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MODELS OF BEHAVIOUR CHANGE
According to Berelson and Steiner (1964) human behaviour is far more variable and therefore less predictable. The range of behaviour available to any given man, as well as the range that exists across men, is far broader than anywhere else in the animal kingdom. This is due to the fact that human behaviour is more dependent upon learning and less regulated by instinct or other innate behavioural predispositions than the behaviour of lower animals. Albert Einstein is quoted by Jacobsen (1983) to have said: “It is harder to understand the behaviour of human beings than to understand that of atoms” (Düvel, 1991).
Due to the complex nature of human behaviour various theories and models have been developed in an attempt to understand and predict human behaviour. Some of these theories and models include the Traditional Approaches, the Classical 5-Stage Adoption process, the Campbell Model, the Innovation Decision-Making process, the field theory, the Tollman-Model, the Theory of Reasoned action, and Düvel’s Behaviour Analysis model. These models will be discussed briefly.
CHAPTER 1 INTRODUCTION
1.1 BACKGROUND TO THE STUD
1.2 PROBLEM STATEMENT
1.3 OBJECTIVES OF THE STUDY.
1.4 HYPOTHESES OF THE STUDY.
1.5 SIGNIFICANCE OF THE STUDY
CHAPTER 2. LITERATURE REVIEW.
2.1 MODELS OF BEHAVIOUR CHANGE
2.1.1 Traditional Approach
2.1.2 The 5-Stage or “Classical” adoption Process.
2.1.3 The Campbell-Mode
2.1.4 The Innovation – Decision Process Model .
2.1.5 The psychological field theory of Lewin.
2.1.6 The Tolman Model .
2.1.7 The Theory of Reasoned Action (Ajzen and Fishbein , 1980)..
2.1.8 Düvel’s Model for Behaviour Analysis and change
2.2 THE STUDY CONCEPTUAL MODEL
2.3 EMPIRICAL STUDIES CONDUCTED IN THE AREA OF INDEPENDENT AND INTERVENING VARIABLES
2.3.1 Independent variables and adoption .
CHAPTER 3. METHODOLOGY
3.1 INTRODUCTION
3.2 DESCRIPTION OF THE STUDY AREA
3.2.1 Reasons for choosing Njombe district.
3.3 THE POPULATION AND SAMPLING PROCEDURE
3.4 INSTRUMENTATION AND DATA COLLECTION
3.5 VARIABLES AND THEIR MEASUREMENT
3.5.1 Independent variables
3.5.2 Intervening variables
3.5.3 Dependent variables:
3.6 DATA ANALYSIS
CHAPTER 4. PRODUCTION EFFICIENCY AND ADOPTION OF RECOMMENDED MAIZE PRODUCTION PRACTICES.
4.1 INTRODUCTION.
4.2 PRODUCTION EFFICIENCY
4.3 ADOPTION OF RECOMMENDED MAIZE PRODUCTION PRACTICES
4.4 MAIZE PRODUCTION PACKAGE
CHAPTER 5 THE INFLUENCE OF INDEPENDENT AND INTERVENING VARIABLES ON ADOPTION OF RECOMMENDED MAIZE VARIETIES
5.1 INTRODUCTION.
5.2 INDEPENDENT VARIABLES
5.3 INTERVENING VARIABLES.
5.4 COMPARISONS BETWEEN INDEPENDENT AND INTERVENING VARIABLES
C H A P T E R 6. THE INFLUENCE OF INDEPENDENT AND INTERVENING VARIABLES ON THE ADOPTION OF PHOSPHATE FERTILIZATION
CHAPTER 7 THE INFLUENCE OF INDEPENDENT AND INTERVENING VARIABLES ON THE ADOPTION OF NITROGEN FERTILIZATION
CHAPTER 8. THE ROLE OF INDEPENDENT AND INTERVENING VARIABLES ON THE ADOPTION OF THE TOTAL FERTILIZER PACKAGE
CHAPTER 9 THE ROLE OF INDEPENDENT AND INTERVENING VARIABLES ON THE ADOPTION OF SEED SPACING.
