=================================================== ** ** NEPS STARTING COHORT 4 - RELEASE NOTES a.k.a CHANGE LOG ** changes and updates for release NEPS SC4 4.0.0 ** (doi:10.5157/NEPS:SC4:4.0.0) ** =================================================== * Known Issues * - labels in version 4.0.0 are not yet completely translated to English for the CATI data sets; full translations will follow in an upcoming data release - an updated data manual is not yet published; please use the appropriate data manual from version 1.0.0 instead - a simplified, flat "Basics" data set file information is not yet integrated in the data; this will follow in an upcoming data release - variable "State of participation/attrition" [tx80220] erroneously does not reflect attrition of finally dropped out cases, they are categorized as "temporary drop out"; this will be fixed in an upcoming data release - competency data for wave 3 test "English as a foreign language" could not be delivered in due time by the responsible data editors; integration into the "xTargetCompetencies" data set will follow in an upcoming data release; this will also slightly affect "State of participation/attrition" [tx80220] if some respondents participated in testing, but not in the survey - PAPI variables containing the result of automated multi-answer coding suffer from an error in the recoding routine and are erroneously only filled with missing values; this will be fixed in an upcoming data release variables affected from this issue are: "Mother tongue" [t41000a] in the "pTargetPAPI" data set "Second language" [t410010] in the "pTargetPAPI" data set "Nationality" [t40115a] in the "pTargetPAPI" data set "Mother: Mother tongue" [t41010a] in the "pTargetPAPI" data set "Father: Mother tongue" [t41012a] in the "pTargetPAPI" data set Until a fix is released, information from the older SUF version 1.1.0 can be used by update-merging the information using the following Stata syntax (adjust file paths to your environment, where appropriate): . use "SC4_pTargetPAPI_D_4-0-0.dta" , clear . generate wave_w1=wave==1 . merge m:1 ID_t wave_w1 using "SC4_xTarget_D_1-1-0.dta" , keepusing(t41000a* t410010* t40115a* t41010a* t41012a*) /// assert(master match match_conflict) nogenerate update replace . drop wave_w1 - when generating variable "Global self-esteem" [t66003a_g1] in the pTargetCATI data set, variable "Global self-esteem: competence" [t66003d] erroneously had been ignored; t66003a_g1 can be re-generated using the following Stata syntax: * -------------------------BEGIN Stata------------------------------- nepsmiss t66003a t66003b t66003c t66003d t66003e t66003f t66003g t66003h t66003i t66003j tempvar t66003b_r t66003e_r t66003f_r t66003h_r t66003i_r rowmissings recode t66003b (1=5) (2=4) (3=3) (4=2) (5=1), generate(`t66003b_r') recode t66003e (1=5) (2=4) (3=3) (4=2) (5=1), generate(`t66003e_r') recode t66003f (1=5) (2=4) (3=3) (4=2) (5=1), generate(`t66003f_r') recode t66003h (1=5) (2=4) (3=3) (4=2) (5=1), generate(`t66003h_r') recode t66003i (1=5) (2=4) (3=3) (4=2) (5=1), generate(`t66003i_r') egen `rowmissings'=rowmiss(t66003a `t66003b_r' t66003c t66003d /// `t66003e_r' `t66003f_r' t66003g `t66003h_r' `t66003i_r' t66003j) egen `target_variable'=rowtotal(t66003a `t66003b_r' t66003c t66003d /// `t66003e_r' `t66003f_r' t66003g `t66003h_r' `t66003i_r' t66003j) if `rowmissings'==0 & wave==3 replace `target_variable'=-54 if wave!=3 label variable `target_variable' "Global self-esteem" replace `target_variable'=-55 if missing(`target_variable') * ---------------------------END Stata-------------------------------- -Wrong value label and variable label of variable h228002 which is erroneously equal to labels of variable h228000. Correct variable:School: number of schools of the same type in the vicinity Correct value label: number of schools These lables will be corrected. =================================================== * Changes introduced to NEPS:SC4 by version 4.0.0 * =================================================== General: - SPSS data sets now ship with the same "VARIABLE ATTRIBUTES" as Stata data sets' "characteristics" - metadata for all datasets has been revised and updated where appropriate - variables now ship with a characteristic 'NEPS_instname' attached in Stata datasets, reporting the variable name used in the survey - wave 3 and 4 data has been fully integrated into the data - several bugfixes and enhancements have been integrated into this new release, influencing various variables; only the most important ones are listed in this change log - meta data in all data sets have been revised and updated where appropriate - data from the first two surveys of persons leaving the school system for vocational education have been added (waves 3 and 4) - data from the third survey in the school system have been added (wave 3) CohortProfile: - a variable indicating the current type and track of school per class has been generated (t723080_g1) pTargetPAPI: - as wave 3 data makes this a panel dataset, the filename has changed from "xTarget" to "pTargetPAPI" - variables indicating migrational background (t400500_g1 through _g3) have been added spParentSchool: - as from wave 3 on there are several sources for biography episodes, those originating from the parent interview are prefixed by "Parent", changing the filename from "spSchool" to "spParentSchool" - the interview process in parent's interviews does not guarantee unique ids for parents; thus, the identifier in this dataset is no longer "ID_p", but the target person's "ID_t" spParentGap: - as from wave 3 on there are several sources for biography episodes, those originating from the parent interview are prefixed by "Parent", changing the filename from "spGap" to "spParentGap" - the interview process in parent's interviews does not guarantee unique ids for parents; thus, the identifier in this dataset is no longer "ID_p", but the target person's "ID_t" RepWeights: - replication weights have been transferred to a separate dataset "RepWeights" pEducator: - as wave 3 data makes this a panel dataset, the filename has changed from "xEducator" to "pEducator" pInstitution: - as wave 3 data makes this a panel dataset, the filename has changed from "xInstitution" to "pInstitution" pCourseClass: - as wave 3 data makes this a panel dataset, the filename has changed from "xCourseClass" to "pCourseClass" pCourseGerman: - as wave 3 data makes this a panel dataset, the filename has changed from "xCourseGerman" to "pCourseGerman" pCourseMath: - as wave 3 data makes this a panel dataset, the filename has changed from "xCourseMath" to "pCourseMath" =================================================== * Changes introduced to NEPS:SC4 by version 1.1.0 * =================================================== General: - metadata for all datasets has been revised and updated where appropriate CohortProfile: - variable 'Gender (plausible)' [tx29001] has been generated, reflecting all reported information from surveys of target persons in waves 1 and 2, parental interview and lists of students wave 1 and 2 (in this logical sequence, read: information given by target persons in wave 1 superseeding information given by target persons in wave 2, which is superseeding information from the parental interview and so on) - variable 'Year of birth (plausible)' [tx2900y] has been generated, reflecting all reported information from surveys of target persons in waves 1 and 2, parental interview and lists of students wave 1 and 2 (in this logical sequence, read: information given by target persons in wave 1 superseeding information given by target persons in wave 2, which is superseeding information from the parental interview and so on) - variable 'Month of birth (plausible)' [tx2900m] has been generated, reflecting all reported information from surveys of target persons in waves 1 and 2, parental interview and lists of students wave 1 and 2 (in this logical sequence, read: information given by target persons in wave 1 superseeding information given by target persons in wave 2, which is superseeding information from the parental interview and so on) - variable 'Data available: competency test subject' [tx80522] was erroneous and has been corrected, which also influences variable 'State of participation/attrition' [tx80220] - variables weight_design_std weight_design have been removed (moved to Weights, see below) xTarget: - variables 'Month of birth' [t70004m], 'Year of birth' [t70004y] and 'Gender child' [t700031] are now stored as wide variables (suffixes _w1 and _w2), reflecting the corresponding questions had been asked both in waves 1 and 2 - variable 'Gender (plausible)' [tx29001] has been added from CohortProfile (see detailed description there) - variable 'Year of birth (plausible)' [tx2900y] has been added from CohortProfile (see detailed description there) - variable 'Month of birth (plausible)' [tx2900m] has been added from CohortProfile (see detailed description there) - added string version of 'Idealistic/Realistic vocational aspirations: Preferred choice of career': [t31060a_O] [t31160a_O] - variable [DELIMITER1] has been generated, separating blocks of variables originating from basic questions and wave 1 questions - variable [DELIMITER2] has been generated, separating blocks of variables originating from wave 1 questions and wave 2 questions - ISEI-08: updated transcoding scheme implemented [tf00260_g14], [tf0029b_g14], [tf0021b_g14], [t31060a_g14], [t31160a_g14], [t731422_g14], [t731472_g14], [tf00070_g14], [tf0013b_g14] - slightly modified general transcoding scheme with minor consequence on all derived variables [*_g1 to *_g16] - recoding of language variables ([t41000a_*], [t41010a_*], [t41012a_*], [t410010_*]) has been revised and updated if necessary xParent: - ISEI-08: updated transcoding scheme implemented [p296402_g14], [p731904_g14], [p731954_g14] - slightly modified general transcoding scheme with minor consequence on all derived variables [*_g1 to *-g16] xEducator: - ISEI-08: updated transcoding scheme implemented [e537061_g14], [e537062_g14] - slightly modified general transcoding scheme with minor consequence on all derived variables [*_g1 to *-g16] xTargetCompetencies: - new variables for procedural metacognition [*_sc6] and L1-Targetpopulation [*_sc7] - 146 empty cases have been removed - datafile has been revised and missings were tagged more precisely Weights: - new datafile for weights has been generated. All weights previously stored in CohortProfile can be found here now. xTargetMicrom, xInstitutionMicrom: - new regional data (microm data) has been added