An array of qualitative data analysis tools: A call for data analysis triangulation.

One of the most important steps in the qualitative research process is analysis of data. The purpose of this article is to provide elements for understanding multiple types of qualitative data analysis techniques available and the importance of utilizing more than one type of analysis, thus utilizing data analysis triangulation, in order to understand phenomenon more fully for school psychology research and beyond. The authors describe seven qualitative analysis tools: methods of constant comparison, keywords-in-context, word count, classical content analysis, domain analysis, taxonomic analysis, and componential analysis. Then, the authors outline when to use each type of analysis. In so doing, the authors use real qualitative data to help distinguish the various types of analyses. Furthermore, flowcharts and tables are provided to help delineate when to choose each type of analysis. Finally, the role of computer-assisted software in the qualitative data-analytic process is discussed. As such, use of the analyses outlined in this article should help to promote rigor in qualitative research. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Qualitative data analysis: A compendium of techniques and a framework for selection for school psychology research and beyond.

Qualitative researchers in school psychology have a multitude of analyses available for data. The purpose of this article is to present several of the most common methods for analyzing qualitative data. Specifically, the authors describe the following 18 qualitative analysis techniques: method of constant comparison analysis, keywords-in-context, word count, classical content analysis, domain analysis, taxonomic analysis, componential analysis, conversation analysis, discourse analysis, secondary analysis, membership categorization analysis, narrative analysis, qualitative comparative analysis, semiotics, manifest content analysis, latent content analysis, text mining, and microinterlocutor analysis. Moreover, the authors present a new framework for organizing these analysis techniques via the four major sources of qualitative data collected: talk, observations, drawings/photographs/videos, and documents. As such, the authors hope that our compendium of analytical techniques should help qualitative researchers in school psychology and beyond make informed choices for their data analysis tools. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Consensual Qualitative Research: An Update.

The authors reviewed the application of consensual qualitative research (CQR) in 27 studies published since the method's introduction to the field in 1997 by C. E. Hill, B. J. Thompson, and E. N. Williams (1997). After first describing the core components and the philosophical underpinnings of CQR, the authors examined how it has been applied in terms of the consensus process, biases, research teams, data collection, data analysis, and writing up the results and discussion sections of articles. On the basis of problems that have arisen in each of these areas, the authors made recommendations for modifications of the method. The authors concluded that CQR is a viable qualitative method and suggest several ideas for research on the method itself. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Facilitating rigorous qualitative research in rehabilitation psychology.

Qualitative research methods have much to contribute to theoretical and applied knowledge in rehabilitation psychology. However, as a discipline, rehabilitation psychology has been behind the curve in employing qualitative methods. Objectives: This article is a summary of the state of qualitative research in rehabilitation and an introduction to various methodological dimensions to consider in implementing qualitative rehabilitation psychology research. Types and examples of qualitative rehabilitation research are presented. Criteria for evaluating qualitative research are discussed. Finally, the majority of this article is devoted to presenting the various methodological dimensions on which researchers must make decisions in designing and implementing rigorous qualitative research (e.g., paradigms, methods, data collection strategies, data analysis procedures, reliability/validity). Conclusions: Rehabilitation psychology has much to gain through qualitative research, and success in incorporating qualitative evidence will be ensured by rehabilitation psychologists learning and rigorously implementing qualitative methods. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Quality and Trustworthiness in Qualitative Research in Counseling Psychology.

This article examines concepts of the trustworthiness, or credibility, of qualitative research. Following a "researcher-as-instrument," or self-reflective, statement, the paradigmatic underpinnings of various criteria for judging the quality of qualitative research are explored, setting the stage for a discussion of more transcendent standards (those not associated with specific paradigms) for conducting quality research: social validity, subjectivity and reflexivity, adequacy of data, and adequacy of interpretation. Finally, current guidelines for writing and publishing qualitative research are reviewed, and strategies for conducting and writing qualitative research reports are suggested. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Evaluating the use of exploratory factor analysis in psychological research.

Despite the widespread use of exploratory factor analysis in psychological research, researchers often make questionable decisions when conducting these analyses. This article reviews the major design and analytical decisions that must be made when conducting a factor analysis and notes that each of these decisions has important consequences for the obtained results. Recommendations that have been made in the methodological literature are discussed. Analyses of 3 existing empirical data sets are used to illustrate how questionable decisions in conducting factor analyses can yield problematic results. The article presents a survey of 2 prominent journals that suggests that researchers routinely conduct analyses using such questionable methods. The implications of these practices for psychological research are discussed, and the reasons for current practices are reviewed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Forensic Study for Causes of Fall Using Fault Tree Analysis

A woman fell on a ramp in front of a pub and broke her ankle. She had had some drinks in the pub. Questions have been asked as who was to blame, the woman herself, her shoes, or the ramp. The writer introduces a fault tree model that can be used to solve the problem both qualitatively and quantitatively. The graphical model shows the interrelationships among the possible causes contributing to the fall. The qualitative and quantitative analyses produce the ranking of the minimal cut sets of causes that are most likely to contribute to the fall. Logical assessment and building codes support the qualitative analysis. The quantitative analysis requires the use of probability values. Some of these values are readily available, while others call for adequate judgment. A step-by-step process of solving the problem is presented in this paper.     

Challenges to engaging Black male victims of community violence in healthcare research: Lessons learned from two studies.

A dearth of literature exists on barriers to conducting research with Black male victims of community violence, despite the need for evidence-based postinjury interventions. This study used qualitative data from a cross-sectional interview study (n = 16) and a pilot intervention study (n = 11) conducted in Boston, MA to identify challenges and facilitators to conducting research with Black male victims of community violence, particularly with regard to recruitment and maintenance of a study sample. Qualitative methods, including Grounded Theory and ethnography, were used to analyze the data. Challenges included a fear of police involvement, an impression of “snitching” when disclosing personal information, mistrust of research motives, suspicion of the informed consent process, the emotional impact of the trauma itself, and logistical issues. Facilitators to research included monetary incentives and motivation to help oneself and others. Participant recommendations on recruitment methods relating to approach and timing are provided. Findings from this study may assist in the planning of research studies for Black male victims of community violence. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Mixed-effects logistic regression for estimating transitional probabilities in sequentially coded observational data.

This article demonstrates the use of mixed-effects logistic regression (MLR) for conducting sequential analyses of binary observational data. MLR is a special case of the mixed-effects logit modeling framework, which may be applied to multicategorical observational data. The MLR approach is motivated in part by G. A. Dagne, G. W. Howe, C. H. Brown, & B. O. Muthén (2002) advances in general linear mixed models for sequential analyses of observational data in the form of contingency table frequency counts. The advantage of the MLR approach is that it circumvents obstacles in the estimation of random sampling error encountered using Dagne and colleagues' approach. This article demonstrates the MLR model in an analysis of observed sequences of communication in a sample of young adult same-sex peer dyads. The results obtained using MLR are compared with those of a parallel analysis using Dagne and colleagues' linear mixed model for binary observational data in the form of log odds ratios. Similarities and differences between the results of the 2 approaches are discussed. Implications for the use of linear mixed models versus mixed-effects logit models for sequential analyses are considered. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Mixing qualitative and quantitative research in developmental science: Uses and methodological choices.

Multiple methods are vital to understanding development as a dynamic, transactional process. This article focuses on the ways in which quantitative and qualitative methodologies can be combined to enrich developmental science and the study of human development, focusing on the practical questions of "when" and "how." Research situations that may be especially suited to mixing qualitative and quantitative approaches are described. The authors also discuss potential choices for using mixed quantitative- qualitative approaches in study design, sampling, construction of measures or interview protocols, collaborations, and data analysis relevant to developmental science. Finally, they discuss some common pitfalls that occur in mixing these methods and include suggestions for surmounting them. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Issues for consideration when choosing a qualitative data management system

A primary issue in conducting qualitative research is the time required for data analysis. Qualitative research can be costly, since data analysis is generally labour intensive and our time factors into money. There is, unfortunately, no magic formula for hastening the conceptual tasks associated with qualitative analysis, yet effective qualitative data management systems (QDMS) expedite the mechanical tasks, those tasks associated with storing and retrieving qualitative data. Rapid and smooth data management increases the time one can allot to data analysis. Although computer QDMS are increasingly recommended for their time-saving potential in relation to data management, some significant issues associated with the adoption of a computer versus a manual QDMS have not yet been fully explored. The purpose of this paper is to present major issues researchers should consider in choosing a computer or a manual QDMS. These issues include availability and accessibility, comfort, appropriateness, efficiency, thoroughness and contextualization.     

Psychometric approaches for developing commensurate measures across independent studies: Traditional and new models.

[Correction Notice: An erratum for this article was reported in Vol 14(4) of Psychological Methods (see record 2009-22665-007). In this article, the authors wrote, "To our knowledge, the multisample framework is the only available option within these [latent variable] programs that allows for the moderation of all types of parameters, and this approach requires a single categorical moderator variable to define the samples.” Bengt Muthén has clarified for the authors that some programs, including Mplus and Mx, can allow for continuous moderation through the implementation of nonlinear constraints involving observed variables, further enlarging the class of MNLFA models that can be fit with these programs.] When conducting an integrative analysis of data obtained from multiple independent studies, a fundamental problem is to establish commensurate measures for the constructs of interest. Fortunately, procedures for evaluating and establishing measurement equivalence across samples are well developed for the linear factor model and commonly used item response theory models. A newly proposed moderated nonlinear factor analysis model generalizes these models and procedures, allowing for items of different scale types (continuous or discrete) and differential item functioning across levels of categorical and/or continuous variables. The potential of this new model to resolve the problem of measurement in integrative data analysis is shown via an empirical example examining changes in alcohol involvement from ages 10 to 22 years across 2 longitudinal studies. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Qualitative research and its role in play therapy research.

The role and value of qualitative research for play therapy is the focus of this article. The premise is that qualitative research is a natural extension of the therapeutic process and thus can make a contribution to play therapy in the development of models and theories that will lead to future research and development. Qualitative research is placed within the context of current issues related to research in play therapy. The characteristics of qualitative research are presented and linked to the therapeutic process. Suggested research questions appropriate for qualitative inquiry are suggested. We can use qualitative research to build our understanding of the therapeutic process and the relationships in therapy helping to construct a model of change and a theory of growth change within play therapy. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Mundane aesthetics.

With the publication of Zür experimentalen ?sthetik (1871) and Vorschule der ?sthetik (1876), Fechner laid the foundations for a new field termed experimental aesthetics, and provided three methods for empirical research. Of these, the method of choice has dominated subsequent research. It is argued that this method, in combination with a narrow, post-Baumgarten definition of aesthetics as pertaining mainly to the experience of art, has not served aesthetics well. In so doing it has overlooked the vast corpus of everyday objects for which people engage in aesthetic choice. Termed mundane aesthetics, this represents the low end, design, as distinct from the high end, art. The aesthetics of the mundane represents everyday reality, far removed from the rarefied pursuit of art. A study is reported into that most mundane and ubiquitous activity, selecting a paint color for the home. It eschews the laboratory and, instead, uses a retrospective method supported by qualitative data analysis (NVivo). The results indicate that aesthetic choice involves processes that are far from uniform, far from instantaneous (cf. laboratory studies), and that employ both internal and external aids reflecting cognitive, emotional, and social considerations. Selecting a wall color emerges as a surprisingly sophisticated process and, on the basis of the present study, one that women appear better equipped to perform than men. A parallel is drawn with the domain of decision research, particularly naturalistic decision-making. Mundane aesthetics involves a decision process, and not simply an affective choice. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Integrative data analysis: The simultaneous analysis of multiple data sets.

There are both quantitative and methodological techniques that foster the development and maintenance of a cumulative knowledge base within the psychological sciences. Most noteworthy of these techniques is meta-analysis, which allows for the synthesis of summary statistics drawn from multiple studies when the original data are not available. However, when the original data can be obtained from multiple studies, many advantages stem from the statistical analysis of the pooled data. The authors define integrative data analysis (IDA) as the analysis of multiple data sets that have been pooled into one. Although variants of IDA have been incorporated into other scientific disciplines, the use of these techniques is much less evident in psychology. In this article the authors present an overview of IDA as it may be applied within the psychological sciences, discuss the relative advantages and disadvantages of IDA, describe analytic strategies for analyzing pooled individual data, and offer recommendations for the use of IDA in practice. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Use of both qualitative and quantitative approaches to study job stress in different gender and occupational groups.

Gender differences in job stress were investigated, collecting both qualitative (stressful incidents at work) and quantitative (rating scales of commonly experienced job stressors and strains) data from a sample of university employees. Content analyses of the qualitative data revealed 5 major job stressors, 5 major psychological strains, and 4 major physical strains experienced by both genders. When comparisons are made between men and women on their job stress experiences, a potential confounder is occupation, for which the authors controlled. While the authors controlled for occupation, women reported more overall psychological strains (as indicated by the qualitative data) and depression (as indicated by the quantitative data) than did men. Conversely, while the authors controlled for gender, faculty reported more anger and less frustration (as indicated by the qualitative data) and less turnover intentions (as indicated by the quantitative data) than did support staff. In this study, both qualitative and quantitative data indicated interaction effects between gender and occupation in predicting job stressors and strains. Finally, there was a stronger relation between interpersonal conflicts and negative emotions/job satisfaction were stronger for faculty than for staff. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

基于LabVIEW和TCP的数据采集系统的开发及应用

在冶金自动化生产线调试及生产过程中,需要对过程数据进行记录以便于故障分析。现有的组态软件可以记录过程数据,但更新周期较长,数据记录不完整;IBA公司的过程数据采集(PDA)系统采集精度高,但价格又较昂贵。因此,中冶京诚工程技术有限公司自主开发了一套数据采集系统CERI PDA,它以LabVIEW为开发平台,通过TCP连接实现PLC与数据采集系统的通信,具有数据采集、数据监视和存储、离线数据分析等功能,能够一次接收多周期信号数据,并可以最小化加载数据文件。该系统先后应用于唐山春兴冷轧薄板厂的冷轧生产线和九江钢铁公司的方坯连铸生产线,取得了良好效果。该系统操作简单,功能实用,成本较低,是进行系统调试和故障分析的有力工具。