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Forskningsmetoder i folkesundhedsvidenskab. kap.11 - Spørgeskemaundersøgelser, s. 272-302 by 
How to Read a Paper. Chapter 13: Papers that report questionnaire research by 
Questionnaire Design, Interviewing, and Attitude Measurement by Self-Report Measure, by Self-Report Measure, In: Lewis-Beck, M. S., Bryman, A., & Futing Liao, T. (2004). The SAGE encyclopedia of social science research methods Thousand Oaks, CA: Sage Publications, Inc. doi: 10.4135/9781412950589Self-report and other report by Self-report and other report. (1988). In Grady, K. E., & Wallston, B. S. Applied Social Research Methods: Research in health care settings (pp. 101-116). Newbury Park, CA: SAGE Publications, Inc. doi: 10.4135/9781412985697
Spørgeskemaer i virkeligheden
Metodene våre : eksempler fra samfunnsvitenskapelig forskninSøk på Questionnaire i SageMethods for flere titler - Se også SageMethod; Cross-sectional surveys
Boynton, P. M. & Greenhalgh, T. (2004). Selecting, designing, and developing your questionnaire. BMJ, 328(7451), 1312-1315. https://doi.org/10.1136/bmj.328.7451.1312 - se Data supplement i artikkelen
Further illustrative examples
Table A Examples of research questions for which a questionnaire may not be the most appropriate design
Table B Pros and cons of open and closed-ended questions
Table C Checklist for developing a questionnaire
Table D Types of sampling techniques for questionnaire research
Table E Critical appraisal checklist for a questionnaire study
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".. fundamental concepts of descriptive and inferential statistics and shows you how to apply them using Microsoft Excel"
Topics include:
Understanding data types and variables
Calculating probability
Understanding mean, median, and mode
Calculating variability
Organizing and graphing distributions
Sampling distributions
Making estimations
Testing hypothesis: mean testing, z- and t-testing, and more
Analyzing variance
Performing repeated measure testing
Understanding correlation and regression
how to use statistics concepts and tools to perform analysis in Microsoft Excel.
Topics include:
Using Excel's statistical functions and 3D charts
Visualizing sampling distributions
Performing comparisons with ANOVA
Performing two-way analysis with ANOVA
Analyzing linear regression
Performing multiple regression and nonlinear regression analysis
Forecasting
Making advanced correlations
Testing variable frequencies
Running simulations
Innføring i statistikk og dataanalyse for studenter i idretts- og helsefag
SPSS program for kvantitativ analyse
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Introduction to SPSS Statistics in Psychology Using this book, students should quickly master statistical analysis with SPSS. Screenshots of all the steps for each statistical technique build students' confidence when performing their own analysis.
Introductory Statistics for Health and Nursing Using SPSS
Quantitative Analysis and IBM® SPSS® Statistics This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods. IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S. Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the packa≥ therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum.
Regresjonsanalyse for samfunnsvitere : med eksempler i SPSS
SPSS Explained SPSS Explained provides the student with all that they need to undertake statistical analysis using SPSS. It combines a step-by-step approach to each procedure with easy to follow screenshots at each stage of the process. A number of other helpful features are provided: regular advice boxes with tips specific to each test explanations divided into #65533;essential#65533; and #65533;advanced#65533; sections to suit readers at different levels frequently asked questions at the end of each chapter. The first edition of this popular book has been fully updated for IBM SPSS version 21 and also includes: chapters that explain bootstrapping and how this is used an introduction to binary logistic regression coverage of new features such as Chart Builder. Presented in full colour and with a fresh, reader-friendly layout, this fully updated new edition also comes with a companion website featuring an array of supplementary resources for students. The authors have many years of experience in teaching SPSS to students from a wide range of disciplines. Their understanding of SPSS users#65533; concerns, as well as a knowledge of the type of questions students ask, form the foundation of this book. Minimal prior knowledge is assumed, so the book is well designed for the novice user, but it will also be a useful reference source for those developing their own expertise in SPSS. It is suitable for all students who need to do statistical analysis using SPSS in various departments including Psychology, Social Science, Business Studies, Nursing, Education, Health and Sport Science, Communication and Media, Geography, and Biology.
SPSS for Starters and 2nd Levelers A unique point of this book is its low threshold, textually simple and at the same time full of self-assessment opportunities. Other unique points are the succinctness of the chapters with 3 to 6 pages, the presence of entire-commands-texts of the statistical methodologies reviewed and the fact that dull scientific texts imposing an unnecessary burden on busy and jaded professionals have been left out. For readers requesting more background, theoretical and mathematical information a note section with references is in each chapter. The first edition in 2010 was the first publication of a complete overview of SPSS methodologies for medical and health statistics. Well over 100,000 copies of various chapters were sold within the first year of publication. Reasons for a rewrite were four. First, many important comments from readers urged for a rewrite. Second, SPSS has produced many updates and upgrades, with relevant novel and improved methodologies. Third, the authors felt that the chapter texts needed some improvements for better readability: chapters have now been classified according the outcome data helpful for choosing your analysis rapidly, a schematic overview of data, and explanatory graphs have been added. Fourth, current data are increasingly complex and many important methods for analysis were missing in the first edition. For that latter purpose some more advanced methods seemed unavoidable, like hierarchical loglinear methods, gamma and Tweedie regressions and random intercept analyses. In order for the contents of the book to remain covered by the title, the authors renamed the book: SPSS for Starters and 2nd Levelers. Special care was, nonetheless, taken to keep things as simple as possible, simple menu commands are given. The arithmetic is still of a no-more-than high-school level. Step-by-step analyses of different statistical methodologies are given with the help of 60 SPSS data files available through the internet. Because of the lack of time of this busy group of people, the authors have given every effort to produce a text as succinct as possible. Statistikk og SPSS for enkle undersøkelser
Understanding Educational Statistics Using Microsoft Excel and SPSS Utilizing the latest software, this book presents the essential statistical procedures for drawing valuable results from data in the social sciences. Mobilizing interesting real-world examples from the field of education, Understanding Educational Statistics Using Microsoft Excel and SPSS supplies a seamless presentation that identifies valuable connections between statistical applications and research design. Class-tested to ensure an accessible presentation, the book combines clear, step-by-step explanations and the use of software packages that are accessible to both the novice and professional alike to present the fundamental statistical practices for organizing, understanding, and drawing conclusions from educational research data. The book begines with an introduction to descriptive and inferential statistics and then proceeds to acquaint readers with the various functions for working with quantitative data in the Microsoft Excel environment, such as spreadsheet navigation; sorting and filtering; and creating pivot tables. Subsequent chapters treat the procedures that are commonly-employed when working with data across various fields of social science research, including: Single-sample tests Repeated measure tests Independent t-tests One way ANOVA and factorial ANOVA Correlation Bivariate regression Chi square Multiple regression Individual chapters are devoted to specific procedures, each ending with a lab exercise that highlights the importance of that procedure by posing a research question, examining the question through its application in Excel and SPSS, and concluding with a brief research report that outlines key findings drawn from the results. Real-world examples and data from modern educational research are used throughout the book, and a related Web site features additional data sets, examples, and labs, allowing readers to reinforce their comprehension of the material. Bridging traditional statistical topics with the latest software and applications in the field of education, Understanding Educational Statistics Using Microsoft Excel and SPSS is an excellent book for courses on educational research methods and introductory statistics in the social sciences at the upper-undergraduate and graduate levels. It also serves as a valuable resource for researchers and practitioners in the fields of education, psychology, and the social sciences who require a statistical background to work with data in their everyday work.Se mer på våre EndNote fagside
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Further illustrative examples
Table A Examples of research questions for which a questionnaire may not be the most appropriate design
Table B Pros and cons of open and closed-ended questions
Table C Checklist for developing a questionnaire
Table D Types of sampling techniques for questionnaire research
Table E Critical appraisal checklist for a questionnaire study
Les mer om kritisk vurdering: Kritisk vurdering - nettkurs Kunnskapsbasert praksis/Helsebiblioteket.
How to Read a Paper
Required reading in many medical and healthcare institutions, How to Read a Paper is a clear and wide-ranging introduction to evidence-based medicine and healthcare, helping readers to understand its central principles, critically evaluate published data, and implement the results in practical settings. Author Trisha Greenhalgh guides readers through each fundamental step of inquiry, from searching the literature to assessing methodological quality and appraising statistics. How to Read a Paper addresses the common criticisms of evidence-based healthcare, dispelling many of its myths and misconceptions, while providing a pragmatic framework for testing the validity of healthcare literature. Now in its sixth edition, this informative text includes new and expanded discussions of study bias, political interference in published reports, medical statistics, big data and more. Offers user-friendly guidance on evidence-based healthcare that is applicable to both experienced and novice readers Authored by an internationally recognised practitioner and researcher in evidence-based healthcare and primary care Includes updated references, additional figures, improved checklists and more How to Read a Paper is an ideal resource for healthcare students, practitioners and anyone seeking an accessible introduction to evidence-based healthcare.
by Required reading in many medical and healthcare institutions, How to Read a Paper is a clear and wide-ranging introduction to evidence-based medicine and healthcare, helping readers to understand its central principles, critically evaluate published data, and implement the results in practical settings. Author Trisha Greenhalgh guides readers through each fundamental step of inquiry, from searching the literature to assessing methodological quality and appraising statistics. How to Read a Paper addresses the common criticisms of evidence-based healthcare, dispelling many of its myths and misconceptions, while providing a pragmatic framework for testing the validity of healthcare literature. Now in its sixth edition, this informative text includes new and expanded discussions of study bias, political interference in published reports, medical statistics, big data and more. Offers user-friendly guidance on evidence-based healthcare that is applicable to both experienced and novice readers Authored by an internationally recognised practitioner and researcher in evidence-based healthcare and primary care Includes updated references, additional figures, improved checklists and more How to Read a Paper is an ideal resource for healthcare students, practitioners and anyone seeking an accessible introduction to evidence-based healthcare.
Kunnskapshåndtering i medisin og helsefag
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