Scientific progress depends on the integrity of data and research findings. Intentionally distorting research data and findings constitutes scientific misconduct and introduces falsehoods into the scientific record. Unintentional distortions arising from questionable research practices (QRPs), such as unsystematically deleting outliers, pose…

Randomised trials are often funded by commercial companies and methodological studies support a widely held suspicion that commercial funding may influence trial results and conclusions. However, these studies often have a risk of confounding and reporting bias. The risk of confounding is markedly reduced in meta-epidemiological studies that…

An advantage of well-designed survey research is that, typically, it yields large volumes of quantitative and qualitative data. A key challenge researchers face is mining and reporting these data appropriately and promptly to inform research publications and presentations. When mixed methods are employed, and researchers attempt to master computer…

Measuring race and ethnicity for administrative data sets and then analyzing these data to understand racial/ethnic disparities present many logistical and theoretical challenges. In this chapter, we conduct a synthetic review of studies on how to effectively measure race/ethnicity for administrative data purposes and then utilize these measures…

This article explores narrative-based, person-centered research, carried out by the author for his PhD dissertation, titled "Modern Day Slavery and the Sex Industry: Raising the Voices of Survivors and Collaborators While Confronting Sex Trafficking and Exploitation in Manitoba, Canada." The article describes interview dynamics…

In most qualitative research studies involving the creation of interview transcriptions, researchers seldom demonstrate much reflexivity about the transcription process, rarely making mention of transcription processes as part of their reporting of data collection and analysis procedures beyond a simple statement that audio- or videotaped data…

Nearly all quantitative analyses in higher education draw from incomplete datasets-a common problem with no universal solution. In the first part of this paper, we explain why missing data matter and outline the advantages and disadvantages of six common methods for handling missing data. Next, we analyze real-world data from 5,905 students across…

Two basic data sources required for research studies have been secondary and primary. Secondary data collection helps the researcher to provide relevant background to the study and are, in most cases, available for retrieval from recorded sources. Primary data collection requires the researcher to venture into the field where the study is to take…

Over the past few years, the focus group method has assumed a very important role as a method for collecting qualitative data in social and behavioural science research. This article elucidates theoretical and practical problems and prospects associated with the use of focus groups as a qualitative research method in social and behavioural science…

I argue in this article that recognizing the role of subjectivity and bringing in the researcher's positionality as a tool in the research process can not only enhance the ethical integrity of the research but also enhance both the research process and the analysis and interpretation of the data. Cultural studies theorists have long argued that…

This highly readable text demystifies the qualitative research process--and helps readers conceptualize their own studies--by organizing the different research paradigms and traditions into coherent clusters. Real-world examples and firsthand perspectives illustrate the research process; instructive exercises and activities build on each other so…

Describes a study of reliability among coders of information for meta-analysis (a quantitative procedure for synthesizing data in primary research reports) of research on life satisfaction in American adults. Identifies sources and areas of disagreement among coders and discusses measures that can be used to enhance intercoder consistency.…

The selection of appropriate data sources for institutional research is discussed. It is suggested that the provision of timely, accurate information for administrative decision-making depends on the researcher's ability to determine which data are relevant to the problem. This is of particular concern for institutional researchers because they…

Reviews the issue of outcome criteria in the light of the relevance-rigor dimension. Counseling psychologists must find a more liberalized approach to research methodology upon which to construct human understanding. Inappropriate methods of data anlaysis are often used in multivariate research. A model for such experiments is suggested. (JAC)

Describes three classes of measurement techniques: (1) interviewing methods; (2) record retrieval procedures; and (3) observation methods. Discusses primary reasons for measurement error. Concludes that, although measurement error can be defined and controlled for, there are other design factors that also must be considered. (CFR)