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Handbook Of Research Methods In Public Administration Book

Handbook Of Research Methods In Public Administration
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Handbook Of Research Methods In Public Administration, Describing new techniques and novel applications, Handbook of Research Methods in Public Administration, Second Edition demonstrates the use of tools designed to meet the increased complexity of problems in government and non-profit organizations w, Handbook Of Research Methods In Public Administration
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  • Handbook Of Research Methods In Public Administration
  • Written by author Edited by Gerald J. Miller
  • Published by Dekker, Marcel Inc., 10/15/1998
  • Describing new techniques and novel applications, Handbook of Research Methods in Public Administration, Second Edition demonstrates the use of tools designed to meet the increased complexity of problems in government and non-profit organizations w
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Authors

Preface
Contributors
Pt. 1 The Big Picture
1 Introduction 1
2 Ethics in Systematic Research 3
3 Levels of Data, Variables, Hypotheses, and Theory 21
Pt. 2 Describing and Measuring Phenomena
4 Univariate Measures for Directly Measurable Phenomena 41
5 Typologies, Indexing, Content Analysis, Meta-Analysis, and Scaling as Measurement Techniques 51
Pt. 3 Data Collection and Manipulation
6 Questionnaire Construction 87
7 Sampling and Data Collection 99
8 Constructing Data Sets and Manipulating Data 125
Pt. 4 Research Issues and Design
9 Threats to Validity of Research Designs 145
10 Qualitative Research Methods: An Overview 167
Pt. 5 Association and Testing Hypothesis
11 Statistics for Nominal and Ordinal Data 207
12 Analysis of Variance 227
13 Linear Correlation and Regression 249
Pt. 6 Data Across Time
14 Cross-Sectional, Longitudinal, and Time-Series Data: Uses and Limitations 283
15 Forecasting Methods for Serial Data 301
16 Demographic Techniques for Cohort Analysis and Population Trends 353
Pt. 7 Techniques with Multiple Independent Variables
17 Multivariate Regression Analysis in Public Policy and Administration 377
18 Multivariate Techniques for Dichotomous Dependent Variables 409
Pt. 8 Modeling
19 Causal Modeling and Path Analysis 453
20 Economic Modeling 475
21 Computer Simulation 511
22 Data Envelopment Analysis: An Introduction 535
Pt. 9 Clustering Techniques
23 Principal Component Analysis, Factor Analysis, and Cluster Analysis 549
24 Q Methodology 599
App. 1 Algebra 639
App. 2 Distribution of t 647
Index 649


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