Reviews (3)

If you ask questions professionally, READ this book!
People tend to see asking questions as an intuitive, conversational means of communication.Wrong.As someone in the professional survey field (SuperSurvey.com), I see a lot of questions every day -- good and bad.Some questions are so poorly written that the responses actually reduce the quality of the survey results. A survey researcher from Missoula, Montana
This book has been an indispendible reference for professional surveyresearchers since it was written.Asking Questions provides questionnairewriters with extremely useful design guidance and checklists. Mostimportantly, the book is very easy to read and use. Sudman and Bradburn'sstatus as leading survey methodologists adds to the book's credability. A good book on survey question design
I was looking for a book on improving survey questions that provided information on reducing bias in survey wording and structure. This book was a great help to me and exceeded my expectations. The book addressespre-survey issues, specific question-type issues, and survey structure(ordering of questions) issues in a very organized format with plenty ofclear examples. The only down-side to the book is that it was written backin '82. I'm wondering if there is a more current version of an equivalentbook. I wasn't able to find one. ... Read more

Subjects:  1. Psychology    2. Questionnaires    3. Research    4. Social Sciences Research    5. Social sciences    6. Sociology    7. Psychology & Psychiatry / Statistics    8. Sociology, Social Studies   

Reviews (1)

Clear, easy to follow intro to LGCM theory and techniques
This is an excellent book for anyone who wishes to not only understand the theory behind latent growth curve modeling but also seeing how it is directly applied in a number of situations.For a reader like me whodepends upon the literature to help understand newer statisticalapproaches, a book like this is a breath of fresh air.The book presentsvery clearly how to set up a basic LGC model and includes other topics suchas dealing with missing data, interaction effects and multilevel approachesto longitudinal data analysis.The appendix contains a number of exampleLGCM models in the software language of EQS, LISREL and AMOS. I most highlyrecommend this text for beginners and more advanced modelers alike! ... Read more

Subjects:  1. Latent structure analysis    2. Latent variables    3. Mathematics    4. Probability & Statistics - Multivariate Analysis    5. Psychology    6. Statistics    7. Probability & statistics    8. Psychology & Psychiatry / Statistics   

Reviews (9)

Excellent Introduction for Social Scientists
Gill's book is ideal for psychologists and others who tend to recieve minimal statistical training but want to learn (1) why to pursue Bayesian methods when p-values seem to be doing okay, and (2) how to start with those methods.You need to know about various continuous and discrete probability distributions, and also what an expectation is (I'm serious, many psychologists don't), so if all you know are the mechanics of t-tests, ANOVAs and regression, you have to buff up your theory a bit before reading this book.
Not the book I would choose for a course
I do not usually like mathematical or statistical books "for Social Scientists". This is not a complete exception. It is very useful as an introduction to Bayesian statistics but examples and applications are neither interesting nor real problems of the discipline. Therefore, the "applicable" side of the book diminishes its value and makes it only a handbook for those with low background in mathematics.
winbugs, etc.
this book is really helpful if you're learning winbugs and mcmc for the first time, and handy even if you're not new.There are lots of examples, with code and explanation. ... Read more

Subjects:  1. Bayesian Statistics    2. Bayesian statistical decision    3. Bayesian statistical decision theory    4. Mathematics    5. Probability & Statistics - General    6. Science/Mathematics    7. Social sciences    8. Sociology    9. Statistical Methods In The Social Sciences    10. Statistical methods    11. Statistics    12. Mathematics / Statistics    13. Probability & statistics   

Subjects:  1. Computer programs    2. General    3. Mathematical Psychology    4. Methodology    5. Multidimensional scaling    6. Psychometrics    7. Social Science    8. Social sciences    9. Sociology    10. Sociology - General    11. Social Science / General    12. Social Science / Sociology / General    13. Social research & statistics   

Subjects:  1. Computer Books: General    2. Computers    3. Mathematical & Statistical Software    4. Psychology    5. Research & Methodology    6. Statistics    7. Psychology & Psychiatry / Statistics   

Reviews (1)

The days of significance testing are numbered...
First off, this book is written in plain English for those of us with less than stellar mathematical backgrounds.Also, the level at which it is written suggests it would make a great masters level stats course supplimental reading choice.The author walks us through the history of statistical testing and shows us where social scientists have gone wrong.Tests of statistical significance are often considered the most important indication of publication worthiness, or of experimental success whereas they really are not.For instance, what good is finding a significant difference between two groups (or in regression, finding an independant varaible significantly predicting a dependant varaible) if the effect size is so small as to be trivial?Kline discusses this in terms of "statistical significance vs. practical significance". This is one example of the very logical arguments he presents regarding aspects of behavioral statistics that most of us probably take for granted.
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Subjects:  1. Psychology    2. Psychometrics    3. Reference    4. Research & Methodology    5. Statistics    6. Textbooks   

Subjects:  1. Assessment, Testing & Measurement    2. Methodology    3. Psychological Research    4. Psychology    5. Psychometrics    6. Research    7. Research & Methodology    8. Statistics    9. Textbooks    10. Psychology & Psychiatry / General   

Reviews (1)

easy graphical input
Byrne offers a more readable alternative to the hard core approach of learning EQS from its official manual. The latter presents a heavily mathematical framework that might be offputting to some readers who lack a strong statistical background.
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Subjects:  1. Data processing    2. Mathematics    3. Probability & Statistics - Multivariate Analysis    4. Psychology    5. Research    6. Social sciences    7. Statistical methods    8. Statistics    9. Structural equation modeling    10. Probability & statistics    11. Psychology & Psychiatry / Statistics   

Reviews (1)

O'Hagan's Jewel
I found this book to be my constant reference.Read more

Subjects:  1. Bayesian Statistics    2. Mathematical statistics    3. Mathematics    4. Probability & Statistics - General    5. Science/Mathematics    6. Statistics    7. Mathematics / Statistics    8. Mathematics | Probability & Statistics    9. Probability & statistics   

Reviews (2)

6 Stars
If I could, I would give this book an even higher rating! There is no doubt that this is THE BOOK for interaction effects in multiple regession. The authors do a fantastic job with the topic and make sense!

Excellent overview of interactions in regression
This is a very nice updated version of the original edition. The book is short at 89 pages, information packed, and solidly grounded. The book is meant for people who *use* interaction effects in thier research. (It is not meant for people who study regression methods.)
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Subjects:  1. General    2. Probability & Statistics - Regression Analysis    3. Regression analysis    4. Social Science    5. Social sciences    6. Sociology    7. Statistical methods    8. Statistics    9. Social Science / Research    10. Social research & statistics   

Reviews (2)

An excellent source of reference on Psychophsysics.
A great book that is widely referenced, it provides a solid introduction to classical psychophysics and discusses, indepth, the newer Theory of Signal Detection (TSD). The only complete and modern introduction to psychophysics
Gescheider has in the third edition of his book "Psychophysics: The Fundamentals" accomplished an introduction to psychophysics that is both complete and modern. This book has been a natural choice for myteaching in introductory psychophysics and perception both at pre- andpostgraduate levels. ... Read more

Subjects:  1. Cognitive Psychology    2. Experimental Psychology    3. Methodology    4. Physiological Psychology    5. Psychology    6. Psychophysics    7. Psychophysiology    8. Senses and sensation    9. Statistics    10. Testing    11. Neurosciences    12. Physiological & neuro-psychology    13. Psychology & Psychiatry / Cognitive Psychology   

Subjects:  1. Methodology    2. Psychology    3. Qualitative Techniques In The Social Sciences    4. Research    5. Research & Methodology    6. Social Science    7. Social sciences    8. Sociology    9. Sociology - General    10. Medical-Research    11. Psychology & Psychiatry / Research    12. Psychology & Psychiatry / Statistics    13. Social Science-Sociology - General    14. Social research & statistics   

Reviews (2)

Great Statistics Resource
This book and its companion volume are invaluable resources if you need to understand or work with multivariate statistics. It is easy to read and I would recommend it over any of the required texts that I have had for statistics courses.

I read more - and I understood more!
Like its predecessor, "Reading and Understanding MORE Multivariate Statistics" achieves exactly what its title implies. Geared toward non-statisticians in behavioral and social science fields, this book provides clear and reasonably simple explanations of common multivariate analyses. This book includes special attention to scales of measurement, reliability and generalizability theory, item response theory, and assessing the validity of measurement.In addition, it covers cluster analysis, Q-technique factor analysis, structural equation modeling, canonical correlation analysis, repeated measures analysis, and survival analysis.The authors present the conceptual underpinnings, underlying assumptions, and basic procedures for each analysis with a minimum of equations and many concrete examples. The book not teach you how to perform the analyses but does provide references for those who wish to get more detailed information. As a research scientist who doesn't always remember everything I learned in graduate statistics class, I find this book an invaluable aid keeping up with the current literature in my field and in making the most of statistical consultations. This book is ideal for anyone whose job requires them to be a "consumer" of research; for researchers who wish to further their understanding of data analysis; and as a companion text for graduate statistics classes. ... Read more

Subjects:  1. Mental Health    2. Multivariate analysis    3. Probability & Statistics - Multivariate Analysis    4. Psychological Research    5. Psychology    6. Psychometrics    7. Statistical Methods In The Social Sciences    8. Statistics    9. Probability & statistics    10. Social research & statistics   

Subjects:  1. Experimental design    2. Psychology    3. Reference    4. Research    5. Research & Methodology    6. Statistics    7. Psychology & Psychiatry / Research    8. Research methods: general    9. Social research & statistics   

Reviews (10)

excellent starter for non-mathematicians
this is a fabulous book for non-mathematicians - if you are workingworking on a PhD in physics or mathematics then you will not need it but if you are business school major who want to try out little un-authenticated statistics then try this book - I am serious this is a easy to read book - it does not go into details but skims the tops extremely well and we know that the cream is in the top (lol)

Well-explained statistical concepts.
In this small book the author managed to explain statistical concepts in the way that no other book that I looked at could do on hundreds of pages. You will definitely learn a great deal of statistics. The author does not overwhelm, is consistent with his presentation, and EXPLAINS. That final touch, simple explanation (in the language anyone can understand) is what's missing from all other books.
An Excellent Supplemental Text for Statistical Analysis at Any Level
For those of us with mathmatical weakness, an understandable work on basic statistical methods is a godsend.Having found myself in a graduate level econometrics course, Statistics For the Terrified is rarely out of reach.All too often statstics manuals, texts and instructors speak in tounges not always understood by the uninformed.However, Stats for the Terrified allows the reader to look up concepts and terminolgy and actually understand the explanations.The authors use few formulas to explain concepts, and when mathmatical equations are a necessity, the methods are explained in such a way that the Greek symbols and letters make sense. Indeed, regardless of field, Statistics for the Terrified is helpful in any work which requires statistical anaylysis. ... Read more

Subjects:  1. Mathematical Statistics    2. Probability & Statistics - General    3. Psychology    4. Science/Mathematics    5. Social Science    6. Statistical Methods In The Social Sciences    7. Statistics    8. Probability & statistics    9. Social research & statistics   

Reviews (2)

Excellent overview of basic research methods
I have used various editions of this text in my classes for many years.It provides an excellent overview of the basic research methodologies.The text is clear and understandable for individuals who have no research background.

Very basic introduction
This book is a very basic guide for someone who has never taken a psychology class before, giving information on library searches and how to use the internet.The two chapters on statistics were informative, though drawn out.It's a very dry read. ... Read more

Subjects:  1. Data processing    2. Methodology    3. Psychology    4. Research    5. Research & Methodology    6. Social Science    7. Social sciences    8. Sociology    9. Statistics    10. Behavioural theory (Behaviourism)    11. Psychology & Psychiatry / Research    12. Psychology | Experimental    13. Social research & statistics   

Subjects:  1. Correlation (Statistics)    2. Psychology    3. Regression analysis    4. Research    5. Social Science    6. Sociology    7. Statistics    8. Psychological methodology    9. Social Science / Research    10. Social theory   

Subjects:  1. Mathematics    2. Probability & Statistics - Multivariate Analysis    3. Psychology    4. Statistics    5. Probability & statistics    6. Psychology & Psychiatry / Statistics   

Reviews (3)

Maybe for the APA style...
I was deeply disappointed with the book. The tables look as done with a typewriter, good for those missing that 70's thesis. Apparently nobody told the authors that p-values are no longer to be reported as p<0.05, but with their full value. And finally, there is no "clever" solution to more complex tables, but just tons of tables with pretty standard results. What is reported in the tables is not widely applicable too. In my area - epidemiology - we do not report standard errors, we report confidence intervals. We also do not report mean squares, f-values, or t-values, or chi-squared-values and so on - we report only the full p-values. If you're not into APA, look elsewhere.

No more puzzling over tables!
This is an invaluable resource for anyone who needs to present their research results in APA style.This is not a statistics text but rather a manual for generating tables.Each chapter focuses on a different statistic and includes a "play it safe" comprehensive table as well as several variations.Well-organized, practical, and concise.

A Must for Students and Professionals Using APA Style
This book has been needed for twenty years. Students and professional researchers who write dissertations and manuscripts using APA style have desperately needed this very helpful resource. The book illustrates standard presentation tables for more than twenty types of standardstatistical tests. The concept of "Play It Safe" tables will saveresearchers hundreds of hours of time. The table illustrations are clearand precise depending on the focus of the data to be presented. The fewwords that are written prior to presenting a table are helpful inclarifying the data contained in the tables. One small problem is noted. It would have been helpful to include how APA style recommends reportingstatistical data in paragraph form in this book also. Despite this omission, I still give this book 5 stars. ... Read more

Subjects:  1. Charts, diagrams, etc    2. Psychology    3. Research    4. Research & Methodology    5. Social Science    6. Sociology    7. Statistical Methods In The Social Sciences    8. Statistics    9. Epidemiology & medical statistics    10. Language for technical & scientific purposes    11. Probability & statistics    12. Psychological methodology    13. Social research & statistics   

Subjects:  1. Psychological Testing    2. Psychology    3. Repertory grid technique    4. Research & Methodology    5. Statistics    6. Psychology & Psychiatry / Statistics