Multiple Group Comparison with Panel Data

2002 ◽  
pp. 177-199
Author(s):  
Thomas T. H. Wan
Keyword(s):  
Panel Data ◽  
Group Comparison ◽  
Multiple Group

Deceptive Affection Across Relational Contexts: A Group Comparison of Romantic Relationships, Cross-Sex Friendships, and Friends With Benefits Relationships

2019 ◽  
Vol 47 (4) ◽  
pp. 623-643
Author(s):  
Sara L. Trask ◽  
Haley Kranstuber Horstman ◽  
Colin Hesse
Keyword(s):  
Structural Equation Modeling ◽  
Romantic Relationships ◽  
Structural Equation ◽  
Exchange Theory ◽  
Equation Modeling ◽  
Group Comparison ◽  
Relational Health ◽  
Friends With Benefits ◽  
Multiple Group ◽  
Relational Contexts

Communicating affection is important for developing and maintaining relationships; yet, it can be risky when it is used deceptively. Grounded in affection exchange theory (AET), the purpose of the present study is to test how types of deceptive affection—or incongruity between affection felt and expressed—predicts relational health differently across three relational contexts: romantic relationships (RRs), cross-sex friendships (CSFs), and friends with benefits relationships (FWBRs). Multiple group analyses using structural equation modeling ( n = 526 college students) revealed varying relational types provide both intensified and withheld affection, with FWBRs experiencing both types of deceptive affection the most. Furthermore, intensified affection is positively related to relational health outcomes in RRs, and withheld affection negatively predicts relational health in FWBRs. Findings suggest that differences exist between relational types and both types of deceptive affection and relational health. Theoretical implications for expanding AET Postulates 3 and 5 are discussed.

Explaining the Relation Between Job Insecurity and Employee Outcomes During Organizational Change: A Multiple Group Comparison

2015 ◽  
Vol 55 (5) ◽  
pp. 809-827 ◽  
Author(s):  
Désirée Schumacher ◽  
Bert Schreurs ◽  
Hetty Van Emmerik ◽  
Hans De Witte
Keyword(s):  
Organizational Change ◽  
Job Insecurity ◽  
Group Comparison ◽  
Employee Outcomes ◽  
Multiple Group

scholarly journals Misuse of Statistical Methods in 10 Leading Chinese Medical Journals in 1998 and 2008

2011 ◽  
Vol 11 ◽  
pp. 2106-2114 ◽  
Author(s):  
Shunquan Wu ◽  
Zhichao Jin ◽  
Xin Wei ◽  
Qingbin Gao ◽  
Jian Lu ◽  
...  
Keyword(s):  
Statistical Methods ◽  
Case Series ◽  
Group Comparison ◽  
Medical Journals ◽  
Common Error ◽  
Multiple Group ◽  
Case Series Study ◽  
Significant Difference ◽  
Pair Wise Comparison ◽  
Made In

Statistical methods are vital to biomedical research. Our aim was to find out whether progress has been made in the last decade in the use of statistical methods in Chinese medical research. We reviewed 10 leading Chinese medical journals published in 1998 and in 2008. Regarding statistical methods, using a multiplet-test for multiple group comparison was the most common error in thet-test in both years, which significantly decreased in 2008. In contingency tables, no significant level adjustment for multiple comparison significantly decreased in 2008. In ANOVA, over a quarter of articles misused the method of multiple pair-wise comparison in both years, and no significant difference was seen between the two years. In the rank transformation nonparametric test, the error of using multiple pair-wise comparison for multiple group comparison became less common. Many mistakes were found in the randomised controlled trial (56.3% in 1998; 67.9% in 2008), non- randomised clinical trial (57.3%; 58.6%), basic science study (72.9%; 65.5%), case study or case series study (48.4%; 47.2%), and cross-sectional study (57.1%; 44.2%). Progress has been made in the use of statistical methods in Chinese medical journals, but much is yet to be done.

scholarly journals Social anxiety moderates the links between excessive chatting and compulsive Internet use

2016 ◽  
Vol 10 (3) ◽  
Author(s):  
Nejra Van Zalk
Keyword(s):  
Longitudinal Study ◽  
Social Anxiety ◽  
Internet Use ◽  
Early Adolescents ◽  
Group Comparison ◽  
Protective Effects ◽  
Moderating Effects ◽  
Socially Anxious ◽  
Multiple Group ◽  
Over Time

Excessive online chatting can lead to unwanted consequences such as compulsive Internet use over time. Not all adolescents use chatting for the same purpose, however, and these links may not be as pronounced for socially anxious adolescents as they likely communicate with others online in order to compensate for offline social inadequacies. The current study investigated whether social anxiety moderated the links between excessive chatting and compulsive Internet use over time. Using a sample of 523 early adolescents (269 girls; Mage = 14.00) from a 3-wave longitudinal study, the links between excessive chatting and compulsive Internet use were investigated via manifest autoregressive models, and moderating effects of social anxiety were tested via multiple-group comparison procedures. The results showed bidirectional links between excessive chatting and compulsive Internet use from Time 2–Time 3, as excessive chatting predicted more symptoms of compulsive Internet use, whereas compulsive Internet use predicted more excessive chatting – over and above the effects of gender. These links were present for adolescents low on social anxiety, but they were largely missing for highly socially anxious adolescents. Thus, social anxiety may have protective effects for early adolescents who spend too much time chatting online, as it may help reduce the risk of developing symptoms of compulsive Internet use.

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