Skip to main content

Tips on Qualitative and Quantitative Data Collection Methods


There are two broad categories of data collection methods: qualitative and quantitative.  Initially much of the work of the CLIPs is likely to fall in the area of qualitative research. Later the work may involve more quantitative methods.

Qualitative Research
Qualitative research is grounded in the assumption that individuals construct social reality in the form of meanings and interpretations, and that these constructions tend to be transitory and situational. Use qualitative methods to capture what people say about their meanings and interpretations. Qualitative research typically involves qualitative data, i.e., data obtained through methods such interviews, on-site observations, and focus groups that is in narrative rather than numerical form. Such data are analyzed by looking for themes and patterns. It involves reading, rereading, and exploring the data. How the data are gathered will greatly affect the ease of analysis and utility of findings.

Resources on Qualitative Research
Books
Many books are available on this topic. Three suggested books are:
1. Maxwell, J.(1996). Qualitative research design: An interactive approach. Thousand Oaks, CA. Sage.
2. Patton, M. (2002). Qualitative research & evaluation methods. (3rd edition).Thousand Oaks, CA. Sage.
3. Wholey, J., Hatry, H., & Newcomer, K. (eds). (2004). Handbook of practical program evaluation. San Francisco, CA. Jossey-Bass.

Web Resources
There are numerous web sites that provide useful information and tools for conducting research. One is the website of the Evaluation Center at Western Michigan University that includes checklists of issues to consider when using different program evaluation models. For qualitative research, look in particular at the piece by Michael Quinn Patton on Qualitative Evaluation.

Quantitative Research
Quantitative inquiries use numerical and statistical processes to answer specific questions. Statistics are used in a variety of ways to support inquiry or program assessment/evaluation. Descriptive statistics are numbers used to describe a group of items. Inferential statistics are computed from a sample drawn from a larger population with the intention of making generalizations from the sample about the whole population. The accuracy of inferences drawn from a sample is critically affected by the sampling procedures used.
It is important to start planning the statistical analyses at the same time that planning for an inquiry begins. Decisions about analysis techniques to use and statistics to report are affected by levels of measurement of the variables in the study, the questions being addressed, and the type and level of information that you expect to include in reporting on your discoveries.

Resources for Quantitative Research
Books
Numerous books are available on quantitative research. One suggestion is:
1. Wholey, J., Hatry, H., & Newcomer, K. (eds). (2004). Handbook of practical program evaluation. San Francisco, CA. Jossey-Bass.

Popular posts from this blog

Call for Papers

1. Special issue call for papers from Internationa l Journal of Conflict Management Areas / Topics Conflict Conflict management Dispute resolution Fairness Justice Mediation and arbitration Negotiation Peace studies Related topics Manuscript submission deadline: 28-11-2011. For details visit International Journal of Conflict Management 2. Inauguration issue call for papers from Far East Journal of Psychology and Business Areas / Topics Money, Banking, Finance and Investment Psychology and Human Related Issues Marketing Security Markets, Business Economics Accounting Practices Social Issues and Public policy  Management Organization  Statistics and Econometrics  Administration and Management  International Trade Industrial Relations and Labor  Business Communication  Mass Communication  History and Psychology Cold War and Business  Inter-Cultural Encounters  Peace and Unity for Business Growth Deadline for Su...

The Development of Female Global Managers: The Role of Mentoring and Networking

Abstract of Research Paper: This paper explores the role of mentoring and networking in the career development of global female managers. The paper is based on data collected from interviews with 50 senior female managers. The voices of the female managers illustrate some of the difficulties associated with informal organisational processes, in particular mentoring and networking, which hinder their career development. The findings confirm that female managers can miss out on global appointments because they lack mentors, role models, sponsorship, or access to appropriate networks – all of which are commonly available to their male counterparts. The interviewees suggest that men, as the dominant group, may want to maintain their dominance by excluding women from the informal interactions of mentoring and networking. The findings further suggest that if females had more access to networks and mentors they could be socialised in both the formal and informal norms of the organisation an...

FACTOR ANALYSIS

Factor analysis is a collection of methods used to examine how underlying constructs influence the responses on a number of measured variables. There are basically two types of factor analysis: exploratory and confirmatory. Exploratory factor analysis (EFA) attempts to discover the nature of the constructs influencing a set of responses. Confirmatory factor analysis (CFA) tests whether a specified set of constructs is influencing responses in a predicted way. SPSS only has the capability to perform EFA. CFAs require a program with the ability to perform structural equation modeling, such as LISREL or AMOS. The primary objectives of an EFA are to determine the number of factors influencing a set of measures and the strength of the relationship between each factor and each observed measure. To perform an EFA, you first identify a set of variables that you want to analyze. SPSS will then examine the correlation matrix between those variables to identify those that tend to vary togeth...