Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Contents PART ONE: DESIGNING AN EXPERIMENT >Before You Begin > Planning an Experiment > Experimental Designs PART TWO: ANALYZING AND INTERPRETING DATA > Descriptive Statistics > Inferential Statistics > Parametric Tests > Non-Parametric Tests > Choosing a Statistical Test PART THREE: WRITING UP YOUR RESEARCH > A Quick Guide to Writing a Psychology Lab-Report > General Points When Writing a Report > Answering the Question 'Why?' The Introduction Section > Answering the Question 'How?' The Method Section > Answering the Question 'What Did I Find?' The Results Section > Answering the Question 'So What?' The Discussion Section > Title, Abstract, Reference and Formatting > Example of an Experimental Write-up How to Design and Report Experiments is the perfect textbook and guide to the often bewildering world of experimental design and statistics. It provides a complete map of the entire process beginning with how to get ideas about research, how to refine your research question and the actual design of the experiment, leading on to statistical procedure and assistance with writing up of results. While many books look at the fundamentals of doing successful experiments and include good coverage of statistical techniques, this book very importantly considers the process in chronological order with specific attention given to effective design in the context of likely methods needed and expected results. Without full assessment of these aspects, the experience and results may not end up being as positive as one might have hoped. Ample coverage is then also provided of statistical data analysis, a hazardous journey in itself, and the reporting of findings, with numerous examples and helpful tips of common downfalls throughout. Combining light humour, empathy with solid practical guidance to ensure a positive experience overall, How to Design and Report Experiments will be essential reading for students in psychology and those in cognate disciplines with an experimental focus or content in research methods courses.

Science --- Methods in social research (general) --- Mathematical statistics --- Experimental design. --- Experimental design --- Wetenschappelijk onderzoek --- Psychologie. --- Psychology, Experimental --- Plan d'expérience --- Psychologie expérimentale --- Methodology. --- Méthodologie --- 519.2 --- 301.08 --- #SBIB:303H0 --- Wiskundige statistiek --- Sociologische onderzoeksmethoden (algemeen) --- Methoden in de sociale wetenschappen: algemeen --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Statistical decision --- Statistics --- Analysis of means --- Analysis of variance --- Experiments --- Methodology --- #KVHB:Statistiek --- #KVHB:Wetenschappelijk onderzoek

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Applied Linear Statistical Models 5e is the long established leading authoritative text and reference on statistical modeling. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.

QA 278.2 Regression Analysis (Mathematical Statistics / Multivariate Analysis) - HA29 Theory and method of social science statistics (General works/ English) --- Analysis of Variance --- Linear Models --- Experimental design --- Regression analysis --- Textbooks --- Regression analysis - Textbooks --- Analysis of variance - Textbooks --- Experimental design - Textbooks --- Linear models (Statistics) - Textbooks --- Analysis of variance --- Linear models (Statistics) --- Ruimtelijke planning en ruimtelijk ontwerp --- Methoden en technieken. --- Quantitative methods in social research --- Mathematical statistics --- Statistical science --- mathematische modellen, toegepast op economie --- multivariaat --- regressie-analyse --- 519.22 --- 519.22 Statistical theory. Statistical models. Mathematical statistics in general --- Statistical theory. Statistical models. Mathematical statistics in general --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Models, Linear (Statistics) --- Mathematical models --- Statistics --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Science --- Statistical decision --- Analysis of means --- ANOVA (Analysis of variance) --- Variance analysis --- Experiments --- Methodology --- Toegepaste statistiek. --- Modèles linéaires. --- Modèles linéaires (statistique) --- Statistique mathématique. --- Mathematical statistics. --- Experimental design.