Research data collected from single respondents may raise concerns regarding common method variance (CMV), which is believed to threaten the validity of findings. The primary concern is that CMV can inflate substantive relationships, such that they appear statistically significant when they are not. Thus, understanding the nature of CMV is critical, especially when one considers the popularity—and sometimes necessity—of using self-report data. Research examining CMV has found conflicting evidence about the impact of CMV. Researchers who believe CMV influences findings have proposed solutions to combat any real or perceived potential bias, including changing survey instructions and using marker variables, but few studies have examined the efficacy of these approaches. The purpose of this study is to examine the impact of these techniques and the nature of CMV using an experimental design. To conduct the experiment, multiple versions of a survey, which vary in their use of the remedial approaches, are utilized to collect data, which resulted in 1,069 usable responses. The experimental design was based on the faking literature and included instructions intended to induce or reduce the levels of CMV. Further, two different marker variables are used to determine the degree to which they create a psychological separation in substantive variables. Correlation analysis and measurement invariance are used to analyze the data. This study posits that, if CMV is a substantial concern for self-report data and these approaches are effective, then findings will differ in surveys that incorporate such approaches from surveys that do not. Results indicate few differences in experimental conditions, meaning that regardless of instructions or marker variable, substantive item correlations remained statistically similar. The results indicate this is likely due to the minimal impact of CMV, given that the proposed methods of correction did not significantly influence research findings. These findings have implications for researchers in that they do not support that CMV, or at least its proposed remedies, significantly alter findings. However, support for the null conclusions, in spite of appropriate statistical power, warrant future research examining the nature and impact of CMV.
PurposeThis paper aims to examine work values among job seekers and how these values differ across experience and gender.Design/methodology/approachThis study asked participants to rate the importance of various intrinsic and extrinsic work values on a five-point Likert scale. Responses were compared for 865 participants.FindingsThis study found that individuals differed in their ratings of work values based on experience. Individuals with more experience assigned greater importance to intrinsic job characteristics, while those with less experience assigned greater importance to extrinsic job characteristics. Findings further reveal differences in gender ratings of work values, with females assigning greater importance ratings to both intrinsic and extrinsic job characteristics as compared to males.Research limitations/implicationsLimitations of this study include that it drew its data exclusively from a sample of US respondents. Research investigating populations from other geographic regions within the same study may uncover important cross-national similarities/differences. Moreover, although this study examined experience and gender, it excluded other potentially important factors such as ethnicity. Future research should explore international samples and broaden its focus to include additional factors.Practical implicationsOrganizations should be aware of how experience and gender shape work values to impact job choice and retention. They may wish to target their recruitment efforts toward certain groups to ensure alignment between candidates' work values and those of available positions.Originality/valueThis study improves on prior research by examining the dual impact of experience and gender in shaping work values.
It is no surprise that the amount of credit card debt and outstanding loan balances of college students is increasing every year. College students are heavily targeted by credit companies through the use of e-mail, campus booths, and standard mail. The reason for these solicitations is because of the soaring expense levels of college students and the potential that such a large group has to add profits to the issuing firm. Marketers are interested in credit card usage of students to determine the best methods for gaining market share in this emergent market. Credit card and loan usage patterns of college students are investigated.
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