Farmors farmor

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Manntall 1663-66: Gudbrandsd. og Hedemrk. amt: Opsidder Christeopher Ellingsøn, 68 år på KaarsruudSkifte etter han på Korsrud 24 Okt 1683122. Engebret Olsen Storhove, født ca 1631 på Storhove i Fåberg, Oppland, folketelling 1665 på Storhove iFåberg, Oppland, skifte 1 Sep 1680 på Storhove i Fåberg, Oppland.Manntall 1663-66: Gudbrandsd. og Hedemrk. amt: Sønn Engelbret Olsen, 34 år (Rytter), på HoffuinSkifte etter han på Storhove 1 Sep 1680Gift før 1666, med Gunhild Mortensdtr. Dahl.123. Gunhild Mortensdtr. Dahl, født på Dahl nedre i Fåberg, Oppland, skifte 5 des 1711 på Storhove i Fåberg,Oppland.Skifte etter henne på Vormstuen i Fåberg 5 Des 1711(1) Gift før 1666, med Engebret Olsen Storhove, født ca 1631 på Storhove i Fåberg, Oppland, folketelling1665 på Storhove i Fåberg, Oppland, skifte 1 Sep 1680 på Storhove i Fåberg, Oppland.(2) Gift ca 1680, med Ole Olsen.4. tipp-oldeforeldre128. Lars Olsen Melby, født 1603 på Melby i Biri, Oppland, folketelling 1666 på Melby i Biri, Oppland, død1677 på Melby i Biri, Oppland.Manntall 1663-66 for Hadelands prosti: År 1666 på Melby, Opsider Lauritz Oluffsøn, 63 årLensmann og stor jordeier i BiriHan giftet seg med Agnethe Nilsdtr. Aalstad.129. Agnethe Nilsdtr. Aalstad, født ca 1615 på Ålstad i Vang, Hedmark, død ca 1678 på Melby i Biri, Oppland.130. Ole Amundsen Båberg, født 1614 på Båberg i Biri, Oppland, folketelling 1664 på Bratberg i Biri, Oppland,død før 26 Nov 1668 på Bratberg i Biri, Oppland.Manntallet 1666: Opsidder på Bratberg, 52 årSkifte etter han på Bratberg 22 Nov 1668(1) Han giftet seg med Magnhild Bårdsdtr. Bratberg, død før 22 Mai 1660 på Bratberg i Biri, Oppland.(2) Gift etter 1660, med Gjøa Gundersdtr. Røine.131. Magnhild Bårdsdtr. Bratberg, død før 22 Mai 1660 på Bratberg i Biri, Oppland.Skifte etter henne på Bratberg 22 Mai 1660136. Boye Fredriksen, født ca 1565 i Holstein, Tyskland, død 1640 i Kristiania.Forvalter på Foss gård i Aker138. Kristoffer Larsen Friis, født ca 1592 på Fyn, Danmark, død 3 okt 1667 i Ske i Bohuslän, Sverige.Sogneprest i Ske 1635Han giftet seg med Maren Kristensdtr..10
~Friederike RömerIf the M&E data is numeric, or produces answers of one discrete kind vs. another, then I have asuggestion that has worked for me when trying to encourage the participatory analysis(interpretation) of impact assessment data.• You introduce to participants a section of the report/survey: the questions that was asked• You ask the participants present to guess the aggregate response to this question, and tosay why they are making that particular prediction• You then show the participants the actual aggregate data• You then get a discussion going around any differences between people's predictions andthe actual data/responses. Why is the gap there, was the hypothesis wrong or was the datagathering method wrong? And what is the evidence or argument for either?This can generate some quite animated discussions. It can help get people into the habit of thinkingin terms of testable hypotheses.But it depends on being able to hold back the data until you have the event. If they have seen thedata already it won’t work.Rick Davies~I conducted a couple of similar processes with a group of staff that had varying levels of theoreticalunderstanding of development and M&E. Many had not finished high school. Other more seniorstaff had a university education. This was in Afghanistan. So this may seem over-simplified but itcould be spruced up for a more highly educated, articulate team.Here is what I did:Step one was to explain the whole analysis process to the team.Second, I separated the staff into focus-groups by area, because in the end we wanted geographicalanalysis of the data. We also separated men and women because we wanted gender analysis of thedata, and in some cases, teams who had worked on different sectoral projects worked together. Allin all we had five geographical groups who each did their analysis separately so they didn't have totravel to the central base, and each group had about three to five groups of say, women incomegeneratingprojects, men income-generating projects, women's education, men's education, andchildren's development, or whatever.Third, we explained to the teams (all in one room for each geographical area) how we were going tolook at the numbers and put it all together into one big story. Then, we were going to look at twothings: answers to specific questions (how many, how much, how, what, etc.) and then look at thegeneral topics that our beneficiaries talked about in their stories (in that order). Each sub-step ofthat process (creating a narrative, answering questions we asked at the beginning of the evaluation,and identifying themes) would take a special session.For the narrative, the group was to take their various data from individuals (how many chickens didyou get, how many do you have now, how much money did you make, blah blah) and add thenumbers together and do an average. We actually had to teach them to take averages and calculatepercentages- hopefully in Belgium that will not be necessary, hah, hah. Since each group only hadabout three quantitative questions for 50 or so people this was possible to do. Then they were todescribe, based on the stories each beneficiary had told them, what happened to most beneficiariesand what they did, i.e. an average story. So each group ended up with a small chart with sums,averages, and percentages.Then we all got together again and looked at the questions we had asked at the beginning of theevaluation: Did this benefit people? How? Who benefited most? Did we meet our goal of 50%having a raise in income? Did women benefit equally? Etc.Finally, after writing that down, we took a look at the stories (we called them "success stories" butthat was a little optimistic in some cases) and looked for common themes. We also chose the storiesthat we thought were the most interesting, people who had exceptionally terrible problems orachievements, and so on. Each focus-group chose three themes or topics that came up the most,
Page 3 and 4: Ved begravelsen i 1803: Md. Niels L
Page 5 and 6: 20. Knut Olsen Aurlien, født ca 16
Page 8 and 9: 60. Ole Bjørnsen, født ca 1681, d
Page 12 and 13: 256. Ole Pedersen Melby, død på M
Page 14 and 15: 978. Ole Larsen Munk Blakar, død f

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