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001			96052
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008			170523s2017 sz ob 000 0 eng d
020			_a3319569643 _q(electronic bk.)
020			_a9783319569642 _q(electronic bk.)
020			_z3319569635
020			_z9783319569635
040			_aYDX _cYDX _dN$T _dEBLCP _dGW5XE _dN$T _dUAB _dESU _dAZU _dUPM _dOCLCF _dIOG _dCOO _dOCLCQ _dIDB _dU3W _dMERUC _dES-MaUEC _bspa
050		4	_aTA166 _b.D495 2017 EB
100	1		_aDe Winter, Joost C. F., _eautor
245	1	0	_aHuman subject research for engineers : _ba practical guide _cJoost C.F. de Winter, Dimitra Dodou.
264		1	_aCham _bSpringer _c2017.
300			_a1 recurso en línea
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF
490	0		_aSpringerBriefs in applied sciences and technology _x2191-530X
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
504			_aIncluye referencias bibliográficas
505	0		_aPreface; Who This Book Is For; Why This Book Is Important; Who This Book Is Not For; Scripts; References; Contents; 1 Scientific Method, Human Research Ethics, and Biosafety/Biosecurity; Abstract; 1.1 How Is Human Subject Research Different from Engineering?; 1.2 Hypothesis; 1.3 Is a Hypothesis Always Needed?; 1.4 Ethics; 1.4.1 Informed Consent; 1.4.2 Ethically Challenging Research Aspects; 1.4.3 Big Data Research; 1.4.4 Is Ethically Challenging Research Impossible?; 1.4.5 Isn't This Just Excessive Paperwork?; 1.5 Biosafety and Biosecurity; 1.5.1 Biosafety; 1.5.2 Biosecurity; References.
505	8		_a2 Experimental DesignAbstract; 2.1 Experiments and Quasi-experiments; 2.2 Between-Subjects Design; 2.2.1 Control Groups; 2.2.2 Participant Assignment to Groups; 2.3 Within-Subject Design; 2.4 Choosing Between-Subjects or Within-Subject Design: More Than just a Matter of Statistical Power; 2.5 Validity Threats in Experiments; 2.5.1 Demand Characteristics; 2.5.2 Experimenter Expectancy Effect; 2.6 Quasi-experiments; 2.7 Validity Threat in Quasi-experiments: Causation Versus Correlation; 2.8 Validity Threats in Experiments and Quasi-experiments; 2.8.1 Sample Representativeness; 2.8.2 Attrition.
505	8		_a2.9 Measurements and Measures2.9.1 Statistical Reliability; 2.9.2 Self-reported Measures (Questionnaires); 2.10 Finally, Some Tips Before Starting the Experiment; References; 3 Statistics; Abstract; 3.1 What This Chapter Does (Not) Cover; 3.2 Descriptive Statistics; 3.2.1 Central Tendency and Variability; 3.2.2 Effect Sizes; 3.2.2.1 Cohen's d; 3.2.2.2 Pearson Product-Moment Correlation Coefficient; 3.2.2.3 Point-Biserial Correlation; 3.2.2.4 Spearman Rank-Order Correlation; 3.2.2.5 Risk Ratios and Odds Ratios; 3.2.3 What is a Strong Effect?; 3.2.4 Why Tables Are Not Enough.
505	8		_a3.3 Inferential Statistics3.3.1 Sample Versus Population; 3.3.2 Hypothesis Testing; 3.3.3 Independent-Samples t Test; 3.3.4 Paired-Samples t Test; 3.3.5 One-Tailed Versus Two-Tailed Tests; 3.3.6 Alternatives to the t Test; 3.3.7 Multivariate Statistics; 3.4 Pitfalls of Null Hypothesis Significance Testing; 3.4.1 Most Published Research Findings Are False; 3.4.2 Bias; 3.4.3 Recommendations in Order to Maximize the Replicability of a Work; 3.5 Final Note; References; 4 Publishing; Abstract; 4.1 What Is Publishing and Why Is It Important?; 4.2 What Is a Research Paper?
505	8		_a4.2.1 Structure of a Research Paper4.2.1.1 Title; 4.2.1.2 Authorship; 4.2.1.3 Affiliations; 4.2.1.4 Abstract; 4.2.1.5 Main Text; 4.2.1.6 Acknowledgments, Disclosures, and Biographies; 4.2.1.7 References; 4.2.1.8 Supplementary Material; 4.2.1.9 Figures and Tables; 4.2.2 Writing Style; 4.2.3 Preventing Plagiarism; 4.2.4 Copyright; 4.2.5 Fraud; 4.3 Publication Bias; 4.4 The Process from Submission to Publishing; 4.5 Open Access Journals; 4.6 Scientometrics; 4.6.1 Impact Factor; 4.6.2 h-Index; 4.6.3 Altmetrics; References; MATLAB Scripts.
520	3		_aThis Brief introduces engineers to the main principles in ethics, research design, statistics, and publishing of human subject research. In recent years, engineering has become strongly connected to disciplines such as biology, medicine, and psychology. Often, engineers (and engineering students) are expected to perform human subject research. Typical human subject research topics conducted by engineers include human-computer interaction (e.g., evaluating the usability of software), exoskeletons, virtual reality, teleoperation, modelling of human behaviour and decision making (often within the framework of 'big data' research), product evaluation, biometrics, behavioural tracking (e.g., of work and travel patterns, or mobile phone use), transport and planning (e.g., an analysis of flows or safety issues), etc. Thus, it can be said that knowledge on how to do human subject research is indispensable for a substantial portion of engineers. Engineers are generally well trained in calculus and mechanics, but may lack the appropriate knowledge on how to do research with human participants. In order to do high-quality human subject research in an ethical manner, several guidelines have to be followed and pitfalls have to be avoided. This book discusses these guidelines and pitfalls. The aim is to prepare engineers and engineering students to carry out independent research in a responsible manner.
650		7	_aErgonomía _2embne _0(OCoLC)fst00963014 _0 _9142089
700	1		_aDodou, Dimitra, _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-56964-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017D
998			_b02/2018 _dz _e- _zSI
999			_c96052 _d96052 _x1