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The role of informal microfinance institutions in saving

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3.1.4 Methods <strong>of</strong> Data Collection and Sampl<strong>in</strong>g.<br />

Sampl<strong>in</strong>g<br />

Both probability and non-probability sampl<strong>in</strong>g will be employed <strong>in</strong> this study. <strong>The</strong> data<br />

collection process required a prelim<strong>in</strong>ary survey <strong>in</strong> order to construct the sampl<strong>in</strong>g frame and<br />

draw a sample. A pilot survey was conducted for this purpose. A population <strong>of</strong> small- scale<br />

enterprises <strong>in</strong> agricultural and non-agricultural activities was identified <strong>in</strong> the study region <strong>of</strong><br />

southern highland zone <strong>of</strong> Tanzania, with the help <strong>of</strong> the district <strong>of</strong>fices <strong>of</strong> the M<strong>in</strong>istry <strong>of</strong><br />

Agriculture, Market<strong>in</strong>g and Cooperatives. This <strong>in</strong>cluded both credit and non credit users. S<strong>in</strong>ce<br />

there is no <strong>of</strong>ficial register <strong>of</strong> <strong>in</strong>dividual entrepreneurs operat<strong>in</strong>g <strong>in</strong> these markets, it was not<br />

possible to have a list<strong>in</strong>g <strong>of</strong> the traders. Respondents were therefore randomly selected from<br />

this population <strong>in</strong> the selected markets us<strong>in</strong>g a random chart. Systematic random sampl<strong>in</strong>g was<br />

then used to pick subsequent respondents. <strong>The</strong> entrepreneurs were also used to identify the<br />

available <strong><strong>in</strong>formal</strong> sources <strong>of</strong> credit from which they had benefited. This was necessary <strong>in</strong><br />

order to avoid the problem <strong>of</strong> sample selection bias and also the possibility <strong>of</strong> <strong><strong>in</strong>formal</strong> lenders<br />

not known <strong>in</strong> the formal system.<br />

A sample size <strong>of</strong> 250 respondents was <strong>in</strong>itially targeted. However, only 170 respondents were<br />

successfully <strong>in</strong>terviewed, distributed as follows: Morogoro 47 respondents, Mbeya 63<br />

respondents, Dodoma 30 respondents, Ir<strong>in</strong>ga 23 respondents and Ruvuma 7 respondents.<br />

3.1.5: Data Collections<br />

Primary data was collected us<strong>in</strong>g both self-adm<strong>in</strong>istered and <strong>in</strong>terview methods. <strong>The</strong> primary<br />

data was collected us<strong>in</strong>g semi-structured and <strong>in</strong> depth <strong>in</strong>terviews. Semi-structured <strong>in</strong>terviews<br />

were undertaken by tak<strong>in</strong>g note <strong>of</strong> responses to a list <strong>of</strong> questions on the subject matter. <strong>The</strong><br />

follow<strong>in</strong>g key questions formed part <strong>of</strong> the questions asked dur<strong>in</strong>g semi-structured <strong>in</strong>terviews:<br />

• Who are the public and private sector support <strong><strong>in</strong>stitutions</strong> <strong>in</strong>volved with SACCOs<br />

development <strong>in</strong> Tanzania?<br />

• Are the support <strong><strong>in</strong>stitutions</strong> well equipped to deliver the services required by SACCOs?<br />

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