hypothesis. Researchers must not only report the p-value but also contextualize it within the broader framework of the study, including the sample size and effect size.
Author: Daniel Navarro
Publisher: Lulu.com
ISBN: 1326189727
Category : Computers
Languages : en
Pages : 617
Get Book Here
Book Description
"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: Michael Cowles
Publisher: Psychology Press
ISBN: 1135660891
Category : Psychology
Languages : en
Pages : 277
Get Book Here
Book Description
This book presents an historical overview of the field--from its development to the present--at an accessible mathematical level. This edition features two new chapters--one on factor analysis and the other on the rise of ANOVA usage in psychological research. Written for psychology, as well as other social science students, this book introduces the major personalities and their roles in the development of the field. It provides insight into the disciplines of statistics and experimental design through the examination of the character of its founders and the nature of their views, which were sometimes personal and ideological, rather than objective and scientific. It motivates further study by illustrating the human component of this field, adding dimension to an area that is typically very technical. Intended for advanced undergraduate and/or graduate students in psychology and other social sciences, this book will also be of interest to instructors and/or researchers interested in the origins of this omnipresent discipline.
Author: Arthur Aron
Publisher: Pearson Education
ISBN: 9780205258154
Category : Psychology
Languages : en
Pages : 0
Get Book Here
Book Description
Emphasizing meaning and concepts, not just symbols and numbers, 'Statistics for Psychology', 6th edition places definitional formulas center stage to emphasize the logic behind statistics and discourage rote memorization. Each procedure is explained in a direct, concise language and both verbally and numerically. Learning goals upon completing this book, readers should be able to know both definitional and numerical formulas and how to apply them. Understand the logic behind each formula. Expose students to the latest thinking in statistical theory and application. Prepare students to read research articles and learn how to use SPSS.
Author: Bernard C. Beins
Publisher: Cambridge University Press
ISBN: 1108423116
Category : Mathematics
Languages : en
Pages : 537
Get Book Here
Book Description
This seamless introduction to statistics and research methods identifies various research areas and analyzes how one approaches them statistically.
Author: Donncha Hanna
Publisher: John Wiley & Sons
ISBN: 1119952875
Category : Psychology
Languages : en
Pages : 471
Get Book Here
Book Description
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: Dieter Rasch
Publisher: John Wiley & Sons
ISBN: 047097124X
Category : Psychology
Languages : en
Pages : 565
Get Book Here
Book Description
Statistics in Psychology covers all statistical methods needed in education and research in psychology. This book looks at research questions when planning data sampling, that is to design the intended study and to calculate the sample sizes in advance. In other words, no analysis applies if the minimum size is not determined in order to fulfil certain precision requirements. The book looks at the process of empirical research into the following seven stages: Formulation of the problem Stipulation of the precision requirements Selecting the statistical model for the planning and analysis The (optimal) design of the experiment or survey Performing the experiment or the survey Statistical analysis of the observed results Interpretation of the results.
Author: Helen Gavin
Publisher: SAGE
ISBN: 144620460X
Category : Psychology
Languages : en
Pages : 425
Get Book Here
Book Description
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: S Alexander Haslam
Publisher: SAGE
ISBN: 1446297586
Category : Psychology
Languages : en
Pages : 712
Get Book Here
Book Description
The second edition of Haslam and McGarty′s best-selling textbook, Research Methods and Statistics in Psychology, provides students with a highly readable and comprehensive introduction to conducting research in psychology. The book guides readers through the range of choices involved in design, analysis, and presentation and is supplemented by a range of practical learning features both inside the book and online. These draw on the authors′ extensive experience as frontline researchers, and provide step-by-step guides to quantitative and qualitative methods and analyses. Written in an accessible and engaging style, this text encourages deep engagement with its subject matter and is designed to inspire students to feel passionate for the research process as a whole. This second edition offers: A comprehensive guide to the process of conducting psychological research from the ground up — covering multiple methodologies, experimental and survey design, data analysis, ethics, and report writing An extensive range of quantitative methods together with detailed step-by-step guides to running analyses using SPSS Extended coverage of qualitative methods ‘Research Bites’ in every chapter: thought-provoking examples of issues raised by contemporary society and research An extensive range of additional learning aids in the textbook to help reinforce learning and revision A host of on-line resources for instructors and students available on publication at www.sagepub.co.uk/haslamandmcgarty2e. Electronic inspection copies are available for instructors.
Author: R. A. McQueen
Publisher:
ISBN: 9780273735069
Category : Psychology
Languages : en
Pages : 0
Get Book Here
Book Description
This second edition has been substantially revised and expanded to form a truly comprehensive, practical guide to research methods and statistical analysis. The text retains the successful student-centred approach, assuming no background knowledge. Logically and intuitively organised, the book introduces key terms and concepts, progressing through the process of selecting a study and analysing results right through to the final point of preparing a report. This edition has been extensively revised to offer more detailed coverage - including more depth on topics such as power, meta-analysis, ethics, the literature review, questionnaire design, small sample research, and graphing techniques. Coverage of qualitative methods has been expanded to include more on software tools and IPA. The book offers a range of support focused on essential concepts, practicalities, and a new feature to highlight important research from the scientific literature. The examples have been increased and updated to help clarify concepts and further support the reader in developing both a conceptual and practical understanding of research and analysis. The book relates to the most recent version of PASW statistics (previously SPSS).
