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In this paper the ship placement on the slipway and technology of longitudinal launching is analyzed along with conducted static calculation. The first part of the paper describes the longitudinal slipway with all of its equipment made for reception and placement of the particular type of ship. The second part of the paper is describing longitudinal launching of the ship with all of the critical moments during the launching. Every one of the critical positions of the ship is defined and the prevention discussed. Forces and moments of forces for every stage of the launching are calculated with the selected computer software and the static diagram is made and discussed for the particular ship.

Längsschnittforschung ist vielversprechend für die Erforschung von Stabilität und Wandel. Qualitative und quantitative Längsschnittforschung können im Rahmen eines Mixed-Methods-Designs kombiniert werden, um komplementäre, validere und nuanciertere Erkenntnisse zu erzielen. Aber Längsschnittforschung ist anspruchsvoller als Querschnittforschung, und die Kombination qualitativer und quantitativer Strategien in der Mixed-Methods-Längsschnittforschung (MMLR) vervielfacht diese Herausforderungen. Ich beginne diesen Beitrag damit, qualitative und quantitative Längsschnittforschung mit den jeweiligen Stärken und Herausforderungen zu konzeptualisieren. Dann skizziere ich Designoptionen und Implikationen für MMLR. Dabei beziehe ich mich auf traditionelle Designoptionen in Mixed Methods und Längsschnittforschung, z.B. Zeit und Zeitlichkeit, Priorität, Zweck, Stichprobenziehung, Datenerhebung, Auswertung, Interpretation und Präsentation. In MMLR haben diese Designdimensionen einen erweiterten Zeithorizont, weil sie in jeder Welle getroffen oder revidiert werden müssen/können. So möchte ich mit diesem Beitrag die Konzeptualisierung eines vielversprechende,n aber oft vernachlässigten Forschungsgebiets bereichern.

More longitudinal surveys, although time-consuming & costly, are being launched today than ever before. 2 factors account for their growth: (1) increasingly complex models for the basic analysis of soc processes, & (2) applied res requires a longitudinal approach-prediction or evaluation of results. This review is not conclusive but is a description of current practice in retrieving or locating mobile cases. Suggested sources are: postal services, telephone services, local & regional coordinators, R-help, public records, & private services. Special problems in follow-ups involve difficulties in proper identification. This problem could be solved by the universal assignment of Soc Security numbers. There is a need for exp'al res & future reports on devices used. AA.

AbstractA manpower planning model is presented that exploits the longitudinal stability of manpower cohorts. The manpower planning process is described. An infinite horizon linear program for calculating minimum cost manpower input plans is presented and found to have a straightforward solution in a great many cases and to yield an easily implemented approximation technique in other cases.

Relative effectiveness of diff ways to locate R's in a longitudinal study of Pa Ru-reared persons was assessed. By combining methods, current addresses were obtained in 1969-70 for all 320 S's using contacts in their 1947 & 1957 residence areas. Used alone, letters mailed to the 1957 addresses yielded current locations for about 50% of the sample. Long distance telephone calls to persons with the R's surname in both residence areas were over 80% successful. Visits to the communities were more costly, but also highly effective. The use of public records (marriage licenses, real estate transfers, & wills) yielded low success rates, less than 20% recovery. Generalization of results is discussed. AA.

It is common to all types of longitudinal data that one observes some social unit from at least two points in time. With such data several opportunities for analysis arise that are not present in cross-sectional data, for example, to study change processes and to account for unobserved variables in a more robust manner. There are many types of longitudinal data. I review some recent advances in analyzing two types: event histories and panel data. In Part I of this article I focus on seven recent advances in analyzing event history data: (i) techniques for dealing with unobserved explanatory variables, (ii) peculiarities of various sampling frames, (iii) time-aggregation bias, (iv) discrete time methods, (v) estimation procedures such as those based on Cox's partial likelihood, (vi) local hazard-rate models, and (vii) continuous state space models. In Part II of the article I focus on recent advances in analyzing panel data, with an emphasis on how panel data allows one better to take account of unobserved variables in the types of static relationships usually estimated with cross-sectional data.