RISULTATI RICERCA

Consumption has always been made of material things. On an archetypal level, it is possession; and possession presupposes something tangible. It was like this until a few years ago, before that new forms and structural components of consumption started moving away from their original physical dimension and losing portions of materiality. With Internet, the entire consumption process has become virtual. Both society and economy, which are becoming virtual as well, find in the Web not only a natural sphere of development, but also an opportunity to test innovative models. Models that rely on the absence or reduction of the most important traits of consumer materiality.

Building on the formula of "Figure of Merit" used in technology studies, this work aims at findings analogism in place marketing by presenting "Figure of Merit for Places"; the identified formula represents the possible decision making algorithm that the cluster of Digital Nomads could use to choose a place to live for a period of life. The framework is useful both to place marketers and managers - identifying value proposition and the cost-of-living and cost for accessibility - and to the place demand - discovering the benefits to choose a place to live for a period. The analogism comes from the opportunity to study the Digital Nomads (DNs) that are emerging as a maximizer cluster. They live for different periods in different territories respecting the places and diffusing traditions, cultures, impressions and e xperiences; these characteristics stimulate the place marketing activities of the territories (demand driven) and contribute, indirectly, to place branding strategies (supply driven).

Problemi e soluzioni per lo scaling unidimensionale The first task in the construction of an unidimensional scaling is to assemble a set of stimuli which might work together to define one common line of inquiry. The second task is to choose a format for recording responses to these stimuli. When this situation arises, then there is the problem that row scores are expressed on a distorted scale. This paper underlines how rectify this transforming row scores to a logit metric.

In analyses of test data according to traditional test theory, the emphasis is on item and sample statistics calculated in terms of raw score: probably the best known of these statistics are the KR-20, KR-21, Cronbach’s alpha and Split-half indices of internal consistency. In most cases, these index are equal. In contrast, the emphasis in latent trait theory is on item and person parameter estimates and on variances of these estimates. From the point of view of latent trait theory using the Montecarlo method and Rasch simple logistic model, it is shown that KR-20, KR-21, Cronbach’s alpha and Split-half are still equal.

In psychosocial field numbers come as counts, scores and ranks (raw score more usually) are often mistaken for measures and then misused in statistical analyses for which they are quite unsuited. Some of this kind of number are merely labels. When we use numbers to compare outcomes, we do arithmetic with them: arithmetic done with numerical labels makes nonsense. For corrects data analysis, it must be done with equal interval, constant unit and linear measures. This paper report how we can do (in psychosocial field) to transform raw score in fundamental measurement.

In Psycho-Social studies, the semantic differential is one of the most used measurement instruments. It is used in order to collect data from persons answering the items of tests and questionnaires. There are many advantage in the use of this kind of tool. On the other hand the problem of the indefensible equivalence among the semantic differential intervals arises. This paper suggests a solution: through a random sample experiment (Montecarlo method) it is possible to estimate how the achieved results change in relation to variations of its intervals, by using a standard semantic differential. If the difference among intervals is not more that ± 10%, the semantic differential can be considered a good appraisal instrument.

Esistono in campo psico-sociale, tecniche psicofisiche per la quantificazione l’informazione che, godendo di pregevoli qualità metrico-matematiche, permettono di sostituire, in termini valutativi, il poco scientifico “buon senso” con il più rigo-roso metodo sperimentale, rimpiazzando il termine “valutare”, con il più preciso “misurare” (nelle Scienze matematiche, “valutazione” e “misurazione” sono sepa-rate da un abisso). Ciononostante, si registra nella realtà dei fatti, la tendenza all'a-dozione di procedure poco corrette, quasi sempre per paura di sbilanciarsi nell'uti-lizzo di tecniche poco abituali, o ritenute troppo complesse. Nel presente articolo si intende proporre una introduzione alla psicofisica sottostante ai modelli di Rasch nell’ambito di un sistema di valutazione: sperimentalmente verrà confrontato l’esempio di una graduatoria di merito ottenuta in base al solo “buon senso” e la stessa rielaborata secondo la procedure logistica di seguito proposta. La base dati è un campione di 940 soggetti (55% maschi e 45% femmine di età compresa tra i 20 ed i 35 anni) a cui è stato somministrato un questionario volto alla misura del grado di conoscenza in campo medico. I risultati mostrano un disaccordo del 98% tra le graduatorie ottenute coi due metodi.