¶ … social science research are qualitative and quantitative research methods. Qualitative research is believed to operate from a subjective, constructionist view of reality, whereas quantitative research operates from an objective, positivist viewpoint of the world. There has been quite a bit of debate over the merits of each of these approaches, often with one paradigm belittling the assumptions of the other. The current literature review explores the philosophical foundations of each paradigm, compares their practical differences, and discusses the strengths and weakness of both approaches as they relate to research in the social sciences and to human resources research. The rationale for mixed-methods research, where the two paradigms are combined, is also discussed.
In recent years there has been substantial interest concerning the role of specific paradigms and philosophical assumptions with regards to doing research. There has been a growing concern regarding the adequacy of research methods in social sciences and human resources (HR) studies (Anderson, 2004). This interest developed with the increasing interest in cross-cultural influences in the social sciences and as they related to understandings regarding employees and management. There have been ambiguities in interpreting and utilizing the findings in previous areas of research. Many researchers and past findings have been accused of producing scientific research studies that do not fully explain phenomena as they occur in the real world. A good deal of HR research has been largely empirical predicated on a positivist research philosophy. This is a different approach from the phenomenological research viewpoint that has inspired research in the traditional HR management disciplines. Much of the empirical research in HR has largely evolved from doctoral dissertations underscoring the importance of sound research grounding predominantly where quantitative approaches, primarily hypothesis testing, is concerned (Anderson, 2004). In its traditional context, human resources management has not been a quantitative discipline preferring the qualitative approach (Anderson, 2004; Huselid, 1995). The difference between qualitative and quantitative research reflects two different philosophical viewpoints.
The predominant school of empirical thought has traditionally used a quantitative approach based on research in "hard" science such as biology and medicine (Blalock, 1984). Beginning in the 1970s serious concerns were raised about the limits of quantitative research methods that were associated with the prevalent paradigm of the time, positivism (Blalock, 1984). Positivism presupposes that the world is objective and that scientific methods can inherently measure and represent aspects of the world and explain and predict causal relations among central variables. However, critics countered that positivistic methods take away contexts from meanings during the process of developing quantified measures (Lincoln & Guba, 2000). These critics charge that quantitative measures leave out the subjective interpretations from data, impose the researchers' interpretations on the data, require statistical samples that are not representative of specific groups which does not allow for generalization to individual cases.
Positivism was the dominant influence on social research for many years; however, it has been challenged by critics from two different traditions: interpretive constructionism and critical postmodernism (Blalock, 1984). Constructionism and postmodernism have offered alternative theoretical and methodological research approaches regarding management and organizations by generating interest in political and social issues that positivist-oriented research did not address. Positivistic research relies on experimental or survey methodologies that have been criticized by interpretivists as impose a worldview on subjects as opposed to describing and understanding these views. Postmodernists have argued that positivist methods implied forms of knowledge support capitalist structures and inequality. As a result of these criticisms there has been an interest in qualitative research methods that does not follow the quantitative interpretation of variables and statistical methods, but seeks to delve into the subjective experiences of the research participants (Blalock, 1984). Both quantitative and qualitative research methods should be viewed as complimentary instead of being held as opposites. This literature review discusses and compares the use of qualitative and quantitative research procedures in research and the need to rely on both.
The Philosophy of Qualitative and Quantitative Research Methods
To understand the paradigms of quantitative and qualitative research one should briefly trace their origins. These origins date back to at least to the seventeenth century philosophical debates regarding the nature of knowledge and its relationship to reality. Burrell and Morgan (1979) suggest that assumptions about the nature of reality can be conceptualized in terms of a subjective (qualitative)-objective (quantitative) dimension.
The subjective (qualitative) view is centered on the supposition...
Social Science Research Evans, A. And S. Frank. (2004). Adolescent Depression and Externalizing Problems: Testing Two Models of Comorbidity in an Inpatient Sample. Adolescence. 39 (153) [HIDDEN] Retrieved from: http://findarticles.com/p/articles/mi_m2248/is_153_39/ai_n6145265/ The Scientific Method, though requires data and data analysis to be effective. In its most basic outline, quantitative data is information that can be measured by numbers or numerical values. Quantitative inquiry is a method that is used in scientific methodology to
Quantitative vs. Qualitative Research According to Lopez-Alvarado (2017) and Muijs (n.d.), research design decisions are linked to ontology and epistemology. Ontology refers to the researcher’s beliefs about whether reality is absolute or contextual, universal or relative. Whether the researcher is a realist or a relativist determines research questions and designs, with an increased tendency for relativists to focus on phenomenological and qualitative methods and a realist to use quantitative methods. Muijs
Qualitative vs. Quantitative Social science sometimes debates differences between quantitative and qualitative. On one side, positivists argue quantitative research is objective and measurable where post-positivists argue qualitative analysis allows for a rich understanding of the situation. Although qualitative and quantitative research differ in the techniques, types of data and ethical concerns, they both have their place in psychology. Let us begin by exploring the realm of quantitative research and then move
Alignment helps keep both qualitative and quantitative research studies cohesive, meaningful, and valid. The purpose of the study and its implications for policy or practice should be aligned with the research questions, design, and method. Research by Forster, Grigsby, Unger, et al. (2015) illustrates the concept of alignment in a quantitative study. The research focuses on the links between exposure to violence in the community, social ties with gangs or
Social Science There are, of course, a number of theoretical approaches to social science -- and a number of sub-theories that construct a larger, more detailed template that helps us critique the differences between critical social science, and the positivist and interpretive views. Really, as noted, there are a number of means to an end. There are some fundamental questions that social scientists must answer that have been seminal questions
Quantitative vs. Qualitative Research A comparative analysis of quantitative and qualitative research designs In the conduct of sociological research, the qualitative and quantitative research designs remain the predominant structures in which scientific studies on social phenomena are discovered, analyzed, and interpreted. However, the emergence of quantitative research design prior to the development of the qualitative design created a dichotomy in the field of social science research, wherein preferences for each research design
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