The research scenario—to provide the context for the data. Please note that the data are "content-neutral,"
- The research scenario—to provide the context for the data. Please note that the data are "content-neutral," i.e., they do not refer to a specific discipline or field.
- The codebook—this identifies the variables (names, labels, and measurement scale) in the database.
- The assignment instructions—for completing. Be sure to read each question carefully and answer each question completely.
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Research Scenario:
An organization wants to know if participants with varying levels of expertise (professionals, paraprofessionals, and nonprofessionals) improve their knowledge after completing a training program.
The organization collected demographic information: gender, age, type of training (professional, paraprofessional, or nonprofessional), location of the worksite (on-site or off-site) and years of experience.
A pre-training test of knowledge, a training program, and post-training test of knowledge was developed. Participants were tested, then participated in the three-week training program, and then were tested again.
The dataset also includes (1) a measure of participant confidence in knowledge and (2) a certification exam score.
The data are discipline-neutral. Therefore, part of your final project is to create a context for the research that is associated with your discipline or area of interest (e.g., training to assess mental health status; training to work with special education children; training to become a technician or consultant). -
Codebook
Variable InformationVariable Label Measurement Scale Catagory Name ID N/A N/A N/A Gender Gender Nominal 1 = Male
2 = Femaleage Age in Years Ratio qualification Professional Qualification Nominal 1 = Professional
2 = Paraprofessional
3 = Nonprofessionalworksite Location of Work Nominal 1 = On-Site
2 = Off-Siteknowledge1 Level of knowledge before Training Interval N/A knowledge2 Level of knowledge after Training Interval N/A years Years of Experience Ratio N/A confidence Confidence in knowledge Interval N/A exam Certification in knowledge Interval N/A - Instructions
Overview
Your task is to review the dataset, formulate a context, and then use your knowledge of statistics to answer the research questions and test hypotheses that will help the organization evaluate the effectiveness of the program.
Part I. Create your context.
The Keegan’s Engineers in Gaming to further be known as KEG, has developed a new generation of games and equipment. Currently there are many individuals that work for KEG that are more familiar with Atari Pong than their current best seller Nuclear Regurgitation. The company willingly invested in a retraining program but is interested in the results for each group that took the test (professionals, paraprofessionals, and nonprofessionals) and check to see if there was improvement in their knowledge after completing a training program. Keg collected demographic information: gender, age, type of training (professional, paraprofessional, or nonprofessional), location of the worksite (on-site or off-site) and years of experience.
A pre-training test of knowledge, a training program, and post-training test of knowledge was developed. Participants were tested, then participated in the three-week training program, and then were tested again.
The dataset also includes (1) a measure of participant confidence in knowledge and (2) a certification exam score.
Problem statement: workers being out of touch with current trends on technical advancement in gaming
Part II. Describe your sample.
Generate frequency tables and bar charts for the nominal variables. Generate and interpret descriptive statistics of central tendency, variability, skewness, and kurtosis for the continuous (scale) variables. Generate frequency tables and histograms with the normal curve superimposed for each scale variable. Label your tables and graphs according to APA format. Conclude with a paragraph summarizing the demographic characteristics of this sample.
- Gender (nominal)
- Age (scale)
- Qualification (nominal)
- Worksite (nominal)
- Knowledge1 (scale)
- Knowledge2 (scale)
- Years (scale)
- Confidence (scale)
- Exam (scale)
Part III. Describe relationships among the variables.
Select the variables that are measured on interval or ratio scales. Create a correlation matrix. Label the table according to APA format. Identify and discuss the strongest and weakest correlations.
Part IV. Answer any FOUR of the nine following research questions. Clearly identify which question(s) you have selected to answer by writing the number associated with the question (1-9) before each answer. Based on the research scenario and the data, restate the research question, identify the Independent and Dependent Variable(s), formulate the hypothesis, conduct an analysis, and interpret the results for each of the following. Please use the 7 step hypothesis testing model for each analysis, including an APA-style conclusion statement summarizing the findings, interpreting the results and answering the research question. Is there a significant increase in knowledge as a result of the training?
Make sure to select three questions that must be answered by 4 DIFFERENT tests. For example. One t-test, one ANOVA, one regression and one chi-square; NOT a single sample t-test, independent sample t-test and paired sample t-test as these all fall under t-test.
- Do participants of different classifications (professional, paraprofessional, and nonprofessional) perform differently on the certification exam? Which group performs best?
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What are the effects of gender and worksite location (on- or off-site) on level of confidence? In other words:
- Is there a gender difference in confidence?
- Does type of worksite experience affect confidence?
- Is there an interaction between gender and worksite in their effect on confidence?
- After controlling for prior knowledge, is there a difference between professionals, paraprofessionals, and non-professionals in knowledge after the training?
- Does age predict performance on the certification exam?
Deliverable: Word Document
