CFPR: Testimonials Home


Since our inaugural training in 2015, we have trained over 604 participants from:

  • ▸ Government Agencies
  • ▸ Voluntary Welfare Organisations
  • ▸ Private Companies
  • ▸ University Staff and Students
  • ▸ Hospitals
  • ▸ Research Companies

The participants include directors, managers, executives, researchers, specialists, analysts, faculty members, postdoctoral fellows, research fellows, undergraduate and postgraduate students.


Hear what they say about our training programmes


Social Research Methods: Survey, Experiment & Fieldwork Dr Feng Qiushi

"Dr Feng was knowledgeable and exceptional in the delivery of the planned content. The delivery was interesting and not at all dry as one would expect such a course to be. I also appreciated his sharing of examples especially from his own work. There was also a strong theoretical foundation to the course and I appreciated that because too much of data without understanding the origins can be an issue sometimes."

"Prof Feng was very clear and engaging in his delivery of the course - helped make a topic that could be very dry a very interesting one! Also gained many new insights even though I am social science-trained. Enjoyed his humour and use of personal examples to illustrate concepts. Content of course also has a practical / applied slant so that it can be applied at the workplace."

"The Professor was very insightful, showcased real life examples. The SPSS portion was useful. The overview of both quantitative and qualitative methods was just right - not too detailed and technical yet not too shallow."

"The examples for both quantitative and qualitative social research methods demonstrated - I can identify, relate and appreciate."

"Course content was well-structured and well-paced. Dr Feng provided much examples to illustrate his point, which made learning more effective and fun!"

"Dr Feng is an amazing teacher - very engaging & passionate."

Introduction to Qualitative Research Prof Vineeta Sinha

"The teaching style of Prof Vineeta was really good! Approachable, open to questions, a wealth of experience. Lots of interesting examples. She actually answers the questions!"

"1) Having an introductory view on qualitative research. 2) Contents are pitched at a suitable level. 3) Rich experience of facilitator; interactions between learners and facilitator during lunch and tea breaks."

"Prof provided lots of real life examples which are useful & conducted a demonstration of how to conduct a life story interview."

"Clean, concise narration of various qualitative methods by Prof Sinha. She is also receptive of queries during class/ breaks and follow on consultations."

"The differences between quantitative & qualitative research & the different goals/outcomes of research. The different methodologies/approaches to this kind of research. The mixed method approach was also useful to know."

Quantitative Data Analysis I with SPSS Prof Paulin Straughan

"I think learning the fundamentals really helps, it allows me to appreciate the purpose of using what kind of statistical tools for what purposes. I wish that I have a lecturer like A/P Paulin for my University Statistics Course. I would have scored even better than A-."

"The practical teaching of SPSS, the explanation of how to apply it to policy/research questions, and how to determine the validity of the results."

"I find the interpretation of numbers (sociological perspective) taught by Prof Paulin is useful."

"Although it was pretty theoretical, it provided some insights into why certain techniques are used, and how to go about analysing a data set."

"Applicable skills taught, instructor provided good scaffolding in the topics."

Quantitative Data Analysis II: Multivariate Regression A/Prof Vincent Chua

"Dr Chua explains complicated types of analysis in a very clear and understandable way. He gives sufficient examples for us to try on our own and gives ample time for feedback to questions asked during class. I have a better understanding of how to interpret interaction effects of logistic regression."

"The instructor is good at making concepts easy to understand, with logical flow and increasing difficulty. the examples used are very helpful as well."

"Theory followed by lots of hands-on practice exercises was very useful in helping to understand how to apply the theory."

"Prof Chua was very clear in his explanations and took pains to explain the rationale and thinking behind the statistical methods to us, rather than simply how to do it (as many courses tend to do). Very knowledgeable about the topic as well."

"Lesson was easy to follow and simple to understand yet comprehensive."

"The theory was well-explained in a manner that was easy to understand. I felt that the pace of the course could have gone faster (because I am in academia and am quite familiar with SPSS and regression), but I think it was well-paced for a more general and the diverse participants in the course."

Multilevel Modeling with R A/Prof Mike Cheung

"The close, guided application of linear and multilevel regression in R; the lecturer was understanding of the class's varied experience with statistics and analysis, and made the class a comfortable one. The primer into regression and R was very useful as well, as not all of us are trained as statisticians or economists."

"The hands on experience was useful. The lecturer and teaching assistant were very approachable to answer any queries. The examples used were very clear to illustrate concepts."

"Easy to understand even with almost zero knowledge of R."

"Multilevel modelling is especially useful especially for my current research."

"When and how multilevel modelling can be used and application using R. Trainer is very knowledgeable and happy to share and discuss problems."

"Yes, the program and R codings are very useful and effective. The reading materials and slides are also well organized and well conducted. Very helpful for student to review them after class."

Longitudinal Data Analysis Dr Eric Fesselmeyer

"Instructor was able to explain the intuition and implementation of the various econometrics methods in a clear and concise manner. The hands-on exercises are also helpful in providing concrete examples to aid understanding and apply theory to practical work in STATA. Finally, his notes are also easy to understand and a valuable source of reference for my future research."

"The intuition and techniques are broken down and easy to understand. Not too technical which might make it too difficult to understand and use."

"Dr Eric is very approachable and is able to apply the concepts which he had taught to actual examples." "The professor is a good instructor and I liked that there were so many data exercises that provided hands-on experience."

"After every segments/topics, there will be exercises to reiterate whatever is taught."

"Usefulness of longitudinal data in overcoming omitted variable bias (OVB); the different models (First Difference (FD), Fixed Effects (FE), Random Effects (RE), POLS etc.) to use for doing regression; the Stata commands taught to us during the course."

"This course helps me to know how to use longitudinal data. And the potential models I should consider."

"Introduction to the various techniques in longitudinal data analysis."

"Understanding what needs to be considered before applying the analysis."

"The practice questions using Stata were very useful in helping me understand the concepts and apply them to actual research questions."

Data Analysis with R A/Prof Jin-Ting Zhang

"I only have basic knowledge of R, so it's quite a steep learning curve to understand the terminologies and syntax but I overall it's a good introduction for me."

"Really enjoyed the fact that the course had offered ample opportunities for hands-on practices of the using R."

"R is free. The instructor is also very knowledgeable on this topic."

"Instructor went through the basics as promised and it's a good introduction to learning about the program."

"The course was structured and easy to follow even for beginners."

"The codebook was provided and it made it easy to follow the steps."

Qualitative Data Analysis: Theory & Practice A/Prof Ganapathy Narayanan

"Having Prof Gana share his experiences to illustrate his point and being able to have a practice in coding with actual data is especially useful."

"He has taught in a way that makes the techniques learnt easy to apply in the workplace."

"The exercises (coding etc.) are very helpful. Prof Had succinctly translate complicated jargons into practical research tips."

"Prof Gana was very forthcoming in his sharing and past experiences. The practical aspects of this course such as the coding portion was very useful."

"The rich experience of Prof Gana. He attempted to answer every question on the go, which encourages spontaneous sharing/ discussion."

"Practice with actual case studies (looking at transcripts, photos). A lot of experience in the field shared."

"IDEA OF RESEARCHER AS METHODOLOGY, to acknowledge the pros and cons of it. Using examples to illustrate RQ formulation, coding etc."

"Techniques, steps used to conduct a qualitative research, things to look out for."

"Interactiveness of the instructor. Engaging and thought provoking. The practical and personal experiences shared by the instructor. Ethical and theoretical discussion."

"This course provides a very good combination of theory and practice in qualitative methods."

"Great introduction regarding qualitative research. Combination with case studies improved learning experiences."

Computer-assisted Analysis of Qualitative Data A/Prof Eric C. Thompson

"A lot of useful examples provided by the instructor based on his own research experience. In that way, it is useful that the instructor is an expert user of the two software covered in the class."

"The practical opportunities and A/Prof Thompson's experience and patience in explaining."

"Hands-on experience with Anthropac and Nvivo software."

"A basic understanding of NVivo and Anthropac."

"The lecturer provided very balanced introduction to the subject and the materials and examples are very informative."

"Hands-on engagement with the software, allowing us to play around with functions and make mistakes"

Policy Evaluation using Experimental Methods Dr Yi Junjian

"The content and application of quasi-experimental techniques such as DiD, which is highly applicable in the context of social policy, programme, and research."

"Interesting to learn about the different methods that ensure rigorous evaluation of policies and programmes."

"The instructor was able to explain difficult concepts in an intuitive way and gave numerous helpful examples/case studies to enhance our understanding."

"The course taught many concepts that are very useful and practical for programme evaluation in the real world, such as how to go about doing evaluations when there we only have one observed data for experimental and control group."

"Presentation of application in the form of published journals was helpful, but practical examples drawn from class were more useful."

"The topic of policy evaluation is very interesting to me. And all the detailed models Prof. Yi illustrated are very comprehensive and well organized."

"Enhanced my knowledge about the different methods used in policy evaluation"The topic of policy evaluation is very interesting to me. And all the detailed models Prof. Yi illustrated are very comprehensive and well organized."

Structural Equation Modeling with R A/Prof Mike Cheung

"Demonstrating the potential of the SEM framework to handle a wide range of analyses in applied work, e.g., missing data, non-random data, and categorical data etc."

"The instructor explained complicated topics in simple language."

"The hands-on session was very useful. Instructor and TA was approachable when help was needed."

"The training was followed by a lot of examples, which helped us to get deeper understanding of the knowledge. The training was well-organised, and the way how the instructor presented the lessons was very clear."

"The technique of how to analyze SEM is very beneficial to me. And also the hands-on practice. The lecture introduced different types of SEM very much in details. The well-organized notes are also very helpful for future use."

"The training materials and the hands-on session were very helpful in understanding the theoretical concepts covered."

"Methods are directly related to my work, able to apply. the best practices and do and donts in running analysis. shortcut my learning and pick up r skills faster."

Reliability and Validity of Measurement and Scale Development A/Prof Mike Cheung

"The course systematically review the reliability and validity, so that we learn how to do that."

"Goes in depth into the meanings of reliability and validity, and equipping in the R packages useful for the necessary tests."

"the theory and understanding behind concepts such as reliability and validity. it was a good refresher and consolidation of learning."


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