This collected by earlier researches for their analyzing purposes

This section would describe regarding the methodology
used to test the hypotheses, the dependent variables, and independent
variables. The Multiple linear regression analysis would be performed to
recognize the effect of board characteristics on the financial performance of
the listed companies in Sri Lanka. Mainly this methodology section would focus
research design, population and sample, data collection and data analysis
techniques.

The population of this study is, public listed companies in Sri Lanka. There are 295 companies registered in the Colombo Stock Exchange (CSE).  These companies have registered under 20 business sectors. This information is as at 30th September, 2016. The sample would be 167 public listed companies. The sample size was 167, using the Morgan Table. This sample represents 57% of the total population. The simple random sampling method is used to select the sample from the population.

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Secondary
data collection methods would be used to collect data. In the secondary data
collecting, researchers use the data which have been collected by earlier
researches for their analyzing purposes or the statistical data obtained from
the records, accounts and other data stores. When using secondary data
previously used for a research or a study, it should be considered that the
previous research could answer the research question. Today, there are so many
facilities are available for secondary data collections. Those include
information in the annual reports, Corporate Governance Code 2013 and the
Colombo Stock Exchange (CSE) web site. The data would be collected in year
2015/16.

Data tables and graphs are used to represent the data. It examines the relationship between board characteristics and financial performance by using multiple linear regression model in the Statistical Package for the Social Sciences (SPSS).In order to measure the quality of the corporate governance adopted by Public Listed Companies in Sri Lanka, descriptive statistical method would be used. In addition correlation analysis, & ANOVA test can be identified if there is a significant relationship between board characteristics & financial performance.