Web-based survey responses of the study

Top PDF Web-based survey responses of the study:

Web Analytics! Survey-Study!

Web Analytics! Survey-Study!

Google Analytics (GA) still reigns as the leading Web Analytics solution in Poland!. Despite that, the trend in the past years has been a downward one for GA.![r]

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A Comparison Between Responses From a Propensity-Weighted Web Survey and an Identical RDD Survey

A Comparison Between Responses From a Propensity-Weighted Web Survey and an Identical RDD Survey

DISCUSSION We conducted the same survey both as a RDD telephone survey and as a web survey. One hopes ideally that the two modes yield the same estimates for the target population. As the previous section shows, this is not generally the case. Differences might arise for many rea- sons. The fact that collapsing two similar response categories sometimes renders a signifi- cant difference insignificant may point to measurement error. Nonproprietary research on how to apply the propensity score methodology to web surveys is still in its infancy. The use of more or different attitudinal questions that feed the propensity scoring may lead to further improvements. There may be a mode effect, namely, respondents may respond differently online than they do on the phone. In our study, differences may also have arisen because of different target populations for the reference survey and the web survey. Finally, the imple- mentation of the propensity scoring method may well have room for improvement.
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Rates, Delays, and Completeness of General Practitioners' Responses to a Postal Versus Web-Based Survey: A Randomized Trial.

Rates, Delays, and Completeness of General Practitioners' Responses to a Postal Versus Web-Based Survey: A Randomized Trial.

Completeness of Questionnaires We showed that the number of GPs who fully completed the questionnaire was higher in the Web-based group compared to the postal group. Although both questionnaire formats were designed to be similar, this suggests that completion of a Web-based questionnaire is less subject to attention errors than a paper questionnaire. Our data are supported by Kongsved et al’s study [15] in which 98% filled in a complete questionnaire in the Web group versus 35% in the mail group, and by McMahon et al’s study [7] in which 2.1% of the questions were not answered in the mail group versus only 0.4% in the Web group. Interestingly, in the multivariate analysis, the proportion of fully completed questionnaires was higher for GPs working more days in the practice and for those who were less experienced, who may be more interested in research because they were involved in clinical research in their recent residency program. To our knowledge, this study is the first to describe questionnaire completeness by sociodemographic characteristics of the respondents. Because completeness of data are as important as response rates, researchers should probably take these results into consideration when conducting questionnaire studies among GPs.
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A SURVEY ON SEMANTIC WEB MINING BASED WEB SEARCH ENGINES

A SURVEY ON SEMANTIC WEB MINING BASED WEB SEARCH ENGINES

search engines play a key role. Because of their general- purpose technique, it is constantly less infrequent that obtained result sets offer a burden of ineffective pages. The future generation Web architecture, characterized by the Semantic Web, offers the layered architecture probably permitting overcoming this limitation. The ontology for several search engines is coded such that in this search engine for single query the last result is obtained from multiple search engines. Clustering can be done after receiving the user query outcome. In this clustering approach the user query outcomes is sorted in the a to z form, the numerous search engines have been developed, which permit growing information retrieval accuracy by developing a key content of Semantic Web resources, i.e., relations. The web cache optimization can be utilized in search engine to obtain fast retrieval of user query outputs. In this paper, the authors have used web cache optimization depends on eviction technique for semantic web search engine. Also, analization of both merits and demerits of a few existing Web cache replacement techniques comprising lowest relative value algorithm, least weighted usage algorithm and least unified-value algorithm is performed. Depending upon the analysis of results, the authors have used least grade replacement (LGR) algorithm in this technique which takes recency, frequency, ideal history, and document size into account for Web cache optimization. When the set is filled, the least grade document will be substituted, but its grade will be stored in an ideal-history grade collection for future references.
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A Survey on Web Content Mining Methods and Applications for Perfect Catch Responses

A Survey on Web Content Mining Methods and Applications for Perfect Catch Responses

generally the second step in Web data mining. Content mining is the scanning and mining of text, pictures and graphs of a Web page to determine the relevance of the content to the search query. Web content mining is very effective when used in relation to a content database dealing with specific topics. For example universities use a online library system to recall articles related to the general areas of study. This specific content database enables to pull only the information within those subjects, providing the most specific results of search queries in search engines. This method of allowing only the most relevant information being provided gives a higher quality of results. This increase of productivity is due todirect usage of content mining. Web content mining is simply an integration of data from various sources by analyzing customers’ view. This paper also presents a survey on web content mining methods used for mining and application of web content mining. The paper shows some of the emerging techniques used for extraction of data for perfect catching responses.
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RESPONSES TO SURVEY OF

RESPONSES TO SURVEY OF

Many dealers indicated that they expected the Committee to announce changes to its guidance for asset purchases, with some specifying that they expected this guidance to be qualitative and outcome-based and several specifying that they expected it to be tied to outcomes for inflation and employment. In addition, several dealers indicated that they expected the Committee to announce an extension of the weighted average maturity of its Treasury purchases.

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A Survey on Semantic Web based E learning

A Survey on Semantic Web based E learning

The key concept of ShareFast is to visualize learning processes into hierarchical workflows, and manage documents by attaching them to the related task in workflow, together with many supporting tools provided. ShareFast is a semantic web based application. Teacher can create a workflow for learning using Share Fast server application and then student can follow the workflow for learning. Client Share Fast records the log history of the student and sends to the server ShareFast so that teacher can set the workflow for student according to log history. Teacher and student can interact using discussion thread.log history include input given by student during learning. By making analysis of log file of student/class, teacher can understand learning behaviour of student/class, and after analysing log file, teacher can modify learning content according to student/class quality. Discussion thread plays significant role when tutor and student are away from each other.
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A Web-Based Online Auction System: A Survey

A Web-Based Online Auction System: A Survey

transactions. Conceptually, this model ought to deal with the complexities of competition in an online environment while maximizing social welfare. [1] In recent years, the proliferation of the World Wide Web has lead to an increase in the number of public auctions on the internet. One of the characteristics of online auctions is that a successful implementation requires a high volume of buyers and sellers at its website. Consequently, auction sites which have a high volume of traffic have an advantage over those in which the volume is limited. This results in even greater polarization of buyers and sellers towards a particular site. This is often referred to as the network effect in a variety of web and telecommunication applications involving interactions among a large number of entities. While this effect has qualitatively been known to increase the value of the overall network, its effect has never been modelled or studied rigorously. In this paper, we construct a Markov Model to analyse the network effect in the case of web auctions. We show that the network effect is very powerful for the case of web auctions and can result in a situation in which one auction can quickly overwhelm its competing sites. This results in a situation in which the natural stable equilibrium is that of a single online auction seller for a given product and geographical locality. While a single player structure is unlikely because of some approximation assumptions in the model, the trend seems to show the likely existence of single dominant player in the web auction space. [2]
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A Survey on QOS Based Web Service Selection

A Survey on QOS Based Web Service Selection

1 M.Tech Scholar, 2 Assistant Professor Department of Computer Science and Engineering, NSS College of Engineering, Palakkad, Kerala, India - 678008 Abstract— The Web service has become an essential concern for developers. Users have to select a service from a number of available services that best fit for their use. It is hard to discover the most appropriate web service from a large collection of web services. Quality of service depends upon the numbers of parameters. Every attribute of the QoS has its own effect on overall quality of service, which will change every time based on the service and user requirement. However, most of the researches in this field have concentrated on the study of each independent attribute of web service or based on their pre-defined priority of attribute. The article presents an overview of challenges that comes in order to select appropriate Web service also it give a road map for future research.
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A survey of web-based mental health selfhelp

A survey of web-based mental health selfhelp

3 The web services group is part of the Mental Health Informatics Section in the VHA Office of Mental Health Services (VACO-10P4M) Our mission is to use internet and emerging technologies to support the delivery of evidence-based, recovery-oriented, mental health services to Veterans and their families.

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Adoption and Implementation of Activity-Based Costing: A Web-Based Survey

Adoption and Implementation of Activity-Based Costing: A Web-Based Survey

service sectors. Service firms that provide multiple services that use overhead at differing rates can benefit from the use of ABC, as can manufacturing firms with multiple products that place different demands on overhead. In this study, adoption of ABC was found to be is significantly related to firm size, with larger firms being more likely to adopt this method than smaller firms. These results may reflect the fact that larger firms are more likely to have the diverse mix of products or services that makes the use of ABC advantageous. Also, smaller firms may be less likely to have specialized staff that are familiar with this method. Accountants and managers working for larger firms were more likely to be familiar with ABC than those working for smaller firms. As small firms develop greater familiarity with ABC, increased implementation would be expected. In addition, adoption of ABC by smaller companies might be supported by implementation procedures customized to their particular needs [11].
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Modelling stress levels based on physiological responses to web contents

Modelling stress levels based on physiological responses to web contents

Abstract Capturing data on user experience of web applications and browsing is important in many ways. For instance, web designers and devel- opers may find such data quite useful in enhancing navigational fea- tures of web pages; rehabilitation therapists, mental-health specialists and other biomedical personnel regularly use computer simulations to monitor and control the bahaviour of patients. Marketing and law en- forcement agencies are probably two of the most common beneficiaries of such data - with the success of online marketing increasingly re- quiring a good understanding of customers’ online behaviour. On the other hand, law enforcement agents have for long been using lie de- tection methods - typically relying on human physiological functions - to determine the likelihood of falsehood in interrogations. Quite often, online user experience is studied via tangible measures such as task completion time, surveys and comprehensive tests from which data attributes are generated. Prediction of users’ stress level and behaviour in some of these cases depends mostly on task completion time and number of clicks per given time interval. However, such approaches are generally subjective and rely heavily on distributional assumptions making the results prone to recording errors.
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International web survey of chiropractic students about evidence-based practice: a pilot study

International web survey of chiropractic students about evidence-based practice: a pilot study

Several surveying recommendations flow from the current research. First, surveyors conducting research with students attending chiropractic institutions should gather baseline information about registrar recordkeep- ing. For instance, two institutions in the current study could not report accurate enrollment numbers for their institution. Second, researchers should negotiate access to student email lists. By doing so, they can more actively target survey solicitations and follow-up mes- sages as well as assert better control for potential survey duplication. The use of student email lists also allows the researcher to accurately calculate response rates to the survey, as well as to better gauge respondent repre- sentativeness to the population post-data collection. If these recommendations are followed, it is likely that future efforts will require ethics approval at all institu- tions surveyed.
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Concept-based, personalized web information gathering: a survey

Concept-based, personalized web information gathering: a survey

machine-learning techniques are utilized to analyze the user-browsed Web docu- ments, and classification techniques are used to classify the documents into the concepts specified in the global categorization. As a result, the user profiles in these models are a sub-taxonomy of the global categorizations. However, because the categorizations used are not well-constructed ontologies, the user profiles ac- quired in these models cannot describe the specific semantic relations. Instead of classifying interesting documents into the supervised categorizations, Li and Zhong [29, 30] used unsupervised methods to discover interesting patterns from the user-browsed Web documents, and illustrated the patterns to represent user profiles in ontologies. The model developed by [34] acquired user profiles adap- tively, based on the content study of user queries and online browsing history. In order to acquire user profiles, Chirita et al. [6] and Teevan et al. [57] extracted user interests from the collection of user desktop information such as text docu- ments, emails, and cached Web pages. Makris et al. [37] comprised user profiles by a ranked local set of categories and then utilized Web pages to personalize search results for a user. These non-interviewing techniques, however, have a common limitation of ineffectiveness. Their user profiles usually contain much noise and uncertainties because of the use of automatic acquiring techniques.
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A Survey on Android and Web Based Application for Online Voting

A Survey on Android and Web Based Application for Online Voting

ABSTRACT: Voting is essential for modern democratic societies. It is becoming very important to make the voting process more easy and efficient. Android and web based application for online voting should be technically implemented in such a way that ensures authenticate user requirements. The proposed system is implemented to allow each and every voter to actively participate in the election process. This is done by the android application which will accept the votes of different voters using the application. Online voting through android and web based application will make the voting process reliable and m or e efficient. This system allows each and every voter to actively participate so that they can get familiar with the candidates and select the appropriate Candidates. The aim is to provide convenient, easy and safe way to capture and count the votes in elections-voting can be a cost effective way for conducting a voting procedure and for attracting voters to participate and also provides the facility of interaction between the voters and the candidates. The main goal of the project is to denote a voting process, which enables voters to cast a secure and secret ballot over a network as the traditional voting process is time consuming and prone to security breaches.
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A Survey on A Web Based Hall Booking Management System

A Survey on A Web Based Hall Booking Management System

We are going to develop web portal for searching wedding Hall or Lawn to access the computers. This web portal is used to check the availability of Wedding Hall or Lawn, hence we need not visit same place. Because of getting detailed information of Hall in same web portal we can save time and money of user. A simple list of Wedding Halls not gives us detailed information with features and facilities. The user should have waste his/her time and money to search for Hall or Lawn. But with the help of this web portal user can easily get the area wise listing of Wedding Halls and Lawns with detail information as well as the availability of the same for particular date. Information of Individual Hall or Lawn is stored in database. New Owner of Hall or Lawn can insert his detail in web portal. As soon as he became member of web portal he can edit his information and update date of booking. The main advantage of a web based Hall management system is that it consuming the time and save money of user. It gives upto date information about Hall or Lawn and availability for particular date of this Halls or Lawn. Major problem is focused while searching of Hall or Lawn, because of busy schedule of user he/she is spending much time and money. This web portal is used to solve this problem. This helps the user to save time, money as well as energy because all the information got on the same web portal.
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Knowledge based Recommendation System in Semantic Web   A Survey

Knowledge based Recommendation System in Semantic Web A Survey

Some of the approaches used for collaborative filtering in Semantic Web have been discussed in the following paragraphs. Lee et al. [12] used semantic collaborative filtering techniques based on personalized search Bayesian Belief network (pEBBN) to retrieve documents that have high semantic similarity to the given query. pEBBN uses domain knowledge to represent concepts in concept layer which represents the semantics of user preference queries and documents with their corresponding concepts. To personalize the search the first step is to find the implicit authority of document by collaborative filtering, which finds a set of user who has the same preferences as that of the user who has submitted the query. In the second step a score function which performs conceptual mapping along with the semantic similarities between like-minded users is computed on the documents accessed by like-minded users and the query submitted and the preferences of the user. Top-k documents are returned as a result of the search for each like-minded user.
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Sketch Based Image Retrieval System for the Web
          - A Survey

Sketch Based Image Retrieval System for the Web - A Survey

look for gaps. Keywords are used to recognize applicant grouping. Content-based retrieval is carried out in this grouping using multiple icon features. Importance reaction is used to learn the user’s intent—query specification and feature weighting with minimal user-interface concept. The technique applies to a huge amount of images collected from a popular categorical structure on the World Wide Web. Results show that efficient and accurate performance is achievable by exploiting the semantic classification represented by the groups. The significance reaction loop permits the substance descriptor weightings to be determined without exposing the calculations toward the user. Indexing varied compilations of compact disk facts remains a challenging problem. Even though significant progress has been made toward developing effective content descriptors, evidenced by the forthcoming MPEG-7 standard, it is still difficult to bridge the gap between low- level image analysis and image understanding at the semantic level. This gap limits access solutions since users usually interact at the semantic level. The images found on the World Wide Web (WWW) is a prime example of a multimedia collection that is difficult to index. Low-level features, such as color and texture, can be extracted and used for similarity searches. The results might be visually suitable excluding it is unreasonable to expect them to be conceptually relevant. For this, the content based searches must be constrained to semantically relevant sets of images.
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A COMPARISON OF MAIL, FAX, AND WEB-BASED SURVEY METHODS

A COMPARISON OF MAIL, FAX, AND WEB-BASED SURVEY METHODS

Different from mixed-mode designs that employ telephone and mail methods only, the survey data obtained by using mail, fax and internet-based surveys may not be [r]

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WEB USAGE MINING USING SEMANTIC WEB APPROACH: A STUDY, SURVEY AND ANALYSIS

WEB USAGE MINING USING SEMANTIC WEB APPROACH: A STUDY, SURVEY AND ANALYSIS

According to the authors web site structure acknowledge browsing behavior and way of finding results. They explained the profiles of web sites’ organizational structure by modeling them as graphs and considering several social network analysis features[3]. The authors aim was to focuses on two important issues: improving search-engine performance through static caching of search results, and helping users to find interesting web pages by recommending news articles and blog posts. Concerning the static caching of search results, they presented the query covering approach. For the recommendation of web pages, they presented a graph based approach, which helps to identify user-log[4].
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