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Ein EasyGuide für Forschungsdesign & SPSS (EasyGuide-Serie) - spiralgebunden - GUT

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Book Title
An EasyGuide to Research Design & SPSS (EasyGuide Series)
Brand
Unbranded
ISBN
9781452288826
Subject Area
Computers, Psychology, Social Science
Publication Name
Easyguide to Research Design and SPSS
Publisher
SAGE Publications, Incorporated
Item Length
9 in
Subject
Methodology, Mathematical & Statistical Software, General, Statistics, Research & Methodology
Publication Year
2014
Series
Easyguide Ser.
Type
Textbook
Format
Spiral
Language
English
Item Height
0.8 in
Author
Janie H. Wilson, Dennis M. Goff, Beth M. Schwartz
Item Weight
7.9 Oz
Item Width
6 in
Number of Pages
296 Pages

Über dieses Produkt

Product Information

An EasyGuide to Experimental Design and SPSS is a handbook that 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. By presenting an integrated approach to the choice of design and statistical analysis this handbook helps students connect the choice of experimental design with the choice of an appropriate statistical test for data analyses. The EasyGuide also presents the exact steps to analyze data in SPSS, including ample screenshots. The authors provide a how-to for interpreting the output from SPSS analyses, and they help students format the relevant SPSS output into an APA-style results section.

Product Identifiers

Publisher
SAGE Publications, Incorporated
ISBN-10
1452288828
ISBN-13
9781452288826
eBay Product ID (ePID)
172721414

Product Key Features

Number of Pages
296 Pages
Language
English
Publication Name
Easyguide to Research Design and SPSS
Publication Year
2014
Subject
Methodology, Mathematical & Statistical Software, General, Statistics, Research & Methodology
Type
Textbook
Subject Area
Computers, Psychology, Social Science
Author
Janie H. Wilson, Dennis M. Goff, Beth M. Schwartz
Series
Easyguide Ser.
Format
Spiral

Dimensions

Item Height
0.8 in
Item Weight
7.9 Oz
Item Length
9 in
Item Width
6 in

Additional Product Features

LCCN
2013-043380
Dewey Edition
23
Reviews
...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.
Target Audience
College Audience
Illustrated
Yes
Dewey Decimal
001.4/22
Lc Classification Number
Ha32.S125 2015
Table of Content
Section 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 Data
Copyright Date
2015

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