Change Leadership and Employees’ Commitment to Change

2018 ◽  
Vol 17 (2) ◽  
pp. 83-93 ◽  
Author(s):  
Bin Ling ◽  
Yue Guo ◽  
Dusheng Chen
Keyword(s):  
Collective Identity ◽  
Self Efficacy ◽  
Positive Relationship ◽  
Employee Commitment ◽  
Change Leadership ◽  
Mediating Effect ◽  
Commitment To Change ◽  
Individual Level ◽  
Using Data ◽  
The Individual

Abstract. This research develops a multilevel motivation model to examine the mediating effect of collective identity and change self-efficacy on the relationship between change leadership and employee commitment to change. Our model is empirically tested using data collected from 647 employees within 110 teams. The results show that in addition to the positive relationship between change leadership and employee commitment to change, collective identity at the group level and change self-efficacy at the individual level significantly mediate the positive relationship between change leadership and employee commitment to change. This paper rounds off with a discussion of limitations and contributions from theoretical and practical perspectives.

Do Financial Constraints Affect Depressive Symptomatology Among Mid-Aged and Older Adults?

2017 ◽  
Vol 85 (4) ◽  
pp. 438-455 ◽  
Author(s):  
Martie Gillen ◽  
Karen A. Zurlo ◽  
Hyungsoo Kim
Keyword(s):  
Perceived Control ◽  
Financial Constraints ◽  
Depressive Symptomatology ◽  
Least Square ◽  
Mediating Effect ◽  
Hierarchical Regression ◽  
Individual Level ◽  
Ordinary Least Square ◽  
Using Data ◽  
The Individual

The relationship between financial constraints and depressive symptomatology among adults aged 50 and greater was examined. The mediating effect of perceived control over one’s financial circumstances on this relationship was assessed. Ordinary least square hierarchical regression models were estimated using data from the Health and Retirement Study. As an aggregated measure, financial constraints were positively associated with depression in mid-age and late life, and this relationship was partially accounted for by the pathway of perceived control over one’s financial circumstances. When disaggregated as a measure, financial constraints at the individual level had a significant effect on depression, while financial constraints at the family and public levels did not have a significant effect. When added to the model, perceived control over one’s financial circumstances had a significant effect on depressive symptomatology, financial constraints remained significant at the individual level.

scholarly journals On “Nationology”: The Gravitational Field of National Culture

2021 ◽  
pp. 002202212110447
Author(s):  
Plamen Akaliyski ◽  
Christian Welzel ◽  
Michael Harris Bond ◽  
Michael Minkov
Keyword(s):  
Gravitational Field ◽  
Cultural Values ◽  
National Culture ◽  
Random Noise ◽  
Religious Groups ◽  
Individual Values ◽  
Individual Level ◽  
Collective Phenomenon ◽  
Using Data ◽  
The Individual

Nations have been questioned as meaningful units for analyzing culture due to their allegedly limited variance-capturing power and large internal heterogeneity. Against this skepticism, we argue that culture is by definition a collective phenomenon and focusing on individual differences contradicts the very concept of culture. Through the “miracle of aggregation,” we can eliminate random noise and arbitrary variation at the individual level in order to distill the central cultural tendencies of nations. Accordingly, we depict national culture as a gravitational field that socializes individuals into the orbit of a nation’s central cultural tendency. Even though individuals are also exposed to other gravitational forces, subcultures in turn gravitate within the limited orbit of their national culture. Using data from the World Values Survey, we show that individual values cluster in concentric circles around their nation’s cultural gravity center. We reveal the miracle of aggregation by demonstrating that nations capture the bulk of the variation in the individuals’ cultural values once they are aggregated into lower-level territorial units such as towns and sub-national regions. We visualize the gravitational force of national cultures by plotting various intra-national groups from five large countries that form distinct national clusters. Contrary to many scholars’ intuitions, alternative social aggregates, such as ethnic, linguistic, and religious groups, as well as diverse socio-demographic categories, add negligible explained variance to that already captured by nations.

scholarly journals Frankly, We Do Give a Damn

2017 ◽  
Vol 8 (7) ◽  
pp. 816-826 ◽  
Author(s):  
Gilad Feldman ◽  
Huiwen Lian ◽  
Michal Kosinski ◽  
David Stillwell
Keyword(s):  
Social Interactions ◽  
Positive Relationship ◽  
Real Life ◽  
Linguistic Analysis ◽  
The Other ◽  
Aggregate Level ◽  
Individual Level ◽  
Common Causes ◽  
The Individual ◽  
The Relationship

There are two conflicting perspectives regarding the relationship between profanity and dishonesty. These two forms of norm-violating behavior share common causes and are often considered to be positively related. On the other hand, however, profanity is often used to express one’s genuine feelings and could therefore be negatively related to dishonesty. In three studies, we explored the relationship between profanity and honesty. We examined profanity and honesty first with profanity behavior and lying on a scale in the lab (Study 1; N = 276), then with a linguistic analysis of real-life social interactions on Facebook (Study 2; N = 73,789), and finally with profanity and integrity indexes for the aggregate level of U.S. states (Study 3; N = 50 states). We found a consistent positive relationship between profanity and honesty; profanity was associated with less lying and deception at the individual level and with higher integrity at the society level.

Tolerance for Cheating From the Classroom to the Boardroom: A Study of Underlying Personal and Cultural Drivers

2019 ◽  
Vol 42 (1) ◽  
pp. 23-36 ◽  
Author(s):  
Glen H. Brodowsky ◽  
Emily Tarr ◽  
Foo Nin Ho ◽  
Don Sciglimpaglia
Keyword(s):  
Academic Dishonesty ◽  
Positive Relationship ◽  
Cultural Dimension ◽  
Academic Cheating ◽  
Corporate Behavior ◽  
Individual Level ◽  
Self Construal ◽  
Diverse Student ◽  
Business Behavior ◽  
The Individual

Professors face increasingly diverse student bodies that exhibit divergent understandings and motivations to engage in academic dishonesty. Research suggests that collectivism/individualism is the cultural dimension underlying such differences. This study measures this dimension at the individual level using two constructs—agency-communion and self-construal—and their relationships to tolerance for academic cheating and unethical corporate behavior. Analyses show a positive relationship between tolerance for academic cheating and for unethical corporate behavior. Both measures of collectivism (interdependent self-construal and communion) exhibit positive relationships to tolerance for unethical business behavior, while interdependence is also positively related to tolerance for academic cheating.

Disentangling Differences in Homicide Incarceration Rates by Immigration Status: A Comparison in Texas

2020 ◽  
pp. 001112872094096
Author(s):  
Erin A. Orrick ◽  
Alexander H. Updegrove ◽  
Alex R. Piquero ◽  
Tomislav Kovandzic
Keyword(s):  
Undocumented Immigrants ◽  
Immigrant Status ◽  
Immigration Status ◽  
Incarceration Rate ◽  
Individual Level ◽  
Crime And Punishment ◽  
Using Data ◽  
The Individual ◽  
Almost All ◽  
Immigration And Crime

Research addressing the purported relationship between immigration and crime remains popular, but some gaps remain under-explored. One important gap involves disentangling differences in crime and punishment by immigrant status, as measured across different definitions of immigration status and in relation to U.S. natives, at the individual level. Using data from Texas, results show that native-born U.S. citizens are incarcerated for homicide at higher rates than almost all immigrant groups. While the incarceration rate for undocumented immigrants was 24% greater than the rate for all foreign-citizens, this rate was significantly less than that for U.S. citizens. Among the immigrant status classifications available in this study, all were associated with lower incarceration rates for homicide than that of U.S. citizens.

scholarly journals Unravelling ecological analysis

2006 ◽  
Vol 2006 ◽  
pp. 1-18 ◽  
Author(s):  
D. G. Steel ◽  
M. Tranmer ◽  
D. Holt
Keyword(s):  
Linear Regression Analysis ◽  
Aggregate Data ◽  
Auxiliary Variables ◽  
Ecological Analysis ◽  
Individual Level ◽  
Ecological Regression ◽  
Australian Census ◽  
Using Data ◽  
The Individual

Ecological analysis involves analysing aggregate data for groups of individuals to make inferences about relationships at the individual level. Often the results of such analyses give badly biased estimates. This paper will consider the sources of bias in linear regression analysis using aggregate data. The role of variation of the individual level relationships between groups and the consequent within-group correlations and how these are related to auxiliary variables that characterise the differences between groups is considered. A method of adjusting ecological regression for the effects of auxiliary variables is described and evaluated using data from the 1991 Australian Census.

The Average Response Method of Scaling

1990 ◽  
Vol 15 (1) ◽  
pp. 9-38 ◽  
Author(s):  
Albert E. Beaton ◽  
Eugene G. Johnson
Keyword(s):  
Linear Models ◽  
Predictive Distribution ◽  
Average Response ◽  
Individual Level ◽  
Multiple Imputations ◽  
Plausible Values ◽  
Scale Scores ◽  
Using Data ◽  
The Individual ◽  
Response Method

The average response method (ARM) of scaling nonbinary data was developed to scale the data from the assessments of writing conducted by the National Assessment of Educational Progress (NAEP). The ARM applies linear models and multiple imputations technologies to characterize the predictive distribution of the person-level average of ratings over a pool of exercises when each person has responded to only a few of the exercises. The derivations of “plausible values” from the individual-level distributions of potential scale scores are given. Conditions are provided for the unbiasedness of estimates based on the plausible values, and the potential magnitude of the bias when the conditions are not met is indicated. Also discussed is how the plausible values allow for an accounting of the uncertainties due to the sampling of individuals and to the incomplete information on each sampled individual. The technique is illustrated using data from the assessment of writing.

Redistribution under the Social Security benefit formula at the individual and household levels, 1992 and 2004

2012 ◽  
Vol 12 (1) ◽  
pp. 1-27 ◽  
Author(s):  
ALAN L. GUSTMAN ◽  
THOMAS L. STEINMEIER ◽  
NAHID TABATABAI
Keyword(s):  
Social Security ◽  
Labor Force Participation ◽  
Social Security Benefit ◽  
Household Level ◽  
Individual Level ◽  
The Social ◽  
High Earning ◽  
Using Data ◽  
The Individual ◽  
Over Time

AbstractStudies using data from the early 1990s suggested that while the progressive Social Security benefit formula succeeded in redistributing benefits from individuals with high earnings to individuals with low earnings, it was much less successful in redistributing benefits from households with high earnings to households with low earnings. Wives often earned much less than their husbands. As a result, much of the redistribution at the individual level was effectively from high earning husbands to their own lower earning wives. In addition, spouse and survivor benefits accrue disproportionately to women from high income households. Both factors mitigate redistribution at the household level. It has been argued that with the increase in the labor force participation and earnings of women, Social Security now should do a better job of redistributing benefits at the household level. To be sure, when we compare outcomes for a cohort with a household member age 51 to 56 in 1992 with those from a cohort born twelve years later, redistribution at the household level has increased over time. Nevertheless, as of 2004 there still is substantially less redistribution of benefits from high to low earning households than from high to low earning individuals.

scholarly journals What we evaluate, when we evaluate the level of mathematic skills?

2014 ◽  
Vol 2 (1) ◽  
pp. 69-78
Author(s):  
Laura Tuohilampi
Keyword(s):  
Social Interaction ◽  
Mathematics Teaching ◽  
Self Efficacy ◽  
Skill Level ◽  
Individual Level ◽  
Learning Mathematics ◽  
Different Dimensions ◽  
Context Of Learning ◽  
The Individual ◽  
Narrow Area

The evaluation of skill-level in mathematics and the proposed activities to improve the skill-level often include only narrow area of the context of learning. Measuring the skill-level and its background variables is often targeted to traits on individual-level, such as liking mathematics, feeling of self-efficacy, or gender. To improve the individual-level traits, measures targeted to individuals, such as the use of games in mathematics teaching to improve the attitudes towards mathematics, have been suggested. However, learning happens on many contexts with different dimensions that cannot be separated from one another. An individual learns and forms concept structures in social interaction, which has been shaped by the prevailing culture. The challenges in learning mathematics should be examined from a perspective that is wider than the individual. When the mechanical increase in skill-level of an individual is scrutinized, we may forget the purpose and benefits of increasing the skill-level in comparison with the prevailing concept.

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