Qualitative Analysis & Qualitative Software Training

Data collection, analysis, and reporting require consistent, diligent attention in order to ensure a rigorous qualitative study. One of the keys to this process is a steadfast focus on the principal research questions. QuERI is available to help clarify your research questions and coach you through the research process, or to implement any or all portions of your qualitative study with these questions in mind. Training is also available in computer assisted qualitative data analysis with three of the leading software packages, N6, NVivo, and NVivo Merge. Training or coaching is available one-on-one, in large or small groups, and through distance-learning (via telephone or Internet communication).

***Click here to download a pdf of the most recent schedule of trainings.

Qualitative data collection
Qualitative data analysis/reporting
Software training

 


Qualitative data collection

Acquiring high quality data involves careful consideration of many issues. QuERI is happy to help you work through the decisions that are involved in data collection activities. Furthermore, if you would like QuERI to implement any data collection activities for you, we would be happy to do so. Some examples of these activities are provided below.

Type: Data may be gathered through individual interviews, focus groups, written surveys, journals, archives, photographs, and field notes, just to name a few. Because of this diversity, it is important to collect the type of data that will most effectively speak to your research questions.

Sample: Determining the source of your data is equally important as determining the type of collection. We are available to manage any of your sampling activities such as recommending the scope of the sample, identifying advantages and disadvantages of prospective samples, selecting participants, providing appropriate incentives, developing strategies for gaining entrée, and estimating attrition.

Protocol: Securing top-notch data requires consistent attention to data collection protocol. This includes the honorable handling of participants via strategies such as informed consent and protection of confidentiality. It also requires a careful crafting of tools such as surveys, so respondents are appropriately engaged in a reasonable period of time. A good protocol respects the timing of events in a given setting such as religious holidays and academic cycles.

Coordination: Many of the administrative tasks involved in data collection can be handled in ways that facilitate an efficient process. Tracking participant schedules, maintaining accurate contact information for stakeholders, coordinating multiple interview locations, and securing the best recording equipment are vital elements of the collection effort.

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Qualitative data analysis/reporting

Individuals engaging in qualitative research range from those with no formal training to those with years of experience. QuERI is pleased to work with this broad range of individuals, as we can adapt our approach based on your level of experience. Whether you simply know the difference between qualitative and quantitative research, or whether you know the intricacies of qualitative approaches such as phenomenology, ethnomethodology, symbolic interactionism, critical theory and grounded theory, QuERI is available to assist you. Below is a brief discussion of some of the analysis and reporting activities with which we can provide assistance:

Data management: Different data sets or theoretical approaches necessitate unique storage and retrieval processes. For instance, the management of field notes versus transcribed interviews requires a different set of steps and tracking measures. As data moves through the stages of analysis, it is important to know who has been involved with the data, where the data was located, and when it was moved to another stage. Clear data management processes help ensure the integrity of the data.

Coding: The coding process will also be customized, depending on the nature of the study. For example, a grounded theory approach will not begin with a predetermined set of codes, while a hypothesis testing approach is likely to start with at least a core set of codes. Coding involves the identification of patterns and themes, clustering, observing connections and contrasts, and returning to the data for additional coding iterations.

Analysis: Although the analysis usually begins as soon as data is collected, the process is not complete until the coding has been thoroughly examined for relationships and patterns. This includes an understanding of codes that are mutually exclusive, overlapping, and co-occurring (to name a few). The analysis also often entails a triangulation of qualitative and quantitative data, such that each approach provides an informative lens on the other.

Reporting: While it is usually assumed that the analysis will result in some type of report, this final stage of the research process often lacks the careful planning that it deserves. An information dissemination plan should be crafted early in the research process in order to guarantee that different audiences will have the most appropriate access to the research information. Formats could include a traditional narrative, summary charts, audio/video presentations, or even an interactive computer interface to engage the audience.

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Qualitative software training in N6, NVivo and NVivo Merge

Some individuals prefer to host a training at their location, some prefer to travel to one of our training sites and others work with us through telephone consultation. Many learners benefit from a focus on their own particular research project, while others are not yet ready to work on their own data, but still want to learn the basics. We have several training options to meet these various needs, and can easily customize a training for you at no extra cost.

Telephone Consultation: Telephone consultation has several advantages. This mode of learning will allow you to proceed at your own pace and to use as little or as much assistance as you need. Many clients, especially Ph. D. students working on their dissertations, find this to be the most cost effective way of learning a software program while embarking on the coding and analysis of their own research. A copy of your project can be sent directly to us, under strict confidentiality, allowing us to explore your data with you. In this manner we are able to provide specific suggestions/options about your coding and analysis.

Individual Training: For an intensive, focused journey through your data, you may choose to visit one of our training sites in the USA. Some individuals attend a two-day training with at least three hours of work on their own data (or a data set we will provide). Others come to our main location in Denver for a week or more. Many of our visitors plan an extended visit with a few hours of training each day. Between these training sessions, individuals may work on their own data, therefore making significant progress in just a week or two. Many individuals obtain a good "jump start" with individualized coaching, and then follow-up this step with ongoing telephone consultation as needed.

Private Group Training: When a group of individuals (4-15) require assistance, the most cost effective method is to have one of our coaches travel to a local computer lab and hold a training that may last anywhere from 1-5 days. This training can be provided for up to 6 hours each day, or for just a few hours each day, depending on the needs of the group. We would be happy to chat with you to determine how to best meet your needs.

Open Training: Many training dates are available each year for individuals who prefer this traditional mode of computer training. These trainings areadded throughout the year and occur across the USA (Colorado, Florida,Nevada, Washington DC, Washington state, and Wisconsin).



 

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