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ANALISI DELL’ERRORE DI CAMPIONAMENTO Gli elementi che possono smentire una previsione elettorale. Un caso pratico: le elezioni regionali 2010
Composizione degli errori nelle indagini campionarie e in quelle esaustive ,[object Object],[object Object],[object Object],[object Object]
Aspetti Critici di interesse Casualita’ e Rappresentativita’ ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Estrazione casuale degli intervistati come condizione necassaria ma non sufficiente  affinche’ il campione finale sia relamente casuale Rappresentativita Le “Non risposte” e le “Caduta di contatti” formano un gruppo di persone non omogeneo a quello dei rispondenti. Le mancate risposte sono spesso correlate in modo significativo fra di loro. Ulteriori Aspetti ,[object Object],[object Object],[object Object]
Oggetto e Strumenti di Analisi ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Le Ipotesi di Ricerca ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
La precisione della stima:  calcolo dell’errore standard  ,[object Object],[object Object],[object Object],Pallini: Risultati finali Linee: intervallo ES ES: errore che si commette nel prevedere un fenomeno nella sua totalita’,  in termini assoluti e con la medesima unita’ di misurazione del fenomeno di riferimanto
La precisione della stima:  calcolo del Coefficiente di Variazione ,[object Object],[object Object],[object Object],[object Object],CdV o Deviazione St: indice dell’errore relativo di una stima, ne indica la precisione calcolandone l’ammontare di errore. Secondo la formula impiegata si ottengono stime piu’ puntuali con campioni maggiori e per i partiti che nei sondaggi ottengono  poche preferenze, quindi percentuali basse, il CdV sara’ molto piu’ alto che per i partiti di medie o grandi dimensioni
Indice di dissimilarita’: evidenze empiriche ,[object Object],[object Object],[object Object],[object Object],INDICE DI DISSIMILARITA’: rappresenta la percentuale di voti che muta (che passa da un partito all’altro)  fra la previsione e la consultazione
Analisi dello scarto fra la previsone  e il risultato finale Spunti ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Analisi dello scarto fra la previsone  e il risultato finale Conclusioni ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Analisi Dell Errore Di Campionamento

  • 1. ANALISI DELL’ERRORE DI CAMPIONAMENTO Gli elementi che possono smentire una previsione elettorale. Un caso pratico: le elezioni regionali 2010
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