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Easyguide Ser.: EasyGuide to Research Design and SPSS by Janie H. Wilson, Dennis M. Goff and Beth M. Schwartz (2018, Spiral / Spiral)
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About this product
Product Identifiers
PublisherSAGE Publications, Incorporated
ISBN-101506385486
ISBN-139781506385488
eBay Product ID (ePID)241239988
Product Key Features
Number of Pages312 Pages
Publication NameEasyguide to Research Design and SPSS
LanguageEnglish
SubjectMethodology, Mathematical & Statistical Software, General, Statistics, Research & Methodology
Publication Year2018
TypeTextbook
Subject AreaComputers, Social Science, Psychology
AuthorJanie H. Wilson, Dennis M. Goff, Beth M. Schwartz
SeriesEasyguide Ser.
FormatSpiral / Spiral
Dimensions
Item Height0.7 in
Item Weight18.2 Oz
Item Length9 in
Item Width6.8 in
Additional Product Features
Edition Number2
Intended AudienceCollege Audience
LCCN2017-040209
Dewey Edition23
TitleLeadingAn
IllustratedYes
Dewey Decimal001.4/22
Table Of ContentPrefaceAbout the AuthorsSECTION I. OVERVIEW OF BASIC DESIGN DECISIONS1. The Marriage of Stats and Methods: 'til Death Do They PartWe Want to HelpBasic Steps of ResearchSummary2. Nominal, Ordinal, Interval, or Ratio: Why Your Type of Data Really Does MatterNominal DataOrdinal DataInterval DataRatio DataSummary3. Designing Your Hypothesis: To KISS (Keep It Simple, Student) or to Complicate MattersHow Many Variables Should I Include?How Many Participants Should I Include?How Many Independent Variables Should I Include?Including More Than One Independent VariableChoosing the Number of Levels of Each VariableChoosing Your Dependent VariablesAvoiding the Unmeasurable Dependent VariablesHow Many Dependent Variables to IncludeSummarySECTION II. YOUR BASIC SPSS TOOLBOX4. Why SPSS and Not Other Software, Your Calculator, Fingers, or Toes5. Handling Your Data in SPSS: Columns, and Labels, and Values . . . Oh My!The Structure of SPSSWhen to Create Your Data File: Yes, Even Before Data CollectionSetting Up Your Data FileImporting DataNaming and Labeling Your VariablesHow to Keep Track and Remember the Details of Your Data FileCreating New Variables in Your Data File: TransformationsCalculating a Total or Mean ScoreRecording VariablesConducting Analyses With Only Part of Your Collected Data: Split File and Select CasesSummary6. Descriptive Statistics: Tell Me About ItDescribing Nominal DataDescribing Ordinal DataDescribing Interval or Ratio DataDescribing Data With Two SamplesSummarySECTION III. DESIGNS, STATISTICS, INTERPRETATION, AND WRITE-UP IN APA STYLE7. Between-Groups Designs: Celebrate Your Independence!One IV, Two LevelsBetween Groups With Two Levels of an IVIndependent-Samples t-Test With a Quasi-IVBetween Groups With More Than Two Levels of an IVBetween Groups With More Than One IVSummary8. Repeated-Measures Designs: Everybody Plays!One Independent Variable With Two LevelsExpanding the Number of Levels for Your Independent VariableAdding Another Factor: Within-Subjects Factorial DesignsSummary9. Advanced Research Designs: Complicating MattersMixed Designs: One Between Variable and One Repeated-Measures VariableA Multivariate Design: Measuring It All Including More Than One Dependent Variable in Your DesignANCOVASummary10. Correlational Analysis: How Do I Know If That Relationship Is Real?Correlational Analysis: Two VariablesPrediction With Two Variables: Simple Linear RegressionPrediction With Several Variables: Multiple Linear RegressionSummary11. Chi Square: Staying on the Same FrequencyWhat Do You Expect?One-Way Chi Square With More Than Two LevelsTwo-Way Chi SquareSummary12. How Many Participants Do You Need? More Power to You!Finding Power in SPSS's General Linear ModelUsing G*Power to Find PowerPlanning Sample Sizes for Your Future ResearchSummarySECTION IV. A SUMMARY13. Mapping Your Decisions: You Can Get There From HereMaking Basic Decisions About Your DesignData With Distinct GroupsInterval or Ratio Data With Many LevelsSummary14. APA Results Sectionst-Test for Independent Samples (True IV)t-Test for Independent Samples (Pseudo-IV)One-Way ANOVA for Independent Groups (True IV)t-Test for Correlated SamplesOne-Way ANOVA for Correlated Groups (Repeated Measures)Factorial ANOVA for Correlated Groups (Repeated Measures)Factorial ANOVA for Mixed GroupsFactorial ANOVA for Independent GroupsAnalysis of CovariancePearson's r CorrelationPearson's r Correlation and Simple RegressionOne-Way c2Two-Way c215. Frequently Asked Questions: Did I Do That?Questions About Research DesignQuestions About Analyzing Your DataQuestions About Interpreting Your Data and Presenting Your ResultsSummaryGlossaryIndexReferences
SynopsisAn EasyGuide to Research Design and SPSS® is an essential resource for students to successfully navigate and complete research projects.Using a clear, concise, and conversational writing style, authors Beth M. Schwartz, Janie H. Wilson, and Dennis M. Goff cover all of the most basicand common designs and analyses that students need to know for appropriately testing a hypothesis. The handbook includes step-by-step instructions accompanied by ample screenshots for working with data in SPSS®, along with guidance on interpreting outputs and formatting results in APA style. The Second Editionfeatures a streamlined organization, updated references, and new content on factorial designs, effect size, and G*Power., Clear, concise and conversational, this second edition includes step-by-step instructions for working with data in SPSS® and covers the most common designs and analyses that students need to know to test a hypothesis and successfully complete their research project., An EasyGuide to Research Design and SPSS(R) is an essential resource for students to successfully navigate and complete research projects. Using a clear, concise, and conversational writing style, authors Beth M. Schwartz, Janie H. Wilson, and Dennis M. Goff cover all of the most basic and common designs and analyses that students need to know for appropriately testing a hypothesis. The handbook includes step-by-step instructions accompanied by ample screenshots for working with data in SPSS(R), along with guidance on interpreting outputs and formatting results in APA style. The Second Edition features a streamlined organization, updated references, and new content on factorial designs, effect size, and G*Power., An EasyGuide to Research Design and SPSS (R) is an essential resource for students to successfully navigate and complete research projects. Using a clear, concise, and conversational writing style, authors Beth M. Schwartz, Janie H. Wilson, and Dennis M. Goff cover all of the most basic and common designs and analyses that students need to know for appropriately testing a hypothesis. The handbook includes step-by-step instructions accompanied by ample screenshots for working with data in SPSS (R), along with guidance on interpreting outputs and formatting results in APA style. The Second Edition features a streamlined organization, updated references, and new content on factorial designs, effect size, and G*Power.
LC Classification NumberHA32.S125 2019
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