East Bay Jewish Community Study - Jewish Federation of the ...

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Total RDD Listed Landline Listed Cell Wrong #/nsp 1,277 1,107 90 80 Not avail./duration of field period 671 642 15 14 Initial refusal 16,678 16,388 135 155 Non residential number 5,344 5,170 95 79 Non business number - - - - Callback to complete (dead) - - - - Qualified refusals/break offs 7 7 - - On Do not call list 3 2 1 Call limit reached 118,251 118,229 - 22 Total incomplete contacts (live/ last status) 149,734 143,235 4,158 2,341 No answer 117,347 116,356 766 225 Busy 3,803 3,736 58 9 Answering machine/voicemail 7,584 3,405 2,532 1,647 Callbacks (unspecified) 14,643 14,551 71 21 Scheduled callbacks 6,337 5,169 730 438 Callbacks to complete (live) 20 18 1 1 #NAME 17 15 1 1 Incidence 6.74 6 28 31 Virgin numbers 3,162 - 2,948 214 Attempts - #1 59,616 56,770 2,437 409 Attempts - #2 45,292 43,958 947 387 Attempts - #3 34,502 33,785 230 487 Attempts - #4 6,248 5,795 182 271 Attempts - #5 5,413 4,998 75 340 Attempts - #6 11,192 10,696 280 216 Attempts - #7 1,986 1,756 120 110 Attempts - #8 1,163 989 19 155 Attempts - #9 808 719 1 88 Attempts - #10+ 192 157 2 33 Mean Length of screen (for terminates) Mean Length of screen (for completes) Mean Length of main qx (for completes) Mean Length of full survey (for completes) 2.59227 5 2.55268 3 14.7047 6 17.2453 7 2.6 2.6 2.2 2.6657 2.2 2.2 14.9781 13.5 14.2 17.6438 15.6 16.4 104
Weighting and Imputation The data were weighted in two steps. First, the total data (including both Jewish and non- Jewish households) were weighted by gender, age, and region to reflect expected values derived from Census data. 23 The low weight coefficient was .776 and the high weight coefficient was 378. The coefficient of variation of weight was .967, which means the design effect from the weighting process was 1.97. 24 By weighting the total data set that reflects the general population to known values, we were able to get a more accurate estimate of the age distribution of Jewish individuals. In other words, we used the weighted total data set to help us set weighting parameters for the Jewish households in the data. Region It was necessary to weight region because we slightly oversampled regions with small Jewish populations. Region weights were derived using the dialing information from the RDD portion of the survey, which allowed us to calculate the incidence of Jewish households by region. These incidence calculations were combined with Census data to obtain the expected proportion of the Jewish population residing in each region. The data were then weighted to the correct regional proportions. Age We determined the need to weight the age distribution after an extensive review of the survey data, data from other Jewish surveys including the National Jewish Population Survey, 25 and the 2003 San Francisco Community survey, 26 and available Census data. Moreover, after weighting the total data set (including Jewish and non-Jewish households) to known Census targets, it was apparent that the unweighted age distribution among Jewish individuals skewed too old. This skew likely resulted from several factors that are inherent to all telephone survey research and some factors that are specific to research among Jewish populations. A few of these factors are listed below: Older women are among the most likely to pick up the telephone. We try to mitigate this effect by initially asking for the youngest male over the age of 18 in the household at the time. Cell phone penetration rates are considerably higher for younger people, and fewer and fewer young people use a landline telephone. We added a listed cell phone sample to try to address this concern. However, as mentioned previously, listed sample tends to under-represent younger, more mobile, and lower income populations. In this case, the listed cell sample did little to correct for the age imbalance. Employing a cell phone sample that uses an RDD process to derive cell phone numbers would have been the best way to reach more young people but proved to be prohibitively expensive, costing nearly $300 per interview for this population. 23 2010 US Census Data. ―2010 Census Breakdowns for Napa County and Alameda County‖ Accessed June 1, 2011. http://factfinder2.census.gov/main.html. 24 When we weight data, while we can reduce the biases due to sampling design and non-responses, the margin of errors of the estimates will be larger. The MOE we are reporting factors in this increase in sampling error by larger design effects. 25 ―Jewish Population in the United States‖ 2010. The estimate comes from a 2006 Informant or Internet update of a 1986 scientific study. 26 ―Jewish Community Study of San Francisco‖ 2003. Jewish Community Federation of San Francisco, the Peninsula, Marin and Sonoma Counties 105
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East Bay Jewish Community Study Pla
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The Jewish Federation of the East B
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Executive Summary The Jewish Commun
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• A plurality (33 percent) identi
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• Most parents who want to give t
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Among the smaller geographic areas
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Additional Estimates In addition to
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Demographic Characteristics of the
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The average household size in the E
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Figure 14: Income by Region Last ye
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Geography and Mobility A plurality
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Residents of the Oakland-Berkeley C
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Most residents, even those under ag
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Jewish Identification As a starting
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Overall, a plurality of East Bay Je
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Demographically, intermarried Jewis
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Jewish Identity There is a strong s
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Having a Jewish family is not the h
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Similarly, the practices of the int
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General Involvement More than 40 pe
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Synagogue and Organizational Member
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Synagogue membership is higher amon
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The highest level of synagogue memb
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Residents who belong to a Jewish or
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Informal Participation in Jewish Li
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Regionally, volunteers are distribu
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Those residents most likely to atte
Page 62 and 63: Spiritual event attendees are more
Page 65 and 66: Tzedakah in the Jewish Community A
Page 67 and 68: Financially, donors to Israel and n
Page 69 and 70: Geographically, Jewish Federation o
Page 71 and 72: Feelings about the Jewish Community
Page 73 and 74: A majority (54 percent) of intermar
Page 75: The most negative views held about
Page 78 and 79: Family Size Just over one-quarter o
Page 80 and 81: Although 42 percent of younger Jews
Page 82 and 83: Overall, a majority of Jewish paren
Page 84 and 85: Figure 72: Overall Contribution to
Page 86 and 87: This group already participates in
Page 88 and 89: The biggest barriers for those who
Page 90 and 91: Forty-one percent of younger Jews g
Page 92 and 93: Older and younger Jews also use a d
Page 94 and 95: “Jew-ish” in the East Bay Anoth
Page 96 and 97: Almost 90 percent think that helpin
Page 98 and 99: Although financially the ―Jew-ish
Page 100 and 101: More than half of the unaffiliated
Page 102 and 103: Unaffiliated Jews do not purport to
Page 104 and 105: Research Definitions A Jewish adult
Page 106 and 107: Figure 93: Redefined Regional Defin
Page 108 and 109: Figure 95: Screener Questions 100
Page 110 and 111: method for introducing cell phone s
Page 114 and 115: In general, the Jewish population s
Page 116 and 117: Figure 99: Breakoff Chart Age and G
Page 118 and 119: Figure 101: Sampling Error by Perce
Page 120 and 121: Appendix B: Demographic Study Frequ
Page 122 and 123: Q.19 I am going to read you a list
Page 124 and 125: Not Very/ Nt Too/ Impt Very Smwt To
Page 126 and 127: Q.51 Are you legally married, in a
Page 128 and 129: Q.57 (IF SINGLE, PARTNER BUT NOT LI
Page 130 and 131: Strng Smwt Smwt Strng DK/ Total Tot
Page 132 and 133: Q.82 How long have you lived in the
Page 134 and 135: Q.92 Which of the following orienta
Page 136: Q.9 How many landlines do you have
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