Data sets and quantitative research in the study of intergovernmental organizations

2015 ◽  
Author(s):  
Erik Gartzke ◽  
Christina Schneider
Keyword(s):  
Quantitative Research ◽  
Intergovernmental Organizations ◽  
Data Sets

scholarly journals Understanding Online Fast Fashion Evaluative Cues Used By Generation Y and Z Consumers

2021 ◽  
Author(s):  
Emilie Chan
Keyword(s):  
Generation Y ◽  
Quantitative Research ◽  
Research Study ◽  
Data Sets ◽  
Generational Cohorts ◽  
Online Retailing ◽  
Online Questionnaire ◽  
Fast Fashion ◽  
Shopping Behaviour ◽  
Spss Software

Fast fashion and online retailing are growing at incredible rates. Simultaneously, Generation Y and Z consumers are becoming increasingly important generational cohorts to understand due to their population size and growing spending power. This quantitative research study explores the salient apparel and key online retailing cues used during decision-making by a Canadian consumer sample of 416 individuals, from both generational cohorts, when shopping online for fast fashion. Data collected is also used to make preliminary findings on online promotional and advertising cues used by both generational cohorts. Shopping behaviour is clustered to provide actionable insight, and retailer recommendations are made based on data collected from this study. An online questionnaire survey has been used to collect data, and IBM Statistical Package for Social Sciences (SPSS) software was used to analyze all data sets.

Paying Attention to the Trees in the Forest, or a Call to Examine Agency-Specific Stories

2018 ◽  
Vol 39 (4) ◽  
pp. 523-543 ◽  
Author(s):  
Ellen V. Rubin ◽  
Keith P. Baker
Keyword(s):  
Performance Management ◽  
Case Studies ◽  
Quantitative Research ◽  
Case Study Research ◽  
Large Data ◽  
Diversity Management ◽  
Data Sets ◽  
Study Research ◽  
Qualitative And Quantitative

Public administration scholarship needs to strike a better balance between large sample studies and in-depth case studies. The availability of large data sets has led us to engage in empirical research that is broad in scope but is frequently devoid of rich context. In-depth case studies can help to explain why we observe particular relationships and can help us to clarify gaps and inconsistencies in theory. Our argument for more case studies aims to encourage researchers to bridge insights from qualitative and quantitative research through triangulation. We describe the value of case study research, and qualitative and quantitative design options. We then propose opportunities for case study research in public personnel scholarship on patronage pressures, performance management, and diversity management.

Military Coups d’État and Their Causes

2021 ◽  
Author(s):  
Fabrice Lehoucq
Keyword(s):  
Quantitative Research ◽  
Data Sets ◽  
Third Wave ◽  
Chief Executives ◽  
The Third ◽  
Limited Dependent Variables ◽  
The 1960S ◽  
The Cold War ◽  
The Military ◽  
Coups D'etat

There have been three waves of scholarship on military coups d’état (or simply “coups”)—the unconstitutional replacement of chief executives by military officers—since the 1960s. The first used case studies to explore why the military overthrows governments. One of its central findings was that military uprisings were an integral part of political succession in many countries. A second wave produced the “aggregate studies” that were the first to deploy cross-national databases to identify the measurable features that distinguished more from less coup-prone political systems. These studies revealed, among other things, that coups proliferated in places with a history of instability. The third and current wave of scholarship takes advantage of the development of statistical software for limited dependent variables—then unavailable, now commonplace—to recast the quantitative research on coups. Two core findings have survived disconfirmation since the start of the third wave. First, higher income countries have fewer coups, though the effects are small (and become even weaker when models only contain developing countries). Second, “political legacy effects” mean that the probability of a coup declines with time since the last military uprising. Much of the latest wave of research pinpoints factors—like coup proofing, less inequality, or the end of the Cold War—that reduce the probability of a coup. The development of ever more sophisticated statistical techniques to divine the causes of instability, nevertheless, relies on off-the-shelf data sets and coup catalogs whose validity—properly understood as accuracy—is questionable. Only a greater attention to accuracy and complementary methods promise to produce a comprehensive account of why the military topples governments in some, but not in other, places.

A Quantitative Approach to Evaluating International Environmental Regimes

2002 ◽  
Vol 2 (4) ◽  
pp. 58-83 ◽  
Author(s):  
Ronald B. Mitchell
Keyword(s):  
Quantitative Analysis ◽  
Behavioral Change ◽  
Quantitative Research ◽  
Data Sets ◽  
Regime Effectiveness ◽  
Explanatory Factors ◽  
Environmental Regimes ◽  
Dependent Variables ◽  
Using Data ◽  
The Many

Quantitative analysis of environmental regime effects can complement qualitative analyses by allowing investigation of variation in the effects of different regimes as well as the causes and conditions that explain that variation. Such analysis involves developing metrics that allow comparison of the influence of disparate regimes, models that distinguish regime influence from other explanatory factors, and data sets of independent and dependent variables of sufficient quality to support quantitative analysis. The many theoretical, methodological, and empirical obstacles to undertaking quantitative research on regime effectiveness are daunting but surmountable. By using data regarding component parts of regimes (“subregimes”) broken down to the country and year level, quantitative techniques offer promise in identifying which regimes induce greater behavioral change and greater “effort” and, more importantly, what characteristics of those regimes and the context in which they operate explain their greater success.

scholarly journals Relationships between Association of Research Libraries (ARL) Statistics and Bibliometric Indicators: A Principal Components Analysis

2017 ◽  
Author(s):  
Dean Hendrix
Keyword(s):  
Principal Components Analysis ◽  
Principal Components ◽  
Quantitative Research ◽  
Bibliometric Indicator ◽  
Data Sets ◽  
Research Libraries ◽  
Association Of Research Libraries ◽  
Size Dependent ◽  
Dependent Variables ◽  
Components Analysis

This study analyzed 2005–2006 Web of Science bibliometric data from institutions belonging to the Association of Research Libraries (ARL) and corresponding ARL statistics to find any associations between indicators from the two data sets. Principal components analysis on 36 variables from 103 universities revealed obvious associations between size-dependent variables, such as institution size, gross totals of library measures, and gross totals of articles and citations. However, size-independent library measures did not associate positively or negatively with any bibliometric indicator. More quantitative research must be done to authentically assess academic libraries’ influence on research outcomes.

scholarly journals Incorporating intersectionality into quantitative research methods in public health

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
G Bauer ◽  
A Scheim
Keyword(s):  
Public Health ◽  
Statistical Methods ◽  
Health Research ◽  
Quantitative Research ◽  
Public Health Research ◽  
Data Sets ◽  
Quantitative Research Methods ◽  
Equal Interest ◽  
Additive Scale ◽  
Variable Measurement

Abstract Introduction The use of intersectionality as an explicit theoretical framework in quantitative public health research is relatively recent, and has involved a wide array of study design and statistical methods. As best practices have not been identified, guidance for research design and analysis is needed. Methods We draw on a review of the literature and our own methods publications to present an overview of key considerations in approaching public health research from an intersectional perspective. Results Key considerations differ for descriptive studies of intersectional inequalities and analytic studies of potential causes of those inequalities, as research methodologies and their strengths and limitations differ. For descriptive studies, considerations include specification of intersectional groups, multiplicative vs. additive scale for analysis of effects and interactions, limitations of data sets, whether all intersectional groups are of equal interest, and choosing statistical methods. For analytic studies, considerations include whether potential causal factors are relevant and measurable for all intersections or are specific to some, variable measurement, different options in standardization or control of confounding, and statistical analysis methods. Discussion We present considerations in incorporating intersectionality frameworks, and provide tools for conceptualizing intersectionality-informed quantitative public health research.

Consumer responses to online fashion renting: exploring the role of cultural differences

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Stacy H. Lee ◽  
Ran Huang
Keyword(s):  
Cultural Differences ◽  
Structural Equation ◽  
Quantitative Research ◽  
Reasoned Action ◽  
Process Models ◽  
Data Sets ◽  
Chinese Consumers ◽  
Content Type ◽  
The Usa ◽  
Ecological Importance

PurposeThe purpose of this study is to explore consumer behaviour in the context of online fashion renting by applying the theory of reasoned action (TRA) to online fashion rental services and comparing how consumers perceive online fashion renting in terms of its ecological importance and compatibility with the cultures of the USA and China.Design/methodology/approachQuantitative research was conducted, and 646 data sets were collected from a research firm within three weeks. Prior to launching the main survey, back-and-forth translation processes were engaged for the Chinese survey. To test the proposed hypotheses, structural equation modelling (SEM) and PROCESS models were employed.FindingsThe results suggested that both online fashion renting attitudes and social norms positively influenced online fashion renting intentions. Meanwhile, online fashion renting attitudes were positively impacted by perceived compatibility and perceived ecological importance. The moderating effect of national difference was also examined. Specifically, the positive effect of perceived compatibility on online fashion renting attitudes was stronger in US consumers than in Chinese consumers.Research limitations/implicationsAlthough the findings of this study are valuable, comparing online fashion renting services in East Asian regions can be further explored, or comparing the USA with European countries may yield different results.Originality/valueThis study is one of the few to investigate how consumers engage in and perceive online fashion renting by comparing cultural differences between the USA and China. These two countries were selected because they are the leading countries in online shopping behaviour.

scholarly journals Relationships between Association of Research Libraries (ARL) Statistics and Bibliometric Indicators: A Principal Components Analysis

2010 ◽  
Vol 71 (1) ◽  
pp. 32-41
Author(s):  
Dean Hendrix
Keyword(s):  
Principal Components Analysis ◽  
Principal Components ◽  
Quantitative Research ◽  
Bibliometric Indicator ◽  
Data Sets ◽  
Research Libraries ◽  
Association Of Research Libraries ◽  
Size Dependent ◽  
Dependent Variables ◽  
Components Analysis

This study analyzed 2005–2006 Web of Science bibliometric data from institutions belonging to the Association of Research Libraries (ARL) and corresponding ARL statistics to find any associations between indicators from the two data sets. Principal components analysis on 36 variables from 103 universities revealed obvious associations between size-dependent variables, such as institution size, gross totals of library measures, and gross totals of articles and citations. However, size-independent library measures did not associate positively or negatively with any bibliometric indicator. More quantitative research must be done to authentically assess academic libraries’ influence on research outcomes.

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