Effects of Principal Turnover on School Performance

2021 ◽  
pp. 019263652110704
Author(s):  
Dick Carpenter ◽  
Misty DeHerrera ◽  
Megan Oleson ◽  
Joseph Taylor
Keyword(s):  
Public Schools ◽  
Least Squares ◽  
School Performance ◽  
Ordinary Least Squares ◽  
Least Squares Regression ◽  
Difference In Difference ◽  
Principal Turnover ◽  
Performance Analyses ◽  
Leadership Changes ◽  
The Relationship

This study asks: What is the relationship between principal turnover and school performance? We use data on all Colorado public schools for the years 2013 and 2018 to examine the relationship between turnover and school performance. Analyses included difference-in-difference and ordinary least squares regression after first differencing. Results indicated almost 50% of schools experienced principal turnover. The number of turnover events ranged from zero to three. Results showed no significant differences in school performance based on turnover status or number of leadership changes.

ADVERSE SOCIAL COMPARISON PROCESSES AND NEGATIVE SELF-FEELINGS: A TEST OF ALTERNATIVE MODELS

2004 ◽  
Vol 32 (1) ◽  
pp. 31-44 ◽  
Author(s):  
Beverly L. Stiles ◽  
Howard B. Kaplan
Keyword(s):  
Logistic Regression ◽  
Longitudinal Study ◽  
Least Squares ◽  
Social Comparison ◽  
Social Comparisons ◽  
Ordinary Least Squares ◽  
Least Squares Regression ◽  
Ordinary Least Squares Regression ◽  
Alternative Models ◽  
The Relationship

Theoretically informed models are estimated that specify the direction of the relationship between social comparisons and negative self-feelings. The data are from three waves of an ongoing longitudinal study of adaptations to stress. Subjects are individuals who were tested in their middle teens (T3), mid-twenties (Time 4) and in their mid-thirties (Time 5). The models were estimated using both logistic regression and ordinary least squares regression. In general, the results suggest that negative self-feelings are an antecedent of social comparison processes as negative self-feelings are significantly related to all five measures of social comparison. Findings suggest that negative self-feelings are sometimes a consequence of social comparison processes as negative self-feelings are significantly related to three of the five measures of social comparison.

scholarly journals Trust and Professional Skepticism in the Relationship between Auditors and Clients: Overcoming the Dichotomy Myth

2016 ◽  
Vol 29 (1) ◽  
pp. 19-42 ◽  
Author(s):  
Ewald Aschauer ◽  
Matthias Fink ◽  
Andrea Moro ◽  
Katharina van Bakel-Auer ◽  
Bent Warming-Rasmussen
Keyword(s):  
Least Squares ◽  
Interpersonal Trust ◽  
Ordinary Least Squares ◽  
Testable Hypothesis ◽  
Least Squares Regression ◽  
Professional Skepticism ◽  
Multimethod Approach ◽  
Regulatory Measures ◽  
The Relationship ◽  
Jel Classifications

ABSTRACT This study empirically investigates the relationship between auditors' identification-based trust in client firms' managers (CEOs/CFOs) and their perceptions of auditors' professional skepticism. We employ a multimethod approach broken down into two studies. First, in Study 1, we approached auditors and clients using narrative interviews in order to identify the working definitions of interpersonal trust and professional skepticism and also to develop an empirical and testable hypothesis against the backdrop of the current literature. Second, in Study 2, an ordinary least squares regression based on data collected from 233 real auditor-client dyads in Germany reveals that auditors' identification-based trust is positively associated with their clients' perception of the auditors' professional skepticism. The identified coexistence of trust and professional skepticism in auditor-client dyads implies that regulatory measures that impede the evolution of trust between auditors and their clients will fail to enhance professional skepticism. Instead, regulations should give auditors and their clients sufficient leeway to establish identification-based trust. JEL Classifications: M42.

The impact of executives’ perceptions of environmental threats and organizational slack on innovation strategies

2016 ◽  
Vol 7 (2) ◽  
pp. 216-230 ◽  
Author(s):  
Chengyuan Wang ◽  
Biao Luo ◽  
Yong Liu ◽  
Zhengyun Wei
Keyword(s):  
Cognitive Theory ◽  
Environmental Changes ◽  
Ordinary Least Squares ◽  
Organizational Slack ◽  
Least Squares Regression ◽  
Content Type ◽  
Environmental Threats ◽  
Innovation Strategies ◽  
The Impact ◽  
The Relationship

Purpose The paper aims to study the relationship between executives’ perceptions of environmental threats and innovation strategies and investigate the moderating effect of contextual factor (i.e. organizational slack) on such relations. It proposes a dualistic relationship between executives’ perceptions of environmental threats and innovation strategies, in which different perceptions of environmental threats will lead to corresponding innovation strategies, and dyadic organizational slack can promote such processes. Design/methodology/approach The paper is based on a survey with 163 valid questionnaires, which were all completed by executives. Hierarchical ordinary least-squares regression analysis is used to test the hypotheses proposed in this paper. Findings The paper provides empirical insights about that executives tend to choose exploratory innovation when they perceive environmental changes as likely loss threats, yet adopt exploitative innovation when perceiving control-reducing threats. Furthermore, unabsorbed slack (e.g. financial redundancy) positively moderates both relationships, while absorbed slack (e.g. operational redundancy) merely positively influences the relationship between the perception of control-reducing threats and exploitative innovation. Originality/value The paper bridges the gap between organizational innovation and cognitive theory by proposing a dualistic relationship between executives’ perceptions of environmental threats and innovation strategies. The paper further enriches innovation studies by jointly considering both subjective and objective influence factors of innovation and argues that organizational slack can moderate such dualistic relationship.

Audit committee characteristics and the moderating effect of Malaysian code of corporate governance on IPO liquidity

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amal Mohammed Al-Masawa ◽  
Rasidah Mohd-Rashid ◽  
Hamdan Amer Al-Jaifi ◽  
Shaker Dahan Al-Duais
Keyword(s):  
Corporate Governance ◽  
Initial Public Offerings ◽  
Audit Committee ◽  
Ordinary Least Squares ◽  
Moderating Effect ◽  
Least Squares Regression ◽  
Content Type ◽  
Code Of Corporate Governance ◽  
The Impact ◽  
The Relationship

Purpose This study aims to investigate the link between audit committee characteristics and the liquidity of initial public offerings (IPOs) in Malaysia, which is an emerging economy in Southeast Asia. Another purpose of this study is to examine the moderating effect of the revised Malaysian code of corporate governance (MCCG) on the link between audit committee characteristics and IPO liquidity. Design/methodology/approach The final sample consists of 304 Malaysian IPOs listed in 2002–2017. This study uses ordinary least squares regression method to analyse the data. To confirm this study’s findings, a hierarchical or four-stage regression analysis is used to compare the t-values of the main and moderate regression models. Findings The findings show that audit committee characteristics (size and director independence) have a positive and significant relationship with IPO liquidity. Also, the revised MCCG positively moderates the relationship between audit committee characteristics and IPO liquidity. Research limitations/implications This study’s findings indicate that companies with higher audit committee independence have a more effective monitoring mechanism that mitigates information asymmetry, thus reducing adverse selection issues during share trading. Practical implications Policymakers could use the results of this study in developing policies for IPO liquidity improvements. Additionally, the findings are useful for traders and investors in their investment decision-making. For companies, the findings highlight the crucial role of the audit committee as part of the control system that monitors corporate governance. Originality/value To the authors’ knowledge, this work is a pioneering study in the context of a developing country, specifically Malaysia that investigates the impact of audit committee characteristics on IPO liquidity. Previously, the link between corporate governance and IPO liquidity had not been investigated in Malaysia. This study also contributes to the IPO literature by providing empirical evidence regarding the moderating effect of the revised MCCG on the relationship between audit committee characteristics and IPO liquidity.

scholarly journals Tolerance Intervals in a Heteroscedastic Linear Regression Context with Applications to Aerospace Equipment Surveillance

2009 ◽  
Vol 2009 ◽  
pp. 1-8 ◽  
Author(s):  
Janet Myhre ◽  
Daniel R. Jeske ◽  
Michael Rennie ◽  
Yingtao Bi
Keyword(s):  
Linear Regression ◽  
Least Squares ◽  
Performance Metrics ◽  
Weighted Least Squares ◽  
Ordinary Least Squares ◽  
Automated System ◽  
Least Squares Regression ◽  
Data Set ◽  
Tolerance Intervals ◽  
Power Of The Test

A heteroscedastic linear regression model is developed from plausible assumptions that describe the time evolution of performance metrics for equipment. The inherited motivation for the related weighted least squares analysis of the model is an essential and attractive selling point to engineers with interest in equipment surveillance methodologies. A simple test for the significance of the heteroscedasticity suggested by a data set is derived and a simulation study is used to evaluate the power of the test and compare it with several other applicable tests that were designed under different contexts. Tolerance intervals within the context of the model are derived, thus generalizing well-known tolerance intervals for ordinary least squares regression. Use of the model and its associated analyses is illustrated with an aerospace application where hundreds of electronic components are continuously monitored by an automated system that flags components that are suspected of unusual degradation patterns.

Exploring consumers' response to text-based chatbots in e-commerce: the moderating role of task complexity and chatbot disclosure

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xusen Cheng ◽  
Ying Bao ◽  
Alex Zarifis ◽  
Wankun Gong ◽  
Jian Mou
Keyword(s):  
Task Complexity ◽  
Deep Understanding ◽  
Ordinary Least Squares ◽  
Survey Method ◽  
Least Squares Regression ◽  
Moderating Effects ◽  
Content Type ◽  
Identity Disclosure ◽  
The Relationship

PurposeArtificial intelligence (AI)-based chatbots have brought unprecedented business potential. This study aims to explore consumers' trust and response to a text-based chatbot in e-commerce, involving the moderating effects of task complexity and chatbot identity disclosure.Design/methodology/approachA survey method with 299 useable responses was conducted in this research. This study adopted the ordinary least squares regression to test the hypotheses.FindingsFirst, the consumers' perception of both the empathy and friendliness of the chatbot positively impacts their trust in it. Second, task complexity negatively moderates the relationship between friendliness and consumers' trust. Third, disclosure of the text-based chatbot negatively moderates the relationship between empathy and consumers' trust, while it positively moderates the relationship between friendliness and consumers' trust. Fourth, consumers' trust in the chatbot increases their reliance on the chatbot and decreases their resistance to the chatbot in future interactions.Research limitations/implicationsAdopting the stimulus–organism–response (SOR) framework, this study provides important insights on consumers' perception and response to the text-based chatbot. The findings of this research also make suggestions that can increase consumers' positive responses to text-based chatbots.Originality/valueExtant studies have investigated the effects of automated bots' attributes on consumers' perceptions. However, the boundary conditions of these effects are largely ignored. This research is one of the first attempts to provide a deep understanding of consumers' responses to a chatbot.

scholarly journals Using Quantile Regression to Estimate Intervention Effects Beyond the Mean

2019 ◽  
Vol 79 (5) ◽  
pp. 883-910 ◽  
Author(s):  
Spyros Konstantopoulos ◽  
Wei Li ◽  
Shazia Miller ◽  
Arie van der Ploeg
Keyword(s):  
Quantile Regression ◽  
Least Squares ◽  
Large Scale ◽  
Social Science Research ◽  
Empirical Work ◽  
Science Research ◽  
Ordinary Least Squares ◽  
Least Squares Regression ◽  
Intervention Effects ◽  
Education Data

This study discusses quantile regression methodology and its usefulness in education and social science research. First, quantile regression is defined and its advantages vis-à-vis vis ordinary least squares regression are illustrated. Second, specific comparisons are made between ordinary least squares and quantile regression methods. Third, the applicability of quantile regression to empirical work to estimate intervention effects is demonstrated using education data from a large-scale experiment. The estimation of quantile treatment effects at various quantiles in the presence of dropouts is also discussed. Quantile regression is especially suitable in examining predictor effects at various locations of the outcome distribution (e.g., lower and upper tails).

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