{"id":679595,"date":"2026-08-06T11:31:52","date_gmt":"2026-08-06T11:31:52","guid":{"rendered":"https:\/\/spitzwegstrasse.de\/wordpress\/?p=679595"},"modified":"2026-09-21T07:16:58","modified_gmt":"2026-09-21T07:16:58","slug":"reliability-vs-validity-in-research","status":"publish","type":"post","link":"https:\/\/spitzwegstrasse.de\/wordpress\/?p=679595","title":{"rendered":"Reliability Vs Validity In Research"},"content":{"rendered":"<p>Establishing regular, structured feedback mechanisms with tools and metrics for monitoring progress \u2014 such as standardizing coding and reporting all adverse events and near misses \u2014ensures that learning from past mistakes becomes an integral part of the organizational fabric. The team tried several technical fixes to improve reliability, such as lowering the model\u2019s temperature setting (which controls randomness) and having an agent repeat user instructions. None of these changes made a meaningful difference in performance. Overhearers are not as accurate as active participants in remembering the source of a comment. So if an acquaintance overhears and reports that a particular person made an insulting or undermining comment about you or a romantic partner, that comment can be acknowledged, but then set aside. Remembering what was said in a conversation can be considered an indication of how much we care about the people we talk to.<\/p>\n<p>Inter-rater reliability, often termed inter-observer reliability, refers to the extent to which different raters or evaluators agree in assessing a particular phenomenon, behavior, or characteristic. The Conversation is rated Least biased with Very High factual reporting by Media Bias Fact Check. Fred Schenkelberg is an experienced reliability engineering and management consultant with his firm&nbsp;FMS Reliability. His passion is working with teams to create cost-effective reliability programs that solve problems, create durable and reliable products, increase customer satisfaction, and reduce warranty costs.<\/p>\n<p>Many people in plants feel powerless to take action, lamenting poor design, management support, lack of tools and training, etc. So, with that in mind, we\u2019ll discuss things that anyone can do, given they\u2019ve had some experience in working in their plants. A clinical or forensic tool needs a kind of reliability a research task can do without. For example, a depression scale with reliability .81 and a clinical rating with reliability .64 can correlate at most about .72. That\u2019s true no matter how well the scale actually captures depression. It is technically a lower bound on reliability, not an exact value, and it assumes every item measures the underlying trait equally strongly.<\/p>\n<p>Large sample high reliability surveys are another area where patient safety could be advanced. Kathie Sutcliffe and I developed a measure that has been deployed in various places. But most organizations do not routinely collect data about high reliability principles.<\/p>\n<p>Many people are risk-averse, so  they will be reluctant to trust an unreliable person with increasing responsibility. Whenever a measurement has a potential for error, a key criterion for the soundness of that measurement is reliability. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy.<\/p>\n<p>Through 30 years of experience in corporate organizational communication, the CreatingWE Institute developed a set of tools that create a method of Co-regulation for promoting social engagements. C-IQ\u2019s catalyst tools are a powerful set of measurement tools that analyze the frequency of negative cortisol-producing behaviors versus positive oxytocin-producing behaviors that occur during conversations in today\u2019s workplaces. They measure, through subjective observation, how often people engage in both positive and negative behaviors and rate the frequency of those behaviors on a Likert Scale from 1, which is almost never, to 5, which is almost always. With the increased sharing of data about healthcare facilities from reporting organizations such as Leapfrog and CMS, leaders should promote and facilitate data sharing within their own units and across the organization to pinpoint areas for improvement. Thorough reporting and analysis of key metrics and outcomes improve not only how organizations identify and respond to adverse events but also how they proactively identify potential risks.<\/p>\n<p>C-IQ lets us express our inner thoughts and feelings to one another in ways that can strengthen relationships and success. As we come to understand the power of conversations in regulating how we feel every day, and the role language plays in the brain\u2019s capacity to expand perspectives and create a \u201cfeel-good\u201d experience, we can learn to shape our world in profound and healthier ways. Patients play a significant role in the <a href=\"https:\/\/bio.site\/amoredate\">Amoredate<\/a> high-reliability journey. Healthcare workers must be comfortable with empowered patients who have opinions about their care.<\/p>\n<h2>How Reliable Is Our Memory For Conversations?<\/h2>\n<p>Being able to see the world from others\u2019 perspectives is the benchmark of Conversational Intelligence and Level III conversations. We now know that there is a sea of biochemical and neural activity inside our brains and bodies that influence our ability to connect, navigate, and grow together as a culture. Understanding the neuroscience behind conversational dynamics is the foundation of C-IQ and the key to unlocking the door to the full potential of our relationships. Neural coupling, or synchrony between speakers and listeners, predicts the success of a conversation.<\/p>\n<p>Well, researchers would have a very hard time testing hypotheses and comparing data across groups or studies if each time we measured the same variable on the same individual we got different answers. This makes reliability very important for both social sciences and physical sciences. We appreciate your time reviewing and reporting rendering errors we may not have found yet. Your efforts will help us improve the HTML versions for all readers, because disability should not be a barrier to accessing research. Thank you for your continued support in championing open access for all.<\/p>\n<p>Patients provide valuable feedback that can help improve safety measures. However, transitioning to a high-reliability model requires more than a theoretical understanding. It demands practical, sustained efforts across all levels of the organization. The following strategies can help healthcare leaders pursue high reliability.<\/p>\n<p><img decoding=\"async\" class=\"aligncenter\" style=\"display: block;margin-left:auto;margin-right:auto;\" width=\"309px\" alt=\"reliability in conversations\" 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\"><\/p>\n<h3>Methods For Estimating Internal Consistency:<\/h3>\n<p>Psychology has often treated it as a box to tick once in a test manual, rather than a property that must be checked for the sample being tested. The goal is to demonstrate that the measures are consistent, accurate, and meaningfully related to the concepts they are intended to assess. Qualitative research emphasizes the richness and depth of understanding, and quantitative research focuses on measurement precision and statistical analysis. Multiple raters independently assess the same set of targets, and the consistency of their judgments is evaluated.<\/p>\n<p>By embracing these principles, healthcare leaders can steer their organizations toward a future where patient safety is always paramount and high-quality care is the norm. As the healthcare landscape continues to evolve, so must our approaches to ensuring that every patient receives the best care possible. Engaging with some of the process measures and surveys can also validate high reliability. Are we sustaining error-free, harm-free performance over a longer time horizon?<\/p>\n<p>Oxytocin receptors project into the hippocampus, our hub for long-term memory and spatial location, where they promote neurogenesis and protect memory from uncontrollable stress (Lee 2015 &amp; Lin 2017). Oxytocin has been called the \u201clove hormone\u201d and truly lives up to its name, as its receptors stretch all the way to the heart, where it plays a role in healing and protecting against stress. When trust and oxytocin are present, we can lower our guards and begin to connect with others, building lasting relationships of reciprocal trust and creativity. Transformational conversations, also called co-creating conversations, include interaction dynamics such as sharing and discovering.<\/p>\n<h2>The Conversation \u2013 Bias And Credibility<\/h2>\n<p>In this session we\u2019ll be taking participants through a \u201cself-assessment\u201d of their design and capital projects practices with a particular focus on designing for plant reliability. What we\u2019ve observed is that most organizations do not use a life cycle cost approach in their capital projects, but rather lowest installed cost. This results in lower reliability, and generally poorer performance.<\/p>\n<p>As for which processes might be more important than others, in general, healthcare organizations tend to be better on the two sub-components of the high reliability principles that we describe as containment. Something has gone wrong, and the organization needs to recover, so commitment to resilience and deference to expertise come into play. Catherine Klein and her colleagues have a great paper on what they call dynamic delegation, when teams pass leadership responsibilities when performing urgent, unpredictable tasks.1 Trauma teams are good at reconfiguring and adapting in response to those kinds of circumstances. Same thing with resilience; people need to learn as they go in chaotic situations. Regularly reviewing performance data and adjusting practices accordingly helps sustain a culture of improvement. Data enables healthcare organizations to identify trends, pinpoint areas of concern, and make informed decisions about where to focus improvement efforts.<\/p>\n<p>It also helps underscore \u201cthe why\u201d behind why initiatives have been put in place. One of the hallmarks of a high-reliability organization is its ability to continuously learn and improve. HROs actively create and maintain a \u201cjust culture\u201d \u2014 a learning culture that focuses on patient safety by promoting an open and honest environment where leaders and workers feel comfortable and safe reporting errors.<\/p>\n<p>Research in interpersonal relationships has long told us that positive attitudes regarding the relationships within which you find yourself are powerful predictors of satisfaction and longevity within those relationships. Of that, there is no debate, but what are the foundations of such positive attitudes? What can you do to enhance the way you are perceived in personal and professional relationships? Note that even if you have an account, you can still choose to submit a toolkit as a guest. Note that even if you have an account, you can still choose to submit an innovation as a guest.<\/p>\n<ul>\n<li>A noisy measure occasionally throws up an unusually large effect by chance, and it is precisely those inflated results that clear the bar for publication.<\/li>\n<li>Without reliable tests, clinicians risk missing a diagnosis like depression, so patients may not receive the therapy they need.<\/li>\n<li>An essential revelation has been that high reliability may be more important than high performance.<\/li>\n<li>In terms of organizations I work with, I\u2019ll provide a specific example from a cardiac catheterization lab that was unreliable on an everyday issue, getting patient histories and physicals before catheterization.<\/li>\n<\/ul>\n<p>If the same or similar results are obtained, then external reliability is established. In general, The Conversation covers a wide range of topics, most of which are evidence-based. Opinions expressed come from both the slightly left and slightly right, with more coming from a more liberal perspective. Founded in 2010, The Conversation is an independent, not-for-profit media outlet. Academics, edited by professional journalists author articles, and freely available online and for republication through a creative commons license. The Australian website launched in March 2011,&nbsp;and has expanded into editions in the United Kingdom (UK) in 2013,&nbsp;United States (U.S.) in 2014,&nbsp;Africa in 2015,&nbsp;France in 2015,&nbsp;Canada in 2017,&nbsp;Indonesia in 2017, Spain in 2018 and Europe and Brazil in the 2020s.<\/p>\n<p>After each conversation, everyone wrote down as much as they could recall from the conversation, trying to remember it word-for-word with as much detail as possible. A lack of reliability is to be defended against in the minds of many. Violated expectations (a lack of predictability and reliability) are believed to be at the root of an anxious moment.<\/p>\n<p>This means asking questions for which you have no answers, listening to the collective, discovering, and sharing insights and wisdom. This generative way of communication leads to more innovative insights and deeper listening to connect to others\u2019 perspectives. High reliability is typically described as a journey \u2014 a continuous process rather than linear steps. To sustain focus on high reliability, organizations must remain diligent and resilient as new threats arise and problems and challenges change.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Establishing regular, structured feedback mechanisms with tools and metrics for monitoring progress \u2014 such as standardizing coding and reporting all adverse events and near misses \u2014ensures that learning from past mistakes becomes an integral part of the organizational fabric. The team tried several technical fixes to improve reliability, such as lowering the model\u2019s temperature setting &hellip; <a href=\"https:\/\/spitzwegstrasse.de\/wordpress\/?p=679595\" class=\"more-link\"><span class=\"screen-reader-text\">Reliability Vs Validity In Research<\/span> weiterlesen<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-679595","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/spitzwegstrasse.de\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/679595","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/spitzwegstrasse.de\/wordpress\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/spitzwegstrasse.de\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/spitzwegstrasse.de\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/spitzwegstrasse.de\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=679595"}],"version-history":[{"count":1,"href":"https:\/\/spitzwegstrasse.de\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/679595\/revisions"}],"predecessor-version":[{"id":679596,"href":"https:\/\/spitzwegstrasse.de\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/679595\/revisions\/679596"}],"wp:attachment":[{"href":"https:\/\/spitzwegstrasse.de\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=679595"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/spitzwegstrasse.de\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=679595"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/spitzwegstrasse.de\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=679595"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}