Exploring the Implications of Fuzzy-set Analysis Method in Social Science: Beyond the Border of Qualitative and Quantitative Research Methodologies

2018 ◽  
Vol 13 (2) ◽  
pp. 141-161
Author(s):  
Taewook Huh
Keyword(s):  
Social Science ◽  
Fuzzy Set ◽  
Quantitative Research ◽  
Analysis Method ◽  
Research Methodologies ◽  
Qualitative And Quantitative ◽  
Fuzzy Set Analysis

Data as representations: contextualizing qualitative and quantitative research strategies

2000 ◽  
Vol 39 (1) ◽  
pp. 99-113 ◽  
Author(s):  
Jaan Valsiner
Keyword(s):  
Social Sciences ◽  
Social Science ◽  
Quantitative Research ◽  
Quantitative Methods ◽  
Main Issue ◽  
Research Strategies ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
The Social ◽  
New States

The opposition between “quantitative” and “qualitative” perspectives in contemporary social science is an organizational limitation that directs discussions of the topic away from the main issue - the adequacy of any kind of data in respect to the phenomena they represent. This is particularly complicated if the phenomena are known to include inherent dynamics, are modifiable by the research encounter, or develop towards new states of existence. It is often assumed that qualitative and quantitative methods are mutually exclusive alternatives within a methodological process that is itself unified. The article shows that quantitative methods are derivates of a qualitative process of investigation, which itself can lead to the construction of inadequate data. The issue of the representativeness of the data - qualitative or quantitative - remains the central unresolved question for the methodology of the social sciences. Errors in representation can be diminished by correction of methods through direct (experiential) access to the phenomena, guided by the researcher's educated intuition.

scholarly journals A Comparative Discussion of the Notion of 'Validity' in Qualitative and Quantitative Research

2000 ◽  
Author(s):  
Glyn Winter
Keyword(s):  
Qualitative Research ◽  
Research Methods ◽  
Quantitative Research ◽  
Qualitative Research Methods ◽  
Research Methodologies ◽  
Qualitative And Quantitative ◽  
Quantitative And Qualitative Research ◽  
Similarities And Differences

The issues surrounding the use and nature of the term 'validity' in qualitative research are controversial and many. In this paper, the author attempts to establish that 'validity' is not a single, fixed or universal concept, but rather a contingent construct, inescapably grounded in the processes and intentions of particular research methodologies and projects. The first section of this work deals with the problems faced in defining 'validity' in both quantitative and qualitative research methods and will briefly review other authors' attempts to categorise it. The work will then proceed to distinguish and compare the claims to 'validity' made by quantitative and qualitative researchers, highlighting similarities and differences as they emerge. Finally, an attempt will be made to establish that an understanding of nature of 'truth' is central to any theorisation of 'validity.' It will become clear that it is the affiliations of methodologies, concerning truth, that generate varying notions of 'validity.'

scholarly journals The Usage Specification of Registers in Social Media Instagram

2021 ◽  
Vol 11 (1) ◽  
pp. 42
Author(s):  
Sang Ayu Isnu Maharani ◽  
I Wayan Mulyawan
Keyword(s):  
Social Media ◽  
Discourse Analysis ◽  
Quantitative Research ◽  
Note Taking ◽  
Analysis Method ◽  
Qualitative And Quantitative ◽  
Observation Method

This research is entitled ‘The Usage Specification of Registers in Social Media Instagram’. The aims of this research are identifying and mapping the usage specification of registers in social media Instagram. It also aims at finding find out the function of the usage of the registers. This research is a combination of qualitative and quantitative research. The method applied for this research was observation method with note-taking techniques. The method used to analyze the data was discourse analysis method. To answer the problems formulated in this research, the register theory of Halliday was applied (1994).   Keywords: specification, register, social media, instagram This research is entitled ‘The Usage Specification of Registers in Social Media Instagram’. The aims of this research are identifying and mapping the usage specification of registers in social media Instagram. It also aims at finding find out the function of the usage of the registers. This research is a combination of qualitative and quantitative research. The method applied for this research was observation method with note-taking techniques. The method used to analyze the data was discourse analysis method. To answer the problems formulated in this research, the register theory of Halliday was applied (1994).   Keywords: specification, register, social media, instagram

scholarly journals PERAN SOSIALISASI DALAM MEMEDIASI PENGARUH PERSEPSI DAN SIKAP BURUH TERHADAP PARTISIPASI PADA LAYANAN PROTEKSI KETENAGAKERJAAN

2018 ◽  
pp. 2055
Author(s):  
Trisna Yundhari ◽  
A.A.I.N Marhaeni ◽  
I Gusti Bagus Indrajaya
Keyword(s):  
Quantitative Research ◽  
Analytical Techniques ◽  
Average Score ◽  
Labor Protection ◽  
Analysis Method ◽  
Labor Participation ◽  
Qualitative And Quantitative ◽  
Worker Attitudes ◽  
Independent Variable ◽  
The Relationship

This research is a qualitative and quantitative research which is analyzed in descriptions by describing or describing the collected data conducted in Blahbatuh District, Gianyar Regency. Analytical techniques of this study using two methods of data analysis. First, by using factor analysis methods to describe a state or a concept, the planned variables will be treated as indicators of either the latent independent variable or the latent dependent. Secondly, by using path analysis method to know the relationship pattern between three or more and can not be used to confirm or reject the hypothesis. The sample used in this study were 99 respondents. The result of the analysis shows that the level of labor participation is seen from labor perception indicator, labor attitude, and socialization participation in Blahbatuh sub-district, Gianyar regency is positive. This is seen from the average score obtained from each indicator, labor perception, labor attitude, and socialization of labor, and labor participation. Indirectly, workers' perceptions and worker attitudes have a positive and significant influence on participation in labor protection services to explore the participation of socialization in labor protection services in Blahbatuh sub-district, Blahbatuh sub-district.

Scope

2012 ◽  
Author(s):  
Gary Goertz ◽  
James Mahoney
Keyword(s):  
Social Science ◽  
Quantitative Research ◽  
Causal Model ◽  
Social Science Research ◽  
Science Research ◽  
Model Fit ◽  
Empirical Testing ◽  
Qualitative And Quantitative ◽  
The Relationship ◽  
Causal Complexity

This chapter focuses on scope conditions in qualitative and quantitative research. It begins with a simple example, Hooke's law from physics, to illustrate the concept of “scope.” It then considers some of the most popular “within-model” responses to causal heterogeneity problems, showing that the option of changing the causal model to address causal heterogeneity issues is more attractive to quantitative researchers than to qualitative researchers. It also examines how the existence of causal complexity and concerns about fit with data can lead scholars to use scope conditions. Finally, it discusses the relationship between empirical testing and the proposed scope of theories and suggests that issues of scope raise Fundamental Tradeoffs in social science research, including tradeoffs concerning the tension between generality and parsimony, and between generality and issues of model fit.

Semantics, Statistics, and Data Transformations

2012 ◽  
Author(s):  
Gary Goertz ◽  
James Mahoney
Keyword(s):  
Qualitative Research ◽  
Fuzzy Set ◽  
Quantitative Research ◽  
Fundamental Principle ◽  
Quantitative Culture ◽  
Variable Transformation ◽  
Data Transformations ◽  
Qualitative And Quantitative ◽  
Research Paradigms ◽  
Norms And Values

This chapter examines the qualitative view of variable transformation using the Fundamental Principle of Variable Transformation. According to the Fundamental Principle of Variable Transformation, all transformations of variables must be meaning preserving or increasing. Within the qualitative research tradition, transformations that do not conform to this principle are viewed as suspect. In the quantitative culture, variable transformations respond to the imperatives of statistics, whereas qualitative scholars work under a different set of norms and values that emphasize the importance of semantics and the meaning embodied in concepts. The chapter first considers standardization versus meaning retention as well as logging versus fuzzy-set transformations in qualitative and quantitative research paradigms before concluding with a discussion of rationales behind data transformations.

Meaning and Measurement

2012 ◽  
Author(s):  
Gary Goertz ◽  
James Mahoney
Keyword(s):  
Membership Function ◽  
Fuzzy Set ◽  
Quantitative Research ◽  
Fundamental Principle ◽  
The Other ◽  
Membership Functions ◽  
Research Paradigm ◽  
Fuzzy Set Analysis ◽  
Quantitative Indicators ◽  
The Relationship

This chapter examines how translation problems are manifested across the qualitative and quantitative cultures for issues related to concepts and measurement. In the quantitative research paradigm, one speaks of variables and indicators. X and Y are normally latent, unobserved variables for which one needs (quantitative) indicators. In practice, quantitative scholars might fuse the variable and the indicator into one entity. Qualitative researchers, on the other hand, tend to use the variable-indicator language which causes a translation problem and does not capture research practices in the qualitative culture. The chapter first considers the notion of “membership function,” which is important in the fuzzy-set approach to concepts, before discussing a fundamental principle of semantic transformations in the qualitative culture: the Principle of Unimportant Variation. It also explains the relationship between scale types and membership functions in fuzzy-set analysis.

scholarly journals Mixed-Methods Research Methodologies

2015 ◽  
Author(s):  
Steven Terrell
Keyword(s):  
Quality Control ◽  
Mixed Methods ◽  
Mixed Method ◽  
Mixed Methods Research ◽  
Quantitative Research ◽  
Control Methods ◽  
Research Methodologies ◽  
Four Dimensions ◽  
Ethical Concerns ◽  
Qualitative And Quantitative

Mixed-Method studies have emerged from the paradigm wars between qualitative and quantitative research approaches to become a widely used mode of inquiry. Depending on choices made across four dimensions, mixed-methods can provide an investigator with many design choices which involve a range of sequential and concurrent strategies. Defining features of these designs are reported along with quality control methods, and ethical concerns. Useful resources and exemplary study references are shared.

scholarly journals Evaluating ICT Provision in Selected Communities in South Africa

10.28945/3168 ◽  
2007 ◽  
Author(s):  
Patience Ngcobo ◽  
Marlien Herselman
Keyword(s):  
South Africa ◽  
Rural Communities ◽  
Quantitative Research ◽  
Research Methodologies ◽  
Qualitative And Quantitative

The main focus of this paper is to evaluate the provision of ICT in three rural communities in Kwa-Zulu Natal (KZN) in South Africa to determine how the needs of these communities can be addressed. Both qualitative and quantitative research methodologies were applied to address this focus. Results are compared and recommendations are presented that may best meet the needs of the rural communities.

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