Methodology Statement and Topline for iMediaEthics Poll on Transgender Use of Restrooms - iMediaEthics
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The poll includes telephone interviews with a nationally representative sample of 1,003 adults living in the continental United States. Telephone interviews were conducted by landline (503) and cell phone (500, including 326 without a landline phone). The survey was conducted by Princeton Survey Research Associates International (PSRAI). Interviews were done in English and Spanish by Princeton Data Source from May 5-8, 2016. Statistical results are weighted to correct known demographic discrepancies. The margin of sampling error for the complete set of weighted data is ± 3.6 percentage points.

The poll was sponsored by iMediaEthics, which designed the questions. It was funded by the Perry and Donna Golkin Foundation.

 

Final Topline Results

May 9, 2016

 

Total:1,003 adults age 18 and older
Margin of error: plus or minus 3.6 percentage points
Quarter sample A:251 adults age 18 and older
Margin of error: plus or minus 7.2 percentage points
Quarter sample B:255 adults age 18 and older
Margin of error: plus or minus 7.1 percentage points
Quarter sample C:257 adults age 18 and older
Margin of error: plus or minus 7.1 percentage points
Quarter sample D:240 adults age 18 and older
Margin of error: plus or minus 7.3 percentage points
Quarter sample E:224 adults age 18 and older
Margin of error: plus or minus 7.6 percentage points
Quarter sample F:285 adults age 18 and older
Margin of error: plus or minus 6.7 percentage points
Quarter sample G:223 adults age 18 and older
Margin of error: plus or minus 7.6 percentage points
Quarter sample H:271 adults age 18 and older
Margin of error: plus or minus 6.9 percentage points

 

INTERVIEW DATES: May 5-8, 2016

 

LANDLINE INTRODUCTION:

Hello, my name is _________________ and I’m calling for Princeton Survey Research. We’re conducting a study about some important issues today, and would like to include your household. [RANDOMIZE RESPONDENT SELECTION: May I please speak with the YOUNGEST ADULT MALE, age 18 or older, who is now at home? (IF NO MALE AT HOME NOW, ASK: May I please speak with the YOUNGEST ADULT FEMALE, age 18 or older, who is now at home?) / May I please speak with the YOUNGEST ADULT FEMALE, age 18 or older, who is now at home? (IF NO FEMALE AT HOME NOW, ASK: May I please speak with the YOUNGEST ADULT MALE, age 18 or older, who is now at home?)]

 

CELL PHONE INTRO:

Hello, I am ___ calling for Princeton Survey Research. We’re conducting a study about some important issues today. [IF RESPONDENT SAYS DRIVING/UNABLE TO TAKE CALL: Thank you. We will try you another time…]

 

CELL PHONE SCREENING INTERVIEW:

S1. Are you under 18 years old, OR are you 18 or older? [CONTINUE IF 18 OR OLDER; ALL OTHERS TERMINATE]

 

READ TO ALL CELL PHONE – INTRODUCTION TO MAIN INTERVIEW: If you are now driving a car or doing any activity requiring your full attention, I need to call you back later. The first question is…

 

Notes: Due to rounding, percentages may not add to 100%. An asterisk (*) indicates values less than 0.5%. Volunteered responses are indicated by (VOL.).

 

READ TO ALL: Next…

 

IM1. Have you heard of the term “transgender”?

%
Yes93
No6
(VOL.) Don’t know*
(VOL.) Refused0

 

IM2. And how well would you say that you personally understand what the term “transgender” means? [READ IN ORDER]?

%
Very well54
Fairly well33
Not too well6
Not at all 5
(VOL.) Don’t know1
(VOL.) Refused1

IM3A. Which of the following statements comes closer to your opinion? [READ IN ORDER]?

 

Based on quarter sample A (n=251)

%
Transgender people should be able to use public restrooms according to the gender with which they identify40
Transgender people should be required to use public restrooms only according to the biological sex on their birth certificate48
(VOL.) Don’t know8
(VOL.) Refused5

 

IM3A1. If transgender people are NOT allowed to use public restrooms according to the gender with which they identify, but are REQUIRED to use public restrooms only according to their biological sex, how upset would you be… [READ IN ORDER]

 

Based on quarter sample A restroom according to identity (n=108)

%
Very upset39
Somewhat upset21
Not too upset15
Not upset at all21
(VOL.) Don’t know2
(VOL.) Refused3

 

IM3A2. If transgender people ARE NOT required to use public restrooms only according to their biological sex, but are ALLOWED to use public restrooms according to the gender with which they identify, how upset would you be… [READ IN ORDER]

 

Based on quarter sample A restroom according to birth (n=110)

%
Very upset45
Somewhat upset21
Not too upset16
Not upset at all16
(VOL.) Don’t know1
(VOL.) Refused1

 

IM3B. Which of the following statements comes closer to your opinion? [READ IN ORDER]?

Based on quarter sample B (n=255)

%
Transgender people should be required to use public restrooms only according to the biological sex on their birth certificate34
Transgender people should be able to use public restrooms according to the gender with which they identify46
(VOL.) Don’t know12
(VOL.) Refused8

 

IM3B1. If transgender people ARE NOT required to use public restrooms only according to their biological sex, but are ALLOWED to use public restrooms according to the gender with which they identify, how upset would you be… [READ IN ORDER]

 

Based on quarter sample B restroom according to birth (n=86)

%
Very upset50
Somewhat upset15
Not too upset23
Not upset at all11
(VOL.) Don’t know1
(VOL.) Refused0

 

IM3B2. If transgender people are NOT allowed to use public restrooms according to the gender with which they identify, but are REQUIRED to use public restrooms only according to their biological sex, how upset would you be… [READ IN ORDER]

 

Based on quarter sample B restroom according to identity (n=119)

%
Very upset25
Somewhat upset31
Not too upset24
Not upset at all15
(VOL.) Don’t know1
(VOL.) Refused3

 

IM3C. Which of the following statements comes closer to your opinion? [READ IN ORDER]?

 

Based on quarter sample C (n=257)

%
Transgender people should be able to use public restrooms according to the gender with which they identify30
Transgender people should be required to use public restrooms only according to the biological sex on their birth certificate35
Or don’t you care either way?31
(VOL.) Don’t know3
(VOL.) Refused1

 

IM3C1. If transgender people are NOT allowed to use public restrooms according to the gender with which they identify, but are REQUIRED to use public restrooms only according to their biological sex, how upset would you be: [READ IN ORDER]

 

Based on quarter sample C restroom according to identity (n=79)

%
Very upset32
Somewhat upset27
Not too upset20
Not upset at all15
(VOL.) Don’t know6
(VOL.) Refused0

 

IM3C2. If transgender people ARE NOT required to use public restrooms only according to their biological sex, but are ALLOWED to use public restrooms according to the gender with which they identify, how upset would you be: [READ IN ORDER]

 

Based on quarter sample C restroom according to birth (n=99)

%
Very upset50
Somewhat upset24
Not too upset12
Not upset at all11
(VOL.) Don’t know2
(VOL.) Refused0

 

IM3D. Which of the following statements comes closer to your opinion? [READ IN ORDER]?

Based on quarter sample D (n=240)

%
Transgender people should be required to use public restrooms only according to the biological sex on their birth certificate34
Transgender people should be able to use public restrooms according to the gender with which they identify25
Or don’t you care either way?35
(VOL.) Don’t know4
(VOL.) Refused2

 

IM3D1. If transgender people ARE NOT required to use public restrooms only according to their biological sex, but are ALLOWED to use public restrooms according to the gender with which they identify, how upset would you be: [READ IN ORDER]

 

Based on quarter sample D restroom according to birth (n=82)

%
Very upset49
Somewhat upset33
Not too upset3
Not upset at all10
(VOL.) Don’t know1
(VOL.) Refused3

 

IM3D2. If transgender people are NOT allowed to use public restrooms according to the gender with which they identify, but are REQUIRED to use public restrooms only according to their biological sex, how upset would you be: [READ IN ORDER]

 

Based on quarter sample D restroom according to identity (n=62)

%
Very upset38
Somewhat upset30
Not too upset18
Not upset at all11
(VOL.) Don’t know3
(VOL.) Refused0

 

COMBINED RESULTS OF IM3 SERIES:

 

PUBLIC OPINION ON WHETHER TRANSGENDER PEOPLESHOULD BE ABLE TO USE RESTROOMS

OF GENDER THEY IDENTIFY WITH

Transgender people should use public restrooms according to:FORM A/B*FORM

C/D*

%%
Gender they identify with –  respondent upset if they can’t do that2517
Gender they identify with – respondent not upset if they can’t do that1810
No opinion/Don’t care1638
Sex on birth certificate – respondent not upset if they do use restrooms of gender they identify with14  8
Sex on birth certificate – respondent upset if they do use restroom of gender they identify with2727
*Form A/B was a forced-choice question, with no unsure option offered. Form C/D asked the same question, but included the option, “or don’t you care either way?”

 

IM4E. Do you think that decisions about which public restroom transgender people can use should be made by [READ IN ORDER]:

ASK IF GAVE RESPONSE:

IM5. Do you feel strongly about that, or not strongly?

 

Based on quarter sample E (n=224)

%
The Federal government22
Strongly18
Not strongly5
Don’t know/Refused0
Individual state governments22
Strongly15
Not strongly8
Don’t know/Refused0
The group or individuals who own the restroom44
Strongly33
Not strongly10
Don’t know/Refused2
(VOL.) Don’t know6
(VOL.) Refused6

 

IM4F. Do you think that decisions about which public restroom transgender people can use should be made by [READ IN ORDER]:

ASK IF GAVE RESPONSE:

IM5. Do you feel strongly about that, or not strongly?

 

Based on quarter sample F (n=285)

%
The group or individuals who own the restroom34
Strongly24
Not strongly10
Don’t know/Refused*
Individual state governments15
Strongly9
Not strongly6
Don’t know/Refused0
The Federal Government35
Strongly27
Not strongly8
Don’t know/Refused*
(VOL.) Don’t know9
(VOL.) Refused6

 

IM4G. Do you think that decisions about which public restroom transgender people can use should be made by [READ IN ORDER]:

ASK IF GAVE RESPONSE:

IM5. Do you feel strongly about that, or not strongly?

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Based on quarter sample G (n=223)

%
The Federal government15
Strongly12
Not strongly2
Don’t know/Refused*
Individual state governments21
Strongly15
Not strongly6
Don’t know/Refused0
The group or individuals who own the restroom29
Strongly22
Not strongly7
Don’t know/Refused*
Are you unsure? 31
(VOL.) Refused4

 

IM4H. Do you think that decisions about which public restroom transgender people can use should be made by [READ IN ORDER]:

ASK IF GAVE RESPONSE:

IM5. Do you feel strongly about that, or not strongly?

 

Based on quarter sample H (n=271)

%
The group or individuals who own the restroom32
Strongly22
Not strongly9
Don’t know/Refused1
Individual state governments9
Strongly5
Not strongly3
Don’t know/Refused0
The Federal Government18
Strongly14
Not strongly4
Don’t know/Refused0
Are you unsure? 34
(VOL.) Refused7

 

DEMOGRAPHICS

 

I have one last set of questions to help us better understand the people who took part in our survey.

 

SEX Respondent’s sex [DO NOT ASK]

%
Male49
Female51

 

EMPLOY Are you now employed full-time, part-time, or not employed?

%
Employed full-time45
Employed part-time10
Not employed44
(VOL.)Don’t know/Refused*

 

PAR Are you the parent or guardian of any children under 18 years of age?

%
Yes30
No70
(VOL.) Don’t know/Refused*

 

AGE What is your age?

%
18 to 2922
30 to 4931
50 to 6426
65 and older18
(VOL.) Refused3

 

EDUC What is the highest level of school you have completed or the highest degree you have received? [DO NOT READ]

%
Less than high school (Grades 1-8 or no formal schooling)4
High school incomplete (Grades 9-11 or Grade 12 with NO diploma)7
High school graduate (Grade 12 with diploma or GED certificate)30
Some college, no degree (includes some community college)18
Two year associate degree from a college/university12
Four year college or university degree/Bachelor’s degree16
Some postgraduate or professional schooling, no postgraduate degree1
Postgraduate or professional degree, including master’s, doctorate, medical or law degree11
Don’t know/Refused*

 

Summary: Race/Ethnicity

HISP Are you of Hispanic or Latino origin, such as Mexican, Puerto Rican, Cuban or some other Spanish background?

RACE What is your race? Are you white, black, Asian, or some other race? [IF RESPONDENT SAYS HISPANIC OR LATINO, PROBE: Do you consider yourself a WHITE (Hispanic/Latino) or a BLACK (Hispanic/Latino)?

%
White, non-Hispanic64
Total non-White34
Black, non-Hispanic12
Hispanic15
Asian/Pacific Islander, non-Hispanic3
Other, non-Hispanic4
(VOL.) Don’t know/Refused2

 

Summary: Income

INC Last year – that is, in 2015 – approximately what was your total family income before taxes? Just tell me when I get to the right category.

INC1 [IF “DON’T KNOW” OR “REFUSED”, ASK:] Keeping in mind that this is a completely confidential survey, can you please tell me if your total household income BEFORE taxes last year was over or under $75,000?

INC2 [IF UNDER $75,000, ASK:] was it over or under $50,000?

INC3 [IF UNDER $50,000, ASK:] was it over or under $30,000?

%
$75,000 or more28
$50,000 to under $75,00014
$30,000 to under $50,00019
Under $30,00029
Undesignated 9

 

REG Which of these statements best describes you? [READ IN ORDER]

%
Are you ABSOLUTELY CERTAIN that you are registered to vote at your current address71
Are you PROBABLY registered, but there is a chance your registration has lapsed, OR6
Are you NOT registered to vote at your current address?20
(VOL.) Don’t know/Refused2

 

PARTY In politics TODAY, do you consider yourself a Republican, Democrat, or Independent?

%
Republican 25
Democrat 33
Independent 35
(VOL.) No preference4
(VOL.) Other party1
(VOL.) Don’t know/Refused1

 

That completes the interview. Thank you very much for your time and cooperation. Have a nice day/evening.

 

 

###

Methodology

May 2016 Omnibus Week 1

Prepared by Princeton Survey Research Associates International

May 2016

 

The PSRAI May 2016 Omnibus Week 1 obtained telephone interviews with a nationally representative sample of 1,003 adults living in the continental United States. Telephone interviews were conducted by landline (503) and cell phone (500, including 326 without a landline phone). The survey was conducted by Princeton Survey Research Associates International (PSRAI). Interviews were done in English and Spanish by Princeton Data Source from May 5-8, 2016. Statistical results are weighted to correct known demographic discrepancies. The margin of sampling error for the complete set of weighted data is ± 3.6 percentage points.

Details on the design, execution and analysis of the survey are discussed below.

DESIGN AND DATA COLLECTION PROCEDURES

 

Sample Design

 

A combination of landline and cellular random digit dial (RDD) samples was used to represent all adults in the continental United States who have access to either a landline or cellular telephone. Both samples were provided by Marketing Systems Group (MSG) according to PSRAI specifications.

Numbers for the landline sample were drawn with equal probabilities from active blocks (area code + exchange + two-digit block number) that contained one or more residential directory listings. The cellular sample was not list-assisted, but was drawn through a systematic sampling from dedicated wireless 100-blocks and shared service 100-blocks with no directory-listed landline numbers.

Contact Procedures

Interviews were conducted from May 5-8, 2016. As many as three attempts were made to contact every sampled telephone number. Sample was released for interviewing in replicates, which are representative subsamples of the larger sample. Using replicates to control the release of sample ensures that complete call procedures are followed for the entire sample. Calls were staggered over times of day and days of the week to maximize the chance of making contact with potential respondents. Each phone number received at least one daytime call when necessary.

For the landline sample, interviewers asked to speak with the youngest adult male or female currently at home based on a random rotation. If no male/female was available, interviewers asked to speak with the youngest adult of the other gender. This systematic respondent selection technique has been shown to produce samples that closely mirror the population in terms of age and gender when combined with cell interviewing. Prior to dialing, the landline sample was scrubbed of numbers that have been ported to wireless service by comparing the sample file to the most recently available Intermodal Ported Telephone Number Identification Service database.

For the cellular sample, interviews were conducted with the person who answered the phone. Interviewers verified that the person was an adult and in a safe place before administering the survey.

WEIGHTING AND ANALYSIS

 

Weighting is generally used in survey analysis to compensate for sample designs and patterns of non-response that might bias results. The sample was weighted to match national adult general population parameters. A two-stage weighting procedure was used to weight this dual-frame sample.

The first stage of weighting corrected for different probabilities of selection associated with the number of adults in each household and each respondent’s telephone usage patterns. This weighting also adjusts for the overlapping landline and cell sample frames and the relative sizes of each frame and each sample.

This first-stage weight for the ith case can be expressed as:

WTi=[(SLLFLL×1ADi×LLi)+(SCPFCP×CPi)(SLLFLL×1ADi×LLi×SCPFCP×CPi)]-1

 

Where SLL = the size of the landline sample

FLL = the size of the landline sample frame

SCP = the size of the cell sample

FCP = the size of the cell sample frame

ADi = Number of adults in household i

LLi=1 if respondent has a landline phone, otherwise LL=0.

CPi=1 if respondent has a cell phone, otherwise CP=0.

 

The second stage of weighting balanced sample demographics to population parameters. The sample is balanced to match national population parameters for sex, age, education, race, Hispanic origin, region (U.S. Census definitions), population density, and telephone usage. The basic weighting parameters came from the US Census Bureau’s 2014 American Community Survey data. The population density parameter was derived from Census 2010 data. The telephone usage parameter came from an analysis of the January-June 2015 National Health Interview Survey.

Weighting was accomplished using SPSSINC RAKE, an SPSS extension module that simultaneously balances the distributions of all variables using the GENLOG procedure. Weights were trimmed to prevent individual interviews from having too much influence on the final results. The use of these weights in statistical analysis ensures that the demographic characteristics of the sample closely approximate the demographic characteristics of the national population. Table 1 compares weighted and unweighted sample distributions to population parameters.

 

Table 1: Sample Demographics
ParameterUnweightedWeighted
Gender
Male48.350.248.9
Female51.749.851.1
Age
18-2412.99.613.1
25-3417.610.516.0
35-4416.711.716.7
45-5417.817.618.2
55-6416.418.916.8
65+18.631.719.1
Education
HS Grad or less40.731.340.8
Some College/Assoc Degree31.529.130.6
College Graduate27.839.628.6
Race/Ethnicity
White/not Hispanic65.372.765.9
Black/not Hispanic11.89.511.5
Hispanic15.312.215.3
Other/not Hispanic7.65.77.3
Region
Northeast18.221.018.4
Midwest21.321.621.3
South37.636.437.8
West22.920.922.5
County Pop. Density
1 – Lowest19.922.320.1
220.023.020.3
320.118.320.1
420.019.620.1
5 – Highest20.016.719.4
Household Phone Use
LLO6.25.46.2
Dual43.162.144.1
CPO50.732.549.8

 

Effects of Sample Design on Statistical Inference

Post-data collection statistical adjustments require analysis procedures that reflect departures from simple random sampling. PSRAI calculates the effects of these design features so that an appropriate adjustment can be incorporated into tests of statistical significance when using these data. The so-called “design effect” or deff represents the loss in statistical efficiency that results from unequal weights. The total sample design effect for this survey is 1.34.

PSRAI calculates the composite design effect for a sample of size n, with each case having a weight, wi as:

 

In a wide range of situations, the adjusted standard error of a statistic should be calculated by multiplying the usual formula by the square root of the design effect (√deff ). Thus, the formula for computing the 95% confidence interval around a percentage is:

 

where is the sample estimate and n is the unweighted number of sample cases in the group being considered.

The survey’s margin of error is the largest 95% confidence interval for any estimated proportion based on the total sample— the one around 50%. For example, the margin of error for the entire sample is ±3.6 percentage points. This means that in 95 out every 100 samples drawn using the same methodology, estimated proportions based on the entire sample will be no more than 3.6 percentage points away from their true values in the population. It is important to remember that sampling fluctuations are only one possible source of error in a survey estimate. Other sources, such as respondent selection bias, questionnaire wording and reporting inaccuracy, may contribute additional error of greater or lesser magnitude.

 

RESPONSE RATE

 

Table 2 reports the disposition of all sampled telephone numbers ever dialed from the original telephone number samples. The response rate estimates the fraction of all eligible sample that was ultimately interviewed. Response rates are computed according to American Association for Public Opinion Research standards. Thus the response rate for the landline samples was 6 percent. The response rate for the cellular samples was 7 percent.

 

Table 2. Sample Disposition
LandlineCell
1,767157Non-residential/Business
508—-Cell in landline frame
2,275157OF = Out of Frame
29,4313,390Not working
9827Computer/fax/modem
30,4133,397NWC = Not working/computer
2,817339NA/Busy
02,614VM not set up / out of range
2,8172,953UHUONC = Non-contact, unknown if household/unknown other
3,8133,841Voice mail
2816Other non-contact
3,8413,857UONC = Non-contact, unknown eligibility
2,7533,278Refusals
684389Callbacks
3,4373,667UOR = Refusal, unknown if eligible
2040O = Other
—-260Child’s cell phone
—-260SO = Screen out
94170R = Refusal, known eligible
503500I = Completed interviews
43,40015,001T = Total numbers sampled
19.5%70.5%e1 = (I+R+SO+O+UOR+UONC)/(I+R+SO+O+UOR+UONC+OF+NWC) – Est. frame eligibility of non-contacts
100.0%72.0%e2 = (I+R)/(I+R+SO) – Est. screening eligibility of unscreened contacts
48.0%43.8%CON = [I + R + (e2*[O + UOR])]/[I + R + (e2*[O + UOR + UONC]) + (e1*e2*UHUONC)]
12.4%15.0%COOP = I/[I + R + (e2*[O + UOR])]
87.6%85.0%REF = [R + (e2*[O + UOR])]/[I + R + (e2*[O + UOR])] = 1 – COOP
6.0%6.6%AAPOR RR3=I/[I+R+[e2*(UOR+UONC+O)]+[e1*e2*UHUONC]] = CON*COOP

 

Read the poll here.

 

UPDATED: 6/24/2016 12:35 PM

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Methodology Statement and Topline for iMediaEthics Poll on Transgender Use of Restrooms

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