Broadcasting in General

Erik Barnouw's The Image Empires A History of Broadcasting in the United States From 1953 (Oxford University Press, $9.75)

Howard Koch's The Panic Broadcast (Little, Brown & Co., $4.95)

Howard W. Coleman's Caso Studios in Broadcast Management (Hastings House, $4.95)

Joe McGinniss' The Soiling of the President 1963 (Pocket Books, $1.25)

Alexander Kendrick's Prime Time: The Life of Edward R. Murrow (Avon, $1.65)

Nicholas Johnson's How To Talk Back to Your Television Set (Bantam, $1.25)

Herbert C. Kelman and Raphael S. Ezekiel's Cross-National Encounters (Jossoy-Bass (San Fransisco), $10.50)

Victor Gold's The Enemies He Has Made (Arlington House)

Bon Bagdikian's The Information Machine (Harper & Row)

Chester, Garrison, and Willis' Television and Radio (Appleton-Century-Crofts)     

Film Biographies

Howard Koch, As Time Goes By (New Yorks Harcourt Brace, 1979–$10.95)

John Houseman, Front and Center (New York: Simon and Schuster, 1979–$15.00)

Howard Koch, As Time Goes By (New Yorks Harcourt Brace, 1979–$10.95)

Tom Dardis, Keaton: The Man Who Wouldn't Lie Down (New York: Charles Scribner's Sons, 1979-412.50)

George Carpozi's The John Wayne Story (New Rochelle, New York: Arlington House, 1979-410.95 hardcover)

Bob Thomas, Joan Crawford (New York: Simon and Schuster, 1978-410.95)

Mommie Dearest by Christina Crawford (see MMB, 10:71)

Marilyn Monroe Confidential: An Intimate Personal Account (New York: Simon and Schuster, 1979–$9.95)     

Data-Generating Mechanisms Versus Constructively Defined Latent Variables in Multitrait–Multimethod Analysis: A Comment on Castro-Schilo,Widaman, and Grimm (2013)

In a recent article, Castro-Schilo, Widaman, and Grimm (2013) compared different approaches for relating multitrait–multimethod (MTMM) data to external variables. Castro-Schilo et al. reported that estimated associations with external variables were in part biased when either the correlated traits–correlated uniqueness (CT-CU) or correlated traits–correlated (methods–1) [CT-C(M–1)] models were fit to data generated from the correlated traits–correlated methods (CT-CM) model, whereas the data-generating CT-CM model accurately reproduced these associations. Castro-Schilo et al. argued that the CT-CM model adequately represents the data-generating mechanism in MTMM studies, whereas the CT-CU and CT-C(M–1) models do not fully represent the MTMM structure. In this comment, we question whether the CT-CM model is more plausible as a data-generating model for MTMM data than the CT-C(M–1) model. We show that the CT-C(M–1) model can be formulated as a reparameterization of a basic MTMM true score model that leads to a meaningful and parsimonious representation of MTMM data. We advocate the use confirmatory factor analysis MTMM models in which latent trait, method, and error variables are explicitly and constructively defined based on psychometric theory.     

How to approximate users’ values while preserving privacy: experiences with using attitudes towards work tasks as proxies for personal value elicitation

Software users have different sets of personal values, such as benevolence, self-direction, and tradition. Among other factors, these personal values influence users’ emotions, preferences, motivations, and ways of performing tasks—and hence, information needs. Studies of user acceptance indicate that personal traits like values and related soft issues are important for the user’s approval of software. If a user’s dominant personal value were known, software could automatically show an interface variant which offers information and functionality that best matches his or her dominant value. A user’s dominant personal value is the one that most strongly influences his or her attitudes and behaviors. However, existing methods for measuring a user’s values are work intensive and/or interfere with the user’s privacy needs. If interface tailoring for very large groups of users is planned, value approximation has to be achieved on a large scale to assign individualized software to all users of the software. Our work focuses on approximating the dominant values of a user with less effort and less impact on privacy. Instead of probing for a user’s values directly, we explore the potential of approximating these values based on the user’s preferences for key tasks. Producing tailored versions of software is a separate topic not in the focus here. In this paper we rather describe a method to identify user values from task preferences and an empirical study of applying parts of this method. We are proposing the method in this paper for the first time except for a preliminary version orally presented at a workshop. The method consists of a research process and an application process. In the research process a researcher has to identify key tasks occurring in a context under investigation which have a relationship to personal values. These key tasks can be used in the application process to approximate the dominant values of new users in a similar context. In this empirical study we show that the research process of our method allows us to determine key tasks which approximate values in the shared context of nursing. The majority of the nurses were found to have one of the three following dominant values: benevolence, self-direction, or hedonism. Data confirmed common expectations: that nurses with the value of benevolence, when compared to all other nurses, had a higher preference for tasks which helped people immediately or improved their circumstances of the treatment. In relation to all other nurses, participants with self-direction disliked tasks which affected their personal freedom, and users with hedonism had a lower preference for tasks which involved physical work and preferred tasks which promised gratification. Our findings advance measurement of personal values in large user groups by asking questions with less privacy concern. However, the method requires substantial efforts during the initial research process to prepare such measurements. Future work includes replicating our method in other contexts and identifying value-dependent tasks for users with other values than the three values our empirical study mainly focused on.     

School-based prevention: Effects on obesity and physical performance after 4 years

Abstract

Juvenile obesity is increasing worldwide. Preventive strategies are warranted. The school-based Children's Health Interventional Trial (the CHILT Project) combines health education and physical activity for children. The effect on obesity and physical performance was studied after four years in 12 primary schools compared with five control schools. Anthropometric data were recorded. Physical performance was measured by a coordination test for children (balancing backwards, one-legged obstacle jumping, lateral jumping, sideways movements) and a 6-min run (endurance). No difference in the prevalence and incidence of overweight and obesity was found between the intervention and control schools before and after the intervention. Remission of overweight was higher in the intervention schools (23.2 vs. 19.2%), but not significant. An increase in coordination related to lateral jumping and balancing backwards was apparent in the intervention schools (30.6, s = 10.8 vs. 26.1, s = 10.8, P = 0.005; 21.8, s = 11.8 vs. 19.4, s = 11.7, P = 0.007), and the increase in endurance performance tended to be higher in intervention schools (100.8, s = 122.7 vs. 92.8, s = 126.0, P = 0.055), adjusted for age, sex, baseline test result, and body mass index at final examination. Therefore, preventive intervention in primary school offers the possibility to improve physical performance in children. The prevalence and incidence of obesity were not affected.     

Water-Based Aerobic Training Successfully Improves Lipid Profile of Dyslipidemic Women: A Randomized Controlled Trial

Purpose: This study aimed to investigate the effects of water-based aerobic training on the lipid profile and lipoprotein lipase (LPL) levels in premenopausal women with dyslipidemia. Method: Forty women were randomly assigned to: aquatic training (WA; n = 20) or a control group (CG; n = 20). The WA group underwent 12 weeks of water-based interval aerobic training twice a week at intensities ranging from 9 to 15 on the Borg Scale of Perceived Exertion. Total cholesterol (TC), triglycerides (TG), high- (HDL) and low- (LDL) density lipoprotein, TC/HDL ratio, LPL levels, and peak oxygen consumption (VO₂peak) were evaluated before and after 12 weeks in both groups. Results: The WA group elicited decreases in TC (9%; effect size [ES] = 0.69; 95% CI [0.05, 1.33]), LDL (16%; ES = 0.78; 95% CI [0.13, 1.42]), and the TC/HDL ratio (17%; ES = 1.13; 95% CI [0.46, 1.79]), as well as increases in VO₂peak (10%; ES = 0.64; 95% CI [0.002, 1.27]) and HDL (10%; ES = 0.28; 95% CI [?0.35. 0.90]), without significant changes in TG (ES = 0.16; 95% CI [?0.46, 1.79]) and LPL (ES = 0.36; 95% CI [?0.27, 0.98]) levels. In the CG, no statistically significant changes in any of these variables were found (TC, ES = 0.19, 95% CI [?0.43, 0.82]; LDL, ES = 0.22, 95% CI [?0.40, 0.85]; HDL, ES = 0.05, 95% CI [?0.57, 0.67]; TG, ES = 0.09, 95% CI [?0.53, 0.71]; TC/HDL ratio, ES = 0.20, 95% CI [?0.42, 0.82]; LPL, ES = 0.02, 95% CI [?0.60, 0.64]; VO₂peak, ES = 0.20, 95% CI [?0.42, 0.82]). Conclusion: Water-based interval aerobic training positively affected the lipid profile in premenopausal dyslipidemic women.     

A dying debate

In this short comment upon the German Research Policy scene a scientific journalist outlines the political background to the statistical analysis of R & D funding that follows in the next article.     

Understanding the prospect of success in professional training: an ethnography into the assessment of problem-based learning

One of the most fundamental innovations in higher education is the introduction of the method known as problem-based learning (PBL). While literature has largely focused on its learning goals and the transition from lectures to tutorials, little research has problematised why this is a successful methodology and what we consider as students’ success. Drawing upon various ethnographic techniques, the authors analyse PBL as a field of expectations in light of Expectation-Value Theory. Beyond merely showing that PBL is a culturally constructed practice, the article elaborates on how students’ expectations inform practices, performance and evaluation, which is important for assessing the successfulness of the method. By discussing students’ expectations, dynamics and power relations, the present article is a contribution to the research addressing what has come to be known as the ‘black box’ of PBL.