A study on the changing trends, practices and implications on financial research methodology between the periods 1989-1990 and 1999-2000

Three types of data sources are time, space and person (Denzin, 1970). Data sources can vary base on the times data were collected, the place, or setting and from whom the data are obtained (Denzin, 1970 Itchell, 1986). Because the purpose of longitudinal studies is to identify changes over a time p...

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Bibliographic Details
Main Authors: Macasaet, Katrina A., Daniel, Derrick Andrus B., Camaliga, Ma. Ivy S., Borbon, John Paul F.
Format: text
Language:English
Published: Animo Repository 2002
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Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/17384
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Institution: De La Salle University
Language: English
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Summary:Three types of data sources are time, space and person (Denzin, 1970). Data sources can vary base on the times data were collected, the place, or setting and from whom the data are obtained (Denzin, 1970 Itchell, 1986). Because the purpose of longitudinal studies is to identify changes over a time period such studies are not considered trangulated. Time triangulation indicates collection of data at different times to determine if similar findings occur (Kimchi et al., 1991). Variance in events, situations, times, places, and person add to the study because of the possibility of revealing a typical data or the potential of identifying similar patterns, thus increasing confidence in the findings (Filelding & Fielding, 1986 Thurmod, 2001). Triangulation can offer many benefits particularly those leading to more confidence in the research data and arriving at more substantive results. Yet at the same time, triangulation may become a double edged sword for there are also disadvantages like increased amount of time needed to finish study, difficulty of handling a large amount of data, conflicts and theoretical frameworks, investigator biases and basically the lack of understanding as to why triangulation strategies were used. This study attempts to determine what are the possible change in trends, practices and implications of methodologies used for financial research by studying articles included in the Journal of finance, Journal of financial and quantitative analysis and Journal of financial research for the periods 1989-1990 and 1999-2000. These articles would be content analyzed using coding dimensions suggested in a previous work by Scandura and Williams (2000). Chi-square distribution analysis would be used to determine if the changes observed represents some continuity in terms of patterns. It can be concluded that there were indeed some interesting changes that have occurred to over the two chosen periods. And it can be observed that financial literature has been moving away from rigor in exchange for convenience. Nevertheless, the proponents believe in the relevance of this study particularly at the present situation of research culture in the country. The researchers hope that this could contribute to its betterment for the future generations.