An EasyGuide to Research Design & SPSS by Beth M. Schwartz

Description: About this productProduct InformationThis handbook provides clear and concise guidance for research methods students faced with the many decisions involved in developing the most appropriate strategy to test a hypothesis.Product IdentifiersPublisherSAGE Publications, IncorporatedISBN-101452288828ISBN-139781452288826eBay Product ID (ePID)172721414Product Key FeaturesPublication Year2014LanguageEnglishDimensionsWeight7.9 OzWidth6in.Height0.8in.Length9in.Additional Product FeaturesFormatSpiralDewey Edition23Table of ContentSection 1: Overview Basic Design DecisionsChapter 1: Marriage - 'Til Death Do Us Part We Want to Help Basic Steps of ResearchChapter 2: The Two Faces of Correlation Correlation as a Research Design Correlations as a StatisticChapter 3: Why Your Type fo Data Really Does Matter: Nominal, Ordinal, Interval, or Ratio Nominal Data Ordinal Data Interval Data Ratio DataChapter 4: To KISS (Keep It Simply Student) or to Complicate Matters: Nominal Data How Many Variables Should I Include? How Many Participants Should I Include How Many Independent Variables ( IVs) Should I Include Including More Than One Independnt Variables (IV) Choosing the Number of Levels of Each Variable Choosing Your Dependent Variables (DVs) Avoiding the Un-Measurable Dependent Variables (DVs) How Many Dependent Variables (DVs) To IncludeSection II: Your Basic SPSS Tool BoxChapter 5: Why SPSS and Not Other Software, Your Calculator, Fingers, or Toes The Structure of SPSSChapter 6: SPSS Data Hygiene: Columns, and Labels, and Values....Oh My. When to Create Your Data File: Yes Even Before Data Collection Setting Up Your Data File Naming and Labeling Your Variables How to Keep Track and Remember the Details of Your Data File Creating New Variables in Your Data File: Transformations Conducting Analyses With Only Parts of Your Collected DataChapter 7: Tell Me About It: Descriptive Statistics Describing Nominal Data Describing Ordinal Data Describing Interval of Ratio Data Describing Data with Two SamplesSection III: Designs, Statistics, Interpretaion, and Write-Up in APA StyleChapter 8: Celebrate Your Independence!: Between-Groups Designs One IV, Two Levels Between Groups with 2 Levels of an IV Independent-Samples T-Test with a Pseudo-IV Between Groups with More than 2 Levels of an IVChapter 9: Everybody Plays!: Repeated-Measures Designs One Independent Variable (IV) with Two-Levels Expanding the Number of Levels for Your Independent Variable Adding Another Factor: Within-Subjects Factorial DesignsChapter 10: Complicating Matters: Advanced Research Designs Mixed Designs: One Between Variable and One Repeated-Measures A Multivariate Design: Measuring It All Including More Than One Dependent Variable In Your Design ANCOVAChapter 11: How do I know if That Relationship is Real? Correlations Correlational Design: Two Variables Interpreting Pearson's r Analyzing Your Data Prediction with Two Variables: Simple Linear Regression Prediction with Several Variables: Multiple Linear RegressionChapter 12: Statistics Charades: Two Variables, Two Categories.....is it a Chi Square? I Only Have One Question One-way Chi Square With More Than Two Levels Now I Only Have Two QuestionsSection IV: SummaryChapter 13: Mapping Your Decisions: You Can Get There From Here Making Basic Decisions About Your Design Data with Distinct Groups Interval or Ratio Data with Many LevelsChapter 14: Sample Results Sections for Each Type of Design Independent-Samples T-Test (True IV) Independent-Samples T-Test (Pseudo-IV) One-Way, Between-Groups ANOVA (True IV) Paired-Samples T-Test One-Way, Within-Groups (Repeated-Measures) ANOVA Two-Way, Within-Groups (Repeated-Measures) ANOVA Pearson's r Correlation Pearson's r Correlation and Regression One-Way ?2 Two-Way ?2Chapter 15: Did I do that? Taking Advice From the Experts Questions About Research Design Questions About Analyzing Your Data Questions About Interpreting Your Data and Presenting Your Results When Interpreting Your DataIllustratedYesDewey Decimal001.4/22Target AudienceCollege AudienceSeriesEasyguide Ser.Copyright Date2015AuthorDennis M. Goff, Janie H. (Hamn) Wilson, Beth M. (Meryl) SchwartzLc Classification NumberHa32.S125 2015Reviews...Competition for books like this is fierce and the core elements of the book under review are very good: the language is expressive and always engaging, the examples are excellent and the integration of statistics and design is an essential one.Lccn2013-043380

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