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A problem with any type of data collection is that bias may enter from the way an instrument is constructed, the researcher's values or interpretation, or even in the selection of respondents. Consider and explain how you might identify biases that could be present. While it's easier to identify the biases of others, consider what biases might creep into your own interpretation of the data, for example if you had to interview, as part of your research, the following populations: men in an alcohol detox program, women in a shelter for domestic violence, men in a treatment program for anger management, and women in prison without the possibility of parole. Use content from chapter 4 in the text to support this assignment.
A charter school, serving mainly low-income, minority students, worked to improve math, reading and science scores for its students, conducted randomized controlled trial, to determine the level of scores in math, reading and science from it students. The school provides after school tutoring and Saturday classes to equalize the math, reading and science education of its students. The school spends $20,000 per student each year compared to the average of $16,000 per student in similar schools.
A limitation of this study is that it was conducted in one school as a pilot program. Replication of these findings in a second study, conducted in another setting, would be desirable to confirm that the intervention is effective in various settings where it might normally be implemented.
You are asked to analyze the data and determine if the scores between math, reading and science are consistent with the objective of the program and serve the students needs. Using PSPP and the hsb2.sav database, analyze the data using descriptive output. Using the Analyze > Descriptive Statistics > Frequencies menu, calculate the mean, standard deviation, minimum and maximum scores for each of the three scores. Construct Histograms for each score and ensure the chart superimposes the normal curve line. Chapter 5 in the PSPP guide will help you.
In your paper, follow the guidelines found in Chapter 14 of the Program Evaluation Text. Provide an introduction, at least one article review, process for data analysis (methodology), results (show your histograms and build a table to provide the mean, standard deviation, minimum and maximum scores).
Discuss your findings and reach a conclusion if the study should be continued, conduct a second study or discontinue the use of funds for this program.
Your paper should be about three pages including the histograms and data table. Use APA to properly cite and reference your source.
A problem with any type of data collection is that bias may enter from the way an instrument is constructed, the researcher's values or interpretation, or even in the selection of respondents. Consider and explain how you might identify biases that could be present.