· Integrating Elements of Engagement · Students will develop a three to four (3-4) page proposal for integrating the elements of engagement into the implementation process. It will include the following: 1. Explain what you will do during the implementation event to tilt the balance away from the presentation toward participation. 2. Include a synopsis of how people might react to the idea that change is imminent and that they will be involved in the change process. 3. Explain what you will do to help people get unstuck from the same old conversations and begin new ones. 4. Explain how you will bring the element of place into your design for each event. · The requirements and format of the paper is to be as follows: · Include two references Typed, double spaced, Times New Roman font (size 12), APA format Political Science Find the definitions ; Terms data bivariate Quantitative data multivariate Qualitative data controlling experiential reality case studies agreement reality experiments Causal inquiry Variables concept attributes antecedent variable Research Method causal hypothesis Types of methods research hypothesis inductive survey/poll, experiments, correlative hypothesis participant observation, dependent variable historical comparison, independent variable document and content analysis hypothesis (H ) (Y =X) public records examination. inferential statistics inverse relationship populations direct relationship Descriptive statistics null hypothesis (H ) Spurious relationships units of analysis Correlation direction of association deduction necessary/sufficient causes induction generalization empirical purposive sampling closed/open end questions non-normative knowledge normative knowledge prediction probabilistic explanation transmissible knowledge experiment validity/reliability levels of measurement interval measurement nominal measurement Likert scale operational definition ordinal measurement ratio measurement frequency distribution correlational external validity internal validity cluster sample confidence level margin of error population parameter sample non-probability sample case study probability sample quota sample random numbers table random sampling(simple) sample bias sample statistic sampling error sampling in.