Our Experience

We have much experience in helping companies, professors or researchers as well as master or doctorial students to do statistical analysis. These studies are briefed in below:

Healthcare or Nursing Research

Intervention Studies - These studies aimed at the investigate the effectiveness of specific interventions given to the respondents over a period of time. The statistical techniques including mixed analysis of variance, mixed linear modeling, multilevel structural equation modeling as well as latent growth modeling were used.

Quality of Life Studies - These studies investigate the changes on the quality of life perceived among the respondents over time. The statistical tools such as hierarchical regression analysis, analysis of variance, confirmatory factor analysis and structural equation modeling were used.

Opinion Research - The research aimed at seeking opinions towards the use of drugs  and the policy related to healthcare. In addition, it would investigating the underlying factors. Most of the surveys were cross-sectional surveys. The analysis tools mainly were factor analysis, multiple regression and logistic regression were used.

Meta Analysis - The study was to take a systematic review of the literature to see the effect size of the specific over a period. The analysis included forest plot, funnel plot, subgroup analysis and meta regression.

Human Resources Management Research

Employee Engagement Survey - The studies aimed at seeking the opinions from the employees. It aimed at giving HR professionals to formulate the strategies on how tostrengthenemployee engagement.

Pay and Benefits Survey - The studies aimed at gatheringpayand benefits information. As a result, the clients would have a better understanding on the talent market and would then formulate the strategies on how to retain their talents.

Marketing Research

Customers Satisfaction Measurement- These surveys were conducted for seeking the opinions of the customers in term of the satisfaction level on the productsand services provided.The key drivers analysis was used to identify their strength and their weakness. Incorporate with gap analysis and quadrant analysis, the competitive advantages for the clients over their competitors could have emerged.

Brand Preference Studies - The studies would give a two dimensions map of which the clients would perceive their brand position as well as their competitors in the market. In the meantime, the marketing strategies would be formulated through the analysis of competition over the market.

Segmentation Studies - Each brand has its own customers. Through these studies, the opinions of the customers on their awareness and usage pattern towards products would be collected. As a result, a better understanding of the profile among their customers would be achieved. It will be beneficial to the clients who would intend to an entry of a potential new market in the formulation of marketing strategies and an effective marketing activities could be implemented. In general, factor analysis and cluster analysis are most common.