Following in your sibling’s steps: Sibling influence and young adults’ marital attitudes

2019 ◽  
Vol 37 (3) ◽  
pp. 885-905
Author(s):  
Jenna R. Cassinat ◽  
Alexander C. Jensen
Keyword(s):  
Young Adults ◽  
Logistic Regression ◽  
Least Squares ◽  
Young Adulthood ◽  
Binary Logistic Regression ◽  
Ordinary Least Squares ◽  
Limited Attention ◽  
Least Squares Regression ◽  
The U.S

This study explored the role of sibling modeling and differentiation in young adults’ beliefs about marriage and expectation of marriage in reference to their perception of their closest aged sibling’s marital centrality. Siblings play an important role in socialization, yet their role in young adulthood, and in relation to attitudes about marriage, has received limited attention. Marriage is an important aspect of development for young adults; therefore, this study specifically examined the role of sibling modeling and differentiation in young adults’ formation of expectation of marriage and marital centrality. Data came from 1,258 unmarried young adults (age 18–29 years) from across the U.S. ( M = 25.02; SD = 2.60; 47% female). Models for marital centrality were tested using hierarchical ordinary least squares regression, and models for the expectation of marriage were examined using binary logistic regression. Findings revealed that siblings’ beliefs and expectations to marry were more closely related in conditions of high modeling. For those with only one sibling, greater differentiation was linked to less similarity between siblings’ marital centrality. Siblings therefore may play an important role in young adults’ expectation of marriage and beliefs about marital centrality.

scholarly journals Least Likely Observations in Regression Models for Categorical Outcomes

2002 ◽  
Vol 2 (3) ◽  
pp. 296-300 ◽  
Author(s):  
Jeremy Freese
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Binary Logistic Regression ◽  
Positive Outcome ◽  
Ordinary Least Squares ◽  
Parameter Estimates ◽  
Least Squares Regression ◽  
Binary Logistic Regression Model ◽  
Ordered Logistic Regression ◽  
Negative Outcome

This article presents a method and program for identifying poorly fitting observations for maximum-likelihood regression models for categorical dependent variables. After estimating a model, the program leastlikely will list the observations that have the lowest predicted probabilities of observing the value of the outcome category that was actually observed. For example, when run after estimating a binary logistic regression model, leastlikely will list the observations with a positive outcome that had the lowest predicted probabilities of a positive outcome and the observations with a negative outcome that had the lowest predicted probabilities of a negative outcome. These can be considered the observations in which the outcome is most surprising given the values of the independent variables and the parameter estimates and, like observations with large residuals in ordinary least squares regression, may warrant individual inspection. Use of the program is illustrated with examples using binary and ordered logistic regression.

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 Depression, Masculine Norm Adherence, and Fathering Behavior

2018 ◽  
Vol 40 (1) ◽  
pp. 48-84 ◽  
Author(s):  
Kevin Shafer ◽  
Brandon Fielding ◽  
Erin K. Holmes
Keyword(s):  
Least Squares ◽  
Father Involvement ◽  
Regression Models ◽  
Ordinary Least Squares ◽  
Positive Control ◽  
Harsh Parenting ◽  
Least Squares Regression ◽  
Independent Effects ◽  
The Impact

While, overall, fathers have become more involved as parents, there may be significant variability in how involved fathers are in the lives of their children. This study examines how paternal depression and masculine norm adherence affect father involvement. Using new data from the Survey of Contemporary Fatherhood ( N = 2,181) and ordinary least squares regression models, we focus on the effect of depression on four measures of fathering behavior, with masculine norm adherence as a moderator. Results indicated that depression and masculinity had independent effects on father involvement. Furthermore, masculinity moderated the effect of depression for warmth, engagement, and use of harsh parenting—but not positive control. These results have important implications for how we think about the impact of depression on parenting and the role of socialized response in understanding fathering outcomes.

The Crux of the Method: Assumptions in Ordinary Least Squares and Logistic Regression

2008 ◽  
Vol 103 (2) ◽  
pp. 431-434 ◽  
Author(s):  
Rebecca G. Long
Keyword(s):  
Logistic Regression ◽  
Least Squares ◽  
Ordinary Least Squares ◽  
Current Paper ◽  
Least Squares Regression ◽  
Ordinary Least Squares Regression ◽  
Binary Dependent Variable

Logistic regression has increasingly become the tool of choice when analyzing data with a binary dependent variable. While resources relating to the technique are widely available, clear discussions of why logistic regression should be used in place of ordinary least squares regression are difficult to find. The current paper compares and contrasts the assumptions of ordinary least squares with those of logistic regression and explains why logistic regression's looser assumptions make it adept at handling violations of the more important assumptions in ordinary least squares.

scholarly journals Understanding the role of oxidative stress in the incidence of metabolic syndrome and obstructive sleep apnea

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Behnam Kargar ◽  
Zahra Zamanian ◽  
Majid Bagheri Hosseinabadi ◽  
Vahid Gharibi ◽  
Mohammad Sanyar Moradi ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Metabolic Syndrome ◽  
Obstructive Sleep Apnea ◽  
Logistic Regression ◽  
Sleep Apnea ◽  
International Diabetes Federation ◽  
Binary Logistic Regression ◽  
Stress Index ◽  
Obstructive Sleep

Abstract Background Understanding the causes and risk factors of metabolic syndrome is important for promoting population health. Oxidative stress has been associated with metabolic syndrome, and also obstructive sleep apnea. These are two diseases which have common prognostic characteristics for heart disease. The aim of this study was to examine the role of oxidative stress in the concurrent presence of metabolic syndrome and obstructive sleep apnea in a working population. Methods Participants were 163 artisan bakers in Shahroud, Iran, routinely exposed to significant heat stress and other oxidative stress indicators on a daily basis as part of their work. Using a cross-sectional design, data relevant to determining metabolic syndrome status according to International Diabetes Federation criteria, and the presence of obstructive sleep apnea according to the STOP-Bang score, was collected. Analyses included hierarchical binary logistic regression to yield predictors of the two diseases. Results Hierarchical binary logistic regression showed that oxidative stress – alongside obesity, no regular exercise, and smoking – was an independent predictor of metabolic syndrome, but not obstructive sleep apnea. Participants who were obese were 28 times more likely to have metabolic syndrome (OR 28.59, 95% CI 4.91–63.02) and 44 times more likely to have obstructive sleep apnea (OR 44.48, 95% CI 4.91–403.28). Participants meeting metabolic syndrome criteria had significantly higher levels of malondialdehyde (p <  0.05) than those who did not. No difference in oxidative stress index levels were found according to obstructive sleep apnea status. Conclusions Our findings suggest that oxidative stress contributes to the onset of metabolic syndrome, and that obstructive sleep apnea is involved in oxidative stress. Whilst obesity, exercise, and smoking remain important targets for reducing the incidence of metabolic syndrome and obstructive sleep apnea, policies to control risks of prolonged exposure to oxidative stress are also relevant in occupations where such environmental conditions exist.

scholarly journals Initial coin offerings and the cryptocurrency hype - the moderating role of exogenous and endogenous signals

2021 ◽  
Author(s):  
Ferdinand Thies ◽  
Sören Wallbach ◽  
Michael Wessel ◽  
Markus Besler ◽  
Alexander Benlian
Keyword(s):  
Least Squares ◽  
Ordinary Least Squares ◽  
High Quality ◽  
Academic Interest ◽  
Entrepreneurial Ventures ◽  
Asset Class ◽  
The Impact ◽  
Moderating Role ◽  
Initial Coin Offerings

AbstractInitial coin offerings (ICOs) have recently emerged as a new financing instrument for entrepreneurial ventures, spurring economic and academic interest. Nevertheless, the impact of exogenous and endogenous signals on the performance of ICOs as well as the effects of the cryptocurrency hype and subsequent downfall of Bitcoin between 2016 and 2019 remain underexplored. We applied ordinary least squares (OLS) regressions based on a dataset containing 1597 ICOs that covers almost 2.5 years. The results show that exogenous and endogenous signals have a significant effect on the funds raised in ICOs. We also find that the Bitcoin price heavily drives the performance of ICOs. However, this hype effect is moderated, as high-quality ICOs are not pegged to these price developments. Revealing the interplay between hypes and signals in the ICO’s asset class should broaden the discussion of this emerging digital phenomenon.

The role of key online reviews in affecting online hotel booking: an empirical investigation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dong Zhang ◽  
Pengkun Wu ◽  
Chong Wu
Keyword(s):  
Binary Logistic Regression ◽  
Online Reviews ◽  
Limited Attention ◽  
Content Type ◽  
Factors Affecting ◽  
Mediating Role ◽  
Antecedents And Consequences ◽  
Hotel Managers ◽  
Hotel Booking

Purpose The importance of online reviews on online hotel booking has been widely acknowledged. However, not all online reviews affect consumers equally. Compared with common online reviews, key online reviews (KORs) have a greater influence on consumers' decisions and online hotel booking. This study takes the first step to investigate the factors affecting the identification of KORs and the role of KORs in online hotel booking.Design/methodology/approach To test the research hypotheses, this study develops a crawler to obtain 551,600 online reviews of 650 hotels in ten representative large cities in China. This study first uses a binary logistic regression to identify KORs by combining review content quality and reviewer characteristics and then uses a log-regression model to investigate the role of KORs in online hotel booking.Findings This study mined the factors affecting the identification of KORs by analyzing review contents and reviewer characteristics. Our results revealed that KORs play a mediating role in the effects of review content and reviewer characteristics on online hotel booking.Originality/value This study focuses on KORs, which have received limited attention in research but are important to practitioners. Specifically, this study investigates the antecedents and consequences of KORs. Our results enable hotel managers to manage online reviews effectively, particularly KORs.

Sign in / Sign up

Export Citation Format

Share Document