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Prakruti - Self Assessment

Dr Rapolu Sunil
Trustable Ranking Icon可信任
1K+下载次数
15MB大小
Android Version Icon4.1.x+
Android版本
0.0.1(08-12-2018)最新版本
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Prakruti - Self Assessment介绍

Now-a-days, there is so many “Prakruti” (Individual Personality) assessment tools are available on online sources, but this tool which is originally developed by Professor Kishor patwardhan and his team is a very simple questionnaire through which one can easily assess his/her own personality without any difficulty. This Questionnaire is designed on the basis of the explanation found in Charak Samhita. This explanation is, in turn based on the specific attributes of a particular Dosha. Charak Samhita explains the specific attributes of a particular Dosha along with the description of the specific features these attributes produces in an individual. Thus, Vata, Pitta and Kapha have been assigned with eight, five and twelve attributes respectively. Furthermore each attribute produces one or more observable features at the physical, physiological, or psychological domains. This Questionnaire designed in such a way that, each feature as described in Charak Samhita has been converted into Question/Statement to form a validated self assessment tool. This tool has simple questions or statements that reflect each trait/feature as described in Charak Samhita alongside the specific attribute of a given Dosha. The respondents were asked to record their agreement or disagreement with the statement/question in the form of “Yes” or “No”. The scores to be allowed for a particular type of response were specified against the statement in a separate column. It was clearly mentioned that if the response of the individual was not the one mentioned in the column, the score to be allotted was Zero. For the sake of the convenience in the calculation, researcher allotted a total of 120 scores for each Guna. If a particular Guna produced a single feature, a full of 120 scores were allotted to that feature, when found in the individual. On the other hand, if a Guna produced more than one feature, 120 scores were divided equally into the specific number of features that the particular Guna produced. For example, if a particular Guna produced four features, 120 scores were divided by four, resulting 30 scores for each feature. Thus, the final maximal scores according to this questionnaire were 960 for Vata, 600 for Pitta and 1440 for Kapha. After submitting their response one can automatically come to know his/her own personality and related Diet-regimen for that particular individual unique personality.


现在,有很多“Prakruti”(个人人格)评估工具可以在线获得,但这个工具最初由Kishor patwardhan教授和他的团队开发,是一个非常简单的问卷,通过它可以轻松评估他/她自己的性格没有任何困难。本调查问卷是根据Charak Samhita的解释而设计的。这种解释又基于特定Dosha的特定属性。 Charak Samhita解释了特定Dosha的具体属性以及这些属性在个体中产生的特定特征的描述。因此,Vata,Pitta和Kapha分别被分配了八个,五个和十二个属性。此外,每个属性在物理,生理或心理领域产生一个或多个可观察特征。本调查问卷的设计方式是,Charak Samhita所描述的每个特征都已转换为问题/声明,以形成经过验证的自我评估工具。该工具有简单的问题或陈述,反映了Charak Samhita中描述的每个特征/特征以及给定Dosha的特定属性。要求被访者以“是”或“否”的形式记录他们对陈述/问题的同意或不同意见。特定类型响应允许的分数是在单独的列中针对该语句指定的。有人明确提到,如果个人的反应不是专栏中提到的反应,则分配的分数为零。为了方便计算,研究人员为每个Guna分配了总共120个分数。如果特定的Guna产生了单个特征,则在个体中找到该特征时,将分配120个分数。另一方面,如果Guna产生了不止一个特征,则将120个分数平均分配给特定Guna产生的特征数量。例如,如果特定的Guna产生了四个特征,则将120个分数除以4,得到每个特征的30个分数。因此,根据该调查问卷的最终最高分为Vata为960,Pitta为600,Kapha为1440。在提交他们的回复之后,人们可以自动了解他/她自己的个性和相关的饮食方案,以了解该特定的个人独特个性。

Prakruti - Self Assessment - 版本0.0.1

(08-12-2018)
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新特性Initial release with all features

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Prakruti - Self Assessment - APK信息

APK版本: 0.0.1程序包: prakruti.app
Android兼容性: 4.1.x+ (Jelly Bean)
开发商:Dr Rapolu Sunil权限:1
名称: Prakruti - Self Assessment大小: 15 MB下载次数: 0版本: 0.0.1发布日期: 2021-04-20 08:15:24最小屏幕: SMALL支持的CPU: x86, x86-64, armeabi, armeabi-v7a, arm64-v8a
程序包ID: prakruti.appSHA1签名: 86:19:8B:EE:4B:E9:C2:17:F8:52:C5:8F:39:30:FF:14:02:26:DD:5D开发商 (CN): Android组织 (O): Google Inc.本地 (L): Mountain View国家/地区 (C): US州/市 (ST): California程序包ID: prakruti.appSHA1签名: 86:19:8B:EE:4B:E9:C2:17:F8:52:C5:8F:39:30:FF:14:02:26:DD:5D开发商 (CN): Android组织 (O): Google Inc.本地 (L): Mountain View国家/地区 (C): US州/市 (ST): California

Prakruti - Self Assessment的最新版本

0.0.1Trust Icon Versions
8/12/2018
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