How to Choose an Appropriate Research Data Collection Method and Method Choice Among Various Research Data Collection Methods and Method Choices During Ph.D. Program in India?

作者
H. R. Ganesha,P. S. Aithal
出处
期刊:International journal of management, technology, and social science [Srinivas University]
卷期号:: 455-489 被引量:40
标识
DOI:10.47992/ijmts.2581.6012.0233
摘要

Purpose: The purpose of this article is to explain the characteristics of data (qualitative and quantitative), secondary data, primary data, various primary data collection methods, data collection method choices, and most importantly the suitability of data collection method choices to enable Ph.D. scholars in India to understand the key difference between research methodology/design and research data collection methods/method choices, in turn, guiding them to choose an appropriate data collection method choice. Design/Methodology/Approach: Postmodernism philosophical paradigm; Inductive research approach; Observation data collection method; Longitudinal data collection time frame; Qualitative data analysis. Findings/Result: As long as the Ph.D. scholars can understand all the available research data collection methods and make mindful method choices of data collection to answer their research question they will be able to determine (on their own) all the other choices in succeeding steps of doctoral-level research such as i) data collection time frame; ii) sample size; iii) sampling technique; iv) data collection instrument; v) data analysis techniques. In addition, scholars will also be able to differentiate between research methodology/design and research data collection methods/method choices. Originality/Value: There is a vast literature about each one of the research data collection methods. However, only a few have explained them together comprehensively. In this article, we have attempted to capture most of the research data collection methods and method choices briefly that would enable Ph.D. scholars in India to glance through and make scholarly data collection method choices. Paper Type: Conceptual.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
alex完成签到,获得积分10
1秒前
1秒前
zykk发布了新的文献求助10
2秒前
Evan完成签到,获得积分10
2秒前
求求应助塔莉娅采纳,获得10
3秒前
3秒前
小七发布了新的文献求助10
4秒前
4秒前
4秒前
5秒前
大模型应助LLL采纳,获得10
5秒前
6秒前
物外发布了新的文献求助10
7秒前
7秒前
duxing发布了新的文献求助10
9秒前
也许飞鸟能到那个木屋完成签到,获得积分10
9秒前
科研孙发布了新的文献求助10
9秒前
eggo完成签到,获得积分20
9秒前
追寻易云完成签到,获得积分10
11秒前
年轻迪奥发布了新的文献求助10
12秒前
QD发布了新的文献求助10
12秒前
找找完成签到 ,获得积分10
13秒前
我真的还想再活五百年完成签到,获得积分10
14秒前
丘比特应助飞快的笑晴采纳,获得10
14秒前
12完成签到 ,获得积分10
14秒前
大模型应助zykk采纳,获得10
14秒前
思源应助脚猾的狐狸采纳,获得10
15秒前
15秒前
快乐爱斯米完成签到,获得积分10
16秒前
16秒前
shayulajiao发布了新的文献求助10
16秒前
zzzzmy完成签到,获得积分10
17秒前
gzw2001应助jinyu采纳,获得10
18秒前
20秒前
20秒前
ruoxuan完成签到 ,获得积分10
20秒前
21秒前
cc发布了新的文献求助10
21秒前
高震博完成签到 ,获得积分10
21秒前
fufengzhiwang发布了新的文献求助10
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Great Hymn to Šamaš 500
Positive Obsession: The Life and Times of Octavia E. Butler 500
Interpolation and Regression Models for the Chemical Engineer: Solving Numerical Problems 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7692566
求助须知:如何正确求助?哪些是违规求助? 9253605
关于积分的说明 19984204
捐赠科研通 7265378
什么是DOI,文献DOI怎么找? 3291278
关于科研通互助平台的介绍 2447459
邀请新用户注册赠送积分活动 2296538