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Methods of data reduction have been incorporated in order to develop a psychometrically strong tool. Indexes to validate the results are included in the process as well. As a part of the BAS, scales are used to measure the various areas of acculturation rather than examining items based on the cultural dimension. The working of the scale requires using a wide range of behaviors to be used in the study and generating items in order to display the Hispanic and non-Hispanic domain under consideration. A study conducted in San Francisco, California, using this approach presented different results. Multiple subscales were used along with the regular scales. Alpha coefficients were calculated for the different subscale. All of them were pretty consistent. Validation was performed by measuring them against standards established by researchers in the past, who worked on other acculturation scales. This form of validation utilizes factors such as current status, length or duration, age of the individual and relation with previous acculturation measures. (Marin and Gamba, 1996)
References
Marshall,...
And Perreault, W.(1991,August) Collinearity, Power and Interpretation of Multiple Regression Analysis Journal of Marketing Research 28, 268-280
Anderson, D.(2001) In My Opinion: The need to get the basics right in wildlife field studies Wildlife Soceity Bulletin 29(4), 1294-1297
Mathison, Sandra.(1988, March) Why triangulate ? Educational Researcher 17(2). 12-17
O'Leary-Kelly, S.(1998) The empirical assessment of construct validity Journal of operations management 16, 287-405
Marin, G. And Gamba, R.(1996) A new measurement of Acculturation for Hispanics: The Bidimensional Accultural Scale for Hispanics (BAS) Historical Journal of behavioral sciences 18, 297
Green, S.(1991) How many subjects does it take to do a regression analysis ? Multivariate Behavioral Research 26(3), 499-510
Jick, T (1979,December) Mixing Qualitative and Quantitative methods: Triangulation in action Administrative science quarterly 24(4), 602-611
References
Marshall, M.(1996) Sampling for quantitative research Family Practice 13(6), 522-525
Mason, C. And Perreault, W.(1991,August) Collinearity, Power and Interpretation of Multiple Regression Analysis Journal of Marketing Research 28, 268-280
Anderson, D.(2001) In My Opinion: The need to get the basics right in wildlife field studies Wildlife Soceity Bulletin 29(4), 1294-1297
Mathison, Sandra.(1988, March) Why triangulate ? Educational Researcher 17(2). 12-17
In this study, these variables are considered protective factors. In the third step, childhood SES would be entered. On the fourth step, childhood maltreatment would be entered. The results of the analysis would determine to what extent each of these additional steps adds to the ability to explain the variance in resilience scores. While all of these variables may ultimately be correlated with resilience, either positively or negatively, not
Multiple Regression It is hypothesized that self-efficacy, appraisal, challenge and resources will negatively predict perceived stress whilst avoidant strategies will increase levels of perceived stress. Sample Description The sample consisted of 100 participants, 27 males and 73 females. Forty percent of the participants were not students, 30 were studying as part time students and 29% were studying as full time students. Fifty-five percent of the sample was employed full time, 25% were employed
Its name tells us the criterion used to select the best fitting line, namely that the sum of the squares of the residuals should be least. In other words, the least squares regression equation is the line for which the sum of squared residuals is a minimum (Dallal, 2008). Multiple regression - the general purpose of multiple is to learn more about the relationship between several independent variables and a
It has even moved into the legal and political realms, which focus on its ability to forecast information based on similar or manipulated environmental conditions (Sykes, 2012). It is often used in quantitative research methodologies, but also conserve as a way to test for reliability in mixed methods and qualitative studies using triangulation, or more than one method to prove the same results hold true (Dizikes, 2010). In this,
Table 3: Predicting Elasticities of Variables From the analysis completed in Table 3, the elasticity of each variable can be easily seen. As one would expect, the greater the variability in a given variable the higher the elasticity, especially when the variables either measure purchasing power as pi does directly or how the variables stock, and index of consumer sentiment also are shown as a result of their large variances. Taking
Communicating the Results of a Multiple Regression Analysis Business Theory: "Communicating the Results of a Multiple Regression Analysis" This report has the stated objective of examining the communication of the results of a multiple regression analysis and as such, a multiple regression analysis is described both in theory and in form demonstrating the progression of such an analysis. The multiple regression in this study examines bivariate factors in predicting the success of