Cloud omnibus system for evaluating cloud market services

Rapid expansion in numbers of cloud service providers (CSPs) has resulted in the introduction of various brokering services and cloud marketplaces designed to help customers to assess and choose CSPs. The problem of evaluating marketplaces and also separate sub-offerings supplied by cloud service providers (CSPs) has become vitally important because cloud marketplaces can now incorporate sub-offerings from different CSPs into a combined package tailored for each customer. In this paper, we introduce a new concept which we refer to as a cloud omnibus system (COS) and which we define as a cloud marketing system evaluating whole cloud marketplaces, CSPs, brokers and separate service sub-offerings from CSPs (sometimes combined into packages tailored for customers). COS is based on trust and management of trust and is beyond the state-of-the-art in providing a formal trust measuring mechanism for customers by introducing three types of trust which we refer to as ‘direct’, ‘relative’ and ‘transparent’.

National estimates of Australian gambling prevalence : findings from a dual-frame omnibus survey

BACKGROUND, AIMS AND DESIGN: The increase in mobile telephone-only households may be a source of bias for traditional landline gambling prevalence surveys. Aims were to: (1) identify Australian gambling participation and problem gambling prevalence using a dual-frame (50% landline and 50% mobile telephone) computer-assisted telephone interviewing methodology; (2) explore the predictors of sample frame and telephone status; and (3) explore the degree to which sample frame and telephone status moderate the relationships between respondent characteristics and problem gambling. SETTING AND PARTICIPANTS: A total of 2000 adult respondents residing in Australia were interviewed from March to April 2013. MEASUREMENTS: Participation in multiple gambling activities and Problem Gambling Severity Index (PGSI). FINDINGS: Estimates were: gambling participation [63.9%, 95% confidence interval (CI) = 61.4-66.3], problem gambling (0.4%, 95% CI = 0.2-0.8), moderate-risk gambling (1.9%, 95% CI = 1.3-2.6) and low-risk gambling (3.0%, 95% CI = 2.2-4.0). Relative to the landline frame, the mobile frame was more likely to gamble on horse/greyhound races [odds ratio (OR) = 1.4], casino table games (OR = 5.0), sporting events (OR = 2.2), private games (OR = 1.9) and the internet (OR = 6.5); less likely to gamble on lotteries (OR = 0.6); and more likely to gamble on five or more activities (OR = 2.4), display problem gambling (OR = 6.4) and endorse PGSI items (OR = 2.4-6.1). Only casino table gambling (OR = 2.9) and internet gambling (OR = 3.5) independently predicted mobile frame membership. Telephone status (landline frame versus mobile dual users and mobile-only users) displayed similar findings. Finally, sample frame and/or telephone status moderated the relationship between gender, relationship status, health and problem gambling (OR = 2.9-7.6). CONCLUSION: Given expected future increases in the mobile telephone-only population, best practice in population gambling research should use dual frame sampling methodologies (at least 50% landline and 50% mobile telephone) for telephone interviewing.

Quantifying the impact of transient joint symptoms, chronic joint symptoms, and arthritis : a population-based approach

Objective : To estimate the prevalence and co-occurrence of self-reported doctor-diagnosed arthritis, chronic joint symptoms (pain, aching, stiffness, or swelling on most days for a month), and transient joint symptoms (pain, aching, stiffness, or swelling but not on most days for a month), and to compare the sociodemographic characteristics, activity limitations, and health-related quality of life (HRQOL) of people with joint conditions with those who have no self-reported doctor-diagnosed arthritis and no joint symptoms.
Methods : Data from the 2004 population-based South Australian Health Omnibus Survey (n = 2,840, ages 18-96 years) were used in the study. Activity limitations were assessed using 10 activity limitations questions from the Short Form 36 health survey. HRQOL was assessed using the Assessment of Quality of Life scale.
Results : Half of all respondents reported having joint problems, with 26%, 11%, and 13% reporting self-reported doctor-diagnosed arthritis, chronic joint symptoms, and transient joint symptoms, respectively. Chronic joint conditions (self-reported doctor-diagnosed arthritis and chronic joint symptoms) accounted for 74% of all joint problems and were associated with higher odds of activity limitations and poorer HRQOL. The frequency of transient and chronic joint symptoms was highest among middle-aged participants (ages 45-54 years for transient and 45-64 years for chronic joint symptoms) and those who had a body mass index in the obese range. Prevalence of self-reported doctor-diagnosed arthritis increased with age and was higher among women and those who were overweight or obese.
Conclusion : This study documented the high prevalence and impact of joint conditions in the community. Chronic joint conditions affect daily life and are substantial barriers for effective public health interventions aimed at reducing obesity and inactivity.

Population norms and meaningful differences for the Assessment of Quality of Life (AQoL) measure

Objective: The Assessment of Quality of Life (AQoL) instrument is widely used in Australian health research. To assist researchers interpret and report their work, this paper reports population and health status norms, general minimal important differences (MIDs) and effect sizes.

Method: Data from the 1998 South Australian Health Omnibus Survey (n=3,010 population-based respondents) were analysed by gender, age group and health status. Data from four other longitudinal studies were analysed to obtain estimated MIDs.

Results: The mean (SD) AQoL utility score was 0.83 (0.20). Gender and age subgroup differences were apparent; the mean scores for women were consistent until their 50s, when scores declined. Greater variability was observed for males whose scores declined more slowly but consistently between 40–80 years. For both genders, those aged 80+ years had the lowest scores When assessed by health status, those reporting excellent health obtained the highest utility scores; progressive declines were observed with decreasing health status. Effect sizes of 0.13 or greater may reflect important differences between groups A difference in AQoL scores of 0.06 utility points over time suggests a general MID.

Conclusions: AQoL population norms, MIDs and effect sizes can be used as reference points for the interpretation of AQoL data. These findings add to the growing evidence that the AQoL is a robust and sensitive measure that has wide applicability.

Implications: The availability of population norms will assist researchers using the AQoL to more easily interpret and report their work.

The effect of guessing vocabulary in reading authentic texts among pre-university students

The omnibus question proposed here is to pinpoint the impact of a contextual guessing strategy (CGS) on vocabulary and reading authentic texts at the pre-university level. One hundred male and female students were randomly selected and assigned to ‘context’ and ‘non-context’ groups. The context group received a CGS instruction to infer the meaning of low-frequency words while the non-context participants were treated by a direct method. The results revealed that CGS instruction was more effective vis-à-vis direct vocabulary instruction in all particulars, and was more effective than the non-context method in improving reading. The tentative estimation would be that some of the assumptions about the futility of teaching contextual clues should be rigorously re-examined and that CGS can account for a substantial proportion of vocabulary growth during the school years.

Response rates in Australian market research

RICA commissioned Deakin University to “establish whether response rates are in decline in the Australian market research industry and to identify, as far as possible, the reasons for these declines if they exist. This is likely to involve a review of previous research, a literature review and collection of data on response rates provided on a confidential basis and with the assistance of AMSRO to facilitate data provision.”

Attempts were made to contact all listed market research companies in Australia, including all major internet panel companies. While industry co-operation was not high with the study, sufficient data was provided to depict current response rates and to show how they had declined over time. Because of the low contactability issues, this Report proposes the use of better methods to compute the reliability of survey estimates by taking account of past survey results.

The literature review revealed a wealth of recent studies, with the main emphasis being on studies of telephone and internet surveys. This review of the research produced 34 evidence-based guidelines for social researchers. While some of these reflect current practice, the emergence of the internet as the main survey method raises a number of disclosure and sampling issues. Esomar (2012) has produced 28 issues to be raised with providers, which sets the basis for good industry practice. This suggests an opportunity for the industry to adopt these standards as its own and to conduct training courses for major clients and suppliers. There are many panel providers, some of whom are not AMSRO members. AMSRO may need to examine what role it can play in mandating or encouraging adherence to these standards as a way of promoting the industry.

Talks with key industry people, as well as the literature, have revealed the importance of blended surveys, where multiple contact and response mechanisms are used. Particularly where an internet panel is used as one source, this poses representativeness and weighting issues which are difficult to resolve. The Report recommends that where blended survey methods are used, measures be taken to measure contactability in the other contact media, along with more sophisticated weighting schemes. The industry should examine its training courses to ensure that industry expertise keeps pace with these developments.
Summary of Results

The results focus on two main collection methods – the telephone and the internet. As far as the telephone is concerned response rates have been in a gradual decline the last decade. This outcome is hard to detect because the data show considerable fluctuations from one survey wave to the next. Among cold-calling surveys, telephone response rates are typically below 10%, for a range of topics and survey types. Co-operation rates, (the ratio of obtained interviews to refusals) are typically below 0.2 (that is below one interview to five refusals). Telephone interviews with clients have a higher response rate – typically above 20% with co-operation rates above 1.0. It would appear that some topics, such as financial services, may induce a lower level of co-operation. Government sponsored surveys have higher response rates, at times over 50%, but even here a sharp decline in response rates over time for one long running monitor was observed. Co-operation rates were also higher in government sponsored surveys.

One long data series from a telephone omnibus suggested that the “Do Not Call Register” which began in May, 2007 had some positive effects for the industry. Initially there was a spike in both response rates and co-operation. Although this was relatively short-lived, response rates thereafter declined more slowly and co-operation rates were somewhat higher and remained stable. These conclusions should be regarded as tentative as more data series would really be necessary to see if similar trends occurred elsewhere.

As far as the internet is concerned, panel response rates are around the 20% mark and appear to be relatively stable over the last few years. In this case, the gross response rate is the number of interviews divided by the number of invitations sent. As the number of invitations may be a function of the need to fill a survey quickly, it should be considered a gross indicator of response. In order to capture this phenomenon, a further measure has been devised, termed the “attempt rate” which measures the percentage of people who attempt to participate once sent the invitation. The available data suggests that it is relatively stable. However, it is also somewhat susceptible to the time the survey was left open. Finally, a co-operation rate was also calculated. It measures the ratio of completed to terminated interviews, typically at least five interviews to each termination, but often much higher. This measure is not directly comparable with the co-operation rate in telephone surveys because it cannot take account of the number of eligible people on the panel who open the invitation, see the company doing the survey or its length and decide not to take the survey. For internet client studies, response rates were typically somewhat higher than shown for the panels, but there was marked variability.

There was only one study provided of intercept interviews. It showed response rates of over 60% and co-operation rates of nearly 2 interviews per refusal. A strength and a weakness of intercept interviewing is the ability to be selective in who is asked to participate. As for mail, one government sponsored mail survey from 2010 is reported, with a response rate over 50%. The previous review contains more data, as mail appears to be infrequently used within the industry for commercial surveys.

While surveys remain a major and highly effective tool for the industry and its clients, issues with contactability and co-operation mean that even closer attention is needed to survey design, sampling, weighting and analysis than was previously the case.