[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-268244-105":59,"doc-detail-268244-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","discovering-statistics-using-ibm-spss-statistics-5th-edition","Discovering Statistics Using IBM SPSS Statistics - 5th Edition","","Discovering Statistics Using IBM SPSS Statistics (5th Edition) by Andy Field provides a practical, chapter-based guide to learning statistics through the IBM SPSS Statistics workflow. The book moves from the foundations of statistical models, sampling, and NHST to bias, effect sizes, and advanced approaches like Bayesian methods. It then builds skills for data exploration with graphs, correlation, non-parametric tests, and a full progression of linear model techniques including GLM, MANOVA, factor analysis, logistic regression, and multilevel models.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":30,"@type":76,"position":81},"https://docshare.wps.com/document/technology/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/discovering-statistics-using-ibm-spss-statistics-5th-edition/268244/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/discovering-statistics-using-ibm-spss-statistics-5th-edition/268244.png","ImageObject",300,407,{"name":92,"@type":93},"Levi","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-21","2026-09-14",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",124,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"How does the book introduce statistical thinking and research steps?","Question",{"text":113,"@type":114},"It begins with the motivation for learning statistics and frames the research process, including observation, generating and testing theories, collecting data, analysing, and reporting results.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"What topics cover using IBM SPSS Statistics effectively?",{"text":118,"@type":114},"It explains the SPSS environment, data editor, entering and importing data, the SPSS viewer, exporting output, syntax editing, and saving and opening files.",{"name":120,"@type":111,"acceptedAnswer":121},"Which major modelling methods are covered after correlation?",{"text":122,"@type":114},"After correlation and effect-size reporting, the book covers regression and linear models, multiple GLM designs, MANOVA, exploratory factor analysis, logistic regression for categorical outcomes, and multilevel linear models.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},268244,1789429584,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":29,"category_name":30,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":130,"read_time":145},7971461740909,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","Discovering Statistics Using IBM SPSS Statistics  \nCatisfied customers  \nDiscovering Statistics Using IBM SPSS Statistics  \n5th Edition  \nAndy Field  \nContents  \nPreface  \nHow to use this book  \nThank You  \nSymbols used in this book  \nSome maths revision  \n1 Why is my evil lecturer forcing me to learn statistics?  \n2 The SPINE of statistics  \n3 The phoenix of statistics  \n4 The IBM SPSS Statistics environment  \n5 Exploring data with graphs  \n6 The beast of bias  \n7 Non-parametric models  \n8 Correlation  \n9 The Linear Model (Regression)  \n10 Comparing two means  \n11 Moderation, mediation and multicategory predictors  \n12 GLM 1 : Comparing several independent means  \n13 GLM 2 : Comparing means adjusted for other predictors (analysis of  \ncovariance)  \n14 GLM 3 : Factorial designs  \n15 GLM 4 : Repeated-measures designs  \n16 GLM 5 : Mixed designs  \n17 Multivariate analysis of variance (MANOVA)  \n18 Exploratory factor analysis  \n19 Categorical outcomes: chi-square and loglinear analysis  \n20 Categorical outcomes: logistic regression  \n21 Multilevel linear models  \nEpilogue  \nAppendix  \nGlossary  \nReferences  \nIndex  \nExtended Contents  \nPreface  \nHow to use this book  \nThank You  \nSymbols used in this book  \nSome maths revision  \n1 Why is my evil lecturer forcing me to learn statistics?  \n1.1 What will this chapter tell me?  \n1.2 What the hell am I doing here? I don’t belong here  \n1.3 The research process  \n1.4 Initial observation: finding something that needs explaining  \n1.5 Generating and testing theories and hypotheses  \n1.6 Collecting data: measurement  \n1.7 Collecting data: research design  \n1.8 Analysing data  \n1.9 Reporting data  \n1.10 Brian’s attempt to woo Jane  \n1.11 What next?  \n1.12 Key terms that I’ve discovered  \nSmart Alex’s tasks  \n2 The SPINE of statistics  \n2.1 What will this chapter tell me?  \n2.2 What is the SPINE of statistics?  \n2.3 Statistical models  \n2.4 Populations and samples  \n2.5 P is for parameters  \n2.6 E is for estimating parameters  \n2.7 S is for standard error  \n2.8 I is for (confidence) interval  \n2.9 N is for null hypothesis significance testing  \n2.10 Reporting significance tests  \n2.11 Brian’s attempt to woo Jane  \n2.12 What next?  \n2.13 Key terms that I’ve discovered  \nSmart Alex’s tasks  \n3 The phoenix of statistics  \n3.1 What will this chapter tell me?  \n3.2 Problems with NHST  \n3.3 NHST as part of wider problems with science 3.4 A phoenix from the EMBERS  \n3.5 Sense, and how to use it  \n3.6 Pre-registering research and open science  \n3.7 Effect sizes  \n3.8 Bayesian approaches  \n3.9 Reporting effect sizes and Bayes factors  \n3.10 Brian’s attempt to woo Jane  \n3.11 What next?  \n3.12 Key terms that I’ve discovered  \nSmart Alex’s tasks  \n4 The IBM SPSS Statistics environment  \n4.1 What will this chapter tell me?  \n4.2 Versions of IBM SPSS Statistics  \n4.3 Windows, Mac OS, and Linux  \n4.4 Getting started  \n4.5 The data editor  \n4.6 Entering data into IBM SPSS Statistics  \n4. 7 Importing data  \n4.8 The SPSS viewer  \n4.9 Exporting SPSS output  \n4.10 The syntax editor  \n4.11 Saving files  \n4.12 Opening files  \n4.13 Extending IBM SPSS Statistics  \n4.14 Brian’s attempt to woo Jane  \n4.15 What next?  \n4.16 Key terms that I’ve discovered  \nSmart Alex’s tasks  \n5 Exploring data with graphs  \n5.1 What will this chapter tell me?  \n5.2 The art of presenting data  \n5.3 The SPSS Chart Builder  \n5.4 Histograms  \n5.5 Boxplots (box–whisker diagrams)  \n5.6 Graphing means: bar charts and error bars  \n5.7 Line charts  \n5.8 Graphing relationships: the scatterplot  \n5.9 Editing graphs  \n5.10 Brian’s attempt to woo Jane  \n5.11 What next?  \n5.12 Key terms that I’ve discovered  \nSmart Alex’s tasks  \n6 The beast of bias  \n6.1 What will this chapter tell me?  \n6.2 What is bias?  \n6.3 Outliers  \n6.4 Overview of assumptions  \n6.5 Additivity and linearity  \n6.6 Normally distributed something or other  \n6.7 Homoscedasticity/homogeneity of variance  \n6.8 Independence  \n6.9 Spotting outliers  \n6.10 Spotting normality  \n6.11 ","cbCaieR8j4E8283d","https://ap.wps.com/l/cbCaieR8j4E8283d","pdf",56182209,1561,"English","# Preface\n## How to use this book\n# Some maths revision\n# Why is my evil lecturer forcing me to learn statistics?\n# The SPINE of statistics\n# The phoenix of statistics\n# The IBM SPSS Statistics environment\n# Exploring data with graphs\n# The beast of bias\n# Non-parametric models\n# Correlation\n# The Linear Model (Regression)\n# Comparing two means\n# Moderation, mediation and multicategory predictors\n# GLM 1 - Comparing several independent means\n# GLM 2 - Comparing means adjusted for other predictors (analysis of covariance)\n# GLM 3 - Factorial designs\n# GLM 4 - Repeated-measures designs\n# GLM 5 - Mixed designs\n# Multivariate analysis of variance (MANOVA)\n# Exploratory factor analysis\n# Categorical outcomes: chi-square and loglinear analysis\n# Categorical outcomes: logistic regression\n# Multilevel linear models\n# Epilogue\n# Appendix\n# Glossary\n# References\n# Index","[{\"question\":\"How does the book introduce statistical thinking and research steps?\",\"answer\":\"It begins with the motivation for learning statistics and frames the research process, including observation, generating and testing theories, collecting data, analysing, and reporting results.\"},{\"question\":\"What topics cover using IBM SPSS Statistics effectively?\",\"answer\":\"It explains the SPSS environment, data editor, entering and importing data, the SPSS viewer, exporting output, syntax editing, and saving and opening files.\"},{\"question\":\"Which major modelling methods are covered after correlation?\",\"answer\":\"After correlation and effect-size reporting, the book covers regression and linear models, multiple GLM designs, MANOVA, exploratory factor analysis, logistic regression for categorical outcomes, and multilevel linear models.\"}]","Discovering Statistics Using IBM SPSS Statistics - 5th Edition | PDF",3934]