In the following, I will give a short outline of the content of the thesis at hand.
As my topic deals with the application of Policy-Capturing (PC) studies in governance
research, I will first address both terms – the PC technique and a definition of governance decisions – separately and then combine the explanations into a superordinate context.
Chapter 5 attends to the typical steps a PC study consists of and describes representative questions and decisions researchers have to consider at every stage of their research, namely study design, study execution,
analysis, interpreting results and reporting results.
Subsequently, I will describe my process of finding suitable articles and give a brief survey of the PC studies dealing with governance decisions as well as those from other areas of research which I reviewed and analyzed.
The following section covers obstacles that researchers conducting a PC study may frequently be confronted with, offers solutions on how to overcome those hurdles in case of occurrence and provides the reader with guidelines that should be adhered to in order to enhance the study’s design and execution as well as the results’ analysis, interpretation and reporting.
Having covered PC in extenso, the next chapter discusses conjoint analysis as a closely related technique highlighting conspicuous parallels to PC and giving some advice scholars employing PC could also
benefit from.
I end my thesis with a conclusion, summing up the most important and most interesting findings and giving a brief outlook on the future of the application of PC studies in governance research.
Table of Contents
1 PREFACE
2 ABSTRACT
3 POLICY-CAPTURING STUDIES
4 CORPORATE GOVERNANCE AND GOVERNANCE DECISIONS
5 STEPS OF POLICY-CAPTURING
5.1 STEP 1: STUDY DESIGN
5.2 STEP 2: STUDY EXECUTION
5.3 STEP 3: ANALYSIS
5.4 STEP 4: INTERPRETING RESULTS
5.5 STEP 5: REPORTING RESULTS
6 ARTICLES
6.1 FINDING ARTICLES / DATA COLLECTION
6.2 ARTICLES FROM GOVERNANCE RESEARCH
6.2.1 Reasons for PC
6.2.2 Noteworthy Characteristics
6.3 ARTICLES FROM OTHER AREAS OF RESEARCH
6.3.1 Reasons for PC
6.3.2 Noteworthy Characteristics
7 OBSTACLES AND GUIDELINES
7.1 STEP 1: STUDY DESIGN
7.2 STEP 2: STUDY EXECUTION
7.3 STEP 3: ANALYSIS
7.4 STEP 4: INTERPRETING RESULTS
7.5 STEP 5: REPORTING RESULTS
8 CONJOINT ANALYSIS
8.1 STEPS OF CONJOINT ANALYSIS
8.2 QUESTIONS IN CONJOINT ANALYSIS
9 CONCLUSION
Research Objectives and Themes
This thesis explores the application of the Policy-Capturing (PC) methodology within the field of corporate governance research. The primary research goal is to bridge the gap between traditional decision-making research methods and governance studies by demonstrating how PC can be used to gain insights into individual judgment processes. By reviewing existing literature, the work identifies methodological advantages and common obstacles to provide practical guidelines for researchers, ultimately aiming to enhance the validity and generalizability of future studies.
- Methodological foundations and the process of Policy-Capturing.
- The nexus between corporate governance decisions and experimental research methods.
- Comparative analysis of PC applications across governance and other research domains.
- Strategic guidelines for study design, execution, and analytical reporting.
- Integration of conjoint analysis as a related, complementary technique.
Excerpt from the Book
3 Policy-Capturing Studies
As already outlined previously, I will begin with a compendious introduction to PC studies, explaining its purpose, its fundamentals and its procedure.
PC is a field-experimental technique widely used in decision-making research in order to understand and improve individuals’ decision processes. It is an indirect method of attitude measurement, as opposed to e.g. traditional surveys or questionnaires, which allows for an assessment of the participants’ information-processing strategies.
PC experimentally manipulates the level of a number of theoretically determined criteria (so-called cues; the independent variables) which are then combined into various scenarios the decision-markers are asked to review and evaluate according to their personal judgment. The participants rate combinations rather than directly revealing their preferences which would demand far more self-insight.
Thus, PC allows for analyzing both the average behavior of groups of people making independent decisions (nomothetic), like in traditional between-subjects designs, and the decision-making behavior of individuals (idiographic).
The researchers’ aim is to capture individual decision policies and, eventually, arrive at a linear model of the judgment process, such as a regression equation, i.e. a mathematical description of the model that was used which shows how decision makers weight and combine different pieces of information.
Thereby, PC identifies relevant factors and provides instructive information about an individual’s information processing and judgment structure. The regression weights (so-called beta weights) can be interpreted as showing the cues’ respective relative importance if the cues are orthogonal.
Summary of Chapters
1 PREFACE: Provides an introduction to the need for understanding managerial decision-making and introduces Policy-Capturing as a valuable experimental method for governance research.
2 ABSTRACT: Outlines the structural roadmap of the thesis, detailing the focus on methodology, article review, practical obstacles, and the introduction of conjoint analysis.
3 POLICY-CAPTURING STUDIES: Defines the fundamentals, purposes, and procedures of Policy-Capturing, contrasting it with traditional survey methods.
4 CORPORATE GOVERNANCE AND GOVERNANCE DECISIONS: Explains the core concepts of governance, governance decisions, and the various organizational forms involved in modern corporate structures.
5 STEPS OF POLICY-CAPTURING: Details the five key stages of a PC study, ranging from study design to result reporting.
6 ARTICLES: Presents a review of literature, analyzing how PC has been applied in governance research compared to other scientific fields.
7 OBSTACLES AND GUIDELINES: Identifies common research hurdles and offers constructive guidelines to improve validity and reliability in all five stages of PC.
8 CONJOINT ANALYSIS: Discusses the similarities and parallels between PC and conjoint analysis, highlighting their shared utility in modeling human choice behavior.
9 CONCLUSION: Summarizes the thesis’s main findings and provides a forward-looking perspective on the future use of Policy-Capturing in governance research.
Keywords
Policy-Capturing, Corporate Governance, Governance Decisions, Decision-Making, Experimental Design, Methodology, Regression Analysis, Conjoint Analysis, Internal Validity, External Validity, Managerial Decisions, Research Guidelines, Behavioral Theory, Judgment Processes, Data Collection.
Frequently Asked Questions
What is the core focus of this thesis?
The thesis focuses on the application of the Policy-Capturing (PC) technique to study managerial decision-making within the domain of corporate governance.
What are the central thematic fields covered?
The work covers methodological foundations of experimental decision research, practical obstacles in research design, and the intersection between organizational management and statistical modeling.
What is the primary goal of the author?
The goal is to provide inexperienced researchers with clear, actionable guidelines to improve the design, execution, and analysis of PC studies, thereby increasing the quality of empirical results.
Which scientific methodology is central to this work?
The primary method is Policy-Capturing, an experimental technique that utilizes scenario-based cues to uncover an individual's implicit judgment policies.
What does the main body of the work address?
It provides a comprehensive review of existing PC studies, identifies technical and procedural hurdles, and compares PC with the related technique of conjoint analysis.
Which keywords best characterize the work?
Policy-Capturing, Governance, Experimental Research, Decision-Making, and Methodology are the defining terms of this research.
Why is conjoint analysis discussed alongside Policy-Capturing?
The author identifies striking parallels between the two techniques, noting that conjoint analysis offers valuable insights into multi-attribute decision-making that complement and enhance the PC approach.
How does the author suggest improving the generalizability of PC studies?
The author recommends rigorous pretesting, the use of expert respondents, the inclusion of control variables, and careful scenario design to ensure findings reflect realistic decision contexts.
- Quote paper
- Martina Lütkewitte (Author), 2006, Policy-Capturing - State of the art and implications for governance research, Munich, GRIN Verlag, https://www.grin.com/document/86282
