Project Template Study Purpose In this section, you should identify the research question and the hypotheses
Project Template
Study Purpose
In this section, you should identify the research question and the hypotheses that are the focus of this study. Be sure to be straightforward and clear in your presentation of these items. No additional information/introduction is necessary.
Summary of Data
In this section, you must provide a narrative description of the data that corresponds to a table that summarizes the descriptive statistics for all variables (see Table 1).
Table 1: Descriptive Statistics for Study Variables
Characteristic | n | Mean | Standard Deviation |
Independent Variables | |||
Gender | |||
INSERT additional variables | |||
Dependent Variables | |||
INSERT additional variables |
NOTE: Round to two decimal points for this table as well as all others.
Additionally, you must provide a narrative description of the scales you created (i.e., Scale one was created from the following items: …) and the reliability (i.e., Cronbach’s Alpha) for each of the scales you created (see Table 2).
Table 2 : Summary of Scale Reliability
Scale | Cronbach’s Alpha |
Perceived Neighborhood Safety | |
Access to Services | |
Strength of Community Institutions | |
Problems Facing the Community | |
Effectiveness of Response |
Finally, you must present a correlation coefficient matrix for all interval variables (see Table 3).
Table 3: Summary of Bivariate Relationships between Study Variables
Variable (Var) Name | Var Name | Var Name | Var Name | |
Var Name | 1.00 | |||
Var Name | Corr. Coef. | 1.00 | ||
Var Name | 1.00 | |||
Var Name | 1.00 |
*Indicate significance with an asterisk: p<.05.
Research Questions
The research questions vary based on the dataset to which you are assigned. For all questions , you must (1) identify which test statistic is most appropriate; (2) present the results of this analysis in a table; and (3) interpret the results for each question. You may use the questions as subheadings within this section. Reference attached tables for examples.
Research Questions for Community 1 :
- Do perceptions of the community differ across race?
- Do perceptions of the community differ across age?
- Do perceptions of the community differ across race and age ?
-
Is race related to perceived neighborhood safety controlling for all other factors?
Research Questions for Community 2 : - Do perceptions of the community differ across gender?
- Do perceptions of the community differ across age?
- Do perceptions of the community differ across gender and age ?
- Is gender related to perceived neighborhood safety controlling for all other factors?
Discussion
In this section, you must summarize the results of the analyses you performed and develop conclusions about what the data tell us (i.e., what do these results mean in application to the real world, what are their implications, and what additional research should be completed).
Table #: T-Test Results for Hypothesis #
N | Mean | SD | T-Value | Effect Size | |
Gender | |||||
Male | |||||
Female |
* p< .05 (In the table, indicate whether a t-value is significant by placing an * next to the value. You do not need to list the actual significance levels.)
INSERT narrative to explain results contained in the tables and to address whether you supported or refuted Hypothesis 3.
Table #: ANOVA Results for Hypothesis #
N | Mean | SD | F-Value | |
INSERT Categories/Groups of Variable Compared | ||||
INSERT Categories/Groups of Variable Compared | ||||
INSERT Categories/Groups of Variable Compared | ||||
INSERT Categories/Groups of Variable Compared |
* p< .05 (In the table, indicate whether the F-value is significant by placing an * next to the value. You do not need to list the actual significance levels.)
Table # : Bonerroni Test Comparisons —Significant Findings at p<.05 Only
Primary
Group |
Comparison Group | Mean Difference |
Table #: Factorial Analysis of Variance Results for Hypothesis #
F-Value | |
Main Effect #1 | |
Main Effect #2 | |
Main Effect #3 |
* p< .05 (In the table, indicate whether the F-value is significant by placing an * next to the value. You do not need to list the actual significance levels.)
NOTE: Insert a plot of the interaction from SPSS into your project.
Table #: Results for OLS Regression
Variable | B | Standard Error | Beta |
Variable Name | |||
Variable Name | |||
Variable Name | |||
Variable Name | |||
Variable Name |
* p< .05 (In the table, indicate whether a t-value is significant by placing an * next to the B . You do not need to list the actual significance levels.)
NOTE: Do not forget to present the R 2 in the narrative description of the results.
Deliverable: Word Document
![](/images/msword.png)