LEADER 01734nam0 22002773i 450 001 996296249803316 005 20190614123029.0 010 $a978-88-85493-47-6 100 $a20190529d2019----||||0itac50 ba 101 $aita$ceng 102 $aIT 200 1 $aPerchè$ela logica nascosta delle nostre motivazioni$fDan Ariely 210 $aMacerata$cRoi edizioni$d2019 215 $a140 p.$cill.$d22 cm 330 1 $aÈ più motivante una pizza, un bel complimento o un aumento di stipendio? Nel lavoro (e non solo) spesso ci illudiamo di sapere come motivare gli altri (e anche noi stessi). Ma cos'è che spinge veramente le persone ad agire? Quali sono le leve per influenzarle positivamente? Come ci mostra Dan Ariely, non sempre la risposta che abbiamo è quella giusta e il rischio di demotivare qualcuno è sempre dietro l'angolo, soprattutto se, come spesso accade, riduciamo il tutto a una questione economica. In questo libro, che riprende e approfondisce il suo celebre discorso Ted, Ariely ci fornisce esempi tratti dalla sua esperienza e i risultati di affascinanti esperimenti sociali con strumenti originali come i Lego e gli origami. Passo dopo passo emerge una chiara evidenza: se riusciamo a mettere in discussione la visione tradizionale del lavoro, un retaggio dell'era industriale ancora considerato da molti come una verità indiscussa, ci renderemo conto che il significato che attribuiamo a ciò che facciamo, [...] 500 10$aPayoff$91557099 606 0 $aMotivazioni$2BNCF 676 $a153.8 700 1$aARIELY,$bDan$0604426 801 0$aIT$bsalbc$gISBD 912 $a996296249803316 951 $aP10 1083$b521 DISA 959 $aBK 969 $aDISTRA 996 $aPayoff$91557099 997 $aUNISA LEADER 00784nam0-22003011i-450 001 990005940970403321 005 20220926104842.0 035 $a000594097 035 $aFED01000594097 035 $a(Aleph)000594097FED01 035 $a000594097 100 $a19980601d1957----km-y0itay50------ba 101 0 $aeng 102 $aGB 105 $a--------00-yy 200 1 $aFraud in Equity$eA Study in English and irish law$fL.A. SHERIDAN 210 $aLondon$cIsaac Pitman$d1957 215 $a235 p.$d22 cm 676 $a345 700 1$aSheridan,$bL.A.$0225811 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a990005940970403321 952 $aXII D 180$b52261$fFGBC 959 $aFGBC 996 $aFraud in Equity$9587096 997 $aUNINA DB $aGIU01 LEADER 00757nam a2200217 i 4500 001 991000120159707536 005 20020506122322.0 008 990608s1968 us ||| | fre 035 $ab10656455-39ule_inst 035 $aEXGIL139847$9ExL 040 $aBiblioteca Interfacoltà$bita 100 1 $aVilley, Pierre$0329524 245 14$aLes sources et l'evolution 260 $aNew York :$bFranklin,$c1968 300 $a2 v. ;$c21 cm. 907 $a.b10656455$b02-04-14$c28-06-02 912 $a991000120159707536 945 $aLE002 Fondo Giudici M 940-941$g1$iLE002G-940-941$lle002$o-$pE0.00$q-$rn$so $t0$u0$v0$w0$x0$y.i10746237$z28-06-02 996 $aSources et l'evolution$9915621 997 $aUNISALENTO 998 $ale002$b01-01-99$cm$da $e-$ffre$gus $h4$i1 LEADER 07165nam 2200829Ia 450 001 9910957887703321 005 20251202165339.0 010 $a1-136-66345-2 010 $a1-299-69326-1 010 $a1-136-66346-0 010 $a0-203-80764-2 024 7 $a10.4324/9780203807644 035 $a(CKB)2550000000099339 035 $a(EBL)957904 035 $a(OCoLC)798531638 035 $a(SSID)ssj0000679262 035 $a(PQKBManifestationID)11405313 035 $a(PQKBTitleCode)TC0000679262 035 $a(PQKBWorkID)10609633 035 $a(PQKB)11742691 035 $a(Au-PeEL)EBL957904 035 $a(CaPaEBR)ebr10545578 035 $a(CaONFJC)MIL500577 035 $a(OCoLC)787851250 035 $a(FINmELB)ELB139153 035 $a(OCoLC)1102388527 035 $a(OCoLC-P)1102388527 035 $a(FlBoTFG)9780203807644 035 $a(CaSebORM)9781848728394 035 $a(MiAaPQ)EBC957904 035 $a(PPN)184951399 035 $a(EXLCZ)992550000000099339 100 $a20110622d2012 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStructural equation modeling with Mplus $ebasic concepts, applications, and programming /$fBarbara M. Byrne 205 $a1st edition 210 $aNew York $cRoutledge$dc2012 215 $a1 online resource (431 p.) 225 1 $aMultivariate applications series 300 $aDescription based upon print version of record. 311 08$a1-84872-839-5 (OCoLC)298781446 311 08$a0-8058-5986-1 320 $aIncludes bibliographical references and indexes. 327 $aStructural Equation Modeling with Mplus Basic Concepts, Applications, and Programming; Copyright; Contents; Preface; Acknowledgments; Section I: Introduction; Chapter 1 Structural Equation Models: The Basics; Basic Concepts; The General Structural Equation Model; The General Mplus Structural Equation Model; Notes; Chapter 2 Using the Mplus Program; Mplus Notation and Input File Components and Structure; The Mplus Language Generator; Model Specification From Two Perspectives; The Concept of Model Identification; Overview of Remaining Chapters; Notes; Section II: Single-Group Analyses 327 $aChapter 3 Testing the Factorial Validity of a Theoretical Construct: First-Order Confirmatory Factor Analysis ModelThe Hypothesized Model; Mplus Input File Specification and Output File Results; Hypothesis 2: Self-Concept Is a Two-Factor Structure; Mplus Input File Specification and Output File Results; Hypothesis 3: Self-Concept Is a One-Factor Structure; Notes; Chapter 4 Testing the Factorial Validity of Scores From a Measuring Instrument: First-Order Confirmatory Factor Analysis Model; The Measuring Instrument Under Study; The Hypothesized Model 327 $aMplus Input File Specification and Output File ResultsNotes; Addendum; Chapter 5 Testing the Factorial Validity of Scores From a Measuring Instrument: Second-Order Confirmatory Factor Analysis Model; The Hypothesized Model; Analysis of Categorical Data; Mplus Input File Specification and Output File Results; Notes; Chapter 6 Testing the Validity of a Causal Structure: Full Structural Equation Model; The Hypothesized Model; Mplus Input File Specification and Output File Results; Post Hoc Analyses; Notes; Section III: Multiple-Group Analyses 327 $aChapter 7 Testing the Factorial Equivalence of a Measuring Instrument: Analysis of Covariance StructuresTesting Multigroup Invariance: The General Notion; Testing Multigroup Invariance Across Independent Samples; The Hypothesized Model; Mplus Input File Specification and Output File Results; Notes; Chapter 8 Testing the Equivalence of Latent Factor Means: Analysis of Mean and Covariance Structures; Testing Latent Mean Structures: The Basic Notion; The Hypothesized Model; Testing Multigroup Invariance; Mplus Input File Specification and Output File Results 327 $aTesting Multigroup Invariance: Other ConsiderationsNotes; Chapter 9 Testing the Equivalence of a Causal Structure: Full Structural Equation Model; Cross-Validation in Structural Equation Modeling; Testing Invariance Across Calibration and Validation Samples; The Hypothesized Model; Mplus Input File Specification and Output File Results; Notes; Section IV: Other Important Topics; Chapter 10 Testing Evidence of Construct Validity: The Multitrait-Multimethod Model; The General CFA Approach to MTMM Analyses; The Hypothesized Model; Mplus Input File Specification and Output File Results 327 $aExamining Evidence of Construct Validity at the Matrix Level 330 $aModeled after Barbara Byrne's other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using M plus Versions 5 & 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author "walks" the reader through all steps involved in testing the SEM model including: an explanation of the issues addressed illustrated and annotated testing of the hypothesized and post hoc models explanation and interpretation of all M plus input and output files important caveats pertinent to the SEM application under study a description of the data and reference upon which the model was based the corresponding data and syntax files available at http://www.psypress.com/sem-with-mplus/datasets . The first two chapters introduce the fundamental concepts of SEM and important basics of the M plus program. The remaining chapters focus on SEM applications and include a variety of SEM models presented within the context of three sections: Single-group analyses, Multiple-group analyses, and other important topics, the latter of which includes the multitrait-multimethod, latent growth curve, and multilevel models. Intended for researchers, practitioners, and students who use SEM and M plus, this book is an ideal resource for graduate level courses on SEM taught in psychology, education, business, and other social and health sciences and/or as a supplement for courses on applied statistics, multivariate statistics, intermediate or advanced statistics, and/or research design. Appropriate for those with limited exposure to SEM or M plus, a prerequisite of basic statistics through regression analysis is recommended. 410 0$aMultivariate applications book series. 606 $aStructural equation modeling 606 $aMultivariate analysis 606 $aSocial sciences$xStatistical methods 615 0$aStructural equation modeling. 615 0$aMultivariate analysis. 615 0$aSocial sciences$xStatistical methods. 676 $a519.5/3 686 $aPSY032000$aEDU027000$aSOC027000$2bisacsh 700 $aByrne$b Barbara M$0103042 712 02$aSafari, an O'Reilly Media Company. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910957887703321 996 $aStructural equation modeling with Mplus$94461740 997 $aUNINA