Outcome Assessment of a Writing-Skill Improvement Initiative: Results and Methodological Implications

2002 ◽  
Vol 17 (2) ◽  
pp. 123-148 ◽  
Author(s):  
Hollis Ashbaugh ◽  
Karla M. Johnstone ◽  
Terry D. Warfield
Keyword(s):  
Experimental Design ◽  
Outcome Assessment ◽  
Business Students ◽  
Writing Skills ◽  
Accounting Students ◽  
Writing Skill ◽  
Within Subjects ◽  
Skill Improvement ◽  
Insight Into ◽  
Over Time

This paper reports the outcome assessment of our accounting department's writing-skill improvement initiative. We employ complementary experimental designs to examine the effects of professionally relevant writing experiences on accounting students' writing-skill development. Using a between-subjects experimental design, we compare the writing skills of accounting students who participated in our writing initiative with the writing skills of other business students who did not participate. Using a within-subjects experimental design, we track improvements of accounting students' writing skills over time. Results from both outcome assessment methodologies indicate that accounting students' writing skills improve as students participate in our writing initiative. This paper provides insight into the features of a successful writing initiative and offers methodological suggestions for conducting outcome assessments of writing initiatives.

scholarly journals THE EFFECT OF PICTURE WORD INDUCTIVE MODEL (PWIM) AND STUDENTS’ SELF-EFFICACY TOWARD THEIR WRITING SKILL OF DESCRIPTIVE TEXTS AT GRADE X OF SMA NEGERI 1 IX KOTO SUNGAI LASI

2018 ◽  
Vol 7 (2) ◽  
pp. 113
Author(s):  
Mariska Sepyanda
Keyword(s):  
Experimental Design ◽  
Factorial Design ◽  
Self Efficacy ◽  
Writing Skills ◽  
Research Data ◽  
T Test ◽  
Student Writing ◽  
Skill Test ◽  
Writing Skill ◽  
Quasi Experimental

This study was written to see the effect of picture strategy inductive model (PWIM) and student self-efficacy to their skills in writing descriptive text. This research is a quasi-experimental design with factorial design. This research data is taken from the result of student writing skill test and self-efficacy questionnaire. Then, the data were analyzed by using t-test and two-way Anova through Minitab 14 application. The results of this study indicate that PWIM strategy has a significant effect on students' writing skill when compared with listing strategy used by teachers in writing teaching. The result shows a t count of 1,900 which is larger than the t-table that is worth 1.684. Then, students with high self-efficacy taught with the PWIM strategy have a better ability to write descriptive text than students taught with a listing strategy, where t counts are 3.160 which is greater than t-tables of 1.812. However, students with low self-efficacy taught by the PWIM strategy do not have a better ability to write descriptive text than students taught by a listing strategy that t-counts 1.730 smaller than t-tables of 1.812 . Furthermore, from the results of the study also found that there is no interaction between teaching strategies with self-efficacy to the writing skills of students where F-count is 0.08 higher than the F-table is 2.58.

Experimental Design as a Retrieval Method for Assessing the Phenomenological Characteristics of Episodic Memories, Episodic Future Thoughts, and Episodic Counterfactual Thoughts

2020 ◽  
Author(s):  
Jared Branch
Keyword(s):  
Experimental Design ◽  
Effect Sizes ◽  
Retrieval Method ◽  
Future Studies ◽  
Within Subjects ◽  
Demand Effects ◽  
Episodic Memories ◽  
Theoretical Considerations

Studies assessing the phenomenological characteristics of episodic memories, episodic future thoughts, and episodic counterfactual thoughts normally utilize a within-subjects design. As such, there are concerns that the observed similarities in phenomenological characteristics are the result of demand effects or other related matters, rather than theoretical considerations. In this study, a within-subjects experimental design was directly compared with a between-subjects experimental design. In both conditions, participants responded to existing questionnaires used to assess phenomenological characteristics of episodic memories, episodic future thoughts, and episodic counterfactual thoughts. The within-subjects design resulted more often in significant findings and larger effect sizes compared to the between-subjects design. The implications for experimental design in future studies is discussed.

Motivating Exercise Through Social Media: Is a Picture Always Worth a Thousand Words?

2018 ◽  
Author(s):  
Caitlyn Johnston ◽  
William E. Davis
Keyword(s):  
Social Media ◽  
Individual Differences ◽  
Experimental Design ◽  
Health Behaviors ◽  
Media Content ◽  
Exercise Motivation ◽  
Positive Health ◽  
Content Type ◽  
Within Subjects

In the present study, we examined how the influence of exercise-related social media content on exercise motivation might differ across content type (with images vs. without images) and account type (individual vs. corporate). Using a 2 × 2 within-subjects experimental design, 229 participants viewed a series of 40 actual social media posts across the four conditions (individual posts with images, corporate posts with images, individual posts without images, and corporate posts without images) in a randomized order. Participants rated the extent to which they felt each social media post motivated them to exercise, would motivate others to exercise, and was posted for extrinsic reasons. Participants also completed other measures of individual differences including their own exercise motivation. Posts with images from individuals were more motivating than posts with images from corporations; however, corporate posts without images were more motivating than posts without images from individuals. Participants expected others to be similarly motivated by the stimuli, and perceived corporate posts as having been posted for more extrinsic reasons than individuals’ posts. These findings enhance our understanding of how social media may be used to promote positive health behaviors.

Dualities, Dialectics, and Paradoxes in Organizational Life

2018 ◽  
Keyword(s):  
Dynamic Systems ◽  
Empirical Studies ◽  
Organizational Studies ◽  
Organizational Life ◽  
Organizational Processes ◽  
Organization Studies ◽  
Process Studies ◽  
Convergence And Divergence ◽  
Insight Into ◽  
Over Time

Organizational contradictions and process studies offer interwoven and complementary insights. Studies of dialectics, paradox, and dualities depict organizational contradictions that are oppositional as well as interrelated such that they persistently morph and shift over time. Studies of process often examine how contradictions fuel emergent, dynamic systems and stimulate novelty, adaptation, and transformation. Drawing from rich conversations at the Eighth International Symposium on Process Organization Studies, the contributors to this volume unpack these relationships in more depth. The chapters explore three main, connected themes through both conceptual and empirical studies, including (1) offering insight into how process theorizing advances understandings of organizational contradictions; (2) shedding light on how dialectics, paradoxes, and dualities fuel organizational processes that affect persistence and transformation; and (3) exploring the convergence and divergence of dialectics, paradox, and dualities lenses. Taken together, this book offers key insights in order to inform persistent, contradictory dynamics in organizations and organizational studies.

The Oxford Handbook of the Brazilian Economy

2018 ◽  
Keyword(s):  
Direct Investment ◽  
Global Economy ◽  
Iron Ore ◽  
Structural Features ◽  
Economic Importance ◽  
Closed Economy ◽  
Current Characteristics ◽  
Insight Into ◽  
Contemporary Context ◽  
Over Time

Brazil constitutes a globally vital but troubled economy. It accounts for the largest GDP in Latin America and ranks among the world’s largest exporters of critical commodities including iron ore, soya, coffee, and beef. In recent years Brazil’s global economic importance has been magnified by a surge in both outward and inward foreign direct investment. This has served to further internationalize what has been historically a relatively closed economy. The purpose of this Handbook is to offer real insight into the Brazil’s economic development in contemporary context, understanding its most salient characteristics and analyzing its structural features across various dimensions. At a more granular level, this volume accomplishes the following tasks. First, it provides an understanding of the economy’s evolution over time and the connection of its current characteristics to this evolution. Second, it analyzes Brazil’s broader place in the global economy, and considers the ways in which this role has changed, and is likely to change, over coming years. Third, reflecting contemporary concerns, the volume offers an understanding, not only of how one of the world’s key economies has developed and transformed itself, but also of the ways in which this process has yet to be completed. The volume thus analyzes the current challenges facing the Brazilian economy and the kinds of issues that need to be tackled for these to be addressed.

scholarly journals Detecting bursty terms in computer science research

2019 ◽  
Vol 122 (1) ◽  
pp. 681-699 ◽  
Author(s):  
E. Tattershall ◽  
G. Nenadic ◽  
R. D. Stevens
Keyword(s):  
Computer Science ◽  
Historical Data ◽  
Science Research ◽  
Detection Algorithm ◽  
Trend Detection ◽  
Free Text ◽  
Research Topics ◽  
Computer Science Research ◽  
Insight Into ◽  
Over Time

AbstractResearch topics rise and fall in popularity over time, some more swiftly than others. The fastest rising topics are typically called bursts; for example “deep learning”, “internet of things” and “big data”. Being able to automatically detect and track bursty terms in the literature could give insight into how scientific thought evolves over time. In this paper, we take a trend detection algorithm from stock market analysis and apply it to over 30 years of computer science research abstracts, treating the prevalence of each term in the dataset like the price of a stock. Unlike previous work in this domain, we use the free text of abstracts and titles, resulting in a finer-grained analysis. We report a list of bursty terms, and then use historical data to build a classifier to predict whether they will rise or fall in popularity in the future, obtaining accuracy in the region of 80%. The proposed methodology can be applied to any time-ordered collection of text to yield past and present bursty terms and predict their probable fate.

KONTRIBUSI PENGUASAAN KALIMAT EFEKTIF TERHADAP KETERAMPILAN MENULIS TEKS EKSPOSISI SISWA KELAS X SMK NEGERI 2 PADANG

2019 ◽  
Vol 8 (3) ◽  
pp. 78
Author(s):  
Diana Citra ◽  
Afnita Afnita
Keyword(s):  
Random Sampling ◽  
Writing Skills ◽  
Sampling Technique ◽  
First Year ◽  
Performance Tests ◽  
First Year Students ◽  
Correlational Design ◽  
Writing Skill ◽  
And Performance ◽  
Descriptive Method

ABSTRACT The purpose of this study was categorized into three. First, to describe the effective sentence mastery of the first year students at SMK Negeri 2 Padang. Second, to describe the writing skills of a exposition of the first year students at SMK Negeri 2 Padang. Third, to describe the contribution of the effective sentence mastery into the writing skills of a exposition text made by the first year students at SMK Negeri 2 Padang. The design of this research was quantitative with a descriptive method. Then, this study also was a correlational design. The population of this study was the first year students at SMK Negeri 2 Padang for about 498 students. The sample of this study was taken by using a proportional random sampling technique (15%), which was 70 students. The data of this study were the results of effective sentence mastery and the results of the writing skill of a exposition text. The instrument of this study was an objective test to measure effective sentence mastery and performance tests to measure expositon text. There were several results of this study. First, the effective sentence mastery of the first year students at SMK Negeri 2 Padang was in Good qualifications (B). Second, the writing skills of a exposition of the first year students at SMK Negeri 2 Padang was in a Good qualification (B). Third, describe the effective sentence mastery contributed 82,00% to the exposition text writing skills of the first year students of SMK Negeri 2 Padang. Kata Kunci: kontribusi, penguasaan kalimat efektif,  keterampilan menulis teks eksposisi 

Decomposition of Growth Curves into Growth Rate and Acceleration: a Novel Procedure to Monitor Bacterial Growth and the Time-Dependent Effect of Antimicrobials

2021 ◽  
Author(s):  
M. Luisa Navarro-Pérez ◽  
M. Coronada Fernández-Calderón ◽  
Virginia Vadillo-Rodríguez
Keyword(s):  
Growth Rate ◽  
Mathematical Models ◽  
Bacterial Growth ◽  
Time Course ◽  
Antimicrobial Agents ◽  
Numerical Procedure ◽  
Growth Curves ◽  
Predictive Microbiology ◽  
Insight Into ◽  
Over Time

In this paper, a simple numerical procedure is presented to monitor the growth of Streptococcus sanguinis over time in the absence and presence of propolis, a natural antimicrobial. In particular, it is shown that the real-time decomposition of growth curves obtained through optical density measurements into growth rate and acceleration can be a powerful tool to precisely assess a large range of key parameters [ i.e. lag time ( t 0 ), starting growth rate ( γ 0 ), initial acceleration of the growth ( a 0 ), maximum growth rate ( γ max ), maximum acceleration ( a max ) and deceleration ( a min ) of the growth and the total number of cells at the beginning of the saturation phase ( N s )] that can be readily used to fully describe growth over time. Consequently, the procedure presented provides precise data of the time course of the different growth phases and features, which is expected to be relevant, for instance, to thoroughly evaluate the effect of new antimicrobial agents. It further provides insight into predictive microbiology, likely having important implications to assumptions adopted in mathematical models to predict the progress of bacterial growth. Importance: The new and simple numerical procedure presented in this paper to analyze bacterial growth will possibly allow identifying true differences in efficacy among antimicrobial drugs for their applications in human health, food security, and environment, among others. It further provides insight into predictive microbiology, likely helping in the development of proper mathematical models to predict the course of bacterial growth under diverse circumstances.

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