The purpose of this study is to figure out how anxiety affects academic performance. We are conducting this study to calculate how anxiety and depression can affect your academic performance through GPA.
1. Identify main variables and theoretical issues under investigation, relationships between them, and populations studied.
2. INTRODUCTION — Importance of the ProblemDescribe the purpose of the study. More simply, WHY are we conducting this study, why do we care?
Discuss any important aspects of the study, such as the variables, psychological phenomena, or populations it involves. Address why the problem or topic deserves further study. Explore the theoretical or practical implications of the research.
Conclude this part of the introduction with a brief but formal statement of the purpose of your research.
3. INTRODUCTION — REVIEW of RELEVANT SCHOLARSHIP
Provide a succinct view of relevant scholarship, including relation to previous work, and differences between the current report and earlier reports if some aspects of this study have been reported on previously.
Provide enough information to make the problem generally understood, but do not include an exhaustive historical account.
Show how your study reinforces, differs from, or builds on previous work.
Focus on pertinent findings, relevant methodological issues, and major conclusions.
If possible, refer readers to general surveys or research syntheses of the topic.
Always cite your sources both in text and in your reference list.
Present all sides of an argument in a balanced way and using professional language
4. INTRODUCTION — HYPOTHESIS, AIMS & OBJECTIVESState your research hypotheses or research questions.
Clearly explain the rationale for each research hypothesis or goal by demonstrating how it is derived from or logically connected to theory or previous research.
Show how the research design you are using will allow you to make the inferences needed to examine the research hypotheses or goals.
5. METHOD — Participants, Subjects, and Data SourcesDescribe in detail the people who participated in your study or any other data sources, such as nonhuman animals, documents, studies, events, or words. This detailed description helps readers evaluate the generalizability of your findings and make appropriate comparisons across studies.
Describe inclusion and exclusion criteria, including any restrictions based on demographic characteristics.
Report participants’ major demographic characteristics as relevant to your study, such as age, sex, gender identity, disability, ethnicity and/or race, sexual orientation, level of education, and socioeconomic status.
Sample Size: the intended number of participants or other data sources; the sample sizes for individual conditions if separate conditions were used; how the intended sample size was determined, and the sample size actually collected if different from that intended.
6. METHOD — Sampling ProceduresDescribe your participant sampling and/or data selection procedures, including sampling methods, recruitment protocols, percentage of the sample approached that participated, and the number of participants who self-selected into the sample.
In addition, describe the settings and locations in which you collected data, any agreements, incentives, or payments made to participants, and institutional review board approvals, ethical standards, and safety monitoring procedures.
7. METHOD — Research Design
Fully describe the research design and approach to inquiry, with enough detail that other researchers could replicate it.
State whether participants were placed into conditions that were experimentally manipulated or were observed naturalistically.
Describe how were participants placed in group 1 or group 2.
8. METHOD — MEASURES & MEASUREMENTDefine the measures collected. Describe the forms of data collected as well as any alterations made to the data-collection strategy during the process.
Describe the methods used to collect the data (e.g., questionnaires, interviews, observations). Describe the materials and instruments used to collect the data (e.g., standardized assessments, physical equipment), including the content and focus of the questions asked, psychometric and biometric properties (e.g., test–retest reliability, internal consistency), and process for recording and transforming data. Provide information on data collectors (e.g., how many were used and their training, whether and how masking was used).