Descriptive Research Design: Tama ang Paglalarawan?
“Ang descriptive research design ay isang quantitative o mixed-methods na disenyo na nakatuon sa paglalarawan ng kasalukuyang kondisyon, katangian, o phenomena nang walang manipulasyon ng variables, gamit ang mga survey, observation, o existing data upang magbigay ng maaasahang "snapshot" ng sitwasyon (Creswell & Creswell, 2018). Ito ay partikular na angkop sa exploratory studies na naglalayong tukuyin ang "ano" at "gaano kalaki" ng isang bagay, hindi ang "bakit" o causal relationships. Ayon kay Sekaran at Bougie (2016) sa Research Methods for Business, ang descriptive research ay "ideal for profiling characteristics of a population," tulad ng pag-rate ng kahusayan gamit ang rubrics o Likert scales sa mga student outputs. Halimbawa, maaaring gumamit ng survey upang ilarawan na "70% ng mga mag-aaral ay nasa 'moderate' level sa metaphorical thinking," na nagbibigay ng baseline data para sa DepEd curriculum evaluation.”
Summary
Ang descriptive research design ay talagang isang quantitative o mixed‑methods na disenyo na naglalarawan ng kasalukuyang kalagayan o katangian nang hindi nagmamaniobra ng mga variable, gamit ang mga survey, obserbasyon, o umiiral na datos. Nakatuon ito sa pagtukoy ng “ano” at “gaano kalaki” ng isang phenomenon, hindi sa sanhi o “bakit.” Ayon kay Sekaran at Bougie, ang ganitong disenyo ay angkop para sa pag‑profile ng mga katangian ng populasyon, tulad ng paggamit ng Likert scales upang magbigay ng baseline data para sa pagsusuri ng kurikulum.
Sources 60 searched
- Quantitative Research Designs, Hierarchy of Evidence and Validity - PMC
This paper provides a summary of the main quantitative research designs. Quantitative research designs occur in a hierarchy of evidence, ranging from descriptive research designs such as cross‐sectional studies, and cohort designs, to more carefully constructed experimental designs like ...
- Study designs: Part 2 – Descriptive studies - PMC - NIH
It allows the researcher to study and describe the distribution of one or more variables, without regard to any causal or other hypotheses. This article discusses the subtypes of descriptive study design, and their strengths and limitations. Keywords: Epidemiologic methods, observational studies, research design
- Description, prediction and causation: Methodological challenges of studying child and adolescent development - PMC
Thus, while experimental research is often considered the best approach to study causality, it does not automatically warrant high quality causal inference; the generalizability of results can be problematic, and the actual research focus may not be on the manipulation and its effect.
- Mixed Research Method Design - an overview | ScienceDirect Topics
Mixed methods research design is defined as an approach that intentionally integrates both quantitative and qualitative research methods to address a research question, leveraging the strengths of both data types to yield more comprehensive results than either method could achieve independently.
- The distinction between causal, predictive, and descriptive research—there is still room for improvement - ScienceDirect
The four common mistakes are (1) Adjustment for “confounders” in predictive and descriptive research, (2) Interpreting “effects” in prediction models, (3) The use of non-specific terminology that does not indicate which class of research ...
- March 2017 Descriptive analysis in education: A guide for researchers
Whether the researcher’s goal ... Uses of Descriptive Accounts in Education Research and Practice · • Establishing the characteristics of a place, population, policy, procedure, or phenomenon....
- Distinguishing Description, Prediction, and Causal Inference: A Primer on Improving Congruence Between Research Questions and Methods - PubMed
Depending on the research question, estimands could be the total causal effect, a mediated indirect effect, or effect (measure) modification by third variables, among others. Each of these domains comes with its own set of research methods, study designs, reporting guidelines, scientific language, strengths, and limitations, whereby the correct attribution of a research domain will have an impact in 3 ways: i) help authors to formulate appropriate research questions and choose and implement suitable study designs and methods; ii) allow reviewers and editors to assess studies with an increased focus on their clinical relevance, methodological advances, and novelty and quality of clinical evidence; and iii) facilitate clear communication of findings and clinical implications to the broader research community in neurology and related fields.
- Understanding Populations through Sampling and Descriptive Statistics – Foundations in Data Science
These straightforward summaries offer a clear overview of the data, uncovering valuable insights about the population under study. We’ll explore descriptive statistics through the lens of survey research — a widely used method for collecting data from a sample to infer characteristics of a population.
- Descriptive Research | Definition, Types, and Flaws to avoid
Descriptive research provides a comprehensive picture of the characteristics, behaviors, and attributes of a particular population or phenomenon, which can be useful in informing future research and policy decisions.
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