Quantitative, qualitative, mixed-methods, pick the approach that fits your research question, then design the sampling, instruments and analysis to match.
Methodology chapter writing, research design, qualitative vs quantitative vs mixed-methods, sampling, instruments, data collection, data analysis frameworks, ethics approval. Use this when the post is about HOW THE RESEARCH IS DONE.
You make a literature review critical by judging each source instead of reporting it: ask where its evidence comes from, whether its method fits its claim, and what it leaves out, then explain what the pattern across sources means for your…
Read article →Direct answer: SPSS software is IBM's program for statistical analysis. You work in two places: the Data Editor, where Variable View defines each variable and Data View holds one row per case, and the Viewer, where every table and chart…
Read article →Bayesian statistics is a way of analysing data in which what you already know about a quantity is updated by what your data show. van de Schoot et al. (2021) describe it as an approach based on Bayes' theorem.
Read article →Binary logistic regression predicts a yes-or-no outcome, such as pass or fail, from one or more predictors, and it reports each predictor's effect as an odds ratio.
Read article →Most methods chapters that use thematic analysis cite one paper: Braun and Clarke (2006). The authors themselves no longer describe their approach the way that paper did.
Read article →A chi-square table lists critical values: you pick the row for your degrees of freedom and the column for your significance level, then compare your test statistic with the number where they meet.
Read article →Cox regression, published by Cox in 1972, is a regression model for time-to-event data, such as the time from diagnosis to relapse or from surgery to death.
Read article →Degrees of freedom are the number of values in your data that are free to vary once your calculation has fixed some quantity, such as the mean.
Read article →Descriptive statistics summarise the sample you actually collected: how many cases you have, what is typical, how spread out the values are and how the categories split.
Read article →Descriptive statistics summarise the data you actually collected, while inferential statistics use that sample to draw conclusions about a wider population.
Read article →Fisher's exact test and the chi-square test both ask whether two categorical variables are related, but they calculate the p-value in different ways.
Read article →Direct answer: List each value or class interval in the first column, count how many observations fall in each, and add that count as a frequency column. Then add relative and cumulative columns.
Read article →Direct answer: For a G Power power analysis, open GPower, pick the t tests family, choose the t-test that matches your design, and set the analysis to "A priori".
Read article →Grey literature is research and information produced outside commercial academic publishing, such as government reports, theses, working papers and preprints.
Read article →Direct answer: Read the SPSS regression analysis output in four tables, in order. Model Summary tells you how much variance the predictors explain (R Square), the ANOVA table tests whether the model as a whole predicts the outcome, and…
Read article →A z table, or standard normal distribution table, turns a z-score into the share of the normal curve that lies below, above or between values.
Read article →Hypothesis testing is a structured way to ask whether your data are compatible with a default claim, usually that there is no difference or no relationship.
Read article →The Kruskal-Wallis test compares three or more independent groups by ranking every observation and asking whether the groups' ranks differ more than chance would allow.
Read article →Kurtosis is a number that describes the tails of a distribution: how much of the data sits far from the mean compared with a normal curve.
Read article →A skewed distribution is one whose two halves are not mirror images, because one tail stretches further than the other.
Read article →Direct answer: Levene's test checks whether two or more groups have equal variances, an assumption behind Student's t-test and classic ANOVA. A non-significant result (p above .05) means you have no evidence against equal variances.
Read article →To design a Likert scale questionnaire, write several clear statements for each construct, give every statement the same labelled ordinal response options, and pilot the draft before you collect data.
Read article →A good literature review example groups published studies under ideas, compares them, judges their quality and ends by showing what is still unknown.
Read article →A literature review and a systematic review both read published research, but they answer different kinds of question with very different amounts of method.
Read article →Direct answer: The Mann-Whitney U test compares two independent groups when the outcome is ordinal or skewed, so a t-test is a poor fit. It ranks all scores together and asks whether one group tends to hold higher ranks than the other.
Read article →The mean suits roughly symmetrical numeric data, the median suits skewed data or ordinal scales, and the mode is the only choice for nominal categories.
Read article →Multicollinearity means that two or more predictors in a regression carry overlapping information, so the model cannot separate their effects.
Read article →Multiple linear regression predicts one continuous outcome from two or more predictors, and a dissertation chapter usually reports three things from it: how well the whole model fits, what each coefficient says once the other predictors…
Read article →Direct answer: A Net Promoter Score survey asks one recommendation question on a 0 to 10 scale and reports promoters minus detractors.
Read article →Most SPSS output for a dissertation includes a Tests of Normality table with two rows, Kolmogorov-Smirnov and Shapiro-Wilk, and students are often unsure which one to trust when the two disagree.
Read article →The null hypothesis (H0) says there is no difference or no relationship in the population, and the alternative hypothesis (H1) says there is one.
Read article →A one-way ANOVA tests whether the means of three or more independent groups differ on one continuous outcome, using a single grouping factor.
Read article →A paired t test compares two measurements taken on the same people, such as scores before and after a module, and asks whether the average change differs from zero.
Read article →Parametric tests such as the t-test and ANOVA assume a known distribution, while non-parametric tests such as Mann-Whitney U and Kruskal-Wallis work on ranks.
Read article →The Pearson correlation coefficient, written r, summarises how closely two continuous variables move together along a straight line. Schober et al.
Read article →A percentile tells you where one score sits among all the scores, by counting how many fall below it. A score at the 70th percentile beats about 70% of the others, which is a different statement from scoring 70%.
Read article →Direct answer: Choose Tukey when you compare every pair of group means after a significant ANOVA with similar group sizes. Choose Bonferroni when you planned only a few comparisons in advance.
Read article →A research hypothesis is a testable prediction about how two or more variables relate, written before you collect data.
Read article →You design semi-structured interviews for a dissertation by building an interview guide in five phases: check that interviews fit your question, review what is already known, draft open questions with probes, pilot the guide, and present…
Read article →Simple linear regression is a statistical method that fits a straight line through data to show how one continuous outcome changes as one predictor changes, and it is often the first inferential test in a quantitative dissertation.
Read article →A student plots revision hours against exam score for eight classmates and sees the points climb, but one very high value drags the line off course.
Read article →Variance and standard deviation both measure how spread out a set of values is around its mean, and the standard deviation is simply the square root of the variance.
Read article →A t-distribution table lists the critical t values that mark where a t test becomes significant, arranged by degrees of freedom in the rows and by tail probability in the columns.
Read article →To run and interpret a two-way ANOVA, check the assumptions, test the interaction first, and interpret the main effects with care, or by group, if the interaction is significant.
Read article →The main types of questionnaire questions are open, closed, rating, ranking and matrix questions. Closed questions come in several forms, such as yes/no and multiple choice.
Read article →Welch's t-test compares two group means without assuming the groups have equal variances, and Student's t-test does assume it.
Read article →A result is statistically significant when its p-value falls below the significance level you set before collecting data, usually .05.
Read article →The Wilcoxon signed-rank test compares two related sets of scores, such as before and after measurements on the same people, by ranking the size of their differences. Fiel Peres (2026) describes it for dependent groups.
Read article →To tell if an article is peer reviewed, work through four checks: tick the peer review limiter in your library database, look up the journal in Ulrichsweb for the refereed icon, read the journal's author instructions, and check the…
Read article →The main mixed methods research designs are convergent, explanatory sequential and exploratory sequential. Berkovic (n.d.) states that there are three, and Fetters et al. (2013) add four advanced frameworks built from them.
Read article →Choosing among qualitative research methods is easier once you stop asking which one is best and ask which one can answer your question.
Read article →Thesis statistics help is allowed when it advises you on the method and leaves the analysis, the interpretation and the writing as your own work.
Read article →Choosing the right statistical test means matching one method to your research question, your data type, and your study design before you run any analysis.
Read article →Enter your population, margin of error and confidence level, and the page gives you how many people to survey. The working is one click away.
Read article →Type the numbers your software printed and this page writes them as one APA 7 results sentence. It sets the italics, the decimals, the zeros, the spaces and the confidence level.
Read article →Literature review AI helps most when each tool is matched to the layer it serves, because a literature review that reads well is usually built in layers.
Read article →Most lists of AI tools for research treat every tool as if it were AI and every tool as if it were equally reliable.
Read article →Choosing qualitative data analysis software feels like a decision about analysis, yet it is mostly a decision about housekeeping.
Read article →The worst moment to choose a reference manager is the week your thesis is due. By then the bibliography holds a few hundred entries, half of them typed by hand, and any tool you adopt has to be taught every one of them.
Read article →Yes, you can cold email a professor yourself. Nothing stops you, no permission is required, and the email itself takes about 20 minutes to write.
Read article →The abstract is the part of your paper that most people will read, and in published research it often disagrees with the paper it summarises.
Read article →Mixed methods research suits only questions that need both numeric and narrative data, so match qualitative, quantitative, or mixed methods to your question.
Read article →A student learning how to write a lab report runs a clean synthesis, gets a 78% yield, and writes it up over 6 pages. The report comes back in the credit band with one comment: too much description, not enough interpretation.
Read article →Knowing how to write research recommendations matters when a supervisor returns a thesis draft with one comment against the final chapter: your recommendations are just your findings again, written as instructions.
Read article →Search this question in Vietnamese and the first page fills with document-sharing sites. The answer that regulation actually provides is duller and more reliable: your target institution is required to publish this material, and so is…
Read article →Sometimes, and where it is required the requirement is usually absolute. What surprises applicants is not that answer but its shape.
Read article →Most applicants assume a PhD research proposal gets judged first on whether the idea itself is strong enough. That is not how an experienced reader actually works through the document.
Read article →How many working sessions does it actually take to move a study from an idea to a paper published in a Scopus-indexed journal, the database Elsevier launched in 2004 alongside Web of Science, the index tracing back to the Science Citation…
Read article →A journal cover letter to the editor is a note of 1 page, typically three to four short paragraphs, that frames your manuscript's fit, novelty, and ethics before an editor decides on peer review.
Read article →The discussion chapter of a dissertation is where you interpret your findings, argue what they mean, and show examiners your contribution to knowledge.
Read article →Braun and Clarke thematic analysis is a six-phase method for identifying patterns of meaning in qualitative data such as interviews.
Read article →Expect a first Scopus paper to take about 9 to 18 months end to end, so count backwards from your deadline. Ask a first-time Vietnamese author how long a Scopus Q1 or Q2 paper takes, and you get the wrong question.
Read article →To submit a paper to an academic journal, you choose a journal, format the manuscript to its guidelines, assemble a cover letter and declarations, submit through an editorial system, then manage the decision.
Read article →A conference paper and a journal article are different tools, not competing goals, and the right first venue depends on your research field and your aim.
Read article →An AI health study is reproducible when an independent team can rerun your code on the stated data and reach the same results you reported.
Read article →The introduction section of a research paper has three parts: the problem, the existing solutions and the gap, ending in a clear research question, aim or hypothesis.
Read article →The methods section of a research paper explains what you did and why, in enough detail that another researcher could reproduce your study.
Read article →The results section of a research paper reports your findings objectively and without interpretation, using text, tables, and figures together.
Read article →Peer review for a Scopus journal usually takes two to four months from submission to first decision, but the exact time varies widely by field and journal.
Read article →The difference between a conceptual and a theoretical framework is that one applies a named theory and the other maps your own concepts.
Read article →You qualify as an author on a scientific research paper only if you meet all four ICMJE authorship criteria, not merely because you funded, supervised, or collected data.
Read article →A paper gets retracted when its findings can no longer be trusted, and most causes are integrity mistakes you can prevent before you submit.
Read article →A dissertation abstract is a short, stand-alone summary that states your study's aim, methods, key findings, and contribution to knowledge.
Read article →No; you do not have to pay to publish in a reputable journal: many charge no fee at all, and waivers exist for researchers in lower-income countries.
Read article →A reporting guideline is a checklist of what your paper must include and using the right one for your study type is now expected at most good journals.
Read article →A paper's reach depends on more than the journal: preprints, a researcher profile, self-archiving, and sharing decide how many people read and cite it.
Read article →To write a dissertation conclusion, work through five moves in order: purpose, findings and contribution, limits, implications, then future research.
Read article →The main AI tools for systematic review screening are Rayyan and ASReview, which rank titles and abstracts so you read the most relevant studies first.
Read article →A dissertation introduction is the opening chapter that defines your research problem, states your aims, and shows examiners why the study matters.
Read article →A desk rejection (or desk reject) is an editor's decision to reject a manuscript before peer review, often within days, and it is the most common way manuscripts fail.
Read article →A research gap is a specific, unresolved question your field has not yet answered, and finding a genuine one is the foundation of any publishable study.
Read article →A PhD research proposal sets out your research question, your method, and a realistic timeline that convinces a supervisor the project is feasible.
Read article →A major revision from a Scopus journal means the editor will likely publish your paper once you address every reviewer concern in full.
Read article →The discussion section of a research paper is where you interpret your findings, what they mean, why they matter, and how they fit prior work. It is interpretation and argument, not a place to repeat your results.
Read article →To conduct a meta-analysis, frame one question with PICO, register a protocol, extract data and choose an effect size, pick a model, measure heterogeneity, then check publication bias and report.
Read article →Using AI ethically in your literature review means using it as a search and screening assistant, never as a source of citations you do not verify.
Read article →A predatory journal takes your fee, skips real peer review, and can trap your paper, and for Vietnamese researchers it can damage a whole career.
Read article →A PRISMA systematic review answers one focused health-sciences question by finding, appraising, and synthesising every relevant study with a reproducible method.
Read article →Many Q1 journals ask for a reporting checklist at submission, CLAIM 2024 for AI in medical imaging or TRIPOD+AI for prediction models, alongside clinical novelty, external validation and transparent reporting.
Read article →To find a Scopus journal that fits, match your paper to a journal by scope, citation fit, and realistic acceptance odds before you ever submit.
Read article →The difference between Q1 and Q2 journals is rank: within a Scopus subject category, Q1 is the top 25% by citation impact and Q2 the next 25%.
Read article →Responding to reviewer comments on a Scopus submission means answering every point in a structured letter, fixing what you agree with and defending the rest. Do it with evidence and courtesy.
Read article →Publishing in Scopus Q1 or Q2 journals is the single hardest milestone for a Vietnamese researcher's first international submission and the one with the highest career payoff.
Read article →Seventeen knowledge tracks, pick a category, read curated articles, or send a question and a MAAS mentor will respond directly.
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