RELIABILITY‚ VALIDITY AND REPRESENTATIVE SAMPLE IN RESEARCH John and Webb (2002‚ p.148) distinguishes between validity and reliability‚ arguing that the first one is the extent to which a research is capable of measuring what it is supposed to be measuring and the second one is the extent to which a research delivers consistent results. Validity and reliability measurement instruments are free of bias and random error. Haynes and Heiby (2004‚ p.47) propose some questions addressing sampling adequacy
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between applicants and enterprises. Selection process begins as the job advertisement and receiving the reply from the applicant or some unsolicited enquiries. In order to catch the suitable candidates and obtain the right person for the job‚ HR should make a series of obstacles to eliminate applicants from the contention. For example‚ application forms‚ tests and interviews can evaluate the applicants’ skills‚ abilities‚ relative to the job and so on. To judge the effectiveness of any stage of selection
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this study is based on Zula (2011) model of initial tool construction and validation using subject panel expert and item analysis method. Process of tool development A content specialist panel (CSP) strategy was utilized to produce the items and item wording‚ and to build up content validity. Utilization of content specialist panel to create items and build up content validity for scale improvement has been well recorded in the literature (Hinkin‚ 2005; McLean et al.‚ 2005; Yang‚ 2005). Review of
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Reliability Analysis Reliability analysis is an important component of engineering work that draws on the areas of probability and statistics. As the name suggests‚ reliability analysis is concerned with the investigation of the failure rates of components and systems‚ which are typically represented as probabilities. Life testing is a general term used to describe the experimentation and statistical analysis performed to investigate failure rates. Probability distributions that are used to model
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Reliability is general rather than specific But validity is not general but specific. Reliability is necessary for validity because a test with score which fluctuates very much does not test anything. For example if a test of pronunciation measures pronunciation it is a valid test‚ instead of measures grammar and vocabulary. The test yields dependable scores that is if the scores do not fluctuate very much the test is reliable. means the scores obtained by a student will be close to the score she
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Focus group research- reliability‚ validity‚ replicability‚ generalisability A focus group can be defined as a group interview- centered on a specific topic and facilitated and co-ordinated by a moderator or facilitator- which seeks to generate primarily qualitative data‚ by capitalizing on the interaction that occurs within the group setting. The idea behind the focus group method is that group processes can help people to explore and clarify their views in ways that be less easily accessible
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Reliability Improvement Reliability of a scale is improved by pruning of weak items. Deleting a weak item from a measurement scale may sometimes lead to jeopardizing scale’s theoretical construct. When this happens‚ the item needs to be redesigned and revaluated. Wording of items in a measurement scale plays an important role in determining its discriminating power. Weak items in the scale are identified by computing Corrected Item-Total Correlation (CITC) (Ferketich‚ 1991) and Item-Deleted Cronbach’s
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EXPLORING RELIABILITY AND VALIDITY INSTRUCTIONS In a 2–3-page Word document (not including the title and reference page)‚ you will analyze the psychometrics provided from the Values and Motives Questionnaire (VMQ). Use APA formatting for the font (Times New Roman 12 pt.)‚ title page‚ margins‚ and section headings. To receive full credit for this assignment‚ be sure to: 1. Address the type of reliability and validity used. Explain the types of reliability and validity used. The authors of the
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Discuss potential challenges to validity and reliability of your research question‚ data‚ and analysis. Validity and reliability are the backbone of what is accepted as scientific proof by researchers. Potential challenges to reliability of a research question‚ data‚ and analyses are any significant results must be repeatable. Anyone who wanted to perform the same experiment applying the same conditions should arrive at the same result. If this is successful this reinforces the results
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Reliability in the design context Weibull Analysis • • • • Practical testing Trends Beta trends Real data for numerical work • Weibull examples Failure rate Early-life failure Wear out Mid-life failure Time in service Failure rate Falling values suggesting initial defects x Rising values suggesting wearing out o x o x x Time in service o o o Failure rate β>1 Β<1 β=1 Time in service Failure modes and effects analysis System/equipment: Analyst: Dwg no‚: Date:
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