A church is operating a large substance abuse recovery program, and wants to know how they can be more effective in their work. Therefore, they hire a researcher to help them assess their effectiveness, and offer suggestions for improvements. Specifically, they want to know if different types of recovery training classes (traditional 12 step, Celebrate Recovery 12 step, uniquely designed nouthetic approach) have a different effect on a person’s consumption of the substance. A pilot study was conducted using an ANOVA, with the three different teaching programs measured against the number of relapses in a six-month period. However, they wonder if a person’s existing Bible knowledge may affect the scores. Therefore, the researcher decides to further study the teaching methods while considering the participants’ biblical knowledge. The biblical knowledge is assessed by giving a general biblical knowledge test which is scored by percent of answers correct (0 to 100). Participants (N=99) are randomly assigned equally to one of the three teaching groups.  Their biblical knowledge and number of relapses are scored to determine if there is covariance among these.  Design this research based on the information given using an ANCOVA statistic.

SPSS Output: Assignment Instructions

The assignments will help you practice applying the various statistical analyses taught in this course, as well as better understand the process of answering the “how” question in research. There are many different research methods and statistical analyses available to address specific hypotheses, though the selected measure should be driven by the research question, and more specifically the IV and DV (or multiple variables).  It is important to be familiar with the many ways a question can be answered, or hypotheses tested. Perhaps the best way to do that is to practice using a variety of variables and research designs. In your own project, you will determine the most appropriate analysis to answer your question and address your hypotheses and variables.  For the SPSS output assignments, you will need to think somewhat in reverse regarding this process because you will be given a broad research question and topic, but you will be responsible for designing it in a way that fits the assigned analysis. While this is not typically how you would design your own research, it is helpful to think this way to better understand what is typically tested and measured with a given statistical analysis type.

For the assignment, you will have to determine the specific hypothesis and variables to address the topic that is above which would appropriately be measured by the assigned statistical analysis. You will create a SPSS data file using fictitious data, and present the results and interpretation for each of these assignments. Your submission will include the SPSS output, APA formatted charts and graphs related to the output, and a brief narrative interpreting the results of your analysis. You can create fictitious data sets for this assignment, or use a randomizer available on the Internet to select your data for you. 

Consider the assumptions to be met when creating or adjusting your dataset.  Because this is fictitious data, you must clearly identify that to your reader. In your results and interpretation, be sure to identify the parameters you are using applicable to your analyses (e.g. “a=.05”). Though you are free to review journal articles on the assigned topic for ideas and examples, your data set and output must be original, using your fictitious generated dataset.  You must also create a new dataset for each of these assignments.

Each SPSS assignment must include the following:

  • A section identifying the topic, research questions, hypotheses, and variables (operationally defined) you are researching (use complete sentences in narrative form)
  • Your mock/fictitious data set (This can be presented as a pasted spreadsheet or chart, but must be clear and legible.)
  • Your results and SPSS output presented with APA formatted charts and graphs as appropriate (Avoid unnecessary charts and graphs that only add length and “fluff” to your paper. This should be similar to a Results section commonly found in original research journal articles.). This section should also include a discussion regarding the assumptions met (or not) for your analysis. 
  • Discussion/interpretation – Briefly but thoroughly tell your reader what the output of your SPSS calculations mean as they relate to your hypotheses and variables. Indicate whether or not the findings were significant, and/or whether or not the null/alternative hypotheses were found to be true. The specific information included in this section will vary depending on your project and the analyses being used.