LEADER 02364nam0 22003613i 450 001 VAN0107391 005 20221128045655.578 010 $a978-11-389-0545-0 010 $a978-13-17-44362-9 010 $a978-13-17-44363-6 100 $a20170119d2016 |0itac50 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 200 1 $aLeadership$efinding balance between ambition and acceptance$fJoan Marques 210 $aNew York$cRoutledge$d2016 215 $aXIII, 250 p.$cill.$d24 cm 330 $aLeadership argues that finding satisfaction and sanity at work requires the development of both ambition and acceptance. While these traits seem to be at odds with one another, Marques shows that each one has positive and negative elements and the trick is balancing the useful aspects of each to maximize success. The book defines this balance and its relationship to success, featuring real-world examples, useful diagrams, and cases to encourage students to reflect on how to apply these principles to their own lives. Laying the foundation for understanding the need to develop both ambition and acceptance, and providing the context for what performance means in modern times, Marques presents a framework for growing in one's own career. Students learn how to evaluate competing impulses, and how to make critical decisions to define career success. Students of career development, leadership and organizational behavior classes will appreciate its grounded, engaging writing style. 606 $aExecutive ability$3VANC032862$2EC 606 $aLeadership$3VANC032863$2EC 606 $aCareer development$3VANC032864$2EC 620 $aUS$dNew York$3VANL000011 676 $a658.4$v21 700 1$aMarques$bJoan$3VANV082905$0721080 712 $aRoutledge$3VANV108268$4650 801 $aIT$bSOL$c20221202$gRICA 856 4 $uhttp://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1286927$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI ECONOMIA$1IT-CE0106$2VAN03 912 $fN 912 $aVAN0107391 950 $aBIBLIOTECA DEL DIPARTIMENTO DI ECONOMIA$d03CONS e-book(1286927) $e03BDE563 20170119 $sBuono 996 $aLeadership$91412599 997 $aUNISOB LEADER 05825oam 22007935 450 001 9910961030003321 005 20240505164017.0 010 $a9786612450747 010 $a9781282450745 010 $a1282450743 010 $a9780821380291 010 $a082138029X 024 7 $a10.1596/978-0-8213-8028-4 035 $a(CKB)2520000000008046 035 $a(EBL)476187 035 $a(OCoLC)536293912 035 $a(SSID)ssj0000087263 035 $a(PQKBManifestationID)11980776 035 $a(PQKBTitleCode)TC0000087263 035 $a(PQKBWorkID)10052874 035 $a(PQKB)11465206 035 $a(MiAaPQ)EBC476187 035 $a(Au-PeEL)EBL476187 035 $a(CaPaEBR)ebr10369843 035 $a(CaONFJC)MIL245074 035 $a(The World Bank)ocn367418768 035 $a(US-djbf)15754583 035 $a(Perlego)1483797 035 $a(EXLCZ)992520000000008046 100 $a20090529d2010 uf 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHandbook on impact evaluation : $equantitative methods and practices /$fShahidur R. Khandker, Gayatri B. Koolwal, Hussain A. Samad 205 $a1st ed. 210 1$aWashington, D.C. :$cWorld Bank,$dc2010. 215 $axx, 239 pages $cillustrations ;$d26 cm 300 $aDescription based upon print version of record. 311 08$a9780821380284 311 08$a0821380281 320 $aIncludes bibliographical references and index. 327 $aContents; Foreword; Preface; About the Authors; Abbreviations; Part 1 Methods and Practices; Figure 2.1 Monitoring and Evaluation Framework; Box 2.1 Case Study: PROGRESA (Oportunidades) in Mexico; Box 2.2 Case Study: Assessing the Social Impact of Rural Energy Services in Nepal; Figure 2.A Levels of Information Collection and Aggregation; Figure 2.B Building up of Key Performance Indicators: Project Stage Details; Box 2.3 Case Study: The Indonesian Kecamatan Development Project; Box 2.4 Case Study: Monitoring the Nutritional Objectives of the FONCODES Project in Peru 327 $aBox 2.5 Case Study: Mixed Methods in Quantitative and Qualitative ApproachesBox 2.6 Case Study: An Example of an Ex Ante Evaluation; Figure 2.2 Evaluation Using a With-and-Without Comparison; Figure 2.3 Evaluation Using a Before-and-After Comparison; Figure 3.1 The Ideal Experiment with an Equivalent Control Group; Box 3.1 Case Study: PROGRESA (Oportunidades); Box 3.2 Case Study: Using Lotteries to Measure Intent-to-Treat Impact; Box 3.3 Case Study: Instrumenting in the Case of Partial Compliance; Box 3.4 Case Study: Minimizing Statistical Bias Resulting from Selective Attrition 327 $aBox 3.5 Case Study: Selecting the Level of Randomization to Account for SpilloversBox 3.6 Case Study: Measuring Impact Heterogeneity from a Randomized Program; Box 3.7 Case Study: Effects of Conducting a Baseline; Box 3.8 Case Study: Persistence of Unobserved Heterogeneity in a Randomized Program; Figure 4.1 Example of Common Support; Figure 4.2 Example of Poor Balancing and Weak Common Support; Box 4.1 Case Study: Steps in Creating a Matched Sample of Nonparticipants to Evaluate a Farmer-Field-School Program; Box 4.2 Case Study: Use of PSM and Testing for Selection Bias 327 $aBox 4.3 Case Study: Using Weighted Least Squares Regression in a Study of the Southwest China Poverty Reduction ProjectFigure 5.1 An Example of DD; Box 5.1 Case Study: DD with Panel Data and Repeated Cross-Sections; Figure 5.2 Time-Varying Unobserved Heterogeneity; Box 5.2 Case Study: Accounting for Initial Conditions with a DD Estimator-Applications for Survey Data of Varying Lengths; Box 5.3 Case Study: PSM with DD; Box 5.4 Case Study: Triple-Difference Method-Trabajar Program in Argentina; Box 6.1 Case Study: Using Geography of Program Placement as an Instrument in Bangladesh 327 $aBox 6.2 Case Study: Different Approaches and IVs in Examining the Effects of Child Health on Schooling in GhanaBox 6.3 Case Study: A Cross-Section and Panel Data Analysis Using Eligibility Rules for Microfinance Participation in Bangladesh; Box 6.4 Case Study: Using Policy Design as Instruments to Study Private Schooling in Pakistan; Figure 7.1 Outcomes before Program Intervention; Figure 7.2 Outcomes after Program Intervention; Box 7.1 Case Study: Exploiting Eligibility Rules in Discontinuity Design in South Africa; Figure 7.3 Using a Tie-Breaking Experiment 327 $aFigure 7.4 Multiple Cutoff Points 330 $aPublic programs are designed to reach certain goals and beneficiaries. Methods to understand whether such programs actually work, as well as the level and nature of impacts on intended beneficiaries, are main themes of this book. Has the Grameen Bank, for example, succeeded in lowering consumption poverty among the rural poor in Bangladesh? Can conditional cash transfer programs in Mexico and Latin America improve health and schooling outcomes for poor women and children? Does a new road actually raise welfare in a remote area in Tanzania, or is it a ""highway to nowhere?"" This book reviews q 410 0$aWorld Bank e-Library. 606 $aEconomic development projects$xEvaluation 606 $aEconomic assistance$xEvaluation 615 0$aEconomic development projects$xEvaluation. 615 0$aEconomic assistance$xEvaluation. 676 $a338.90072 700 $aKhandker$b Shahidur R$0877451 701 $aKoolwal$b Gayatri B$01812080 701 $aSamad$b Hussain A.$f1963-$01812081 801 0$bDLC 801 1$bDLC 801 2$bBTCTA 801 2$bUKM 801 2$bC#P 801 2$bDLC 906 $aBOOK 912 $a9910961030003321 996 $aHandbook on impact evaluation$94364353 997 $aUNINA LEADER 03952nam 22007575 450 001 9910647396003321 005 20250610124005.0 010 $a3-031-11833-2 024 7 $a10.1007/978-3-031-11833-3 035 $a(MiAaPQ)EBC7188465 035 $a(Au-PeEL)EBL7188465 035 $a(CKB)26076434900041 035 $a(DE-He213)978-3-031-11833-3 035 $a(PPN)267811020 035 $a(EXLCZ)9926076434900041 100 $a20230130d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntroduction to Statistics and Data Analysis $eWith Exercises, Solutions and Applications in R /$fby Christian Heumann, Michael Schomaker, Shalabh 205 $a2nd ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (584 pages) 311 08$aPrint version: Heumann, Christian Introduction to Statistics and Data Analysis Cham : Springer International Publishing AG,c2023 9783031118326 320 $aIncludes bibliographical references and index. 327 $aPart I Descriptive Statistics: Introduction and Framework -- Frequency Measures and Graphical Representation of Data -- Measures of Central Tendency and Dispersion -- Association of Two Variables -- Part I Probability Calculus: Combinatorics -- Elements of Probability Theory -- Random Variables -- Probability Distributions -- Part III Inductive Statistics: Inference -- Hypothesis Testing -- Linear Regression -- Logistic Regression -- Part IV Additional Topics Simple Random Sampling and Bootstrapping -- Causality -- Part V Appendices: Introduction to R -- Solutions to Exercises -- Technical Appendix -- Visual Summaries. 330 $aNow in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. This revised and extended edition features new chapters on logistic regression, simple random sampling, including bootstrapping, and causal inference. The text is primarily intended for undergraduate students in disciplines such as business administration, the social sciences, medicine, politics, and macroeconomics. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R, as well as supplementary material that will enable the reader to quickly adapt the methods to their own applications. 606 $aStatistics 606 $aQuantitative research 606 $aStatistics 606 $aStatistics$xComputer programs 606 $aStatistical Theory and Methods 606 $aData Analysis and Big Data 606 $aApplied Statistics 606 $aStatistical Software 606 $aEstadística$2thub 606 $aEconometria$2thub 606 $aMacroeconomia$2thub 606 $aR (Llenguatge de programació)$2thub 608 $aLlibres electrònics$2thub 615 0$aStatistics. 615 0$aQuantitative research. 615 0$aStatistics. 615 0$aStatistics$xComputer programs. 615 14$aStatistical Theory and Methods. 615 24$aData Analysis and Big Data. 615 24$aApplied Statistics. 615 24$aStatistical Software. 615 7$aEstadística 615 7$aEconometria 615 7$aMacroeconomia 615 7$aR (Llenguatge de programació) 676 $a330.015195 676 $a519.5 700 $aHeumann$b Christian$f1962-$01351244 702 $aSchomaker$b Michael 702 $aShalabh 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910647396003321 996 $aIntroduction to Statistics and Data Analysis$93091262 997 $aUNINA