Common method biases in behavioral research: a critical review of the literature and recommended remedies

Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.     

The problem of measurement model misspecification in behavioral and organizational research and some recommended solutions

The purpose of this study was to review the distinction between formative- and reflective-indicator measurement models, articulate a set of criteria for deciding whether measures are formative or reflective, illustrate some commonly researched constructs that have formative indicators, empirically test the effects of measurement model misspecification using a Monte Carlo simulation, and recommend new scale development procedures for latent constructs with formative indicators. Results of the Monte Carlo simulation indicated that measurement model misspecification can inflate unstandardized structural parameter estimates by as much as 400% or deflate them by as much as 80% and lead to Type I or Type II errors of inference, depending on whether the exogenous or the endogenous latent construct is misspecified. Implications of this research are discussed.     

"In Search of Token Women in Academia": Some Definitions and Clarifications

This article makes an important distinction between two definitions of "token woman." In the first definition, a token woman is one of few women in a predominantly male setting. The second meaning of "Token Woman" identifies that subset of such women who have made the distinctive psychological adaptation described by Laws (1975). The methodological decisions in Young, MacKenzie, and Sherif's (1980) research are justified as based on that definitional distinction. Constantinople's critique is shown to be appropriate as an alternative to Laws' theory, but not as a criticism of our research. Alternative generational explanations for previous findings about Token Women are not supported by existing data.     

In Search of Token Women in Academia

Women faculty in predominantly male departments at a large university were interviewed and responded to paper-and-pencil instruments in a test of Laws' analysis of the necessity for the „token women” adaptation to their marginality for success in academia. By multiple criteria, three clusters were identified: (a) token women, who accepted academia as a meritocracy, were aware of little sex discrimination and belonged to no feminist group; (b) non-token women, who disagreed with academia as a meritocracy and were aware of sex discrimination; and (c) women with mixed or moderate orientations. (Membership in feminist groups was found in the latter two clusters.) Women in the three clusters did not differ significantly by academic rank or marital status and only marginally by age and longevity in academia. As predicted, however, they did differ by tenure status. Contrary to Laws' analysis, token women were not more likely to have had a sponsor, which was significantly related only to rank. Women in the three clusters were equally accurate in recognizing male-female status discrepancies. Their differing definitions of sex discrimination were revealed in differential bias when choosing among alternatives of indeterminate correctness. Token women minimized such discrepancies, in line with beliefs attributing them to women, rather than the system. Others maximized such discrepancies.
The university faculty has traditionally been a man's world, except in those fast-disappearing enclaves considered „women's fields” (e.g., home economics). Today, faculty women are tallied on affirmative action reports in columns for persons with „minority characteristics.”     

Three-dimensional movement trajectories in Fitts' task: Implications for control

According to Fitts (1954), movement time (MT) is a function of the combined effects of movement amplitude and target width (index of difficulty). Aiming movements with the same index of difficulty and MT may have different planning and control processes depending on the specific combination of movement amplitude and target size. Trajectories were evaluated for a broad range of amplitudes and target sizes. A three-dimensional motion recording system (WATSMART) monitored the position of a stylus during aiming movements. MT results replicated Fitts' Law. Analysis of the resultant velocity profiles indicated the following significant effects: As amplitude of movement increased, so did the time to peak resultant velocity; peak resultant velocity increased slightly with target size, and to a greater extent with increases in the amplitude of movement; the time after peak resultant velocity was a function of both amplitude and target size. Resultant velocity profiles were normalized in the time domain to look for scalar relation in the trajectory shape. This revealed that: the resultant velocity profiles were not symmetrical; the proportion of time spent prior to and after peak speed was sensitive to target size only, i.e. as target size decreased, the profiles became more skewed to the right, indicating a longer decelerative phase; for a given target size, a family of curves might be defined and scaled on movement amplitude. These results suggest that a generalized program (base trajectory representation) exists for a given target width and is parameterized or scaled according to the amplitude of movement.