By Ronald E. Riggio
Demonstrates the relationship among mental idea and alertness within the box of business / Organizational Psychology. advent to business / Organizational Psychology is a student-centered, real-world pushed application designed and written with the scholar in brain, giving examples and illustrations proper to their international of labor. The 6th version remains to be obtainable to scholars whereas keeping a accomplished insurance of the classical and new topics.With extra student-oriented gains, teachers will locate this the main completely referenced I/O psychology and pupil available textual content at the market.
Upon finishing this booklet, readers could be capable of:
* attach mental thought within the box of industrial/organizational psychology and follow the ideas to their daily global of work
* Be acquainted with "classic" theories and learn besides the newest advancements and strategies within the field
* comprehend the assessment of the realm of labor.
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Extra info for Introduction to Industrial and Organizational Psychology, 6th Edition
Results of one study may stimulate subsequent research in the same area. Scientific research builds on the results of previous studies, adding and refining, to increase our knowledge of the behavior in question. QUASI-EXPERIMENTS In many cases, a researcher does not have the control over the situation needed to run a true experiment. As a result, a quasi-experiment is used, which is a design that follows the experimental method but lacks features such as random assignment of participants to groups and manipulation of the independent variable.
Some statistical analyses are very simple and are used to help describe and classify the data. Other statistical techniques are quite complex and help the researcher make detailed inferences. For example, some statistics allow the researcher to determine the causes of certain observed outcomes. A brief discussion of certain statistical analysis techniques is presented in the Appendix at the end of this chapter. Interpretation of research results The final step in the research process is interpretation of the results.
For example, assume that 40% of the individuals in our total worker population are female and 60% are male, while 25% are management and 75% are nonmanagement. We would want to choose a sample that represented these percentages. Forty percent of the individuals in our selected sample should be female, and 25% should be management personnel. We may also want to ensure that the percentages of male and female managers and nonmanagers in our sample are representative of the larger population. Both of these sampling techniques help ensure that the sample is representative of the population from which it is drawn.