My topic is: Reward as a way of motivating workers in a workplace
Following the APA format and the Final Project Template, prepare the “Method Section” that describes the methodology used to test your hypotheses. This should include (a) participants, (b) procedures, (c) measures and/or instruments, and (d) data analysis plan.
Support your assignment with specific references to all resources used in its preparation. You are to provide a reference list for all resources, including those in the Learning Resources for this course.
Week 8: Method Section (6–8 pages)
For Week 8, you write the “Method Section” of your Final Project. Consider research methodologies and designs appropriate to solve your research problem. Then decide which research paradigm, i.e., qualitative, quantitative, or mixed methodology, you plan to use in your study. In addition, describe your strategies for data collection and analysis. Below are key areas you need to address to complete the Methods Section.
Participants (1–2 pages)
Define the population.
- State criteria for selecting participants.
- State population size (if known) or approximate/estimated size.
- Sample and Sampling Procedures
- Identify and justify the type of sampling strategy.
- Explain specific procedures for how the sample will be drawn.
- Sampling frame (Inclusion and exclusion criteria)
- Use a power analysis to determine sample size and include:
- Justification for the effect size, alpha level, and power level chosen
- Citation of the source of calculation or the tool used to calculate sample size
Procedures (1–2 pages)
- Procedures For Recruitment, Participation, and Data Collection (students collecting their own data)
- Thoroughly describe recruiting procedures and particular demographic information that will be collected.
- Describe how participants will be provided informed consent.
- Describe how data are collected.
- Explain how participants exit the study (for example, debriefing procedures, etc.).
- Describe any follow-up procedures (such as requirements to return for follow-up interviews, treatments, etc.).
- Procedures For Recruitment, Participation, and Data Collection (students using archival data)
- Include all procedures for recruitment, participation, and/or data collection associated with the main study.
- Describe the bounds of the data to be extracted (e.g., records from 2005-2008).
- Describe the procedure for gaining access to the data.
- Describe necessary permissions to gain access to the data (with permission letters located in the IRB application).
Measures/Instrumentation (2–3 pages)
- Instrumentation and Operationalization of Constructs
- Identify each data collection instrument and source (published or researcher produced)
- For published instruments provide:
- Name of developer(s)
- Appropriateness to the current study
- Mention of permission from developer to use which permission letter included in the appendix
- Published reliability and validity values relevant to their use in the study
- Where/with what populations used previously and how validity/reliability are/were established in the study sample
- For researcher-developed instruments provide:
- Basis for development
- Literature sources
- Other bases (such as pilot study)
- Evidence of reliability (internal consistency, test-retest, etc.)
- Evidence of construct validity
- Establish sufficiency of instrumentation to answer research questions
- For studies involving an intervention or the manipulation of the IV:
- Identify materials/programs applied as treatment or manipulation.
- Provide information on the developer of the materials/programs/manipulations.
- If published, state where, how, and with what populations used previously
- If researcher developed, state basis for development and how developed.
- Provide evidence that another agency will sponsor intervention studies (such as clinical interventions).
- Operationalization: For each variable describe:
- Its operational definition
- How each variable is measured or manipulated
- How the variable/scale score is calculated and what the scores represent
Data Analysis Plan (1–2 pages)
oIdentify software used for analyses.
oProvide explanation of data cleaning and screening procedures as appropriate to the study.
oRestate the research questions and hypotheses here as written in Chapter 1.
oDescribe in detail the analysis plan including the elements below including:
§Statistical tests that will be used to test the hypothesis
§Rationale for inclusion of potential covariates / confounding variables
§How results will be interpreted (key parameter estimates, confidence intervals/probability values, odds ratios, etc.)