WEBVTT 00:01.000 --> 00:05.000 Refining search results 00:07.000 --> 00:12.000 When you search for information, you get exactly what you search for. 00:12.500 --> 00:17.500 You can only get search results that contain the search words that you used. 00:18.000 --> 00:23.000 This means that search words are important: they are a way to talk to the database. 00:24.000 --> 00:31.500 You probably will have to modify your search terms and check your search strategy along the way. 00:32.000 --> 00:35.000 This is normal and part of the process of information seeking. 00:35.500 --> 00:40.000 This video shows situations where the search results aren't satisfactory. 00:42.000 --> 00:50.000 My topic is "job satisfaction". I've used dictionaries and thesauri to work on my search terms. 00:50.500 --> 00:53.500 I also have a mind map of the concepts that are related to my topic. 00:54.000 --> 00:58.000 I'll go ahead and try to find some articles. 01:08.000 --> 01:10.000 Quite a few results. 01:11.000 --> 01:21.500 Oh, right! Let's use phrase marks here to bind these words together. 01:22.000 --> 01:27.000 This makes the search more accurate. 01:32.000 --> 01:35.000 Well, that didn't do much in this case. 01:36.000 --> 01:41.500 I'll narrow the search: I'll choose peer-reviewed articles. 01:42.000 --> 01:52.000 Also, let's look at just the last five years. 01:58.000 --> 02:05.500 Another thing I can do is to choose that I want the search terms to appear in the articles' abstracts. 02:06.000 --> 02:11.000 That means they should be one of the main topics in the article. 02:12.000 --> 02:19.000 My topic is so broad, that the best thing I could do is actually come up with some more accurate search terms. 02:20.000 --> 02:25.500 The database, your topic and search terms all play a part when you are defining your search strategy. 02:26.000 --> 02:31.000 This is a big database, so I'll need more accurate search terms. 02:32.000 --> 02:45.000 I'm also interested in how the employee is "attached" to their job and what's the connection to job satisfaction. 02:47.000 --> 03:10.000 I'm not really sure what's the right word here, so I'll just have a go and see what comes up. 03:12.000 --> 03:16.000 Browsing the search results 03:17.000 --> 03:28.000 This seems interesting. Here are the words "embeddedness" and "commitment", I didn't think of these. 03:30.000 --> 03:40.000 "Embeddedness" is listed as a socioeconomic theory. Then there's "organizational commitment". 03:41.000 --> 03:47.000 So these are actually subject terms from the database's thesaurus. 03:48.000 --> 03:56.000 "Organizational embeddedness" and "affective commitment" are keywords. These all seem relevant. 03:57.000 --> 04:03.500 It seems I've found a relevant article, it's important that I add these concepts to my mind map. 04:04.000 --> 04:10.000 I should check the bibliography and see if the authors have other similar articles. 04:11.000 --> 04:15.000 Some databases also suggest similar articles. 04:17.000 --> 04:31.000 If I want to see articles that have cited this article, I can look it up in Google Scholar. 04:32.000 --> 04:38.500 To summarize, you're probably going to be modifying your searches a lot. 04:39.000 --> 04:47.000 What are effective search terms and how to limit the search results in each database? 04:48.000 --> 04:55.000 Don't get stuck with just one search term if it doesn't work, but use alternative and related concepts. 04:56.000 --> 05:06.000 Even though I'd already worked on the search terms, I ended up modifying them a lot and came up with new ones. 05:07.000 --> 05:15.000 I discovered new concepts by trying out different searches and found interesting articles.