Foreword |
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xv | |
Acknowledgments |
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xvi | |
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Poverty Assessment of Microfinance Institutions |
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1 | (18) |
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2 | (1) |
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3 | (1) |
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Study parameters and choice of an indicator-based methodology |
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3 | (2) |
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4 | (1) |
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Multiple dimensions of poverty and their implications |
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5 | (1) |
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Development of a generic questionnaire |
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5 | (2) |
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Selection criteria for indicators |
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5 | (1) |
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6 | (1) |
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Indicators chosen for questionnaire |
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6 | (1) |
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7 | (4) |
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Using principal component analysis to develop the poverty index |
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7 | (2) |
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9 | (2) |
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Relative versus absolute poverty |
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11 | (1) |
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11 | (4) |
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Selected results of test case studies |
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11 | (3) |
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Overall comparative results |
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14 | (1) |
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15 | (4) |
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PART II: PLANNING AND ORGANIZING THE ASSESSMENT |
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Planning and Organizing the Assessment |
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19 | (12) |
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Guidelines for contracting the assessment |
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19 | (3) |
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Responsibilities of the researcher |
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20 | (1) |
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Sequencing project payments |
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21 | (1) |
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Determining the required time frame |
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22 | (1) |
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Allocating the poverty assessment budget |
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22 | (2) |
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Personnel, logisitical, and performance issues affecting field implementation |
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24 | (7) |
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PART III: COLLECTING SURVEY DATA |
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Developing the Sample Design |
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31 | (16) |
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Step 1: Define the population and sampling unit |
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31 | (4) |
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Household as the basic sampling unit |
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32 | (1) |
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Determining a feasible survey area |
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33 | (2) |
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Step 2: Construct the MFI-based sampling frame |
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35 | (2) |
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Cluster sampling for new MFI clients |
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35 | (1) |
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Determining required clustering stages |
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36 | (1) |
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Step 3: Determine appropriate sample size |
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37 | (1) |
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Step 4: Distribute the samples proportionally |
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38 | (4) |
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Probability-proportionate-to-size sampling (PPS) |
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39 | (1) |
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Equal-proportion sampling (EPS) |
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40 | (1) |
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EPS method applied to client groups |
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41 | (1) |
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Step 5: Select the actual sample |
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42 | (3) |
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Random sampling within clusters |
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42 | (1) |
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Random sampling of nonclient households: The random walk |
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42 | (3) |
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Describing each survey site |
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45 | (2) |
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Adapting the Poverty Assessment Questionnaire to the Local Setting |
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47 | (26) |
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Identifying local definitions of poverty |
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47 | (1) |
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Introducing the study and screening households |
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48 | (2) |
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How to introduce the study |
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48 | (1) |
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Screening households for applicability |
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49 | (1) |
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Type of respondent and preferred interview venue |
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50 | (1) |
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50 | (17) |
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Section A: Documenting households through identification information |
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51 | (2) |
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Section B: Family structure |
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53 | (3) |
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Section C: Food-related indicators |
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56 | (4) |
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Section D: Dwelling-related indicators |
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60 | (4) |
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Section E: Other asset-based indicators |
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64 | (3) |
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Customizing the questionnaire |
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67 | (2) |
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Guidelines for writing well-worded questions |
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68 | (1) |
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Pre-coding the questionnaire |
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69 | (4) |
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Training the Field Survey Team |
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73 | (12) |
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Stage 1: Summarize the background, purpose, and metholodogy of the survey |
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73 | (5) |
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Discuss the purpose of the study |
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73 | (2) |
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Discuss the sampling frame used for identifying households |
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75 | (2) |
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Present the field implementation plan |
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77 | (1) |
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Define role of the interviewer and review principles of good interviewing |
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77 | (1) |
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Discuss major sources of error in the field and how to correct for these errors |
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77 | (1) |
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Stage 2: Understand content of the questionnaire |
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78 | (2) |
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Stage 3: Standardize translation of questionnaire into local language(s) |
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80 | (1) |
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Stage 4: Practice interviewing in local language(s) |
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80 | (1) |
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Stage 5: Pretest the questionnaire |
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81 | (4) |
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PART IV: ANALYZING THE DATA |
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85 | (18) |
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Data file structures and database design |
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85 | (2) |
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85 | (1) |
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Linking files within a relational database |
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86 | (1) |
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General organization of SPSS |
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87 | (3) |
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87 | (1) |
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88 | (2) |
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Data-entry methods for survey data |
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90 | (2) |
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Preparation of data-entry forms and file documentation |
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90 | (1) |
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91 | (1) |
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Making electronic backups |
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92 | (1) |
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92 | (2) |
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93 | (1) |
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94 | (1) |
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Using SPSS procedures to clean data |
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94 | (5) |
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Locating cases with data errors |
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94 | (2) |
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96 | (2) |
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98 | (1) |
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99 | (1) |
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Suggested data-cleaning routines |
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99 | (4) |
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99 | (2) |
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101 | (1) |
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101 | (1) |
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101 | (2) |
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Working with Data in SPSS |
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103 | (12) |
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Methods for aggregating data to generate new variables in SPSS |
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103 | (5) |
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SPSS aggregate data function |
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104 | (1) |
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Aggregating old variables to generate new variables |
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105 | (3) |
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Saving output as new files |
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108 | (1) |
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108 | (2) |
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Transforming variables to recode data |
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110 | (1) |
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Data procedures for computing new variables |
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111 | (2) |
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113 | (2) |
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Conducting Descriptive Data Analysis |
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115 | (10) |
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Testing for significant differences between client and nonclient households |
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115 | (1) |
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Cross tabulation and the chi-square test |
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115 | (5) |
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How cross tabulation is applied |
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115 | (2) |
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117 | (2) |
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Interpreting a cross-tabulation table |
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119 | (1) |
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Conducting specific analysis using cross tabluations |
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119 | (1) |
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The t-test on difference between means |
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120 | (3) |
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How the t-test is applied |
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120 | (1) |
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SPSS procedure for running a t-test of means |
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121 | (1) |
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Conducting specific analysis using the t-test of means |
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122 | (1) |
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123 | (2) |
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Developing a Poverty Index |
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125 | (30) |
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Statistical procedures for filtering poverty indicators |
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125 | (5) |
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Linear correlation coefficient |
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125 | (2) |
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Using SPSS to measure linear correlation |
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127 | (1) |
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Interpreting an SPSS correlation table |
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128 | (1) |
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Selecting variables to test for correlation |
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128 | (2) |
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Using principal component analysis to estimate a poverty index |
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130 | (1) |
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Statistical tools used in creating a poverty index |
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131 | (9) |
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Step 1: Select a screened group of indicators |
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131 | (1) |
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Step 2: Run a test model and interpret the results |
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132 | (2) |
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Step 3: Revising the model until results meet performance requirements |
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134 | (6) |
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Step 4: Saving component scores as a poverty index variable |
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140 | (1) |
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Properties of the poverty index variable |
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140 | (1) |
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141 | (3) |
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Using relative poverty terciles to interpret the poverty index |
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144 | (4) |
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Defining the poor within the local population |
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144 | (1) |
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SPSS procedures for creating poverty terciles |
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144 | (4) |
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Assessing MFI poverty outreach by poverty groupings |
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148 | (7) |
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PART V: INTERPRETING THE RESULTS |
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Interpreting the Results of a Poverty Assessment |
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155 | (14) |
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Comparing results at the local, area, and national levels |
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155 | (9) |
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Comparing poverty at the local level |
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156 | (1) |
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Comparing poverty of the MFI operational area to national poverty levels |
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156 | (6) |
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Comparing poverty at the national level |
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162 | (2) |
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Comparing assessment results against the mission and objectives of an MFI |
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164 | (1) |
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165 | (4) |
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Appendix 1 Alternative Approaches to Assessing Poverty |
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169 | (5) |
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Detailed household expenditure survey |
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169 | (2) |
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Rapid appraisal and participatory appraisal |
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171 | (1) |
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171 | (3) |
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Appendix 2 List of Poverty Indicators and their Rankings |
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174 | (5) |
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Ranking of poverty indicators |
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175 | (1) |
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Indicator group 1: Means to achieve welfare |
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175 | (1) |
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Indicator group 2: Basic needs |
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176 | (1) |
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Indicator group 3: Other aspects of welfare |
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177 | (2) |
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Appendix 3 Recommended Questionnaire |
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179 | (5) |
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Section A: Household indentification |
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179 | (1) |
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Section B: Family structure |
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180 | (1) |
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Section C: Food-related indicators |
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181 | (1) |
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Section D: Dwelling-related indicators |
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182 | (1) |
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Section E: Other asset-based indicators |
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183 | (1) |
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Appendix 4 UNDP Human Development Index (HDI), 2000 |
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184 | (5) |
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184 | (1) |
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185 | (2) |
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187 | (1) |
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188 | (1) |
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Appendix 5 Data Template File Information |
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189 | (14) |
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File information: F1householdtemplate.sav |
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189 | (7) |
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File information: F2adulttemplate.sav |
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196 | (3) |
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File information: F3childtemplate.sav |
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199 | (1) |
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File information: F4assetstemplate.sav |
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200 | (3) |
Glossary of Statistical Terms |
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203 | (2) |
Bibliography |
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205 | |