Presenting qualitative data
Published on: Mar 4, 2016
Transcripts - Presenting qualitative data
Presenting Qualitative Data by Ronald J. Chenail The Qualitative Report, Volume 2, Number 3, December, 1995 (http://www.nova.edu/ssss/QR/QR2-3/presenting.html)After all the data have been collected and the analysis has been completed, the nextmajor task for qualitative researchers is to re-present the study in the form of a paperor a lecture. The challenge of converting mounds of data and analysis can be quiteoverwhelming even for the experienced researcher. To help you with your efforts atpresenting qualitative research in your papers and in your talks, I ask you to considerthe following ideas: Openness, Data as Star, Juxtaposition, and Data PresentationStrategies.1. OpennessIn 1993, Marc Constas wrote a very helpful article for those qualitative researcherswho process, analyze, organize, and present their qualitative data in categories. In hispaper, "Qualitative analysis as a public event: The documentation of categorydevelopment procedures," Constas presented a simple chart which can help qualitativeresearchers make overt their assumptions, logics, and choices when conducting aresearch study. Constas wrote his article for a number of reasons. First, he wasconcerned that qualitative researchers make all sorts of choices in creating ourresearch studies and methods, and that for the most part, we are not very good atsharing these decisions, and the rationales for these choices in our presentations of ourwork. He pointed out that quantitative researchers are also guilty of this oversight, butConstas also argued that qualitative researchers are especially vulnerable to thismethod-reporting-deficit. Unlike their quantitative brothers and sisters, qualitativeresearchers often create new methods for their particular studies, or they improviseand modify current, extant approaches.Given this idiosyncratic leaning with their methods, qualitative researchers can beeasily criticized for leaving the reader "in the dark" when it comes to describing themethod-creation process. One irony to this whole situation is that for researchers whopride themselves on their skills at description, explanation, and interpretation,qualitative researchers are often woeful on applying these abilities in theirpresentations of their methods.To address these shortcomings, Constas advocated a spirit of openness in thepresentation of qualitative research methods. He asked researchers to focus their
descriptive and narrative skills on themselves and their researching activities, and topresent the story of their method construction in their qualitative researchpresentations.When I talk about this point, I usually paraphrase the anthropologist Gregory Bateson(Harries-Jones, 1995) and say that it takes two studies to present one in qualitativeresearch. One study is the "official" research project and the other study is the studyabout that study. In a well-done qualitative research study, in addition to seeing theresults of the labor, the reader should have ample opportunities to examine theparticulars of the inquiry: What choices were made by the researcher in theconstruction of the study, what were the steps in the process of forming the researchquestions, selecting a site, generating and collecting the data, processing andanalyzing the data, and selecting the data exemplars for the paper or presentation.It is in this spirit of openness that trust is built between the researcher and the reader.It is not a matter of the researcher simply telling the reader that a study is valid orreliable for that qualitative research study to be valid or reliable. Rather, the process ofestablishing the trustworthiness of any study comes down to the quality of therelationship built between the researcher and the community of readers and criticswho examine the study (Atkinson, Heath, & Chenail, 1991). As with any importantrelationship, for example, husband and wife, parent and child, friend and friend, orresearcher and reader, openness is an extremely important factor in the value andquality of that interaction.A way to maintain this posture is to consider the other in the process at all times andmake it a priority that you present as much of the "back stage" information of yourresearch as possible. By back stage I mean that you communicate as clearly as youcan what it was that you did to create your project, what were your choices along theway, what else did you consider doing in the project but chose not to do. Get clearwith yourself what it is that you are doing at every point along the way of doing yourproject. Note it and present it to your readers. Even if what you were doing wasintuitive guessing, let the reader in on it (Chenail, 1994).Openness also entails involving "the other" in your research. The other can be theparticipants in your study and they can also be your colleagues who comment on andwho read your work. In presenting your study, tell the reader what it is that you areplanning to do in your study and then ends with you doing it. Someone who is reliableis someone whom you can depend on in a certain situation. They are consistent: Theydo it the same way all of the time, and they let you know if they had to change theirplans. The same would hold for reliability in qualitative research: Be open with whatit is you are going to do, give the details of your design and process as best you can,and then follow the plan each and every time you collect data, or transcribe, or
categorize, and so forth. If through the process you decide that it would make sense toadjust what it is you are doing, note the change, describe it in detail, and followthrough with the new plan. Throughout this process, you invite the reader andor co-participants in the study to dialogue with you as to how you are doing with yourdescription of what it is you are doing and the actual carrying out of the plan (Chenail,1994).If you are successful in carrying out this plan of being open in your presentation ofyour study, other researchers should be able to come along after you, and be able tostep into your shoes. This is very important for two reasons: One, this will allow yourreaders to judge the validity of your efforts. After having been presented both theprocess and the results of the analysis, readers are in a much better position to see ifthey can see what you were seeing or at least accept that your take on the data was avalid one. Two, by re-presenting plenty of the data, you will also allow the reader tosee what they can see in the data. It is a way to "share the wealth" and to inviteanother to continue the inquiry and conversation (Chenail, 1994).2. Data as StarI believe that the data, which have been painfully collected, should "be the star" in therelationship. By this I mean, the main focus in qualitative research is the data itself, inall its richness, breadth, and depth. When all is said and done, the "quality" in aqualitative research project is based upon how well you have done at collectingquality data. So, it only seems natural that when it comes time to present "the fruits ofyour labor," you should make every effort to feature the data in your presentations.In addition to the considerations stated in the earlier section on Openness, there arestill other ways to embrace this aspect in your work, especially when it comes to data.Present as much of the data you collected as is physically possible in your papers andpresentations. Store your data and make it available for others to view and re-view. Ofcourse in doing this you will have to notify the other participants in your study thatthis is your intention and secure their permission. A good example of this trend inqualitative research is Waitzkins (1991) recent work. Not only did he present lengthyexcerpts in his book from the transcripts he collected and analyzed, but he also madethe complete transcripts available to the reader by storing them with a nationalclearinghouse. In this way, anyone who wanted to study the complete transcriptscould do so.Another factor in this data-rich notion of presenting qualitative research is the "justone thing" rule. In order to give your data its due in your conference presentations andin your writings, you have to concentrate on one aspect of your study. For instance, ifyou have been studying doctor-patient interaction by examining transcripts and audio
recordings of doctors talking with patients during routine visits to the clinic, you willhave to select one aspect of this wonderfully rich interpersonal communication, say"taking the patients personal history," and concentrate your efforts on re-presentingjust this one feature of the talk.Of course, there are other ways to present more and different aspects of your analysis,but this effort to fit more themes, categories, or features in your time-limited talks orword-limited papers will require you to do a number of things. One, you will have toreduce your data in order to present more of it. This can be done by using quantitativetechniques like structuring your data into central tendencies and ranges, or frequencyguided shapes. Two, you may have to greatly limit the number of examples you canpresent per category. And three, you may have to do more "summarizing talk" inwhich you talk about your data or above your data instead of presenting the data in thejuxtaposing style described below.As data analysis turns to data presentation it can be easy for the researcher and readeralike to loose a sense of place for the data. As the process of winnowing the databegins, the emphasis becomes one of selecting one poignant exemplar after another asall of the significant "wheat" (i.e., that data which is deemed significant or exemplary)gets separated from all of the non-significant "chaf" (i.e., that data which isdetermined to be non-significant or redundant) (Hopper, 1986). To balance thistendency towards data separation and data isolation, researchers have to take greatcare to situate their data so readers can have an appreciation of "from whence the datacame" and can begin to evaluate the meaning of the data in context.Acknowledging that there is always a degree of reduction in qualitative research,researchers must still endeavor to give the readers an impression of where the datawas found, how was it generated and collected, and what was its context prior to itsbeing separated in analysis and isolated in the re-presentation process? Although thistask of "grounding the data" may sound daunting, there are a number of ways that thedata selected for analysis and presentation in a paper can be contextualized and"placed" for the readers.One way to do this is to begin to think like a novelist, someone who must create asetting in which to place their characters. For without a setting, it would be quitedifficult for readers to have a sense of just who these fictional folks are. "I alwaysbegin a novel with place," writes Shelby Hearon (1992, p. 17) in her article, "WhereFiction Lives...Placing Fiction." For her place is synonymous with plot, but not theplot taken to mean a series of events in a story. In contrast, Shelby follows her Oxforddictionary and considers plot to be "a small portion of any surface differing incharacter and aspect from the rest" (p. 17). To her, "this seems...to be a fine way to
think about where fiction begins: with that plot, that parcel of land, that place that youmake yours and no one elses" (p. 17).I think the same holds for researchers when they write their case studies andethnographies. The studies started in some place. The data was collected at somelocal. The text started with some context. For their studies to then have situationalvalidity when finally appearing in print, researchers must re-construct the datassetting and allow us to return to the place where the data once lived. This is theartistry that is writing qualitative research.One of the beauties of this qualitative research is how qualitative researchers seek outthese places of character and aspect and attempt to make the events and happenings ofthese parcels of data come alive for the reader. To this artistic end, qualitativeresearchers have to think how to create "round" informants instead of "flat" ones intheir papers. Researchers have to work hard at developing the details of these plots sothat their readers can have a sense of where the data was naturally occurring when itwas originally encountered by the researcher. The readers have to have a clear pictureof the datas setting so that they can begin to have a perspective from which to judgethe observations being made by the researcher regarding the data. Without the setting,without the developed characterization, there can be no context and with no contextfor the data, there can be no significant meaning in the analysis.Robert Hopper (1986) in his paper, "Speech, for Instance. The Exemplar in Studies ofConversation," presents another good way qualitative researchers can create context intheir data re-presentations. His technique, which I call "letting the tape recorder run,"is a very simple process to accomplish a context building goal. In doing aconversation analysis, one major step is to select exemplary pieces of talk forcommentary and review. Within a conversation there may be many moments ofinteraction which pique a conversation analysts curiosity. After repeated listeningsand transcribing, the researcher is ready to say something about this bit of winnoweddata.Instead of re-presenting just the slice of talk which is the focus of the analysis, Hoppersuggests that researchers should display their data with ample preceding andfollowing talk so that the readers can get a sense of flow and be able to see the data inits natural setting. In this way, readers can have a better perspective to judge themerits of the researchers claims regarding the data.By providing this "bigger picture" through this context building, researchers can givetheir data its "star treatment." In addition, readers are provided a good view of theproceedings and are given a solid vantage point to render their critiques of the show.
3. Juxtaposition, Juxtaposition, JuxtapositionWhen Bob Costas was the host of the late night talk show, Later, he asked MelBrooks, "What is your definition of comedy?" Mel answered, "Juxtaposition,Juxtaposition, Juxtaposition!" By this he meant that his approach to comedy was amatter of juxtaposing things which would produce a funny reaction on the part of theaudience. For instance, having the Monster in Young Frankenstein doing a soft shoeroutine while singing the sophisticated song, "Putting on the Ritz," was a comedicjuxtaposition for Mel, and his audience too!In qualitative research, juxtaposition is also the key to producing a qualitypresentation or paper. To do so, you have to juxtapose data excerpts with your talkabout the data. Be it in the presentation of categories, themes, taxonomies, typologies,pictures, or drawings, the essence of presenting qualitative research comes down tohow well you are able to juxtapose the data with your descriptions, explanations,analysis, or commentaries.Also involved in this juxtaposition of data and talk about the data is how you chooseto use "the literature" in this weave. Do you annotate the data by citing relevantprevious studies or theoretical pieces? Do you contrast the data you have collectedwith what has been previously said in the literature about similar data? Do you use thedata to guide you to areas in the literature you had not previously considered? Do youtriangulate your data with the literature as way of validating your observations? In allof these choices, juxtaposition is still the central concern!In this process of juxtaposition, your emphasis should be on staying close to the data.The true art of presenting qualitative research is to be restrained by your data. Dontoverstate the data and dont understate it as well. Keep the whole process as simple aspossible: Look at the data and record that what you see-- Report nothing more andnothing less! If you keep to that aesthetic, your data will help to support the validity ofyour analysis and your analysis will help to feature the richness of your data.An important concept to keep in mind as you juxtapose your data and your talk aboutthe data is that of rhythm. By rhythm, I mean for you to create a template for re-presenting your data so that there is a recognizable pattern throughout the Analysis orFindings section of your paper. In this way, the readers can begin to read in a rhythm.To accomplish this rhythm, you need to structure each phase of your data re-presentation in a similar pattern. For example, the following is a common way inwhich your findings can be displayed:Section Heading
Present the Distinction or FindingIntroduce the First Data Exemplar of this DistinctionDisplay the First Data Exemplar of this DistinctionComment Further on the First Data Exemplarof this DistinctionMake Transition to Second Data Exemplarof this DistinctionDisplay the Second Data Exemplarof this DistinctionComment Further on the Second Data Exemplarof this DistinctionMake Transition to the Next Data Exemplarof this Distinction and Repeat the PatternUntil the Closing of this SectionAs you write (and re-write) your Findings or Analysis section, having a pattern tostructure your text will greatly improve your ability to lay out the data upon whichyou want to comment and then for you to weave your comments throughout thenarrative.As a matter of fact, that is exactly how I construct my Findings sections. After I haveselected my data exemplars (e.g., quotes from a transcript), I arrange them out in theword processing file (see the next section on Data Presentation Strategies for differentideas as to how to do this step). Then, I go from exemplar to exemplar adding mycomments. Sometime I call these steps the "Tarzan Process," because I think of thequotes as vines in the jungle. As I maneuver myself from one quote to the next, Iimagine myself as Tarzan swinging from one vine to another. Its a great way to traveland a fun way to conceptualize the data re-presentation process.Just as the patterning was helpful for you as you wrote up your findings, it will alsoserve your readers well as they begin to navigate through your paper. The soon-to-be-familiar rhythm of your presentation style will serve as an involvement strategy as thereaders will grow accustomed to your pace of data re-presentation. In addition, it willmake it easier for them to go from section to section. Although the data will bechanging, the pattern will remain the same. In this manner, cross-section comparisonscan be made more readily by the readers, which, in my opinion, helps to make thewhole paper reading process much more coherent.
For an excellent example of how this rhythm-making can be accomplished, I suggesttaking a look at the recent paper in Social Science & Medicine by MargareteSandelowski and Linda Corson Jones (1996) entitled, "Healing Fictions: Stories ofChoosing in the Aftermath of the Detection of Fetal Anomalies." As you look over theFindings section of this paper, you should be able to see how the authors create aneasy to follow pattern and they hold to that rhythm throughout their re-presentation ofthe data. One last point about this paper is that you should also take notice howSandelowski and Jones also create simplicity and rhythm in their account byorganizing their data re-presentation around the single concept of "choice." Time andtime again, they use this complex word (Empson, 1989) to draw wonderful andilluminating distinctions in the stories of these women and couples.By keeping to this or another similarly rhythmic pattern, you can help to bring somesimplicity to the complexity of data re-presentation. Throughout all the steps entailedin conducting a qualitative research study, you must always attempt to build in somesort of simplicity. Without it, both you and the reader will be overcome and you allwill end up drowning in a sea of endless data.4. Data Presentation StrategiesConstas second reason for writing his piece was that he wanted to create a taxonomyfor the creators of categories to follow, or at the least, his article would be a helpfulgenerator of possibilities for qualitative researchers to ponder and examine as theyconsidered their tact in a particular research project.In the spirit of Constas paper, I would like to make a few suggestions which shouldgreatly improve qualitative researchers attempts at presenting their carefully collecteddata. These strategies should not be taken as the way or as the only way to presentdata, just some ways with which to play and experiment.The following are just of the many ways data can be arranged and presented:Natural - The data are presented in a shape that resembles the phenomenon beingstudied. For instance, if the data are excerpts from a therapy session, present them in asequential order or in an order that re-presents the flow of the session itself.Most Simple to Most Complex - For sake of understanding, start the presentation ofdata with the simplest example you have found. As the complexity of each example orexemplar presented increases, the reader will have a better chance of following thepresentation. Erving Goffmans work is a good example of this style.
First Discovered/Constructed to Last Discovered/Constructed - The data arepresented in a chronicle-like fashion, showing the course of the researchers personaljourney in the study. This style is reminiscent of an archeological style ofpresentation: What was the first "relic" excavated, then the second and so forth.Quantitative-Informed - In this scheme data are presented according to strategiescommonly found in quantitative or statistical studies. Data are arranged along lines ofcentral tendencies and ranges, clusters, and frequencies.Theory-Guided - Data arrangement is governed by the researchers theory or theoriesregarding the phenomenon being re-presented in the study. For instance, a Marxist-informed researcher might present data from a doctor-patient interview in terms oftalk which shows who controls the means for producing information in the interaction,talk which illustrates who is being marginalized, and so forth. In clinical qualitativeresearch, this approach is quite prevalent as clinicians organize the data in terms oftheir understandings of how doctor-patient, or nurse-patient, and therapist-clientinteract.Narrative Logic - Data are arranged with an eye for storytelling. Researchers plot outthe data in a fashion which allows them to transition from one exemplar to anotherjust as narrators arrange details in order to best relate the particulars of the story.Most Important to Least Important or From Major to Minor - Like thejournalistic style of the inverted pyramid, the most important "findings" are presentedfirst and the minor "discoveries" come last.Dramatic Presentation - This one is the opposite of the inverted pyramid style. Withthe dramatic arrangement scheme, researchers order their data presentation so as tosave the surprises and unforeseen discoveries for last.No Particular Order Order - As it sounds, data are arranged with no particular,conscious pattern in mind, or the researcher fails to explain how or why the data aredisplayed the way they are. ConclusionDoes it sound simple? Well, thats the idea with qualitative research: Try to keep yourmethod simple because in qualitative research the complexity is in the data. If you gettoo complex in your method, the reaction between a complex method and complexdata will be disastrous. The beauty of qualitative inquiry is that by asking simplequestions like "What is care?", "How do physicians and nurses talk with each other?",and "What is the quality of life for our patients?", we can begin to study some of the
most wonderfully complex phenomenons in the world. Qualitative research is thepractice of asking simple questions and getting complex answers. The art of managingboth the simplicity and the complexity is the real secret to being successful atconducting qualitative inquiries. Does it sound exciting? I hope so! ReferencesAtkinson, B., Heath, A., & Chenail, R. (1991). Qualitative research and the legitimacyof knowledge. Journal of Marital and Family Therapy, 17, 161-166.Chenail, R. J. (1994). Qualitative research and clinical work: "Private-ization" and"Public-ation". The Qualitative Report [On-line journal], 2(1), 1, 3-13. AvailableWorld Wide Web: http://alpha.acast.nova.edu/nova/centers/ssss/index.htmlConstas, M. A. (1992). Qualitative analysis as a public event: The documentation ofcategory development procedures. American Educational Research Journal, 29, 253-266.Empson, W. (1989). The structure of complex words. Cambridge, MA: HarvardUniversity Press.Harries-Jones, P. (1995). A recursive vision: Ecological understanding and GregoryBateson. Toronto: University of Toronto Press.Hearon, S. (1992). Where fiction "lives"... placing fiction. Writer, 105(7), 17-18.Hopper, R. (1988). Speech, for instance. The exemplar in studies ofconversation. Journal of Language and Social Psychology, 7(1), 47-63.Sandelowski, M., & Jones, L. C. (1996). Healing fictions: Stories of choosing in theaftermath of the detection of fetal anomalies. Social Science & Medicine, 42(3), 353-361.Waitzkin, H. (1991). The politics of medical encounters: How patients and doctorsdeal with social problems. New Haven, CT: Yale University Press. Author NoteAn earlier version of this paper was presented as part of the following workshop:Burnett, C., Chenail, R., Flemons, D., Green, S., & Polkinghorn, B. (1995,December). Introductory workshop on qualitative research. Workshop presented atthe Tenth Annual Primary Care Research & Statistics Conference, San Antonio, TX.
Ronald J. Chenail, Ph.D. is the Dean of the School of Social Systemic Studies and anAssociate Professor in the Department of Family Therapy at Nova SoutheasternUniversity, Fort Lauderdale, Florida 33314, USA. His e-mail address email@example.com.