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Published online by Cambridge University Press: 11 November 2008
More and more countries wish to become modernised. Some have less and want more; others have more and are willing to help. Under these conditions, putting ‘western’ aid to work for development should be easy. But, evidently, it has not been. A nation — like an individual — that both recognises the need for help and strives to maintain an identity, finds it difficult to accept foreign aid without reservation. The questions, ‘Who am I?’ and ‘Where am I going?’, concerning national identity and national goals, are still serious issues in development.
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Page 630 note 2 Expressed in dot notations, r1423 = O. Further, r14.3 = r14.2, and this should be greater than r14.23, if the model were to be supported. An added restriction to the model is that these first.order partials, r14.2 and r14.3, should be greater than the second-order partial, r14.23.
Page 630 note 3 There are established precedents for the use of path analysis technique with social science data; for example, Duncan, O., ‘Path Analysis: sociological examples’, in The American Journal of Sociology (Chicago), LXXII, 1, 07 1966,Google Scholar See Blalock, H. and Blalock, A. (eds.), Methodology in Social Research (New York, 1968), for the assumptions of path analysis.Google Scholar
Page 631 note 1 Key to the variables shown as subscripts in this table: 1 = urban contact; 2 = literacy; 3 = mass media exposure; and = innovativeness. A good jit (*) means that we can erase the causal linkage between these two variables in the system.
Page 632 note 1 Expression (1): subscript means ‘Direct effect or beta weight of urban contact on mass media exposure.’ Expression (2): subscript means ‘Direct effect of urban contact on literacy, controlling on mass media exposure’. Beta weights and partial correlations should be equal to zero (= o), subject to sampling error.
Page 632 note 2 Path coefficients indicate how much a dependent variable would be expected to change per unit of standardised changes in the independent variable. The figures attached to the infinity sign (∞) correspond to the effects on the dependent variables that are attributable to other factors not explicitly measured in the study.
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