Solution Manual Digital Telephony 3rd Ed John Bellamy 23
different strategies that predict personality, course, and outcome by serial correlations. regression analysis demonstrated personality characteristics as predictors of success in other science courses in the same general class (e.g., classwork grade, gpa, course work grade), usually but not always with a negative correlation. a person’s success in one course could predict success in other science courses that were taught in the same laboratory section; thus, a substandard course could predict poor performance in other courses in the same section.
search strategies that predict ‘findability’ are widely used in scientific inquiry and in information technology. search strategies are used in iterative information retrieval (rieffe and niblack 1992) and in addition to the approaches reported here are used to rapidly search massive electronic text repositories such as world wide web; (e.g., where documents are categorized by subject or classified in a category). the search strategies that underlie a navigation search appear to be similar to those that underlie the search used to locate a record in a text repository. of course, the records found in a text repository are usually not indexed by subject or category, so a search strategies based on those aids are helpful in that context. in hci, however, the records are often indexed (e., by category), which is why the subject-, category- and language-based search strategies are more useful. search strategies based on language have been developed in a number of different contexts. searches among people have shown that people search more among names than among other pieces of information (e., ripley 2005). basic skills have been discovered (e., donaldson and duncan 1999), as have language-specific biases (eckstein et al. 2008), and agreement effects for people searching for information in science texts (burke et al. 2003). search strategies for information retrieval have been evaluated by informed experts (isenberg et al. 1991) and to a lesser degree in computer-based hci (e., rosario et al. 2006; eickholt et al. 1996).
different strategies that predict personality, course, and outcome by serial correlations. regression analysis demonstrated personality characteristics as predictors of success in other science courses in the same general class (e.g., classwork grade, gpa, course work grade), usually but not always with a negative correlation. a person’s success in one course could predict success in other science courses that were taught in the same laboratory section; thus, a substandard course could predict poor performance in other courses in the same section.
search strategies that predict ‘findability’ are widely used in scientific inquiry and in information technology. search strategies are used in iterative information retrieval (rieffe and niblack 1992) and in addition to the approaches reported here are used to rapidly search massive electronic text repositories such as world wide web; (e.g., where documents are categorized by subject or classified in a category). the search strategies that underlie a navigation search appear to be similar to those that underlie the search used to locate a record in a text repository. of course, the records found in a text repository are usually not indexed by subject or category, so a search strategies based on those aids are helpful in that context. in hci, however, the records are often indexed (e., by category), which is why the subject-, category- and language-based search strategies are more useful. search strategies based on language have been developed in a number of different contexts. searches among people have shown that people search more among names than among other pieces of information (e., ripley 2005). basic skills have been discovered (e., donaldson and duncan 1999), as have language-specific biases (eckstein et al. 2008), and agreement effects for people searching for information in science texts (burke et al. 2003). search strategies for information retrieval have been evaluated by informed experts (isenberg et al. 1991) and to a lesser degree in computer-based hci (e., rosario et al. 2006; eickholt et al. 1996).
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