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Question
Some notes:
HYPOTHSIS NEEDS TO BE LOOKED AT AND UPDATED. COULD YOU PLEASE SEND ME UPDATED HYPOTHESIS AND I WILL GET IT CHECKED BY TUTORS. NOTE ASSIGNMENT 1 IS NO LONGER WILL BE MARKED OR LOOKED AT. IT JUST THAT WE HAVE TO UPDATE HYPOTHESIS TO PERFORM TEST. REFER 2. INTRODUCTION ABOVE.
KMO .80 and above d (description to be included)
Bartletts test (Description to be included & to be significant)
All references from assignment 1
Justify every decision. Tell reader what analysis is used. JUSTIFY which extraction was done. MLE to be used.
Rotation based on theory- which rotation is used base on theory. OBLIQUE – correlated
Factor loading cut-off should be used. Provide reference. No cross loading items. Indicate/outline why each item was removed. Factor Matric cut off .3
Communalities ideally avoid. USE .2, .4 etc. JUSTIFY AND CITE
Goodness of fit – do factors make sense. Residual ideally less than .05
Transform and compute function.
Assignment 1 despite asking to include 4 factors it wasn’t done. (I have included Assignment 1 handout as well)
Check Reliability – Analyse etc
Check total correlation. Check less than .4 needs to be removed or talked about it.
Check validity.
Explain in discussion why u didn’t get simple structure.
Rubic, scale validation table guide included and HD example.
Subject | Report Writing | Pages | 8 | Style | APA |
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Answer
Factors Underlying Modern Racism
Introduction
One discriminant hypoyhesis
One convergent hypothesis
Present two additional hypotheses of your choosing about the new scale or its subscales in relation to validity
Work ethic and responsibility for outcomes – the sense that blacks failure to progress results from their unwillingness to work hard enough
Excessive demands – the sense that blacks are demanding too much
Denial of continuing racial discrimination – the belief that blacks no longer face much prejudice in society today
Undeserved advantage – the sense that blacks have gotten more than they deserve3
{Insert}
METHOD
Describe the sample and measures used in the validation strategy
Sample Description
The sample in the present study comprised of 237 students from an Australian University. Their age ranged between 18 and 67 with a mean age of 31.97 (11.10). Of the 230 who reported their gender, 23% were male. The majority were white Australians (78%). The remaining 22 % were White European, Mediterranean European, East/South East Asian, South Asian, Middle Eastern, Mixed race, Indigenous Australian, African and Latino. Nine respondents did not report their ethnicity.
Measures
As described in the introduction, the analysis involved four constructs/latent variables namely a) Work ethic and responsibility for outcomes which was described as the sense that blacks failure to progress results from their unwillingness to work hard enough, b) Excessive demands which is the sense that blacks are demanding too much, c) Denial of continuing racial discrimination which means the belief that blacks no longer face much prejudice in society today and d) Undeserved advantage which is the sense that blacks have gotten more than they deserve. Four scales were developed consisting of 37 items/manifest variables (see Appendix A)
Procedure
An online survey was completed by undergraduate students at an Australian University at a time and place of their choosing
PCA results
In order for PCA to produce reliable results, a large enough sample is required. In the present analysis, the Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy for the whole data set was applied and a KMO value of 0.969 was obtained. A value of 0.8 and above is considered adequate.
A second assumption for PCA to be reliable is that the data should be suitable for reduction which means that there needs to be adequate correlations between the variables so that they can be reduced to a smaller number of variables. To check for this assumption, Bartlett’s test of sphericity was used. The p value obtained was less than 0.001 (p = 0.000), leading to a rejecting of the null hypothesis that the observed correlation matrix does not vary from the orthogonal matrix. The data is thus suitable for reduction.
Because PCA is based on Pearson Coefficients, which means that there needs to be a linear relationship between variables. A test of linear correlations between variables shows that most correlations are above 0.3, indicating that PCA can be applied on the data.
Extraction
The extraction method used was maximum likelihood extraction. The reason for selecting this method is that the data is approximately normally distributed and this extraction method allows for a wide range of indexes of the goodness of fit of the model to be computed. It also permits statistical significance testing of factor loadings and correlations among factors and the computation of confidence interval (An Gie, & Sean, 2013).
Rotation
The rotation used was promax. This oblique rotation was chosen because the assumption is that the population factors extracted will be correlated. The component correlation matrix reveals high correlations. Promax rotation was also applicable because the data set is large (237) (Avila et al, 2016). The factor loading cut-off kappa of 4 was used, which is the power to which loadings are raised that closest result in a simple structure. A simple structure results when each variable has a substantial loading on few factors (cite).
Table 1
Structure Matrix |
|
|||||
|
Factor |
|||||
|
1 |
2 |
3 |
4 |
||
Indigenous Australians are willing to work as hard as other Australians |
.872 |
.696 |
.609 |
.619 |
||
Indigenous Australians on average work just as hard as other Australians |
.845 |
.636 |
.529 |
.630 |
||
Indigenous Australians lack initiative |
.838 |
.693 |
.581 |
.590 |
||
Indigenous Australians do not work as hard as other Australians |
.814 |
.636 |
.531 |
.545 |
||
No matter what assistance Indigenous Australians are given by others, they will continue to ask for more. |
.795 |
.790 |
.604 |
.660 |
||
If, on average, people of various cultural backgrounds have been able to succeed more in Australian society than Indigenous Australians, it must mean that Indigenous Australians have a poor work ethic |
.768 |
.698 |
.704 |
.653 |
||
Indigenous Australians demand more than they rightfully deserve |
.764 |
.756 |
.669 |
.689 |
||
Indigenous Australians are unreliable |
.762 |
.678 |
.530 |
.632 |
||
Indigenous Australians receive more than their fair share of welfare support |
.726 |
.920 |
.657 |
.670 |
||
It is unfair that Indigenous Australians are given more financial assistance than other Australians |
.687 |
.868 |
.634 |
.678 |
||
Too many Indigenous Australians receive advantages based on their racial background rather than their merit |
.805 |
.868 |
.663 |
.700 |
||
The Australian government provides Indigenous Australians with too much financial assistance. |
.741 |
.861 |
.698 |
.687 |
||
Indigenous Australians should stop asking for more than they already have |
.842 |
.859 |
.754 |
.796 |
||
Indigenous Australians expect too much support from the government |
.790 |
.856 |
.692 |
.690 |
||
More financial aid should be available to indigenous Australians |
.680 |
.802 |
.584 |
.727 |
||
Indigenous Australians receive too many advantages. |
.730 |
.764 |
.621 |
.625 |
||
Indigenous Australians rightfully require more taxpayer support than other Australians |
.603 |
.733 |
.504 |
.631 |
||
If they were motivated enough, Indigenous Australians could find suitable employment |
.640 |
.646 |
.594 |
.515 |
||
Indigenous Australians need to demand more from society in order to eliminate the discrimination they experience |
.530 |
.579 |
.409 |
.574 |
||
Indigenous Australians are no longer being discriminated against |
.525 |
.525 |
.856 |
.610 |
||
Discrimination towards Indigenous Australians no longer exists |
.489 |
.524 |
.829 |
.503 |
||
There is no form of discrimination which makes it more difficult for Indigenous Australians to be successful in comparison to other Australians |
.557 |
.597 |
.736 |
.550 |
||
Indigenous Australians might have been treated poorly years ago, but not anymore |
.608 |
.622 |
.721 |
.651 |
||
Racism towards Indigenous Australians is a major problem in Australian society |
.523 |
.562 |
.692 |
.562 |
||
The Australian Government shows more respect to Indigenous Australians than they deserve |
.668 |
.603 |
.684 |
.684 |
||
Indigenous Australians are treated fairly in today’s society |
.499 |
.515 |
.654 |
.480 |
||
This generation of Indigenous Australians should not expect special treatment. They have already been given enough. |
.727 |
.782 |
.736 |
.816 |
||
It is only fair that Indigenous Australians are given extra help to make up for previous generations of discrimination |
.618 |
.717 |
.600 |
.779 |
||
Meeting the demands of indigenous Australians so they can maintain their heritage and culture is necessary |
.596 |
.620 |
.657 |
.771 |
||
Indigenous Australians can only blame themselves for their outcomes in life |
.630 |
.656 |
.709 |
.736 |
||
The lower socioeconomic position of many Indigenous Australians compared to other Australians is largely due to the social conditions they face |
.517 |
.585 |
.497 |
.643 |
||
Indigenous Australians should move on from past traditions and integrate into current Australian society. |
.526 |
.557 |
.521 |
.643 |
||
Indigenous Australians are entitled to extra support to access higher education |
.495 |
.592 |
.485 |
.628 |
||
Indigenous Australians are justified in wanting equal rights |
.481 |
.404 |
.532 |
.585 |
||
The demand from some Indigenous Australians to move the date of Australia Day is completely reasonable |
.293 |
.312 |
.265 |
.440 |
||
Extraction Method: Maximum Likelihood. Rotation Method: Promax with Kaiser Normalization. |
|
|
References
An Gie, Y., & Sean, P. (2013). A Beginners Guide to Factor Analysis: Focusing on Exploratory Factor Analysis. Tutorials In Quantitative Methods For Psychology, Vol 09, Iss 2, Pp 79-94 (2013), (2), 79. Avila, A., Distelberg, B., Estrada, A., Samman, S., Borieux, M., Yektafar, G., & Moline, M. (2016). Developing Dyadic Evaluation for Supervision: An Exploratory Factor Analysis. Contemporary Family Therapy: An International Journal, 38(3), 284-294. doi:10.1007/s10591-016-9388-4 Tyastuti, D., Onishi, H., Ekayanti, F., & Kitamura, K. (2014). Psychometric item analysis and validation of the Indonesian version of the Readiness for Interprofessional Learning Scale (RIPLS). Journal Of Interprofessional Care, 28(5), 426-432. doi:10.3109/13561820.2014.907778
Appendix A QUESTIONNAIRES The following questionnaires were included to collect data on the new scale, and for the purposes of assessing validity of the new scale: Note: * indicates a reverse-scored item. In SPSS these items are designated by R at the end of the name.
New scale to assess modern/symbolic racism Work ethic and responsibility for outcomes
Excessive demands
Denial of continuing discrimination
Undeserved advantage
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