Ever find yourself with this problem? You're starting on a research project. Let's say the question, how do drugs affect your body?  But you don't want lots of results. You want great results that are appropriate, scholarly sources for your research project. How do you get those results? I'll give you four suggestions on how to get what you're looking for. Suggestion one, use a research database to narrow your results to only scholarly materials. A link to our databases can be found on our library homepage at the databases tab on the left. I'll show you how to narrow to only scholarly sources in just a second. Using the psych info database as an example, we'll type in our question, how do drugs affect your body? Although we're using a research database, we're now getting too few results. If we look closely at the titles, we also see that they're not very relevant to our question. The problem here is that the database doesn't recognize the question. As an example, we'll type a specific drug, caffeine, into the search box and we'll narrow our results to only scholarly articles by checking the peer-reviewed box below. And that's our third recommendation, narrow results to only peer-reviewed or scholarly articles. Our previous search returned 3,013 results, better than a broad search over the web, but still too many. We need to narrow down our results even further. Suggestion 4, narrow your results using related searches or subject terms. If we look at the top of the screen in psych info, we see it provides some related searches and if we click caffeine and emotional states, we narrow our results down to 142. However, this suggestion may not be to a topic you're interested in. On our previous results page at the right hand side, we see an area to narrow by subject. Expanding the plus sign, then expanding even more brings us to a number of subject terms we could use to narrow our results. For example, we could tell the database to include results with the specific subject terms sleep disorders and caffeine. Now our results have been narrowed down to 30 scholarly articles. Once you become more familiar with your research topic and the terminology, you can get similar results by setting up your search to look in the subject field at the outset. Most of our research databases have similar features to help you narrow. This should ensure that you get great results that are relevant, scholarly and precise. To review, we just looked at how to get great results by narrowing your search using a research database with specific words or ideas by limiting to peer-reviewed articles and by using specific subject terms. If you have any questions, ask us at library.wlu.ca. www.llu.ca.


Hello. Welcome to this webinar on reusing data for dissertation projects. My name is Maureen Haker. I've worked with the UK data service for about eight or nine years now. I also teach research methods at University of Suffolk. All right. So what we're going to plan to do today is to go over some key ethical and methodological issues of reuse projects, which you'll need to consider for a dissertation project. And before we get any deep in that, I just want to give a very brief overview of what the UK data service is for those who have not yet had the pleasure of exploring the archive yet. I've tried to pull in a few case studies throughout so you can see some of our data in action. And I'll sign post you at the end to some further resources, which can help if you're planning a reuse project. This is an introductory webinar. So we have assumed most of you will probably not have used the archive before, and may have only had some introductory modules on research methods. And before we get too far along, I want to address one simple point first. What is secondary analysis? So in short, secondary analysis is a method which asks new questions of old data. It's analyzing data that you've not collected yourself. But there is a complicated nuance here around terminology. And you may have heard of some other terms used to describe this method, including secondary data analysis or reuse projects. They all refer to the same method. So don't get too confused by this. But there is an ongoing debate about how to call this method. In 2007, Libby Bishop wrote the article you see here, primary secondary dualism. Basically, she was making the argument that there may be a privileging of methods where you go out to collect data yourself. And using terms like secondary analysis or secondary data reinforces that hierarchy. But actually, primary and secondary analysis are a lot more similar than different if you fully consider the key methodological issues of secondary analysis as a method. Consequently, you'll find an increasing use of the term data reuse. And that's a term that I'll use throughout this webinar. But it takes into account the huge range of ways that data can be used and reused. And it also doesn't imply that any projects are secondary to the initial use of data. So you can use whatever term comes to mind first. Both are used. But just do be aware that there are different ways of describing this process of reusing data. Okay. So now you know what secondary analysis. But where would you find data that's already been collected? And this is where the UK data service, which holds the largest collection of social science data in the UK comes in. We're a comprehensive resource funded by the ESRC. Our main job is to be a single point of access to a wide range of secondary social science data. The main purpose then is the collection, ingest and processing of data. And then further dissemination of that data to people for reuse. In addition to that data infrastructure core, we also have a service layer which provides extensive support training and guidance. Who is it for? Well, we like to think it's really for anyone who has an interest in data. Traditionally, the main audience and the people who probably both deposit data with us and use our data the most tend to be academic researchers and students. There are a lot of other groups that are well represented, including government analysts, charities, foundations, businesses, research centers and think tanks. All give us and use our data. Given the importance of data, how it's used, how it's disseminated, we're trying to reach out and support a wide range of communities. What kind of data do we hold? The majority of our data, at least judging by the number of collections is certainly quantitative. You know, we hold over over 6000 collections of which 5000 of them are quantitative collections. And we hold a wide variety of that data. So there's survey data, both cross-sectional and longitudinal, aggregate statistics, domestic, international macro data, and the census data, and micro data. And then of course, we also have qualitative and mixed method data as well. So just to check that you're still with me, what kind of data do we hold? Excellent. We do hold all of it. And it looks like everybody across the board is kind of answering all of it. Excellent. Yes, we have all of these types of data. So quite a wide range of data really. Okay, so where does it actually come from then all of this data? Well, again, that varies. And it depends on the data type and some of the sources that you see listed here, including agencies, statistical time series, those are clearly main sources for our quantitative data. Most of our qualitative and mixed data comes through individual academics. So, you know, research grants that that are often funded by the ESRC, but not exclusively, you know, we take data that's been funded by others like the Wellcome Trust or Leather Hume and other independently funded work. And of course, we also hold some originally paper-based public records and historical sources, including things like the census. And where can I, where would you be able to find information about it? We do have a website, ukdataservice.ac.uk, which holds quite a lot of information. And from there, you can find the data catalog. And we also have hundreds of pages which discuss methodological issues like gaining consent, anonymizing data, storing data. And there's also student specific tutorials. So we do have some data skills modules, for example. There's some workbooks and exercises that are based on collections we hold. And there's also an FAQ page if you have specific questions about how to use the website. But getting back to dissertation projects. What kind of, you know, dissertation project would you be able to do reusing data from the archive? Well, really, we need to go back to the beginning to answer this and think about the research process. And you're hopefully familiar with this model that you see on the screen now. It starts with some kind of, you know, topic or general direction for your research. You do some background research into the literature already written on your topic. And from there, hopefully, you're inspired to ask a research question, which builds on that body of research. Once you have that research question, you then decide, you know, what's the best way to answer that question? And you design your project. And once you've settled on your method, you then actually go out and collect the data, analyze it and begin your write up, which is, you know, what you would submit for your dissertation. Now, there may be a few extra steps there, or you may swap a couple of these steps depending on your theoretical foundation. But generally speaking, this is how we would normally think about the research process. When you're doing a project using secondary analysis, however, this process looks a little different. The model clearly shows how the research question is built from your chosen topic area, your preliminary search, possibly the literature that you find. However, with secondary analysis project, the research question is derived directly from the data. So you would start with the topic you're interested in. But instead of looking for the literature, you would look for the data and start evaluating collections. You might be able to hear my dog getting quite excited now. There might be the postman walking by. So apologies if you can hear her barking. When you do find a collection that intrigues you, you then ask a question, a research question of that data. And from there, you would then go on to find what literature exists on that question. You then would not need to collect the data, you just need to access it, which is, of course, one of the key advantages of secondary analysis. The data is already collected. You just need to get your hands on it, either by downloading it from the catalog page, or you may need to go into the archives if it's only available in paper form. Increasingly, that's not the case. Most data that we get now is already in a digital form. Once you have it, you then analyze it and write up your dissertation. So the key I'm trying to make here is around reusing data for dissertation projects. Is around where your research question comes from. It would take a lot of time and inside knowledge about the data that's held in the archives in order to be able to come up with a research question and then search for the perfect data to answer it. You'd be searching for the right data for a really long time, unless, as I said before, you've got really good knowledge about what collections are already held by the archive. For a dissertation project, when your time and resources are limited, you'll want to look for the data first, and then from there develop a research question, which gives a new take on that data. You can of course spend some time looking for the right data, but again, for a dissertation project, you may want to first look and see what data exists on your general topic area before nailing down your research question. With that being said, it's probably important to have some kind of idea around what kind of project you want to do. While you might be exploring data without a specific question in mind, you may want to think about what kind of research design your project will follow. And there's four types of reuse projects that will lend themselves well to dissertation projects. Reanalysis, replication study, comparative study, and re-study. So reanalysis is probably the one that comes to mind when thinking about what secondary analysis is. And this involves thinking about the wide range of approaches you can take in the analysis of a data set. It usually means asking some kind of different research question than what the original researchers were trying to do. So for example, Clive Seal and Charterist Black did a study using comparative keyword analysis of illness narratives. Now the original illness narratives had looked exclusively for health research. So the interviews were meant to explore how diagnoses were made. When Seal and Charterist Black came along to do the comparative keyword analysis, they were much more interested in an analysis of the discussions between patients and doctors rather than the actual health issues that came up in the interviews. So the question can be very different in that sort of way. Or sometimes the question can be on a similar topic to the original research, but have a slightly different focus. So for example, Joanna Bornat looked at gerontology as a topic, and she found two different data sets that look specifically at this topic. However, Bornat's research question was on racism, which wasn't the focus of the original work, but the data set was rich enough to allow her to explore this theme within the existing data. If you want to use the exact same analysis strategy, that would be a replication study, and that's also possible. So right now there is some concern over the reproducibility of research, and replication studies can reveal the messiness that's involved in working through data. One of the most famous or infamous really examples of replication is from Thomas Herndon, who is a postgraduate student at University of Massachusetts. He was assigned an assessment to replicate the results from a published study. So he chose Reinhart and Rogoff's 2010 paper, Growth in the Time of Debt. Basically this paper came up with the proportion at which your national debt can be of your GDP before you see negative economic growth. Thomas Herndon pulled the OECD data to rerun the analysis as the paper had laid out, but he got a completely different answer. The paper published said that debt cannot exceed 90% of GDP. However, he calculated that the debt can actually exceed your GDP, and even then it's only a minimal impact on economic growth. So after contacting the original investigators, he found a flaw in their data set where basically they had miscopied some of their cells. The full story is published in 2013 in the New Yorker, so a replication study hopefully won't always find flaws in the original study, but nonetheless this is a study design that's worth considering and it certainly helps you develop an appreciation for the research process. You could even develop a project where you would rerun a series of studies on the same topic or you explore a complicated data set with missing data, transforming variables, and so on. You can also do comparative work, so you might be looking at an international comparison between two countries or comparing social subgroups of the population based on a shared social characteristic. Our key data page for quantitative data sets outlines some of our large national surveys held at the archive, any of which would allow you to do some kind of comparative work without having to collect two sets of data. You could compare samples across time, geographic place, gender, ethnicity. These characteristics are usually collected as standard for these larger surveys. The final type of reuse is exemplified by a case study that I'll go through with you now. And this case is a re-study, which is where you replicate the methods of a study for purposes of comparison, so it does a bit of secondary analysis, but it also allows you scope to collect a little bit of your own data too. The example of this kind of reuse project is from the Collection School Evers study. The original study was conducted by Ray Paul in the late 1970s as part of a much wider community study on the Isle of Shepi. As part of the project, Paul asked teachers to set a particular essay just before students were due to leave school, prompting them to imagine that they were reaching the end of their life, and something made them think back to the time that they left school. They were then assigned to write a short essay of what happened in their life over the next 30 to 40 years. In 2009, Graham Crow, who's shown here with Ray Paul, and Don Lyon decided to reanalyze this data set and focus solely on student aspirations. Using the very same methodology, they conducted a re-study of school leavers on the Isle of Shepi in 2009. The prompt supplied to students in the 2009-2010 data collection was nearly the same. That was supplied to students in the 1970s, so imagine you're at the end of your life and reflect back on what you've done since leaving school. They then transcribed the essays and compared the themes from the new set of essays to the set of essays that had been collected by Ray Paul, and you can see the wording of the prompt here and a small snippet of one of those essays here. The findings are fascinating and show a difference in young people's aspirations after one generation, 40 years of time had passed. But how exactly were they different? Well, in 1978, students expected much more grounded in arguably mundane sorts of jobs. Career progression was gradual and followed on from hard work, and sometimes there was talks of periods of unemployment or even death. You can see a few examples in the left column of some of the quotations from those essays, such as the one at the bottom, I longed for something exciting and challenging, but yet again I had to settle for second best. I began working in a large clothes factory. The 2009-2010 essays, however, showed students imagining well-paid and instantaneous jobs filled with choice but also with some uncertainty. Crow and his research team also noted a clear influence of celebrity culture in these essays. So for example, you have the quote at the bottom of a girl who writes, in my future I want to become either a dance teacher, a hairdresser, or a professional show jumper horse rider. If I do become a dancer, my dream would be to dance for Beyonce or someone really famous. This study is a larger one than what might be realistic for a dissertation project. The goal was to engage the community alongside the research and find innovative ways of including participants in the research outputs. So as part of this initiative, they established the Living and Working on Shepi website, which helps create a shared history and memory of what living on the aisle of Shepi means for this community. While this would be an ambitious project to say the least for a dissertation, it is nevertheless a good example of how you can combine a bit of data collection and data reuse into one project. And for those who are doing something like a PhD, this is certainly something you could consider for your projects. For others, you can design a more feasible study with perhaps a smaller sample or different sorts of outputs. So hopefully you're now budding with ideas of what you want to look for in the archives or what kind of project you might be able to do reusing data. So if you could answer the poll, what kind of project do you think you might be interested in doing? And it's probably worth noting, of course, this is four different types of study design that you could do, but actually, you know, there are more than that, and there are much more creative uses of the data as well. So, you know, this don't feel constrained from what's presented here, but hopefully it just gives you some ideas. Okay, some of you are looking at the re-study. So combining a bit of your own data collection with a bit of reuse, a fair few comparative studies, definitely re-analysis, which again is probably the thing that most people think of when they think secondary analysis. Now, I just want to cover a few key ethical and methodological issues, but I do just want to check. If anybody has ever tried to download data before, certainly not a requirement to take part in this webinar by any means, but just to get a sense of anybody who has used the archives before. Okay, so a fair few of you have actually downloaded data before. Excellent. I won't go through a step-by-step of how to download the data, but I will sort of reference it. And there are other webinars that specifically talk about downloading data, and we have some video tutorials as well, if it's something that you do need help doing. What I'm going to do now is cover some key methodological issues and ethical issues. I'll cover the ethical issues first. This probably is going to be what you encounter first as you write a proposal for your dissertation project. Since you're not collecting data yourself, you'll find reuse projects actually have very few ethical considerations, comparatively speaking, and hopefully you wouldn't hit too many snags with ethical review boards. However, that doesn't mean that there aren't any ethical considerations, and one of the most important things to consider starts right at the point of access. How do you get a hold of the data? First, though, you know, well, when we're reusing data, that's in an established archive like the UK data service. We've taken a lot of pain out of that access point by negotiating licensing issues with the person who collected the data. So that usually means that you'll need to sign what's called the end-user license. So this is a legal document, and as such, it's probably about as exciting as any legal document you've seen. But there's two really important things to note about it. First of these is that there's no sharing of data onward, and that includes with your supervisor. If you need help with your analysis, and your supervisor needs to see the data, then he or she will need to separately register and download the data for themselves. The end-user license stipulates you cannot, under any circumstance, share data or your login details with anyone. Second golden rule. All the data that we hold has been anonymized already, which is, again, likely to be the case if you are reusing data from an archive. However, just because it's been anonymized doesn't mean that it's completely impossible to figure out identities of participants. Mark Elliott has some excellent YouTube tutorials which go through anonymization theory, but in short, he makes the argument that no anonymization strategy will be 100% effective, and if it were, it would deplete the value of the data itself. So consequently, should you inadvertently uncover identities of any of the participants from the data that you're reusing, then this document you signed says that you will not reveal that identity to anybody. Okay, so, like I say, it's already anonymized, but if you did figure out an identity somehow, then you are signing something that says that you won't share that identity with anyone else. So those are the key issues to recognize when signing the end-user license, but what if you're reusing data from another source? So, for example, I supervised a student who was reusing data that was collected by schools, so she sought permission to use it first and foremost. She spoke with the person who controls the data, the head of school, and also sought information about what people were told when the data was collected. So in this case, they were told it was possible the data would be used by third parties. There's no access agreement like you would see from an archive, but she had done her due diligence to ensure that she was able to reuse the data for a new purpose, and she clearly specified in her proposal that she would not share the data onward and she would keep identities anonymous. So if you are looking to reuse data from online sources, so perhaps there's an online repository, you should definitely look into the terms and condition agreements that would have been signed by those whose data was collected. Check if there's anything else you would need to consider before reusing the data. Another angle you might want to look at is if the data is discoverable and open. So if you don't need special access conditions such as registration in order to see it, you know, if it's open access in that kind of way, then you can probably make an argument that, you know, as something that's openly available, you can reuse that data. Whatever the access agreement is though, it's probably a good idea to ensure that you won't share the data onward without permission and that you will endeavor to keep identities anonymous. Once you have sorted out the access, then you need to ensure that you're citing the data. So in short, citing archived data helps data creators track the impact of their study. It also supports reproducibility and it makes it easier to find the data you use for your project. The issue is so important that the UK Data Service actually has its own page on the website which goes into a little bit more detail about data citation and it will also help explain why it's an important ethical issue. With the UK Data Service, it's really easy to do data citation because you're already supplied with the citation that you need on the catalog page. So if you look at the catalog pages, you'll find a citation and copyright section and you can literally just copy paste that. This is a little bit trickier when the data that you're reusing is not actually archived. You won't have a preformed citation. So for example, my student reusing the school data didn't have the sort of thing that she could just copy paste. Nevertheless, she did have the organization who collected it when it was published to the system, what system it was stored on. So all she had to do was follow the citation guidelines for the referencing system that was used by our university and make a citation for that data set. If you've pulled your data from online sources, again, you'll need to find out who collected the data, what year it was published online, and any URL or DOI that might help locate the data. And that citation would then end up in your reference list. So you've got access, you've sorted out your citation, now comes actually doing secondary analysis. And the first thing you need to do, whether you're reusing quantitative data or qualitative data, is to orient yourself to the project. And I think the main point to make here is to not underestimate the amount of time that it would take to get acquainted with the data set. There may be multiple levels of context to get through in order to really understand the data. And what I mean by that is you may have more than just the data that's collected at the time of the interview or the data collection to actually consider. You may need to start thinking about the basic social characteristics of the participants, perhaps the historical time period in which the data was collected, or perhaps the location where the data was actually collected. So really the idea is that you need to understand the data set as a whole in order to really get at the root of what that data can convey. Every collection archived at the UK Data Service comes with some kind of documentation provided with the data set. And that is a really useful starting point for that. It often contains much more information about the methodology such as it could have an interview schedule, it could have a call for participants, or sometimes it includes segments from publications arising from the original study, or I've also seen funding applications included. Sometimes, however, the documentation isn't always readily available. So for example, April Galway, her research for her PhD explored identities of single mothers between 1945 and 1990, and she used the Millennium Memory Bank collection at the British Library. In her publication, which is shown here, she explains that context, so understanding how the data was collected, how each interview went, and the basic demographic details of each interviewee were imperative to validly analyze the data. The Millennium Memory Bank has over 6,000 short oral history interviews within it. So they were conducted by the BBC for a radio show Voices of the Century at the end of the Millennium. However, there was very little accompanying literature and no metadata. And metadata is basically data which describes the interviewees and summarizes the interview. So as part of her project, she then pieced together that information herself by interviewing those who were involved in making and curating the collection. In her publication shown here, she makes the final points that we should view oral history, and I would say arguably many types of data, as an ongoing creative project which goes far beyond just the initial recording. This exploration into its creation, the contextualization, the reanalysis, is just as important as the original analysis of the data. And this process of recontextualization helps you put that data in perspective and ensure that you have a full appreciation of the limitations and the opportunities of the data. In addition to the context of the data, you may also need to consider the sample. So for example, if the data set is too large, you may need to take a subsample, or you might be interested in a particular subgroup of the population. The UK is really good at collecting data on its own population, so there's several longitudinal studies which regularly collect data from a representative sample of the UK. If you're looking to draw conclusions about the UK as a whole, these surveys are a great place to look, but you'd have a lot of data to work with. Qualitative collections tend to be smaller anyways, but many of the archive data sets are funded, and therefore they collected a considerable amount of data. For small dissertation projects, you may want to, you know, be realistic and decide if you want to limit the number of participants to a smaller subsample of those larger collections. So for example, the Edwardians collection, which was put together by Paul Thompson, and it was widely considered to be the first oral history of Britain, contains 453 80-page or longer interviews. Conversely, most dissertation projects probably have an expectation of, you know, maybe six to ten interviews, so you would need a clear sampling strategy, basically, to help you choose which interviews to look at. You might also want to combine data from different collections that complement each other. So remember, you know, it would take a really long time to sift through and find different pieces of different data sets to pull together, but that is another possibility. If you feel the data all speaks to the same topic and the same research question, and you've done the work needed to actually harmonize the data to make sure that it's comparable to each other. And the last point that I want to talk about before starting to wrap up here is the write-up itself. So you've probably covered extensively how to describe and write up reports when you've collected data yourself. However, it does get a little bit more complicated with secondary analysis. So for a dissertation, you'll need to describe your research process and that method in detail, so secondary analysis and what it is. But then you also need to describe the data and the details of how that was collected. So essentially, you're describing both your method and the methods of primary investigators of the data set you're using. And there's no single way of doing this, but I would offer the following advice. Keep the focus on your method, secondary analysis. It gets confusing describing the method and the method of the data, but that's the task at hand basically, and you need to remember that your method is secondary analysis. So for example, this study on loan mothers has a section for describing secondary analysis, followed by another section giving the background of the data set that was reused. Often with quantitative data sets where reuse is much more common, you'll find that these jump right into describing the data before moving on to sampling and statistical tests of secondary analysis. But it might not actually even be titled secondary analysis. So it's really important you discuss with your supervisors what the expectations are for describing your methods. It may be that they want a more in-depth critical discussion of secondary analysis as a method, or they may want the emphasis on describing the data set and the methods used to collect the data. So your supervisor will know the assessment criteria, what kind of dissertation your markers will be looking for, and they'll be able to help you structure your write up of your methods chapter. Hopefully, this gives you a little bit of inspiration of a project that you could do and a good idea of what is entailed in doing a research project. This was just a quick overview, so I just wanted to recommend some further resources that will help you navigate through your research project. So there's a few publications which might be useful if you're doing a quantitative project. I highly recommend Anna Smith's book, Using Secondary Data in Educational and Social Research. There's also a chapter in Sage's handbook of social research method on secondary analysis of quantitative data sources. And we also have some data skills modules, which will help guide you through the steps of statistical analysis. For qualitative projects, there is a chapter in Silverman's qualitative research textbook on secondary analysis. And there's also a working paper series through the Timescapes archive. Karen Hughes and Anna Terrent have also recently published a handbook of qualitative secondary analysis. And finally, if you need more help with finding, accessing, or downloading data, then we have video tutorials which walk you through that process with step-by-step procedures.


What's going on guys welcome back to the channel critical overload here So we got a major update on the future of the halloween franchise here today I did a video like two months ago at this point giving you an update on what could possibly be on the way next for Michael Myers and Malika caught of course So Sena stealth again just to recap where we started off two months ago Sena stealth who again is a reliable scuba who's been right about Freaky Friday, too They were right about the Crystal Lake TV series They were right about Neff Campsons and Scream 6 and they continue to just be right once again with stuff like this coming out We're gonna get to that. Sena stealth put out this tweet two months ago Executive producer Malika Cod has already heard multiple pitches formal and informal about where to take the halloween franchise next But nothing is set in stone and any ideas will need to be shopped around to new studios distributors Blumhouse of course is out We already knew that and they said that a TV series is on the table now. This was two months ago back in July I've also already told you guys that one of the rumors that I've heard about Allegedly we are not going to be getting in Halloween for legacy sequel because of a feud That either has hopefully fizzled out or doesn't exist anymore Existed between Daniel Harris and Malika Cod. Maybe she necessarily doesn't even know about this But apparently Malika Cod himself does not have an interest in doing a Halloween for legacy sequel and apparently seems to be very bothered by Danielle's insistence on taking the franchise in that direction Also, he seems to not be in agreement with how she reacted or responded to quote-on-quote Jamie Lee Curtis's disrespect towards her at the Halloween ends premiere and the fact that she was seemingly trying to make that about herself He didn't like that because that was Jamie's night But that again is all an alleged rumor as to why that is one of the reasons We will not be getting a Halloween for legacy sequel if we get a Halloween for legacy sequel then that's fine with me But apparently that's off the table because of that alleged spat that happened between Malik or that spat and feud that allegedly existed between Malik and Danielle now today we got this article from bloody disgusting who confirmed what basically Senna Steff was saying So I'm gonna go over this whole thing last Halloween season marked the release of Halloween ends the final film in the three film trilogy From director David Gordon Green build is the final battle really this time between Laurie Stroud and Michael Myers Halloween ends wrapped up not only Gordon Green's sequel trilogy, but also universal in Blumhouse's time with the iconic or Franchise the sequel trilogy was produced by Blumhouse Productions and Reese and released in the theaters by Universal Pictures as part of a pact with Miramax and the ball is now back in Miramax's court So what's next for the Halloween franchise? Bloody disgusting can exclusively report that Miramax is actively shopping the rights to the Halloween franchise around Hollywood from what we understand There is a massive bidding war going on right now We're several different parties interested in vying for the chances to bring Michael Myers back to life Bloody disgusting sources have also indicated that Miramax is open to both film and television projects And they're currently taking offers from studios and streamers alike Everything is on the table at this time And it's ultimately up to Miramax to fill pitches and decide what is most appealing to them in the wake of Gordon Green's sequel trilogy last year's Halloween ends was a 13th installment in the Halloween franchise Which to date has never made its way onto the small screen Could Michael Myers returned with a tell could Michael Myers return with a television series Or is another feature film reboot next up on the menu only time will tell now I will say this this is a very exciting report It confirms the next direction that was again talked about from me and reported by Senate self two months ago at the time Being a rumor and again Senate stuff continues to prove themselves to be reliable We now know that Miramax is taking pitches There's an active bidding war going on to have the rights to bring Michael Myers back to life If they were to go down the TV series route I would only hope to see something that is still set around Michael Myers But maybe leaning more on the character of Dr. Loomis to carry it and not Michael Myers himself obviously because Michael Myers is supposed to be Mute not speak too much. We don't need to really dig into his childhood that much We can have some encounters though with Myers and Loomis with the story being told mostly through the eyes of Loomis and kind of Seeing Michael's grow. We can see how he's spending his time. It's miss Grove But the person carrying the story shouldn't be Michael Myers It should be Dr. Loomis and it can build towards a season where he finally escapes Maybe do something like that maybe start off as this psychological drama that escalates into a very successful slasher season Maybe in its second season not the first one like the first one I could see you probably committing it to Completely just dr. Loomis and his encounters with Michael Myers and his concerns about Michael Myers and the threat that he poses to the general public If he were to get out behind these out from behind these walls Which he ultimately will because it's again basically going to be retelling the story of Michael Myers through the lens of dr. Loomis that's the type of TV series I could see working find a very prominent and compelling actor to bring dr. Loomis back to life the way that Donald Pleasants did during his era rest in peace to him and Tell the story through that man's lenses and let us see these encounters that he had with Michael Myers when Michael Myers was a young boy Working your way up to his inevitable escape and toss in new characters. Don't give us Laurie Strode Don't give us any give us somebody completely new that becomes Michael's obsession when he breaks out In whatever year it is going to be set in you can set it in 1978 again if you would like to But I could see something like that working do a first season as a psychological drama Second season as a full-fledged slasher that set years later Myers was all grown up He escapes and he goes after a whole new crop of characters No reason to tell retail Laurie Strode story because we've already been there done that and you just concluded what is supposedly her final involvement In the series now if you were to revive the series with a film You can do a variety of different things Obviously to have me for legacy sequel while I would like to see that it would appear that that's off the table Although it could always still happen things could be patched out or hatched out between them too And we could get that or you could just do a completely different thing But in the same vein of a tv series just do it in a feature film a set it in the same universe Or different not the same universe, but different timeline same killer Michael Myers at the center of it He breaks out a smith grove returns home to Haddonfield give us a whole crop of new characters to center it around Setting it in the modern days could work too if you want to shake up the timeline of when Michael Myers was born And when he escapes you can do that too Play around with it that way have Michael Myers involved with social media and all that stuff Dig into that a little bit more. Obviously gen z could eat up that a little bit better than most I am gen z but I think that having some type of social media aspect involving Michael Myers more Prevalently because it wasn't as prevalent in the recent trilogy I think having a social media presence involving Michael Myers could be very compelling if done right Those are some of the possibilities that I'm thinking of obviously again the one option with Daniel Harris and her return completely off the table as of now from what I know and The tv show while I've seen people say that can't work I would argue that it could work it just depends on what you want to do And I know the other option that obviously still is possible is them doing an anthology series Whether that be in the form of a tv show or another feature film time will tell I personally will go out and predict that the next thing we get is going to be a tv show I say that just as someone who is seeing the success of the chucky tv show and the and the switch to the small screen for Jason that we're about to get I think that Michael is going to try to knock it out at the small screen level next I think that's going to be the next big thing that can become a hit for one of these major streaming platforms But obviously it'll probably be peacock because there were rumors about peacock working on a tv show But we'll see what happens. Let me know what you guys think about this down in the comment section below If you haven't already course make sure you subscribe turn on post notification in this video in the description I'll have links on my social media accounts. I'm on facebook twitter instagram You can message me there, of course I'm as any movies news or reviews like me to cover in the future and with all that in mind guys I will see you in the next video


W-E-A-F, New York. A pack of Avalon cigarettes, please. Yes, sir. Oh, just a moment, sir. Don't forget your change. You never guessed, but Avalon cost you less. Oh, why not always? King saying, welcome to Avalon time with greetings from Red Foley, Jeanette, Bill Davis, and the Avalon Orchestra, and the only man in radio who brags because he can read and write, Red Skelton. Thanks, Lord. Good evening, ladies and gentlemen. Say, Skelton, did you go to the Lewis and Roper fight? No, I didn't go. I don't think I missed much, either. I was talking to Roper, and he said he's sorry he went. I kind of feel sorry for Lewis, though. He don't get a fight much anymore, but at least he gets around. I used to be a fighter. Say, Skelton, you never fought in your life. Say, microphone, you're making so much noise I can't hear what I'm saying. You ain't missing anything. I feel great tonight. I've been out playing golf all day. I shot a 73. Boy, that's the toughest hole I ever played. Now, I really played 19 holes. There's only 18. I dug another one.  Good evening, folks. A little late there. I'm really a golfer. They called me the hazard kid. I was on the fairway once last season. I was in one bunker so long that a guy came around and handed me a paycheck. He thought I was working there. Every time I'd take a swing at the ball, I dug a hole deeper. I dug a hole so deep that I came up with a Chinese accent. On the third hole, my ball went right into a spinach pad. It took me eight strokes to get out of the rough each. On the tenth hole, I thought I saw a snake and I picked up a stick to hit it and I fainted. What I hit was a stick and what I picked up was a snake. On the eleventh hole, I got a birdie. Boy, I was kind of proud to. That's the first time I ever got a birdie without telling a joke. You know, I eat a lot of important people playing golf, though. I met Sally Rand. She plays a good game. In fact, she goes around in nothing.  Of course, I don't do it. I only read what's here on the paper. Well, I've been up here teeing off long enough, so I'll step aside and let Red Foley play through with a cowboy and the lady. Hit it down the fairway, fella. You've got a lot of nice people waiting to carry for you. The cowboy that was paid in by the way led there where the cowboy and the lady... It means a great deal to any smoker. Yes, it's practically the same as putting money into your pocket. Avalon cigarettes, highest quality cigarettes cost you three to five cents less per pack than other popular price brands. Think what that means, friends. It means you can have all the high quality you demand in your cigarettes and still save three to five cents on every pack. And make no mistake about it, that systematic saving of several cents on every pack of cigarettes you smoke means many, many dollars saved a year. Now, please get this point. You can pay more, but you can't get finer quality cigarettes than Avalons. They're 100% union made from the world's choices, Turkish and domestic tobaccos and blended with a skill that cannot be surpassed. You'd never guess they cost you less. You have everything to gain. So give Avalon's a trial tonight. For a little party. Now, maybe if we hurry, we can catch up with him. Yeah? Yeah, he and Miss Dillweiler right in front of the house now. Well, here we are. Boy, this is the kind of a house I've always dreamed about. So have I. Only I call them nightmares. Yeah. Well, it's home sweet home to me. Well, not so loud.  Yeah, well, wait till you get inside. You'll love it. It's got all the conveniences. Day and night burglar service, ventilated roof, hot and cold running water bugs. Do you call those conveniences? Sure. If I ask the landlord, he'll even put in a bathtub. Well, let's go in. Do you have a key? Yep. Next month, the landlord's going to put a door on the place. Come on, I'll step right into a real air-conditioned house. Air-conditioned? Ooh. You better send it back and have it reconditioned. Now, look here. You've said just about enough about my... What was that noise? That was my uncle upstairs.  In fact, he came home tonight reckless to the gill. He'll be roaming all over the house later. Where's that gang and hurry up and come with those presents? Presents? Well... Did you tell them this was your birthday? Well, not exactly. I didn't say it was my birthday. I hear a screwball celebrating two-day birthday this week. Can I help it if they... Well, see, all look, here comes the whole crowd together. Oh, hiya, Phil Davis. Hiya, skinny fans. Say, what kind of a tough neighborhood is this? I stepped into a drug store to get weighed and a scale chased me three blocks. Don't worry, Phil. Let me have your coat. Say, it's a nice-looking coat you got here. Yeah, it's all wool. And a yard wide. Well, here's a present I brought for you, skinny pants. Gee, Phil, you shouldn't have done it.  Say, I think I'll roam around the house, skinny pants, and see if I can find some grocery. Okay, Phil, if you find anything, let me know, will you? Oh, everybody eats like things are tree. Oh, Mr. Skelton, I believe. The landlord. You're just the guy I've been looking for. How did you find the house, Mr. Skelton? Well, I ride an hour on the bus, walk three miles, bush aside a few weeds, and there it is. But you have no complaints. I shouldn't wonder. Yeah, listen, I got plenty to complain about. The first thing is that breakfast nook. Why, that thing's so small, I gotta use condensed milk in my coffee. Oh, that's nothing at all. The last tenant swallowed an olive in that breakfast nook, and they had to operate to get him out. Then another thing, that roof leaks like a sieve. It does? Then I'll have to charge you $3 extra for a shower bath. You wouldn't dare. Another thing, that cellar's half full of water. That'll be $5 extra for a swimming pool. You better quit. You're complaining yourself right into bankruptcy. Oh, this is your pretty little secretary, I believe. My, but you're beautiful. Where did you get such big, rosy cheeks? My father used to be a glass blower. Well, I must be going now. I must be going. I want to sell a friend of mine a beach umbrella. I love to put over a shady deal. This guy's silly. Hey, how are you there, Scalton? How are you, Foley? Say, Scalton, here's a present for you. A nice pair of pajamas. Oh gee, thanks a lot, Foley. Say, by the way, do you have a charge account at Stacey's department store? Well, I know I haven't. Well, you have now. Say, Scalton, where's this? Well, just through that door, turn to your left and follow the clothes line. Tired. Kind of loose and limp. Oh, I took a bath tonight, and I can't do a thing with me. Well, here's your present, Mrs. Scalton. I don't know whether you'll like it or not, but I brought you a picture of me. Oh, Herky, that swell.  What else you bring? Good heavens. Why, why isn't the old clown mercenary? Say, how do you like my house, Herky? Well, I'm telling you one word simply fail me, so I'll use letter. P-U. Oh, listen, Herky, you may not know this, but one night George Washington slept here. He must have been plugged. And what's that hanging over the fireplace? That's my uncle. Well, I guess this is the linen closet. Yeah, but we keep the linen in the coal bin. In the coal bin? Yeah. Well, where do you keep the coal? We keep the coal in the china closet, and we keep the china in the bread box. Well, what do you keep in the linen closet? My uncle. All here's filthy, wealthy, and fullsy-walsy, all isn't this jowlsy-walsy just like tomorrow. Hey, skinny pants, what kind of a party is this anyway? Well, there's no food or cake or anything around here. Well, you fellas don't like cake, do you? Sure, we like it fine. Well, that's funny, it didn't bring any.  Oh, gee, I'm sorry, fellas. I forgot all about that.  Oh, now you're talking. Yeah, wait a minute. Let's see. One, two, three, four, five. I better make that a quart. I'll be right back. That's pretty nice, isn't it? Oh, say, fellas, I forgot to ask you about that quart. What'll it be? Chocolate or vanilla? Oh, wait, I'll do it. Sing's the play of lovers' lament. Be still, my heart. Be still. I can tell who's knocking at my door. Love has come to say that we must part. Be still, my ring of a drum. It bids him come and he must go. You're going to start that echo stuff again? Echo stuff again. I've got to make an announcement about Avalon cigarette. Avalon cigarette. You get the choices, Turkish and domestic tobaccos, that have been blended together with rare skill to give you an extra smooth, delightfully mild, thoroughly enjoyable smoke. I guess skeleton quits. Guess skeleton quits. Remember, friend? Remember, friend. Avalons are three to five cents less per pack than other popular price brands. Other popular price brands. But you'd never guess. They cost you less. I mean, you'd never guess. Well, I guess that finishes you and your echo, skeleton. Getting all mixed up there. So the next time, friends, ask for Avalon cigarettes. And don't forget your change. And don't forget your change. I'll fix this guy. What are you saying? Ladies and gentlemen. Ladies and gentlemen. I'm a nut. You said it. You think you're pretty smart, don't you? Smart guy. Well, just for that... Just for that red-bullying Avalon course, we'll give us a little more of this. A little sir echo. Carry on, will you, man? A little sir echo. Carry on. Skelton's ancestors, Robin Hood Skelton. Robin Hood Skelton and his band of merry men roam Sherwood Forest in England. As we look in on a silven glade, we find Robin blowing his horn. Little boy blue. Put that thing down before it explodes in your face. Verily, I need this horn to call my men. Verily. Well, they don't need one for what they're calling you. Yes. Blessing. Where are we at? The... The fine thing. If a guy can't practice on a horn out in the woods, where am I going to go? You're asking me. A lady. Yeah. Who am I supposed to rob today? The name's still well. Nobody. One of your spies just came in. He says the sheriff of Nottingham is out looking for you again. Wonder what a guy gets for a job like that. Oh, being sheriff, he's probably doing it for Nottingham. Well, uh, wish that guy had let me alone. All I ask is a chance to make a dishonest dollar. I don't think you'll ever spot me in the woods with my new Lincoln green suit. Hey, how do you like this green suit? Well, with those legs, all you need is a few warts, and you'll look like a frog. Yeah. Now let's get down to business. What'll I do with that bag of gold you stole from the arrow of... Clothes. Clothes. Hey, let's keep punching here. We're doing all right. The labs are coming good. The, uh, people, what'll I do with the money? You better give it to the orphans, the widows, and last year's sweepstake winners. And what about that letter you sent to Sir Crumpock? Do you mean that night letter? Yeah.  If he didn't send 5,000 pounds in gold, you were going to steal his wife? Yeah. Did he send it? No, but he says he's interested in your proposition. All right. Oh. What hole, Robin Hood? What hole, little John? The sheriff of Nottingham is now entering Sherwood Forest with 190 men. He can't. And I've only got 35 men. What's the matter?  No, but he's got me outnumbered. It's so bad that I'm afraid some of his men will get away. Chop down some of the trees. That'll hold them back. That's no good. As fast as we chop them down, they chop them up. What orders, little John?  Right. And I'll lick any man in the woods who says nay. Nay. The eyes have it. Motion is carried. I think you're scared of little John. What, Dame Stillwell?  I do. And you, little John, do you agree with Dame Stillwell when she says I'm scared of you? I do. Then I pronounce you men and one. Good to go. There you are, Robin Hood. Goodness me, I've been looking all over for you. Well, if it ain't Alan the Drool. And I certainly hope you've got a needle in thread I can borrow. Why? I want to take a tuck in Friar Tuck. Get that young whipper snapper. Let me add him. Friar Tuck. Oh, for goodness sake, Robin Hood, save me. Now, wait a minute, Friar Tuck. Take it easy. What's this all about? Well, good heavens, I just wanted him to help me find my arrow. Yeah, where was your arrow? Stuck in my, uh, my back. Well, can I help it if you look like a bone moose? It was an accident, Friar Tuck. Accident nothing. He's been sticking arrows in me as far back as the Inquisition. I'll let him go this time, Robin Hood, but I'll fix him if he keeps puncturing my dignity. Ah, you sure saved my hide from a tanning that time, Robin Hood? Yeah. And if there's anything I can do? Oh, go away. I'm busy. Go fly a kite. Go fly a kite? Yeah, get out of here, will you? What are we going to do about the sheriff, Robin Hood? You better station some of my arches in the trees. They can't climb trees. They keep falling out. Well, then let them stay on the ground. I can't have the people to say that Robin Hood has falling arches. Hand me my horn, Dame, still well, so I can call me Merry Men. Are you my trusty, yo men? Yes, yes. Soon we'll be going into action. My yo men? Yes, yes. Hey, wait a minute. What are a yes men or yo men? My sir, yo ain't kidding me. I know a rat when I say one.  Ready for action. Hey, somebody's taking the string from my bow. Yeah, the string is going for my bow, too. Oh, Robin Hood, look, I'm doing it. Who cares what you're doing? And I had an awful time getting the strings off the bow. Look, you took the strings off the bows? Well, for goodness sakes, didn't you tell me to go fly a kite? Ten cents plus city or state tax. We'd like to thank you for listening to Avalon Time. And next week, bring along a friend and try an Avalon. Thanks a lot. Tonight's show, and we cordially invite you to be with us next Saturday evening at the same time when the Brown and Williamson Tobacco Corporation will again present Avalon Time. Dell King speaking. Good night, everybody. We'll show you through the national broadcasting... ...full of a watch time.


President Biden is at the woke's beck and call, but he's not completely spineless. I don't want any part of this project, it's unconscionably fiendish. If he were, he'd be at the woke's beck or call. I will not suffer your insubordination. There has been a shocking decline in the quantity and quantity of your toadying, Whelan. You know, like the fact that the woke need to both beck and then call him, means he's at least a step up from the Disney Corporation. But, yeah, that's not saying much. And to be honest, the fact that they need to both beck and call him, it's probably just due to him missing the original beck. So they have to then follow it up with a slightly louder call. Do you hear me? Do you hear me? And I suspect they don't just yell at him the first time out of fear of giving him a heart attack. Everyone, I have a very dramatic announcement. So anyone with a weak heart should leave now. Goodbye. Uh, Professor. Oh, oh yes, the announcement. So the beck is like a wake up nudge. Wake up! So they can then tell them what to do with the call. No, no, no. Come here, no. You go in there. So the beck and calls like a 1-2 combo process. You will fall into line now.