Dale Berger - Academia.edu (original) (raw)

Papers by Dale Berger

Medicine and Science in Sports and Exercise, Oct 1, 2004

The purposes of the present study were to (a) modify previously published V O 2max equations usin... more The purposes of the present study were to (a) modify previously published V O 2max equations using the constant error (CE) values for aerobically trained females, (b) cross-validate the modified equations to determine their accuracy for estimating V O 2max in aerobically trained females, (c) derive a new nonexercise-based equation for estimating V O 2max in aerobically trained females if the modified equations are found to be inaccurate, and (d) cross-validate the new V O 2max equation using the PRESS statistic and an independent sample of aerobically trained females. Methods: A total of 115 aerobically trained females (mean Ϯ SD: age ϭ 38.5 Ϯ 9.4 yr) performed a maximal incremental test on a cycle ergometer to determine actual V O 2max. The predicted V O 2max values from nine published equations were compared with actual V O 2max by examining the CE, standard error of estimate (SEE), validity coefficient (r), and total error (TE). Results: Cross-validation of the modified nonexercise-based equations on a random subsample of 50 subjects resulted in a %TE Ն 13% of the mean of actual V O 2max. Therefore, the following nonexercise-based V O 2max equation was derived on a random subsample of 80 subjects: V O 2max (mL•min Ϫ1) ϭ 18.528 (weight in kg) ϩ 11.993 (height in cm) Ϫ 17.197(age in yr) ϩ 23.522 (h•wk Ϫ1 of training) ϩ 62.118 (intensity of training using the Borg 6-20) ϩ 278.262 (natural log of years of training) Ϫ 1375.878 (R ϭ 0.83, R 2 adjusted ϭ 0.67, and SEE ϭ 259 mL•min Ϫ1). Cross-validation of this equation on the remaining sample of 35 subjects resulted in a %TE of 10%. Conclusions: The nonexercise equation presented here is recommended over previously published equations for estimating V O 2max in aerobically trained females.

New Directions for Evaluation, Dec 1, 2020

The ultimate goal of using the 2018 AEA Evaluator Competencies is effective program evaluation pr... more The ultimate goal of using the 2018 AEA Evaluator Competencies is effective program evaluation practice. This chapter suggests how the competencies can be used to enhance professional practice by individual evaluators, organizations/institutions, and evaluation associations. Individual use includes self‐assessing expertise, pursuing professional development, and using common evaluation language. Organizational use includes guiding internal evaluations or university evaluator education programs and curricula, seeking external assistance, and cultivating institutional learning. Association use includes sponsoring professional development, credentialing or certifying evaluators, and assessing competence through measurement or some other form of documentation such as a practice‐based portfolio. All of these uses hold potential to further professionalize the field of program evaluation.

Journal of Strength and Conditioning Research, Aug 1, 2005

A new non-exercise-based V O 2 max prediction equation for aerobically trained men.

Routledge eBooks, Jan 11, 2013

Evaluation Review, Jun 1, 1981

The evaluation of a juvenile diversion program was approached through the development of multiple... more The evaluation of a juvenile diversion program was approached through the development of multiple lines of evidence bearing on each of the two major program goals: providing a community-based alternative for arrested juveniles who otherwise would have been referred to the juvenile justice system and reducing juvenile delinquency. Convergent results from various measures, research designs, and data stratifications indicated that the program had little success in decreasing referrals to the juvenile justice system but produced a positive delinquency reduction effect (concentrated among less serious offenders). These results are discussed in terms of (1) their significance for the diversion program and (2) the nature of the multiple methodology that produced them.

Medicine and Science in Sports and Exercise, Aug 1, 2004

The purpose of this investigation was to cross-validate existing V O 2max prediction equations on... more The purpose of this investigation was to cross-validate existing V O 2max prediction equations on samples of aerobically trained males and females. Methods: A total of 142 aerobically trained males (mean Ϯ SD; 39.0 Ϯ 11.1 yr, N ϭ 93) and females (39.7 Ϯ 10.1 yr, N ϭ 49) performed a maximal incremental test to determine actual V O 2max on a cycle ergometer. The predicted V O 2max values from 18 equations (nine for each gender) were compared with actual V O 2max by examining the constant error (CE), standard error of estimate (SEE), correlation coefficient (r), and total error (TE). Results: The results of this investigation indicated that all of the equations resulted in significant (P Ͻ 0.006) CE values ranging from Ϫ216 to 1415 mL•min Ϫ1 for the males and 132 to 1037 mL•min Ϫ1 for the females. In addition the SEE, r, and TE values ranged from 266 to 609 mL•min Ϫ1 , 0.36 to 0.88, and 317 to 1535 mL•min Ϫ1 , respectively. Furthermore, the lowest TE values for the males and females represented 10% and 12% of the mean actual V O 2max values, respectively. Conclusions: The results of the analysis indicated that the two equations using age, body weight, and the power output achieved at V O 2 as predictor variables had the lowest SEE (7.7-9.8% of actual V O 2max) and TE (10-12% of actual V O 2max) values and are recommended for estimating V O 2max in aerobically trained males and females. The magnitude of the TE values (Ն20% of actual V O 2max) associated with the remaining 16 equations, however, were too large to be of practical value for estimating V O 2max .

Review of Educational Research, Mar 1, 2011

Teaching of Psychology, 2003

Innovation in Aging, 2017

Background and Objective: Social support is known to be an important protective factor against el... more Background and Objective: Social support is known to be an important protective factor against elder financial exploitation (FE), yet few empirical studies have examined the relationship between FE and distinct components of social support. Perceived social support, social network size, and interactions with close network members (positive and negative) were measured separately and tested as potential predictors of FE. Research Design and Methods: Three hundred and ninety-five community-dwelling adults aged 60 and older were recruited to complete a 90-minute survey and interview. We used OLS regression to examine the role of social support in FE. Other risk factors associated with FE including dependency, poor physical health, depression, cognition, and demographic characteristics were included as potential predictors. Results: Negative interactions with close network members predicted FE, and remained predictive when all other variables and social support factors were included in the model. Other social support factors were not unique predictors of FE. Discussion and Implications: Negative social interactions with close network members are important to assess and consider in FE prevention and intervention programs; relationships between social interactions and other risk factors warrant further attention.

Teaching of Psychology, Oct 1, 2000

2. I thank Jerry Hamburg for developing the course tutorial, programming some of the interactive ... more 2. I thank Jerry Hamburg for developing the course tutorial, programming some of the interactive exercises, handling technical support issues, and assisting in the design of the course.

Although previous meta-analyses have documented the efficacy of computer-assisted statistics inst... more Although previous meta-analyses have documented the efficacy of computer-assisted statistics instruction, the current study examined a range of specific features that presumably influence its effectiveness, such as the level of learner engagement, learner control, and the nature of feedback. In 45 experimental studies with a control condition, computer-assisted statistics instruction pro-vided a meaningful average performance advantage (d = 0.33). Because of great methodological heterogeneity among the studies, the authors employed a conservative but appropriate mixed effects model to examine potential mod-erator effects. The authors ’ analyses revealed three statistically significant findings. Larger effects were reported in studies in which treatment groups received more instructional time than control groups, in studies that recruited graduate students as participants, and in studies employing an embedded assessment. A newly developed second order standardized mean effect size, d...

Two major obstacles are responsible for the delay in getting good educational software into schoo... more Two major obstacles are responsible for the delay in getting good educational software into schools. First, software implementation is a complex process that many schools are simply not prepared to un-dertake. Second, there is very little empirical re-search available on the specific factors that make educational software effective, leaving it extremely difficult to separate good from poor quality soft-ware. We will describe a basic plan for implement-ing educational software into classrooms, incorpo-rating a research design that permits educational researchers to measure the effectiveness of the soft-ware. Part I of this series of two articles presents a basic plan for implementing educational software into classrooms. Part II, to appear next month, ex-

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2006;130;506-516 Chest Jared W. Coburn and Travis W. Beck Moh H. Malek, Dale E. Berger, Terry J. ... more 2006;130;506-516 Chest Jared W. Coburn and Travis W. Beck Moh H. Malek, Dale E. Berger, Terry J. Housh, William D. Marelich, Repair of Pectus Excavatum: A Metaanalysis Cardiovascular Function Following Surgical http://chestjournal.org/cgi/content/abstract/130/2/506 and services can be found online on the World Wide Web at: The online version of this article, along with updated information ). ISSN: 0012-3692. http://www.chestjournal.org/misc/reprints.shtml ( of the copyright holder may be reproduced or distributed without the prior written permission Northbrook IL 60062. All rights reserved. No part of this article or PDF by the American College of Chest Physicians, 3300 Dundee Road, 2007 Physicians. It has been published monthly since 1935. Copyright CHEST is the official journal of the American College of Chest