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Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Author Bio -- Abbreviations -- Symbols -- CHAPTER 1: General introduction -- 1.1. SAMPLING FROM FINITE POPULATIONS -- 1.2. GRAPH, MOTIF, GRAPH PARAMETER -- 1.3. OBSERVATION PROCEDURE -- 1.4. SAMPLE GRAPH, SAMPLING METHOD AND SAMPLING STRATEGY -- BIBLIOGRAPHIC NOTES -- CHAPTER 2: Bipartite incidence graph sampling and weighting -- 2.1. BIPARTITE INCIDENCE GRAPH SAMPLING -- 2.2. INCIDENCE WEIGHTING ESTIMATOR -- 2.3. RAO-BLACKWELLISATION -- 2.4. ILLUSTRATIONS -- BIBLIOGRAPHIC NOTES -- CHAPTER 3: Strategy BIGS-IWE -- 3.1. APPLICABILITY -- 3.2. NETWORK SAMPLING -- 3.3. LINE-INTERCEPT SAMPLING -- 3.4. SAMPLING FROM RELATIONAL DATABASES -- BIBLIOGRAPHIC NOTES -- CHAPTER 4: Adaptive cluster sampling -- 4.1. SPATIAL ACS -- 4.2. EPIDEMIC PREVALENCE ESTIMATION -- 4.3. ACS DESIGNS OVER TIME -- BIBLIOGRAPHIC NOTES -- CHAPTER 5: Snowball sampling -- 5.1. T-WAVE SNOWBALL SAMPLING -- 5.2. STRATEGIES FOR TSBS -- 5.3. ILLUSTRATIONS -- BIBLIOGRAPHIC NOTES -- CHAPTER 6: Targeted random walk sampling -- 6.1. RANDOM WALK IN GRAPHS -- 6.2. TARGETED RANDOM WALK -- 6.3. STRATEGY FOR TRW SAMPLING -- 6.4. ILLUSTRATIONS -- BIBLIOGRAPHIC NOTES -- Bibliography -- Index.

PurposeThis study developed a new interpretation of the attitude contagion theory, with the information adoption model (IAM) as the theoretical basis. A review of electronic word-of-mouth studies was conducted by using informational and individual determinants to develop an integrated empirical model that identified the antecedents and consequences of consumer attitude toward online reviews.Design/methodology/approachThis study recruited 750 members of Facebook beauty fan pages in Taiwan and used the structural equation model to test research hypotheses.FindingsResults revealed that perceived " electronic word-of mouth (eWOM) credibility of online reviews" and "product involvement" could be used to explain the effects of attitude toward online reviews. Regarding the attitude contagion effect, the effect of "attitude toward online review" on both "attitude toward a product" and "attitude toward a brand" is stronger than that on "eWOM adoption."Originality/valueThis paper provides valuable insights into the antecedents, consequences and mediating mechanisms that determine consumer attitude toward online reviews.

Official statistics production based on a combination of data sources, including sample survey, census and administrative registers, is becoming more and more common. Reduction of response burden, gains of production cost efficiency as well as potentials for detailed spatial‐demographic and longitudinal statistics are some of the major advantages associated with the use of integrated statistical data. Data integration has always been an essential feature associated with the use of administrative register data. But survey and census data should also be integrated, so as to widen their scope and improve the quality. There are many new and difficult challenges here that are beyond the traditional topics of survey sampling and data integration. In this article we consider statistical theory for data integration on a conceptual level. In particular, we present a two‐phase life‐cycle model for integrated statistical microdata, which provides a framework for the various potential error sources, and outline some concepts and topics for quality assessment beyond the ideal of error‐free data. A shared understanding of these issues will hopefully help us to collocate and coordinate efforts in future research and development.