Op werkdagen voor 23:00 besteld, morgen in huis Gratis verzending vanaf €20
0318-508539
Statistics for Social Workers
Statistics for Social Workers
Robert W. Weinbach Meer over de auteurs
,

Statistics for Social Workers
Specificaties
Paperback, blz. | Engels
Pearson Education | 2014
ISBN13: 9780205867035
Rubricering
Pearson Education e druk, 2014 9780205867035
€ 194,14
In winkelwagen
Levertijd ongeveer 9 werkdagen
Gratis verzonden

Samenvatting

This title is also available packaged with the Enhanced Pearson eText. To order the Enhanced Pearson eText packaged with a bound book, use ISBN: 0133909069.

 

A reader-friendly approach to statistics in social work practice.

Statistics for Social Workers, 9/e familiarizes students with statistical tests and analyses that are most likely to be encountered by social work researchers and practitioners. This reader-friendly title emphasizes the conceptual underpinning of statistical analyses, keeping mathematics and complicated formulae to a minimum. Readers require no prior knowledge of statistics and only basic mathematical competence.

 

Invigorate learning with the Enhanced Pearson eText
The Enhanced Pearson eText provides a rich, interactive learning environment designed to improve student mastery of content with learning objectives, flashcards, and end of chapter reviews. The Enhanced Pearson eText is also available without a print version.

 

Instructors, visit pearsonhighered.com/etextbooks to register for your digital examination copy.

Specificaties

ISBN13:9780205867035
Taal:Engels
Bindwijze:Paperback
Uitgever:Pearson Education
Hoofdrubriek:Mens en maatschappij

Inhoudsopgave

<p style="MARGIN: 0px">In this Section:</p> <p style="MARGIN: 0px">&nbsp;&nbsp;&nbsp;&nbsp;I) Brief Table of Contents</p> <p style="MARGIN: 0px">&nbsp;&nbsp;&nbsp;&nbsp;II) Detailed Table of Contents</p> <p style="MARGIN: 0px">&nbsp; </p> <hr> <p style="MARGIN: 0px"></p> <p style="MARGIN: 0px">I) Brief Table of Contents</p> <p style="MARGIN: 0px">&nbsp;</p> <p style="MARGIN: 0px">Chapter 1. Introduction </p> <p style="MARGIN: 0px">Chapter 2. Frequency Distributions and Graphs</p> <p style="MARGIN: 0px">Chapter 3. Measures of Central Tendency and Variability</p> <p style="MARGIN: 0px">Chapter 4. Normal Distributions</p> <p style="MARGIN: 0px">Chapter 5. Testing Hypotheses </p> <p style="MARGIN: 0px">Chapter 6. Sampling Distributions </p> <p style="MARGIN: 0px">Chapter 7. t Tests and Analysis of Variance&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Chapter 8. The Chi-Square Test of Association between Variables&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Chapter 9. Correlation</p> <p style="MARGIN: 0px">Chapter 10. Regression&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Chapter 11. Other Ways That Statistical Analyses Contribute to Evidence-Based Practice</p> <p style="MARGIN: 0px">&nbsp; </p> <hr> <p style="MARGIN: 0px"></p> <p style="MARGIN: 0px">II) Detailed Table of Contents</p> <p style="MARGIN: 0px">&nbsp;</p> <p style="MARGIN: 0px">Chapter 1. Introduction </p> <p style="MARGIN: 0px">Useful Terms You Will Need to Know</p> <p style="MARGIN: 0px">Measurement iSSUES</p> <p style="MARGIN: 0px">Additional Measurement Classifications&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Research Hypotheses </p> <p style="MARGIN: 0px">Classification of Variables and Their Relationship</p> <p style="MARGIN: 0px">Categories of Statistical Analyses&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Statistics and data collection</p> <p style="MARGIN: 0px">Research designs and statistics</p> <p style="MARGIN: 0px">&nbsp;</p> <p style="MARGIN: 0px">Chapter 2. Frequency Distributions and Graphs</p> <p style="MARGIN: 0px">Frequency Distributions&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Grouped Frequency Distributions&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Using Frequency Distributions to Analyze Data&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Misrepresentation of Data&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Graphs&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">A Caution: Computer-generated graphs&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">&nbsp;</p> <p style="MARGIN: 0px">Chapter 3. Measures of Central Tendency and Variability</p> <p style="MARGIN: 0px">Measures of Central Tendency</p> <p style="MARGIN: 0px">Measures of Variability&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Other Uses for Central Tendency and Variability&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">&nbsp;</p> <p style="MARGIN: 0px">Chapter 4. Normal Distributions</p> <p style="MARGIN: 0px">Skewness&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Kurtosis&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">The Normal Curve</p> <p style="MARGIN: 0px">The Standard Normal Distribution</p> <p style="MARGIN: 0px">Converting Raw Scores to z Scores and Percentiles</p> <p style="MARGIN: 0px">Deriving raw Scores From Percentiles</p> <p style="MARGIN: 0px">&nbsp;</p> <p style="MARGIN: 0px">Chapter 5. Testing Hypotheses </p> <p style="MARGIN: 0px">Alternative Explanations for Relationships Within Samples</p> <p style="MARGIN: 0px">Probability and Inference</p> <p style="MARGIN: 0px">Refuting Sampling Error</p> <p style="MARGIN: 0px">Statistical Significance</p> <p style="MARGIN: 0px">Testing the Null Hypothesis</p> <p style="MARGIN: 0px">Errors in Drawing Conclusions About Relationships</p> <p style="MARGIN: 0px">Statistically Significant Relationships and Meaningful Findings</p> <p style="MARGIN: 0px">The Hypothesis Testing process</p> <p style="MARGIN: 0px">&nbsp;</p> <p style="MARGIN: 0px">Chapter 6. Sampling Distributions </p> <p style="MARGIN: 0px">Sample Size and Sampling Error</p> <p style="MARGIN: 0px">What are Sampling Distribution?</p> <p style="MARGIN: 0px">Rejection Regions and hypothesis testing</p> <p style="MARGIN: 0px">Estimating Parameters</p> <p style="MARGIN: 0px">Selecting Statistical Tests&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Deciding Which Test to use&nbsp;&nbsp; </p> <p style="MARGIN: 0px">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Chapter 7. t Tests and Analysis of Variance&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">The use of t Tests&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">The One-sample t Test&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">The Dependent t Test&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">The Independent tTest&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Misuse of t tests</p> <p style="MARGIN: 0px">Simple Analysis of Variance (Simple Anova)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Multivariate Analysis of Variance&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">&nbsp;</p> <p style="MARGIN: 0px">Chapter 8. &nbsp;The Chi-Square Test of Association between Variables&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">When Chi-Square is Appropriate</p> <p style="MARGIN: 0px">Cross-Tabulation Tables&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Using Chi-Square </p> <p style="MARGIN: 0px">When Chi-square is not appropriate</p> <p style="MARGIN: 0px">Using chi-square in social work practice</p> <p style="MARGIN: 0px">Cross-Tabulation With Three or More Variables</p> <p style="MARGIN: 0px">Special Applications of The Chi-Square Formula&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Chapter 9. Correlation</p> <p style="MARGIN: 0px">Uses of Correlation&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Scattergrams</p> <p style="MARGIN: 0px">Nonperfect Correlations</p> <p style="MARGIN: 0px">Interpreting Linear Correlations&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Using Correlation for inference</p> <p style="MARGIN: 0px">Pearson’S r&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Nonparametric Alternatives to Pearson’S r </p> <p style="MARGIN: 0px">Correlation With Three or More Variables&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Other Multivariate analyses That use Correlation&nbsp;&nbsp; </p> <p style="MARGIN: 0px">&nbsp;</p> <p style="MARGIN: 0px">Chapter 10. Regression&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Prediction and Evidence-Based Practice&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Prediction and Statistical Analysis&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">What is Simple Linear Regression?&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Computation of the Regression Equation&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">More About the Regression Line&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Interpreting Results&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Using regression in social work practice</p> <p style="MARGIN: 0px">When is regression analysis appropriate</p> <p style="MARGIN: 0px">Regression With Three or More Variables&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Other Types of Regression Analyses&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">Chapter 11. Other Ways That Statistical Analyses Contribute to Evidence-Based Practice</p> <p style="MARGIN: 0px">Meta-analyses</p> <p style="MARGIN: 0px">Program evaluations</p> <p style="MARGIN: 0px">Single-System designs&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p> <p style="MARGIN: 0px">&nbsp;</p>

Anderen die dit kochten, kochten ook

€ 194,14
Levertijd ongeveer 9 werkdagen
Gratis verzonden

Rubrieken

Uw cookie-instellingen
Deze website maakt gebruik van verschillende soorten cookies. Sommige cookies worden geplaatst door diensten van derden die op onze pagina's worden weergegeven. Om deze externe content te kunnen tonen is nodig dat u toestemming geeft voor het zetten van persoonlijke en marketingcookies. U kunt uw toestemming op elk moment wijzigen of intrekken. In onze cookieverklaring vindt u meer informatie.

    Personen

      Trefwoorden

        Statistics for Social Workers

        Recensiebeleid
        AI-book

        Wat is een AI-book?

        Een AI-book is niet een boek dat geschreven is door AI maar een boek dat verrijkt is met AI. Het maakt de inhoud van een boek interactief via WhatsApp, zodat je ermee kunt chatten. Zie het als een razend slimme assistent die het boek perfect begrijpt en er alles uit onthouden heeft. Jij kunt deze assistent alles vragen. Vraag bijvoorbeeld hoe je iets kunt toepassen op jouw persoonlijke situatie, om een korte samenvatting, of wat de belangrijkste inzichten zijn. AI-books zijn alleen te gebruiken via WhatsApp, je hoeft er geen aparte app voor te installeren.
        Meer informatie over AI-books

        ?

        Geef uw beoordeling

        Statistics for Social Workers

        Verwijder uw beoordeling