by Leung Wai Lun Nicholas, Tse Chung Yan. / Thesis (M.B.A.)--Chinese University of Hong Kong, 2001. / Includes bibliographical references (leaves 47). / ABSTRACTS --- p.1 / Chapter CHAPTER I --- INTRODUCTION --- p.5 / Background --- p.5 / Market Coverage of ACNielsen's ratings measurement --- p.5 / Methodology of Audience Rating Measurement by ACNielsen --- p.6 / TV Ratings Measurement --- p.7 / Differentiation by Dayparts --- p.7 / Differentiation by Programmes --- p.8 / Use of Program Audience Rating --- p.9 / Strategy Formulation from Audience Rating --- p.10 / Chapter CHAPTER II --- LITERATURE REVIEW --- p.12 / Television Channels and Advertisements: --- p.12 / New Forms of TV Advertising --- p.13 / Chapter CHAPTER III --- RESEARCH OBJECTIVES --- p.14 / Chapter CHAPTER IV --- RESEARCH METHODOLOGY AND PROCESSES --- p.15 / The Data Set --- p.15 / Database Description --- p.15 / Sample Composition --- p.15 / TV Rating (TVR) --- p.16 / Data Structure --- p.16 / TABLE 1 --- p.16 / Data Cleansing --- p.17 / Phase I Process一Data Extraction --- p.17 / Phase II Process´ؤData Conversion --- p.18 / Phase III Process´ؤDatabase Mapping --- p.18 / Phase IV Process一Data Transformation --- p.18 / "Tabulation, Sorting, and Descriptive Statistical Analysis" --- p.19 / Chapter CHAPTER V --- RESULTS AND ANALYSIS --- p.20 / Descriptive Statistics --- p.20 / Analysis By Programmes --- p.24 / Analysis By Day --- p.28 / Analysis by week --- p.29 / Analysis by time slots/dayparts --- p.29 / Weekdays TVBJ and ATVH Mean Ratings Per Minute --- p.30 / Audience movements in channel switching --- p.32 / Interpretation from 2:00am to 7:00am --- p.33 / Interpretation from 7:00am to 11:00am --- p.34 / TV News Increases Switching Phenomenon --- p.35 / Analysis of Prime Time --- p.35 / Program types' effect on commercial break --- p.37 / Analysis of commercial break --- p.37 / Commercial Break Effect --- p.37 / Chapter CHAPTER VI --- LIMITATIONS OF ANALYSIS --- p.40 / Numbers of TV channels taken into account --- p.40 / Program categories --- p.40 / Rating of those not watching TV --- p.40 / Size of database --- p.40 / Factors affecting ratings --- p.41 / Audience size --- p.41 / Chapter CHAPTER VII --- CONCLUSION --- p.42 / Chapter CHAPTER IIX --- FUTURE RESEARCH --- p.45 / Proposed Regression Analysis´ؤChannel Switching Analysis --- p.45 / Channel Switching Regression Model Building --- p.45 / BIBLIOGRAPHY --- p.47 / APPENDIX / Appendix A: SAS Outputs Statistics --- p.57 / Appendix B: Sample of Commercial Log File --- p.82 / Appendix C: SAS Programs Codes --- p.85 / Appendix D: Data Cleansing Programs in C --- p.89 / Appendix E: Full view of Mean Ratings Plots --- p.95

Thesis (Ph. D.)--University of Washington, 2006. / Vita. Includes bibliographical references (leaves 182-196).

Call number: LD2668 .T4 1964 R72 / Master of Science

An accurate television viewing choice model is an important tool for television industry executives, as well as advertisers. An efficient model can help television channels maximize ratings by improving both scheduling and the characteristics of their shows. On the other hand advertisers can predict ratings and demographic composition of audiences with better accuracy. Though there is considerable evidence to suggest that individual viewing choices are strongly affected by one's family members, quantitative models in marketing literature typically focus on the individual as the unit of analysis without incorporating the influence of family members. / Key Words: viewing choice modeling, television rating, group decision making / This thesis proposes a three-stage model to capture the process of household television viewing behavior. We divide the household viewing process into three sequential and interrelated decision stages (pre-decision, joint decision, and final-decision) according to the group decision making framework suggested in prior research. By defining utilities of different programme types on different channels, and weighting parameters of each family member, each family member's three decisions (pre-decision, joint decision and post-decision) are modeled as a function of these parameters with three sub-models. The model was estimated with maximum likelihood estimation, duly validated with simulation studies. Meanwhile, the model was extended to be time-dependent to allow past viewing history to influence current viewing choice, and applied on the people meter data for primetime telecasts on weekdays for the whole of 2006. The results indicate that our model has better prediction accuracy compared with models being currently used (Rust and Alpert 1984; Yang et al. 2010). Furthermore, we are able to demonstrate that models that ignore the influence of family members yield biased estimates. Our model also has better prediction accuracy compared with the traditional model proposed by Rust and Alpert (1984), and has more flexibility to fit households with different compositions. Finally, we find that there exist different household decision structures, initial latent preferences, and influences of past viewing history across different families and their members, and the heterogeneity can be explained by demographic variables. / Su, Lei. / "December 2010." / Advisers: Jessica Yuk-yee Kwong; Kin-nam Lau; Jian-min Jia. / Source: Dissertation Abstracts International, Volume: 73-04, Section: A, page: . / Thesis (Ph.D.)--Chinese University of Hong Kong, 2011. / Includes bibliographical references (leaves 126-133). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [201-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. Ann Arbor, MI : ProQuest dissertations and theses, [201-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract also in Chinese.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2003. / Typescript. Vita. Includes bibliographical references (leaves 119-125). Also available on the Internet.

Thesis (Ph. D.)--University of Missouri-Columbia, 2003. / Typescript. Vita. Includes bibliographical references (leaves 119-125). Also available on the Internet.

Thesis (M.A.)--University of Central Florida, 2009. / Adviser: Tim Brown. Includes bibliographical references (p. 75-79).

This thesis has investigated the local Indianapolis television news viewing habits of the residents of Muncie, Indiana. The thesis also explored similarities between Muncie TV news viewing habits and those of the rest of central Indiana.The study used a random telephone survey method to gather data. Past area viewing trends recorded by the Arbitron Company of Chicago were also used for informal comparisons of Muncie and central Indiana viewing preferences of Indianapolis TV newscasts.Demographic analyses of TV news audiences of the Indianapolis commercial network television affiliates were conducted in order to help describe the participation of each station's Muncie audience.

Thesis (M.A.)--University of Texas at El Paso, 2008. / Title from title screen. Vita. CD-ROM. Includes bibliographical references. Also available online.