Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Excel 2019 for social work statistics : a guide to solving practical problems / / Thomas J. Quirk, Simone M. Cummings
| Excel 2019 for social work statistics : a guide to solving practical problems / / Thomas J. Quirk, Simone M. Cummings |
| Autore | Quirk Thomas J. |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (273 pages) |
| Disciplina | 519.5 |
| Collana | Excel for Statistics |
| Soggetto topico |
Social service - Statistical methods
Treball social Estadística matemàtica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-68257-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Contents -- Chapter 1: Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 1.1 Mean -- 1.2 Standard Deviation -- 1.3 Standard Error of the Mean -- 1.4 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 1.4.1 Using the Fill/Series/Columns Commands -- 1.4.2 Changing the Width of a Column -- 1.4.3 Centering Information in a Range of Cells -- 1.4.4 Naming a Range of Cells -- 1.4.5 Finding the Sample Size Using the =COUNT Function -- 1.4.6 Finding the Mean Score Using the =AVERAGE Function -- 1.4.7 Finding the Standard Deviation Using the =STDEV Function -- 1.4.8 Finding the Standard Error of the Mean -- 1.4.8.1 Formatting Numbers in Number Format (Two Decimal Places) -- 1.5 Saving a Spreadsheet -- 1.6 Printing a Spreadsheet -- 1.7 Formatting Numbers in Currency Format (Two Decimal Places) -- 1.8 Formatting Numbers in Number Format (Three Decimal Places) -- 1.9 End-of-Chapter Practice Problems -- References -- Chapter 2: Random Number Generator -- 2.1 Creating Frame Numbers for Generating Random Numbers -- 2.2 Creating Random Numbers in an Excel Worksheet -- 2.3 Sorting Frame Numbers into a Random Sequence -- 2.4 Printing an Excel File So That All of the Information Fits Onto One Page -- 2.5 End-of-Chapter Practice Problems -- Chapter 3: Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- 3.1 Confidence Interval About the Mean -- 3.1.1 How to Estimate the Population Mean -- 3.1.2 Estimating the Lower Limit and the Upper Limit of the 95% Confidence Interval About the Mean -- 3.1.3 Estimating the Confidence Interval for the Number of Outpatient Visits to a Clinic -- 3.1.4 Where Did the Number ``1.96´´ Come From? -- 3.1.5 Finding the Value for t in the Confidence Interval Formula.
3.1.6 Using Excel´s TINV Function to Find the Confidence Interval About the Mean -- 3.1.7 Using Excel to Find the 95% Confidence Interval for a Clinic´s Outpatient Visits -- 3.2 Hypothesis Testing -- 3.2.1 Hypotheses Always Refer to the Population That You Are Studying -- 3.2.2 The Null Hypothesis and the Research (Alternative) Hypothesis -- 3.2.2.1 Determining the Null Hypothesis and the Research Hypothesis When Rating Scales Are Used -- 3.2.3 The Seven Steps for Hypothesis Testing Using the Confidence Interval About the Mean -- 3.2.3.1 STEP 1: State the Null Hypothesis and the Research Hypothesis -- 3.2.3.2 STEP 2: Select the Appropriate Statistical Test -- 3.2.3.3 STEP 3: Calculate the Formula for the Statistical Test -- 3.2.3.4 STEP 4: Draw a Picture of the Confidence Interval About the Mean, Including the Mean, the Lower Limit of the Interval,... -- 3.2.3.5 STEP 5: Decide on a Decision Rule -- 3.2.3.6 STEP 6: State the Result of Your Statistical Test -- 3.2.3.7 STEP 7: State the Conclusion of Your Statistical Test in Plain English! -- 3.3 Alternative Ways to Summarize the Result of a Hypothesis Test -- 3.3.1 Different Ways to Accept the Null Hypothesis -- 3.3.2 Different Ways to Reject the Null Hypothesis -- 3.4 End-of-Chapter Practice Problems -- References -- Chapter 4: One-Group t-Test for the Mean -- 4.1 The Seven STEPS for Hypothesis Testing Using the One-Group t-Test -- 4.1.1 STEP 1: State the Null Hypothesis and the Research Hypothesis -- 4.1.2 STEP 2: Select the Appropriate Statistical Test -- 4.1.3 STEP 3: Decide on a Decision Rule for the One-Group t-Test -- 4.1.3.1 Finding the Absolute Value of a Number -- 4.1.4 STEP 4: Calculate the Formula for the One-Group t-Test -- 4.1.5 STEP 5: Find the Critical Value of t in the t-Table in Appendix E -- 4.1.6 STEP 6: State the Result of Your Statistical Test. 4.1.7 STEP 7: State the Conclusion of Your Statistical Test in Plain English! -- 4.2 One-Group t-Test for the Mean -- 4.3 Can You Use Either the 95% Confidence Interval About the Mean OR the One-Group t-Test When Testing Hypotheses? -- 4.4 End-of-Chapter Practice Problems -- References -- Chapter 5: Two-Group t-Test of the Difference of the Means for Independent Groups -- 5.1 The Nine STEPS for Hypothesis Testing Using the Two-Group t-Test -- 5.1.1 STEP 1: Name One Group, Group 1, and the Other Group, Group 2 -- 5.1.2 STEP 2: Create a Table That Summarizes the Sample Size, Mean Score, and Standard Deviation of Each Group -- 5.1.3 STEP 3: State the Null Hypothesis and the Research Hypothesis for the Two-Group t-Test -- 5.1.4 STEP 4: Select the Appropriate Statistical Test -- 5.1.5 STEP 5: Decide on a Decision Rule for the Two-Group t-Test -- 5.1.6 STEP 6: Calculate the Formula for the Two-Group t-Test -- 5.1.7 STEP 7: Find the Critical Value of t in the t-Table in Appendix E -- 5.1.7.1 Find the Degrees of Freedom (df) for the Two-Group t-Test -- 5.1.8 STEP 8: State the Result of Your Statistical Test -- 5.1.9 STEP 9: State the Conclusion of Your Statistical Test in Plain English! -- 5.1.9.1 Writing the Conclusion of the Two-Group t-Test When You Accept the Null Hypothesis -- 5.1.9.2 Writing the Conclusion of the Two-Group t-Test When You Reject the Null Hypothesis and Accept the Research Hypothesis -- 5.2 Formula #1: Both Groups Have a Sample Size Greater Than 30 -- 5.2.1 An Example of Formula #1 for the Two-Group t-Test -- 5.3 Formula #2: One or Both Groups Have a Sample Size Less Than 30 -- 5.4 End-of-Chapter Practice Problems -- References -- Chapter 6: Correlation and Simple Linear Regression -- 6.1 What Is a ``Correlation?´´ -- 6.1.1 Understanding the Formula for Computing a Correlation. 6.1.2 Understanding the Nine Steps for Computing a Correlation, r -- 6.2 Using Excel to Compute a Correlation Between Two Variables -- 6.3 Creating a Chart and Drawing the Regression Line onto the Chart -- 6.3.1 Using Excel to Create a Chart and the Regression Line Through the Data Points -- 6.3.1.1 Drawing the Regression Line Through the Data Points in the Chart -- 6.3.1.2 Moving the Chart Below the Table in the Spreadsheet -- 6.3.1.3 Making the Chart ``Longer´´ So That It Is ``Taller´´ -- 6.3.1.4 Making the Chart ``Wider´´ -- 6.4 Printing a Spreadsheet So That the Table and Chart Fit onto One Page -- 6.5 Finding the Regression Equation -- 6.5.1 Installing the Data Analysis ToolPak into Excel -- 6.5.1.1 Installing the Data Analysis ToolPak into Excel 2019 -- 6.5.1.2 Installing the Data Analysis ToolPak into Excel 2016 -- 6.5.1.3 Installing the Data Analysis ToolPak into Excel 2013 -- 6.5.2 Using Excel to Find the SUMMARY OUTPUT of Regression -- 6.5.2.1 Finding the y-Intercept, a, of the Regression Line -- 6.5.2.2 Finding the Slope, b, of the Regression Line -- 6.5.3 Finding the Equation for the Regression Line -- 6.5.4 Using the Regression Line to Predict the y-Value for a Given x-Value -- 6.6 Adding the Regression Equation to the Chart -- 6.7 How to Recognize Negative Correlations in the SUMMARY OUTPUT Table -- 6.8 Printing Only Part of a Spreadsheet Instead of the Entire Spreadsheet -- 6.8.1 Printing Only the Table and the Chart on a Separate Page -- 6.8.2 Printing Only the Chart on a Separate Page -- 6.8.3 Printing Only the SUMMARY OUTPUT of the Regression Analysis on a Separate Page -- 6.9 End-of-Chapter Practice Problems -- References -- Chapter 7: Multiple Correlation and Multiple Regression -- 7.1 Multiple Regression Equation -- 7.2 Finding the Multiple Correlation and the Multiple Regression Equation. 7.3 Using the Regression Equation to Predict FIRST-YEAR GPA -- 7.4 Using Excel to Create a Correlation Matrix in Multiple Regression -- 7.5 End-of-Chapter Practice Problems -- References -- Chapter 8: One-Way Analysis of Variance (ANOVA) -- 8.1 Using Excel to Perform a One-Way Analysis of Variance (ANOVA) -- 8.2 How to Interpret the ANOVA Table Correctly -- 8.3 Using the Decision Rule for the ANOVA F-Test -- 8.4 Testing for the Difference Between Two Groups Using the ANOVA t-Test -- 8.4.1 Comparing Clinic A vs. Clinic C in Time Required to Conduct an Initial Visit Using the ANOVA t-Test -- 8.4.1.1 Finding the Degrees of Freedom for the ANOVA t-Test -- 8.4.1.2 Stating the Decision Rule for the ANOVA t-Test -- 8.4.1.3 Performing an ANOVA t-Test Using Excel Commands -- 8.5 End-of-Chapter Practice Problems -- References -- Appendices -- Appendix A: Answers to End-of-Chapter Practice Problems -- Appendix B: Practice Test -- Appendix C: Answers to Practice Test -- Appendix D: Statistical Formulas -- Appendix E: t-Table -- Index. |
| Record Nr. | UNISA-996466551603316 |
Quirk Thomas J.
|
||
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Excel 2019 for social work statistics : a guide to solving practical problems / / Thomas J. Quirk, Simone M. Cummings
| Excel 2019 for social work statistics : a guide to solving practical problems / / Thomas J. Quirk, Simone M. Cummings |
| Autore | Quirk Thomas J. |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (273 pages) |
| Disciplina | 519.5 |
| Collana | Excel for Statistics |
| Soggetto topico |
Social service - Statistical methods
Treball social Estadística matemàtica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-68257-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Contents -- Chapter 1: Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 1.1 Mean -- 1.2 Standard Deviation -- 1.3 Standard Error of the Mean -- 1.4 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 1.4.1 Using the Fill/Series/Columns Commands -- 1.4.2 Changing the Width of a Column -- 1.4.3 Centering Information in a Range of Cells -- 1.4.4 Naming a Range of Cells -- 1.4.5 Finding the Sample Size Using the =COUNT Function -- 1.4.6 Finding the Mean Score Using the =AVERAGE Function -- 1.4.7 Finding the Standard Deviation Using the =STDEV Function -- 1.4.8 Finding the Standard Error of the Mean -- 1.4.8.1 Formatting Numbers in Number Format (Two Decimal Places) -- 1.5 Saving a Spreadsheet -- 1.6 Printing a Spreadsheet -- 1.7 Formatting Numbers in Currency Format (Two Decimal Places) -- 1.8 Formatting Numbers in Number Format (Three Decimal Places) -- 1.9 End-of-Chapter Practice Problems -- References -- Chapter 2: Random Number Generator -- 2.1 Creating Frame Numbers for Generating Random Numbers -- 2.2 Creating Random Numbers in an Excel Worksheet -- 2.3 Sorting Frame Numbers into a Random Sequence -- 2.4 Printing an Excel File So That All of the Information Fits Onto One Page -- 2.5 End-of-Chapter Practice Problems -- Chapter 3: Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- 3.1 Confidence Interval About the Mean -- 3.1.1 How to Estimate the Population Mean -- 3.1.2 Estimating the Lower Limit and the Upper Limit of the 95% Confidence Interval About the Mean -- 3.1.3 Estimating the Confidence Interval for the Number of Outpatient Visits to a Clinic -- 3.1.4 Where Did the Number ``1.96´´ Come From? -- 3.1.5 Finding the Value for t in the Confidence Interval Formula.
3.1.6 Using Excel´s TINV Function to Find the Confidence Interval About the Mean -- 3.1.7 Using Excel to Find the 95% Confidence Interval for a Clinic´s Outpatient Visits -- 3.2 Hypothesis Testing -- 3.2.1 Hypotheses Always Refer to the Population That You Are Studying -- 3.2.2 The Null Hypothesis and the Research (Alternative) Hypothesis -- 3.2.2.1 Determining the Null Hypothesis and the Research Hypothesis When Rating Scales Are Used -- 3.2.3 The Seven Steps for Hypothesis Testing Using the Confidence Interval About the Mean -- 3.2.3.1 STEP 1: State the Null Hypothesis and the Research Hypothesis -- 3.2.3.2 STEP 2: Select the Appropriate Statistical Test -- 3.2.3.3 STEP 3: Calculate the Formula for the Statistical Test -- 3.2.3.4 STEP 4: Draw a Picture of the Confidence Interval About the Mean, Including the Mean, the Lower Limit of the Interval,... -- 3.2.3.5 STEP 5: Decide on a Decision Rule -- 3.2.3.6 STEP 6: State the Result of Your Statistical Test -- 3.2.3.7 STEP 7: State the Conclusion of Your Statistical Test in Plain English! -- 3.3 Alternative Ways to Summarize the Result of a Hypothesis Test -- 3.3.1 Different Ways to Accept the Null Hypothesis -- 3.3.2 Different Ways to Reject the Null Hypothesis -- 3.4 End-of-Chapter Practice Problems -- References -- Chapter 4: One-Group t-Test for the Mean -- 4.1 The Seven STEPS for Hypothesis Testing Using the One-Group t-Test -- 4.1.1 STEP 1: State the Null Hypothesis and the Research Hypothesis -- 4.1.2 STEP 2: Select the Appropriate Statistical Test -- 4.1.3 STEP 3: Decide on a Decision Rule for the One-Group t-Test -- 4.1.3.1 Finding the Absolute Value of a Number -- 4.1.4 STEP 4: Calculate the Formula for the One-Group t-Test -- 4.1.5 STEP 5: Find the Critical Value of t in the t-Table in Appendix E -- 4.1.6 STEP 6: State the Result of Your Statistical Test. 4.1.7 STEP 7: State the Conclusion of Your Statistical Test in Plain English! -- 4.2 One-Group t-Test for the Mean -- 4.3 Can You Use Either the 95% Confidence Interval About the Mean OR the One-Group t-Test When Testing Hypotheses? -- 4.4 End-of-Chapter Practice Problems -- References -- Chapter 5: Two-Group t-Test of the Difference of the Means for Independent Groups -- 5.1 The Nine STEPS for Hypothesis Testing Using the Two-Group t-Test -- 5.1.1 STEP 1: Name One Group, Group 1, and the Other Group, Group 2 -- 5.1.2 STEP 2: Create a Table That Summarizes the Sample Size, Mean Score, and Standard Deviation of Each Group -- 5.1.3 STEP 3: State the Null Hypothesis and the Research Hypothesis for the Two-Group t-Test -- 5.1.4 STEP 4: Select the Appropriate Statistical Test -- 5.1.5 STEP 5: Decide on a Decision Rule for the Two-Group t-Test -- 5.1.6 STEP 6: Calculate the Formula for the Two-Group t-Test -- 5.1.7 STEP 7: Find the Critical Value of t in the t-Table in Appendix E -- 5.1.7.1 Find the Degrees of Freedom (df) for the Two-Group t-Test -- 5.1.8 STEP 8: State the Result of Your Statistical Test -- 5.1.9 STEP 9: State the Conclusion of Your Statistical Test in Plain English! -- 5.1.9.1 Writing the Conclusion of the Two-Group t-Test When You Accept the Null Hypothesis -- 5.1.9.2 Writing the Conclusion of the Two-Group t-Test When You Reject the Null Hypothesis and Accept the Research Hypothesis -- 5.2 Formula #1: Both Groups Have a Sample Size Greater Than 30 -- 5.2.1 An Example of Formula #1 for the Two-Group t-Test -- 5.3 Formula #2: One or Both Groups Have a Sample Size Less Than 30 -- 5.4 End-of-Chapter Practice Problems -- References -- Chapter 6: Correlation and Simple Linear Regression -- 6.1 What Is a ``Correlation?´´ -- 6.1.1 Understanding the Formula for Computing a Correlation. 6.1.2 Understanding the Nine Steps for Computing a Correlation, r -- 6.2 Using Excel to Compute a Correlation Between Two Variables -- 6.3 Creating a Chart and Drawing the Regression Line onto the Chart -- 6.3.1 Using Excel to Create a Chart and the Regression Line Through the Data Points -- 6.3.1.1 Drawing the Regression Line Through the Data Points in the Chart -- 6.3.1.2 Moving the Chart Below the Table in the Spreadsheet -- 6.3.1.3 Making the Chart ``Longer´´ So That It Is ``Taller´´ -- 6.3.1.4 Making the Chart ``Wider´´ -- 6.4 Printing a Spreadsheet So That the Table and Chart Fit onto One Page -- 6.5 Finding the Regression Equation -- 6.5.1 Installing the Data Analysis ToolPak into Excel -- 6.5.1.1 Installing the Data Analysis ToolPak into Excel 2019 -- 6.5.1.2 Installing the Data Analysis ToolPak into Excel 2016 -- 6.5.1.3 Installing the Data Analysis ToolPak into Excel 2013 -- 6.5.2 Using Excel to Find the SUMMARY OUTPUT of Regression -- 6.5.2.1 Finding the y-Intercept, a, of the Regression Line -- 6.5.2.2 Finding the Slope, b, of the Regression Line -- 6.5.3 Finding the Equation for the Regression Line -- 6.5.4 Using the Regression Line to Predict the y-Value for a Given x-Value -- 6.6 Adding the Regression Equation to the Chart -- 6.7 How to Recognize Negative Correlations in the SUMMARY OUTPUT Table -- 6.8 Printing Only Part of a Spreadsheet Instead of the Entire Spreadsheet -- 6.8.1 Printing Only the Table and the Chart on a Separate Page -- 6.8.2 Printing Only the Chart on a Separate Page -- 6.8.3 Printing Only the SUMMARY OUTPUT of the Regression Analysis on a Separate Page -- 6.9 End-of-Chapter Practice Problems -- References -- Chapter 7: Multiple Correlation and Multiple Regression -- 7.1 Multiple Regression Equation -- 7.2 Finding the Multiple Correlation and the Multiple Regression Equation. 7.3 Using the Regression Equation to Predict FIRST-YEAR GPA -- 7.4 Using Excel to Create a Correlation Matrix in Multiple Regression -- 7.5 End-of-Chapter Practice Problems -- References -- Chapter 8: One-Way Analysis of Variance (ANOVA) -- 8.1 Using Excel to Perform a One-Way Analysis of Variance (ANOVA) -- 8.2 How to Interpret the ANOVA Table Correctly -- 8.3 Using the Decision Rule for the ANOVA F-Test -- 8.4 Testing for the Difference Between Two Groups Using the ANOVA t-Test -- 8.4.1 Comparing Clinic A vs. Clinic C in Time Required to Conduct an Initial Visit Using the ANOVA t-Test -- 8.4.1.1 Finding the Degrees of Freedom for the ANOVA t-Test -- 8.4.1.2 Stating the Decision Rule for the ANOVA t-Test -- 8.4.1.3 Performing an ANOVA t-Test Using Excel Commands -- 8.5 End-of-Chapter Practice Problems -- References -- Appendices -- Appendix A: Answers to End-of-Chapter Practice Problems -- Appendix B: Practice Test -- Appendix C: Answers to Practice Test -- Appendix D: Statistical Formulas -- Appendix E: t-Table -- Index. |
| Record Nr. | UNINA-9910483050803321 |
|
Quirk Thomas J.
|
||
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Multiple regression with discrete dependent variables [[electronic resource] /] / John G. Orme, Terri Combs-Orme
| Multiple regression with discrete dependent variables [[electronic resource] /] / John G. Orme, Terri Combs-Orme |
| Autore | Orme John G |
| Pubbl/distr/stampa | Oxford ; ; New York, : Oxford University Press, 2009 |
| Descrizione fisica | 1 online resource (225 p.) |
| Disciplina | 519.5 |
| Altri autori (Persone) | Combs-OrmeTerri |
| Collana | Pocket guides to social work research methods |
| Soggetto topico |
Social service - Statistical methods
Regression analysis |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9786611998509
1-281-99850-8 0-19-971629-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Contents; 1 Introduction to Regression Modeling; 2 Regression with a Dichotomous Dependent Variable; 3 Regression with a Polytomous Dependent Variable; 4 Regression with an Ordinal Dependent Variable; 5 Regression with a Count Dependent Variable; Glossary; B; C; D; E; F; G; H; I; L; M; N; O; P; R; S; T; V; Z; Appendix A: Description of Data Sets; Appendix B: Logarithms; References; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; R; S; T; U; V; W; Z |
| Record Nr. | UNINA-9910465082003321 |
|
Orme John G
|
||
| Oxford ; ; New York, : Oxford University Press, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Multiple regression with discrete dependent variables [[electronic resource] /] / John G. Orme, Terri Combs-Orme
| Multiple regression with discrete dependent variables [[electronic resource] /] / John G. Orme, Terri Combs-Orme |
| Autore | Orme John G |
| Pubbl/distr/stampa | Oxford ; ; New York, : Oxford University Press, 2009 |
| Descrizione fisica | 1 online resource (225 p.) |
| Disciplina | 519.5 |
| Altri autori (Persone) | Combs-OrmeTerri |
| Collana | Pocket guides to social work research methods |
| Soggetto topico |
Social service - Statistical methods
Regression analysis |
| ISBN |
9786611998509
1-281-99850-8 0-19-971629-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Contents; 1 Introduction to Regression Modeling; 2 Regression with a Dichotomous Dependent Variable; 3 Regression with a Polytomous Dependent Variable; 4 Regression with an Ordinal Dependent Variable; 5 Regression with a Count Dependent Variable; Glossary; B; C; D; E; F; G; H; I; L; M; N; O; P; R; S; T; V; Z; Appendix A: Description of Data Sets; Appendix B: Logarithms; References; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; R; S; T; U; V; W; Z |
| Record Nr. | UNINA-9910792220803321 |
|
Orme John G
|
||
| Oxford ; ; New York, : Oxford University Press, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Multiple regression with discrete dependent variables / / John G. Orme, Terri Combs-Orme
| Multiple regression with discrete dependent variables / / John G. Orme, Terri Combs-Orme |
| Autore | Orme John G |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Oxford ; ; New York, : Oxford University Press, 2009 |
| Descrizione fisica | 1 online resource (225 p.) |
| Disciplina | 519.5 |
| Altri autori (Persone) | Combs-OrmeTerri |
| Collana | Pocket guides to social work research methods |
| Soggetto topico |
Social service - Statistical methods
Regression analysis |
| ISBN |
9786611998509
1-281-99850-8 0-19-971629-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Contents; 1 Introduction to Regression Modeling; 2 Regression with a Dichotomous Dependent Variable; 3 Regression with a Polytomous Dependent Variable; 4 Regression with an Ordinal Dependent Variable; 5 Regression with a Count Dependent Variable; Glossary; B; C; D; E; F; G; H; I; L; M; N; O; P; R; S; T; V; Z; Appendix A: Description of Data Sets; Appendix B: Logarithms; References; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; R; S; T; U; V; W; Z |
| Record Nr. | UNINA-9910817276903321 |
|
Orme John G
|
||
| Oxford ; ; New York, : Oxford University Press, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistics and data interpretation for social work / / James A. Rosenthal
| Statistics and data interpretation for social work / / James A. Rosenthal |
| Autore | Rosenthal James Aaron |
| Edizione | [1st edition.] |
| Pubbl/distr/stampa | New York, NY : , : Springer Publishing Company, LLC, , [2012] |
| Descrizione fisica | 1 online resource (xvii, 485 pages) ; : illustrations |
| Disciplina | 519.5 |
| Soggetto topico |
Social sciences - Statistical methods
Social service - Statistical methods Social sciences - Research Statistics |
| ISBN |
9780826107213
9780826107206 1-280-12878-X 9786613532664 0-8261-0721-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
PART I: Introduction and descriptive statistics. Introduction and overview -- Data presentation -- Central tendency -- Measures of variability -- Shape of distribution -- The concept of relationship and relationship between categorical variables -- The odds ratio and other measures for categorical variables -- Correlation and regression -- Standardized mean difference -- Research design and causality -- Controlling for confounding variables --
PART II: Inferential statistics and data interpretation. An introduction to inferential statistics -- Confidence intervals for means and proportions -- The logic of statistical significance tests -- The large sample test of the mean and new concepts -- Statistical power and selected topics -- The t distribution and one-sample procedures for means -- Independent samples t test and dependent samples t test -- One-sample tests of proportions -- The chi-square test of independence -- Analysis of variance -- More significance tests and reasoning with test results -- An overview of selected multivariate procedures -- Generalizability, importance, and a data interpretation model. |
| Record Nr. | UNINA-9910778904203321 |
|
Rosenthal James Aaron
|
||
| New York, NY : , : Springer Publishing Company, LLC, , [2012] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistics and data interpretation for social work / / James A. Rosenthal
| Statistics and data interpretation for social work / / James A. Rosenthal |
| Autore | Rosenthal James Aaron |
| Edizione | [1st edition.] |
| Pubbl/distr/stampa | New York, NY : , : Springer Publishing Company, LLC, , [2012] |
| Descrizione fisica | 1 online resource (xvii, 485 pages) ; : illustrations |
| Disciplina | 519.5 |
| Soggetto topico |
Social sciences - Statistical methods
Social service - Statistical methods Social sciences - Research Statistics |
| ISBN |
9780826107213
9780826107206 1-280-12878-X 9786613532664 0-8261-0721-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
PART I: Introduction and descriptive statistics. Introduction and overview -- Data presentation -- Central tendency -- Measures of variability -- Shape of distribution -- The concept of relationship and relationship between categorical variables -- The odds ratio and other measures for categorical variables -- Correlation and regression -- Standardized mean difference -- Research design and causality -- Controlling for confounding variables --
PART II: Inferential statistics and data interpretation. An introduction to inferential statistics -- Confidence intervals for means and proportions -- The logic of statistical significance tests -- The large sample test of the mean and new concepts -- Statistical power and selected topics -- The t distribution and one-sample procedures for means -- Independent samples t test and dependent samples t test -- One-sample tests of proportions -- The chi-square test of independence -- Analysis of variance -- More significance tests and reasoning with test results -- An overview of selected multivariate procedures -- Generalizability, importance, and a data interpretation model. |
| Record Nr. | UNINA-9910826247203321 |
|
Rosenthal James Aaron
|
||
| New York, NY : , : Springer Publishing Company, LLC, , [2012] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistics and data interpretation for social work [[electronic resource] /] / James A. Rosenthal
| Statistics and data interpretation for social work [[electronic resource] /] / James A. Rosenthal |
| Autore | Rosenthal James A |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | New York, : Springer, c2011 |
| Descrizione fisica | 1 online resource (490 p.) |
| Disciplina | 519.5 |
| Soggetto topico |
Social sciences - Statistical methods
Social service - Statistical methods Social sciences - Research Statistics |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-12878-X
9786613532664 0-8261-0721-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction and descriptive statistics -- Introduction and overview -- Data presentation -- Central tendency -- Measures of variability -- Shape of distribution -- The concept of relationship and relationship between categorical variables -- The odds ratio and other measures for categorical variables -- Correlation and regression -- Standardized mean difference -- Research design and causality -- Controlling for confounding variables. |
| Record Nr. | UNINA-9910457393103321 |
|
Rosenthal James A
|
||
| New York, : Springer, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistics for international social work and other behavioral sciences / / Serge C. Lee [and three others]
| Statistics for international social work and other behavioral sciences / / Serge C. Lee [and three others] |
| Autore | Lee Serge C. |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | New York, New York : , : Oxford University Press, , 2016 |
| Descrizione fisica | 1 online resource (241 p.) |
| Disciplina | 519.5 |
| Soggetto topico |
Social service - Statistical methods
Social sciences - Statistical methods |
| ISBN |
0-19-937957-2
0-19-937956-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
2. Variables, Levels of Measurement, and Ethical ResponsibilitiesOverview; Variables; What is a Variable?; Variable Value and Value Category; Variable Classification; Types of Variables; Two Types of Data; Quantitative Data; Qualitative Data; Levels of Measurement; Nominal Variable (Nominal Data); Ordinal-Level Variable (Ordinal Data); Interval-Level Variable (Interval Data); Ratio-Level Variable (Ratio Data); Ethical Issues in Social Science Research and Statistics; Informed Consent; Anonymity; Confidentiality; Sensitive Information; Reliability and Validity; Summary
The VarianceThe Standard Deviation; Coefficient of Variation; Summary; Study Questions; Answers to Study Questions; 5. Normal Distribution and Z Score; Overview; Background of the Normal Distribution; Properties of the Normal Curve; Areas Under the Normal Curve; Understanding the Z Score; Calculate the Z Score and Convert to Percentile Rank; Additional Note About the Z Score; Summary; Study Questions; Answers to Study Questions; 6. Probability and Hypothesis Testing; Overview; Population and Sample; Population; Sample; Probability and Sampling Distribution of Mean; Probability Alternative Explanations |
| Record Nr. | UNINA-9910797861503321 |
|
Lee Serge C.
|
||
| New York, New York : , : Oxford University Press, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistics for international social work and other behavioral sciences / / Serge C. Lee [and three others]
| Statistics for international social work and other behavioral sciences / / Serge C. Lee [and three others] |
| Autore | Lee Serge C. |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | New York, New York : , : Oxford University Press, , 2016 |
| Descrizione fisica | 1 online resource (241 p.) |
| Disciplina | 519.5 |
| Soggetto topico |
Social service - Statistical methods
Social sciences - Statistical methods |
| ISBN |
0-19-937957-2
0-19-937956-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
2. Variables, Levels of Measurement, and Ethical ResponsibilitiesOverview; Variables; What is a Variable?; Variable Value and Value Category; Variable Classification; Types of Variables; Two Types of Data; Quantitative Data; Qualitative Data; Levels of Measurement; Nominal Variable (Nominal Data); Ordinal-Level Variable (Ordinal Data); Interval-Level Variable (Interval Data); Ratio-Level Variable (Ratio Data); Ethical Issues in Social Science Research and Statistics; Informed Consent; Anonymity; Confidentiality; Sensitive Information; Reliability and Validity; Summary
The VarianceThe Standard Deviation; Coefficient of Variation; Summary; Study Questions; Answers to Study Questions; 5. Normal Distribution and Z Score; Overview; Background of the Normal Distribution; Properties of the Normal Curve; Areas Under the Normal Curve; Understanding the Z Score; Calculate the Z Score and Convert to Percentile Rank; Additional Note About the Z Score; Summary; Study Questions; Answers to Study Questions; 6. Probability and Hypothesis Testing; Overview; Population and Sample; Population; Sample; Probability and Sampling Distribution of Mean; Probability Alternative Explanations |
| Record Nr. | UNINA-9910822353303321 |
|
Lee Serge C.
|
||
| New York, New York : , : Oxford University Press, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
