Strengths and Weaknesses of Quantitative Research

Strengths and Weaknesses of Quantitative Research Strengths _ Testing and validating already constructed theories about how and why phenomena occur _ Testing hypotheses that are constructed before the data are collected _ Can generalize research findings when the data are based on random samples of sufficient size _ Can generalize a research finding when it has been replicated on many different populations and subpopulations _ Useful for obtaining data that allow quantitative predictions to be made _ The researcher may construct a situation that eliminates the confounding influence of many variables, allowing one to more credibly establish cause-and-effect relationships _ Data collection using some quantitative methods is relatively quick (e.g., telephone interviews) _ Provides precise, quantitative, numerical data _ Data analysis is relatively less time consuming (using statistical software) _ The research results are relatively independent of the researcher (e.g., statistical significance) _ It may have higher credibility with many people in power (e.g., administrators, politicians, people who fund programs) _ It is useful for studying large numbers of people Weaknesses _ The researcher’s categories that are used might not reflect local constituencies’ understandings _ The researcher’s theories that are used might not reflect local constituencies’ understandings _ The researcher might miss out on phenomena occurring because of the focus on theory or hypothesis testing rather than on theory or hypothesis generation (called the confirmation bias) _ Knowledge produced might be too abstract and general for direct application to specific local situations, contexts, and individuals

Strengths and Weaknesses of Qualitative Research Strengths _ Data based on the participants’ own categories of meaning _ Useful for studying a limited number of cases in depth _ Useful for describing complex phenomena _ Provides individual case information _ Can conduct cross-case comparisons and analysis _ Provides understanding and description of people’s personal experiences of phenomena (i.e., the emic or insider’s viewpoint) _ Can describe in rich detail phenomena as they are situated and embedded in local contexts _ The researcher almost always identifies contextual and setting factors as they relate to the phenomenon of interest _ The researcher can study dynamic processes (i.e., documenting sequential patterns and change) _ The researcher can use the primarily qualitative method of grounded theory to inductively generate a tentative but explanatory theory about a phenomenon _ Can determine how participants interpret constructs (e.g., self-esteem, IQ) _ Data are usually collected in naturalistic settings in qualitative research _ Qualitative approaches are especially responsive to local situations, conditions, and stakeholders’ needs _ Qualitative researchers are especially responsive to changes that occur during the conduct of a study (especially during extended fieldwork) and may shift the focus of their studies as a result _ Qualitative data in the words and categories of participants lend themselves to exploring how and why phenomena occur _ You can use an important case to vividly demonstrate a phenomenon to the readers of a report _ Determine idiographic causation (i.e., determination of causes of a particular event) Weaknesses _ Knowledge produced might not generalize to other people or other settings (i.e., findings might be unique to the relatively few people included in the research study). _ It is difficult to make quantitative predictions. _ It is more difficult to test hypotheses and theories with large participant pools. _ It might have lower credibility with some administrators and commissioners of programs. _ It generally takes more time to collect the data when compared to quantitative research. _ Data analysis is often time consuming. _ The results are more easily influenced by the researcher’s personal biases and Idiosyncrasies

Strengths and Weaknesses of Mixed Research Strengths _ Words, pictures, and narrative can be used to add meaning to numbers. _ Numbers can be used to add precision to words, pictures, and narrative. _ Can provide quantitative and qualitative research strengths _ Researcher can generate and test a grounded theory. _ Can answer a broader and more complete range of research questions because the researcher is not confined to a single method or approach. _ The specific mixed research designs discussed in this chapter have specific strengths and weaknesses that should be considered (e.g., in a two-phase sequential design, the phase one results can be used to develop and inform the purpose and design of the phase two component). _ A researcher can use the strengths of an additional method to overcome the weaknesses in another method by using both in a research study (this is the principle of complementarity). _ Can provide stronger evidence for a conclusion through convergence and corroboration of findings (this is the principle of triangulation). _ Can add insights and understanding that might be missed when only a single method is used. _ Can be used to increase the generalizability of the results. _ Qualitative and quantitative research used together produces more complete knowledge necessary to inform theory and practice. Weaknesses _ It can be difficult for a single researcher to carry out both qualitative and quantitative research, especially if two or more approaches are expected to be done concurrently (i.e., it might require a research team). _ The researcher has to learn about multiple methods and approaches and understand how to appropriately mix them. _ Methodological purists contend that one should always work within either a qualitative or a quantitative paradigm. _ It is more expensive. _ It is more time consuming. _ Some of the details of mixed research remain to be fully worked out by research methodologists (e.g., problems of paradigm mixing, how to qualitatively analyze the data)