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3.4 Data Collection Methods

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3.4 Data Collection Methods Data collection methods should be stated clearly since it provides a clear overview of what tasks will be carried out, who will perform them, organized human and material resources, minimizes errors and delays which may result from lack of planning and the duration of these tasks can be identified. So, the data collection method to be followed under this study has been explained as under. 3.4.1 Field Studies The researcher will carry out field survey in order to perform direct observation and recording, to administer survey questionnaire on the households and semi-structured interview with key informants and respective respondents. The data collection will last for 2 months. 3.4.2 Key Informants Discussions …show more content…

The relevance and logic for the involvement of scout field surveyors is in order to protect and keep the security of the field surveyors, can show directions or ways within the Ground Water Forest, even can support with good idea since they are more experienced, can help through communicating local language during snowball and chunk sampling. The selection criteria will be 1) the most senior scouts with good experiences 2) who have a good performance and technical skill and 3) who can speak local …show more content…

primary and secondary data sources. Thus, the first hand data will be collected via field survey, key informants, survey questionnaires of the kebeles residents households and semi-structured interview with different groups; whereas secondary data will be gathered through reviewing different literatures, articles, books, reports, brochures and so on. 3.6 Data Analysis and Interpretation Data analysis is the way that the collected raw data is chosen, evaluated and expressed in meaningful content. It would be clear and understandable to use all of the data collected over the course of study. It is to be translated into meaningful information and must be managed and analyzed in an appropriate fashion. Therefore, data which will be gathered in this study will be refined, categorized, encoded, edited and analyzed by using observations made. Descriptive statistics or measurements like measure of central tendencies such as mean, mode, median and quartile and measure of dispersion variability like range, standard deviation, variance and inter-quartile range using tables, graphs, charts etc. will constitute the part of analysis accordingly. Parametric and non-parametric tests may also be used. SPSS and Excel will also

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