สำนักหอสมุด มหาวิทยาลัยขอนแก่น

Step 3:

Hypothesis generation

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Full Text Article

Published in: 20241022
Database:arXiv
By: Liu, Haokun;Zhou, Yangqiaoyu;Li, Mingxuan;Yuan, Chenfei;+1 more
Published in: International Journal of Language & Communication Disorders,Jul2020
Database:Business Source Index
By: McAllister, Sue;Tedesco, Helen;Kruger, Samantha;Ward, Elizabeth C.;+2 more
Published in: Advances in Information Communication Technology and Computing : Proceedings of AICTC 2024, Volume 2,2025
Database:Springer Nature eBooks
By: Shamanova, Oxana;Zhylysbayeva, Akkongyr;Yerbolova, Aiym;Kumar, Bhupendra;+1 more
Published in: Surgical Endoscopy: And Other Interventional TechniquesOfficial Journal of the Society of American Gastrointestinal and Endoscopic Surgeons (SAGES) and European Association for Endoscopic Surgery (EAES),July 2011
Database:Springer Nature Journals
By: Chang, David C.;Talamini, Mark A.

The document discusses statistical analysis and mathematical modeling, focusing on Mean Squared Error (MSE) and the application of Bayesian models to estimate errors in measured data. It explores how sensory information, such as visual and proprioceptive inputs, can be integrated for more accurate estimations.

Additionally, the document covers neuroscience-related data analysis, particularly in sensorimotor control and perception-based learning. It explains how uncertainty in measurements can be minimized using Bayesian inference and discusses experiments involving lateral shifts and bimodal distributions.

The research references various studies on probability, sensory integration, and optimal control, emphasizing how mathematical models can enhance decision-making and prediction accuracy in complex systems.

This paper examines the impact of mood on the hypothesis generation
and ethical judgments of auditors. Prior psychology research documents different ef-
fects of negative and positive mood on information processing such that negative (pos-
itive) mood leads to more systematic (heuristic) processing (e.g., Forgas 1995a; Bless
2000). Theoretical accounting research (Gaudine and Thorne 2001) proposes a positive
relation between positive mood and ethical decision-making. Based on this research,
we predict that negative (compared with positive) mood will enhance performance on
a hypothesis generation task and impair performance on two ethical tasks. These pre-
dictions are tested in an experiment in which auditors perform an analytical procedures
task involving the generation of explanations for fluctuations in financial ratios and two
ethical tasks involving the truthful reporting of information. Consistent with predictions,
the results show that auditors’ judgments are influenced by their mood state. Specifi-
cally, auditors in a negative (compared with a positive) mood generated more correct
explanations for fluctuations in financial ratios, but made less ethical judgments. The
implications of these results are discussed, and suggestions for future research are
offered.

Published in: Surgical endoscopy,2011
Database:PASCAL Archive
By: CHANG, David C;TALAMINI, Mark A
Published in: Surgical endoscopy,20100528
Database:OpenAIRE
By: Mark A. Talamini;David C. Chang
Published in: International Journal of Language & Communication Disorders,Jul2020
Database:Education Source
By: McAllister, Sue;Tedesco, Helen;Kruger, Samantha;Ward, Elizabeth C.;+2 more
Published in: 2022
Database:eScholarship
By: Brockbank, Erik;Walker, Caren M

Open-Access

บทความ "สมมติฐานในการวิจัย" โดย [ไม่พบชื่อผู้แต่ง] กล่าวถึงความสำคัญของสมมติฐานในงานวิจัย ซึ่งเป็นข้อสันนิษฐานที่นักวิจัยตั้งขึ้นเพื่อทดสอบความสัมพันธ์ระหว่างตัวแปร สมมติฐานช่วยกำหนดทิศทางการศึกษาและการวิเคราะห์ข้อมูล การตั้งสมมติฐานที่ดีควรมีความชัดเจน ทดสอบได้ และสอดคล้องกับทฤษฎีที่เกี่ยวข้อง นอกจากนี้ บทความยังอธิบายถึงประเภทของสมมติฐาน เช่น สมมติฐานศูนย์ (null hypothesis) และสมมติฐานทางเลือก (alternative hypothesis) รวมถึงขั้นตอนการทดสอบสมมติฐานเพื่อสรุปผลการวิจัย
 
Published in: International Journal of Language & Communication Disorders,Jul2020
Database:Business Source Index
By: McAllister, Sue;Tedesco, Helen;Kruger, Samantha;Ward, Elizabeth C.;+2 more
The research idea, research question, hypothesis, and research objective collectively
form the bedrock of every scientific study and thus demand careful and precise
development. Guidelines such as the FINER (feasible, interesting, novel, ethical,
relevant) and PICOT (population, intervention, comparison group, outcome of
interest, and time) criteria provide a structured approach to establishing the study’s
foundation. Ultimately, clinical relevance and a well-defined study concept are pivotal
for a successful publication process and the scientific contribution that a study can
make to the current literature.
The research idea, research question, hypothesis, and research objective collectively
form the bedrock of every scientific study and thus demand careful and precise
development. Guidelines such as the FINER (feasible, interesting, novel, ethical,
relevant) and PICOT (population, intervention, comparison group, outcome of
interest, and time) criteria provide a structured approach to establishing the study’s
foundation. Ultimately, clinical relevance and a well-defined study concept are pivotal
for a successful publication process and the scientific contribution that a study can
make to the current literature.
When making decisions about complex interventions,
guideline development groups need to factor in the
sociocultural acceptability of an intervention, as well as
contextual factors that impact on the feasibility of that
intervention. Qualitative evidence synthesis offers one
method of exploring these issues. This paper considers the
extent to which current methods of question formulation
are meeting this challenge. It builds on a rapid review
of 38 different frameworks for formulating questions.
To be useful, a question framework should recognise
context (as setting, environment or context); acknowledge
the criticality of different stakeholder perspectives
(differentiated from the target population); accommodate
elements of time/timing and place; be sensitive to
qualitative data (eg, eliciting themes or findings). None of
the identified frameworks satisfied all four of these criteria.
An innovative question framework, PerSPEcTiF, is proposed
and retrospectively applied to a published WHO guideline
for a complex intervention. Further testing and evaluation
of the PerSPEcTiF framework is required.
Genomics has profoundly changed biology by scaling data acquisition, which has provided researchers with the opportunity to interrogate biology in novel and creative ways. No longer constrained by low-throughput assays, researchers have developed hypothesis-generating approaches to understand the molecular basis of nature—both normal and pathological. The paradigm of hypothesis-generating research does not replace or undermine hypothesis-testing modes of research; instead, it complements them and has facilitated discoveries that may not have been possible with hypothesis-testing research. The hypothesis-generating mode of research has been primarily practiced in basic science but has recently been extended to clinical-translational work as well. Just as in basic science, this approach to research can facilitate insights into human health and disease mechanisms and provide the crucially needed data set of the full spectrum of genotype–phenotype correlations. Finally, the paradigm of hypothesis-generating research is conceptually similar to the underpinning of predictive genomic medicine, which has the potential to shift medicine from a primarily population- or cohort-based activity to one that instead uses individual susceptibility, prognostic, and pharmacogenetic profiles to maximize the efficacy and minimize the iatrogenic effects of medical interventions.

Open-source

AI

Chat GPT

for brainstorming research questions

Gemini

for brainstorming research questions

Wolfram|Alpha

Validate feasibility and gather related metrics.

NotebookLM

AI-powered research and writing assistant that works best with the sources you upload

Prompts

"I am a [specific role/position] specializing in [specific subfield] with [X years/relevant experience] in [specific research area]. Help me formulate [number] specific research questions exploring the relationship between [independent variable/factor of interest] and [dependent variable/outcome] in [specific context/population/setting].

The research questions should be suitable for [specific purpose, e.g., grant proposal, publication] targeting [specific funding bodies/institutions/journals]. Use [desired language style, e.g., formal academic] and ensure the questions align with [relevant standards/guidelines/frameworks] in [your field].

Present each research question with:

  1. The main question
  2. Sub-questions if applicable
  3. Key variables to be measured
  4. Potential methodological considerations"

"I am a medical researcher specializing in public health with 5 years of experience in epidemiology research. Help me formulate 3-4 specific research questions exploring the relationship between urban air pollution and respiratory health outcomes in Southeast Asian cities. The research questions should be suitable for a grant proposal targeting the National Research Council of Thailand and international health organizations Use formal academic language and ensure the questions align with current WHO air quality guidelines and public health priorities.

Present each research question with:

  1. The main question
  2. Sub-questions if applicable
  3. Key variables to be measured
  4. Potential methodological considerations"

"I am a mechanical engineering researcher specializing in renewable energy with 8 years of experience in solar technology. Help me formulate 3 specific research questions exploring the relationship between novel photovoltaic materials and energy conversion efficiency in tropical climate conditions"

Prompt example3

"I am a clinical psychology researcher specializing in cognitive behavioral therapy with 6 years of experience in anxiety disorders. Help me formulate 3 specific research questions exploring the relationship between social media use and anxiety levels in adolescents."

Non-AI

Open-source

Chat GPT

for brainstorming research questions

Claude

for brainstorming research questions

Gemini

for brainstorming research questions

SciSpace

for exploring current research trends