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<div id="descriptives" class="section level1 tab-content">
<h1>Descriptives</h1>
<p><span style="background:red;width:20px;height:20px;display:inline-block;"></span> Cycling women (not on hormonal birth control)</p>
<p><span style="background:black;width:20px;height:20px;display:inline-block;"></span> Women on hormonal birth control</p>
<pre class="r"><code>library(knitr)
opts_chunk$set(fig.width = 9, fig.height = 7, cache = T, warning = F, message = F, render = formr::pander_handler, error = TRUE)</code></pre>
<pre class="r"><code>source("0_helpers.R")
load("full_data.rdata")
hcfacet = facet_wrap(~ hormonal_contraception, labeller = as_labeller(c("0" = "Naturally cycling", "1" = "Hormonal contraception user")))</code></pre>
<div id="exclusion-criteria-participant-flow" class="section level2 tab-content">
<h2>Exclusion criteria, participant flow</h2>
<p>After this section, descriptives are only on women who are included.</p>
<div id="participant-flow" class="section level3">
<h3>Participant flow</h3>
<pre class="r"><code>library(DiagrammeR)
load("pipeline.rdata")
consort = with(pipeline,
paste0('graph TB
start["Participants enrolled<br>
N=',signed_up,'"]
ineligible["Ineligible<br>
n=',ineligible,'"]
notfinish["Did not finish pre-survey<br>
n=',did_not_complete_pre_survey,'"]
eligible["Finished pre-survey<br>
n=',finished_pre_survey,'"]
horm_ineligible["Excluded n=',never_did_diary,' no diary entries,<br>
n=',pregnant,' pregnant, n=',infertile,' infertile,<br>
n=',sterilised,' sterilised,<br>
n=',fertility_not_estimable,' fertility not estimable"]
nc["Naturally cycling<br>
n=',naturally_cycling,'"]
hc["Using hormonal contraception<br>
n=',hc$HC_users,'"]
c_lax_ineligible["Excluded n=',older_than_40,' older than 40, <br>
n=',finished_post_survey,' did not finish study, <br>
n=',hc_users_broad,' used morning-after-pill, <br>
n=',breast_feeding,' breast-feeding, <br>
n=',pill_last_3m,' HC used in last 3m, <br>
n=',hormonal_medicine,' hormonal medication, <br>
n=',long_or_short_cycle,' cycle length not in 22-37 days, <br>
n=',guessed_hypothesis,' guessed a hypothesis, <br>
n=',laggards,' took more >70 days or <br>
interrupted for >10 days"]
c_lax["Included (lax)<br>
n=',criterion_lax,'"]
c_cons_ineligible["Excluded n=',heavy_smokers,' heavy smokers, <br>
n=',intensive_sports,' did intensive sports, <br>
n=',changed_contraception,' changed contraception,<br>
n=',broke_up,' broke up, n=',lost_more_than_8kg,' lost > 8kg, <br>
n=',BMI_lt_17,' BMI < 17, n=',BMI_gt_30,' BMI > 30, <br>
n=',confident_that_cycle_irregular,' irregular cycle (confident)"]
c_cons["Included (conservative)<br>
n=',criterion_conservative,'"]
c_strict_ineligible["Excluded n=',stressed,' stressed, <br>
n=',cycle_possibly_irregular,' possibly irregular cycle"]
c_strict["Included (strict)<br>
n=',criterion_strict,'"]
hc_lax_ineligible["Excluded n=',hc$older_than_40,' older than 40,<br>
n=',hc$finished_post_survey,' did not finish study, <br>
n=',hc$breast_feeding,' breast-feeding, <br>
n=',hc$long_or_short_cycle,' cycle length not in 22-37 days, <br>
n=',hc$guessed_hypothesis,' guessed a hypothesis, <br>
n=',hc$laggards,' took more >70 days or <br>
interrupted for >10 days"]
hc_lax["Included (lax)<br>
n=',hc$criterion_lax,'"]
hc_cons_ineligible["Excluded n=',hc$heavy_smokers,' heavy smokers, <br>
n=',hc$intensive_sports,' did intensive sports, <br>
n=',hc$changed_contraception,' changed contraception,<br>
n=',hc$broke_up,' broke up, n=',hc$lost_more_than_8kg,' lost > 8kg, <br>
n=',hc$BMI_lt_17,' BMI < 17, n=',hc$BMI_gt_30,' BMI > 30, <br>
n=',hc$confident_that_cycle_irregular,' irregular cycle (confident)"]
hc_cons["Included (conservative)<br>
n=',hc$criterion_conservative,'"]
hc_strict_ineligible["Excluded n=',hc$stressed,' stressed, <br>
n=',hc$cycle_possibly_irregular,' possibly irregular cycle"]
hc_strict["Included (strict)<br>
n=',hc$criterion_strict,'"]
start --> ineligible
start --> eligible
start --> notfinish
eligible --> hc
eligible --> horm_ineligible
eligible --> nc
nc --> c_lax
nc --> c_lax_ineligible
hc --> hc_lax_ineligible
hc --> hc_lax
c_lax --> c_cons
c_lax --> c_cons_ineligible
hc_lax --> hc_cons_ineligible
hc_lax --> hc_cons
c_cons --> c_strict
c_cons --> c_strict_ineligible
hc_cons --> hc_strict_ineligible
hc_cons --> hc_strict
classDef default fill:#fff,stroke:#000,stroke-width:1px
')
)
mermaid(consort, width = 1400, height = 900)</code></pre>
<div id="htmlwidget-b9f28bf7672e4bd0aa27" style="width:1400px;height:900px;" class="DiagrammeR html-widget"></div>
<script type="application/json" data-for="htmlwidget-b9f28bf7672e4bd0aa27">{"x":{"diagram":"graph TB\n start[\"Participants enrolled<br>\n N=1720\"]\n ineligible[\"Ineligible<br>\n n=259\"]\n notfinish[\"Did not finish pre-survey<br>\n n=253\"]\n eligible[\"Finished pre-survey<br>\n n=1208\"]\n\n horm_ineligible[\"Excluded n=54 no diary entries,<br>\n n=24 pregnant, n=5 infertile,<br>\n n=12 sterilised,<br>\n n=59 fertility not estimable\"]\n\n nc[\"Naturally cycling<br>\n n=429\"]\n\n hc[\"Using hormonal contraception<br>\n n=625\"]\n\n c_lax_ineligible[\"Excluded n=54 older than 40, <br>\n n=137 did not finish study, <br>\n n=2 used morning-after-pill, <br>\n n=6 breast-feeding, <br>\n n=14 HC used in last 3m, <br>\n n=25 hormonal medication, <br>\n n=10 cycle length not in 22-37 days, <br>\n n=21 guessed a hypothesis, <br>\n n=17 took more >70 days or <br>\ninterrupted for >10 days\"]\n\n c_lax[\"Included (lax)<br>\n n=143\"]\n\n c_cons_ineligible[\"Excluded n=4 heavy smokers, <br>\n n=6 did intensive sports, <br>\n n=0 changed contraception,<br>\n n=3 broke up, n=2 lost > 8kg, <br>\n n=3 BMI < 17, n=8 BMI > 30, <br>\n n=5 irregular cycle (confident)\"]\n\n c_cons[\"Included (conservative)<br>\n n=112\"]\n\n c_strict_ineligible[\"Excluded n=43 stressed, <br>\n n=12 possibly irregular cycle\"]\n\n c_strict[\"Included (strict)<br>\n n=57\"]\n\n hc_lax_ineligible[\"Excluded n=10 older than 40,<br>\n n=168 did not finish study, <br>\n n=2 breast-feeding, <br>\n n=28 cycle length not in 22-37 days, <br>\n n=19 guessed a hypothesis, <br>\n n=24 took more >70 days or <br>\ninterrupted for >10 days\"]\n\n hc_lax[\"Included (lax)<br>\n n=374\"]\n\n hc_cons_ineligible[\"Excluded n=10 heavy smokers, <br>\n n=18 did intensive sports, <br>\n n=14 changed contraception,<br>\n n=10 broke up, n=6 lost > 8kg, <br>\n n=7 BMI < 17, n=10 BMI > 30, <br>\n n=6 irregular cycle (confident)\"]\n\n hc_cons[\"Included (conservative)<br>\n n=293\"]\n\n hc_strict_ineligible[\"Excluded n=120 stressed, <br>\n n=12 possibly irregular cycle\"]\n\n hc_strict[\"Included (strict)<br>\n n=161\"]\n\n\n\n start --> ineligible\n start --> eligible\n start --> notfinish\n eligible --> hc\n eligible --> horm_ineligible\n eligible --> nc\n nc --> c_lax\n nc --> c_lax_ineligible\n hc --> hc_lax_ineligible\n hc --> hc_lax\n c_lax --> c_cons\n c_lax --> c_cons_ineligible\n hc_lax --> hc_cons_ineligible\n hc_lax --> hc_cons\n c_cons --> c_strict\n c_cons --> c_strict_ineligible\n hc_cons --> hc_strict_ineligible\n hc_cons --> hc_strict\n\nclassDef default fill:#fff,stroke:#000,stroke-width:1px\n"},"evals":[],"jsHooks":[]}</script>
</div>
<div id="exclusion-by-hormonal-contraception" class="section level3">
<h3>Exclusion by hormonal contraception</h3>
<pre class="r"><code>bar_count(xsection, included_levels)</code></pre>
<p><img src="2_descriptives_files/figure-html/unnamed-chunk-4-1.png" width="672" /></p>
<pre class="r"><code>bar_count(xsection, included_levels) + hcfacet</code></pre>
<p><img src="2_descriptives_files/figure-html/unnamed-chunk-4-2.png" width="672" /></p>
<pre class="r"><code>xtabs(~ dodgy_data + included_levels, data = diary)</code></pre>
<pre><code>## included_levels
## dodgy_data all lax conservative strict
## FALSE 10192 3655 6261 7465
## TRUE 577 158 204 217</code></pre>
<pre class="r"><code>xsection2 = xsection
xsection = xsection %>% filter(!is.na(included_all)) %>% mutate(duration_relationship_total = duration_relationship_total/12)
diary = diary %>% filter(!is.na(included_all))</code></pre>
</div>
</div>
<div id="data-collection" class="section level2">
<h2>Data collection</h2>
<p>First included participant enrolled on 2014-03-19, last participant enrolled on 2015-07-02. Last diary entry on 2015-12-03.</p>
</div>
<div id="tables" class="section level2">
<h2>Tables</h2>
<pre class="r"><code>options(digits = 2)
xsection %>%
select(age, religiosity, first_time, menarche, duration_relationship_total, cycle_length, number_sexual_partner) %>%
gather(variable, value) %>%
group_by(variable) %>%
filter(!is.na(value)) %>%
summarise(mean = form(mean(value), 1), sd = form(sd(value),1),
median = median(value),
min = min(value), max = max(value)) %>%
pander()</code></pre>
<pre><code>## Warning: attributes are not identical across measure variables;
## they will be dropped</code></pre>
<table style="width:93%;">
<colgroup>
<col width="41%" />
<col width="9%" />
<col width="9%" />
<col width="12%" />
<col width="8%" />
<col width="11%" />
</colgroup>
<thead>
<tr class="header">
<th align="center">variable</th>
<th align="center">mean</th>
<th align="center">sd</th>
<th align="center">median</th>
<th align="center">min</th>
<th align="center">max</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="center">age</td>
<td align="center">25.8</td>
<td align="center">6.9</td>
<td align="center">24</td>
<td align="center">18</td>
<td align="center">69</td>
</tr>
<tr class="even">
<td align="center">cycle_length</td>
<td align="center">28.4</td>
<td align="center">3.3</td>
<td align="center">28</td>
<td align="center">20</td>
<td align="center">40</td>
</tr>
<tr class="odd">
<td align="center">duration_relationship_total</td>
<td align="center">3.9</td>
<td align="center">4.6</td>
<td align="center">2.5</td>
<td align="center">0</td>
<td align="center">34.25</td>
</tr>
<tr class="even">
<td align="center">first_time</td>
<td align="center">16.9</td>
<td align="center">2.3</td>
<td align="center">17</td>
<td align="center">10</td>
<td align="center">29</td>
</tr>
<tr class="odd">
<td align="center">menarche</td>
<td align="center">13.0</td>
<td align="center">1.4</td>
<td align="center">13</td>
<td align="center">9</td>
<td align="center">19</td>
</tr>
<tr class="even">
<td align="center">number_sexual_partner</td>
<td align="center">7.2</td>
<td align="center">11.1</td>
<td align="center">4</td>
<td align="center">0</td>
<td align="center">150</td>
</tr>
<tr class="odd">
<td align="center">religiosity</td>
<td align="center">2.0</td>
<td align="center">1.1</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">5</td>
</tr>
</tbody>
</table>
<pre class="r"><code># options(digits = 4)
# xsection %>%
# select(age, religiosity, first_time, menarche, duration_relationship_total, cycle_length, number_sexual_partner) %>%
# gather(variable, value) %>%
# group_by(variable) %>%
# filter(!is.na(value)) %>%
# summarise(mean = round(mean(value),1), sd = round(sd(value),1),
# median = median(value),
# min = min(value), max = round(max(value))) %>%
# stargazer::stargazer(summary = FALSE, rownames = F, label = "Descriptive statistics", align = T, header = F, digits = 1, digits.extra = 1)</code></pre>
</div>
<div id="comparison-with-quasi-control-group" class="section level2 tab-content">
<h2>Comparison with quasi-control group</h2>
<pre class="r"><code>comps = data_frame(var = character(0),
`HC user - Mean (SD)` = character(0),
`Cycling - Mean (SD)` = character(0),
hedges_g = character(0),
p_value = character(0)
)</code></pre>
<pre><code>## Warning: `data_frame()` is deprecated, use `tibble()`.
## This warning is displayed once per session.</code></pre>
<pre class="r"><code>compare_by_group = function(var, data) {
sd_hc = sd(data[data$hormonal_contraception == 1,][[var]], na.rm = T)
sd_nc = sd(data[data$hormonal_contraception == 0,][[var]], na.rm = T)
data$hormonal_contraception = factor(if_else(data$hormonal_contraception == 1, "hormonal contraceptive user", "naturally cycling"))
comp = as.formula(paste0(var, " ~ hormonal_contraception"))
tt = t.test(comp, data = data)
print(tt)
eff = effsize::cohen.d(comp, data = data, hedges.correction = TRUE, na.rm = T, pooled = FALSE)
print(eff)
summary = data_frame(var = var,
`HC user - Mean (SD)` = paste0(form(tt$estimate[1], 1)," (", form(sd_hc, 1),")"),
`Cycling - Mean (SD)` = paste0(form(tt$estimate[2], 1), " (", form(sd_nc, 1), ")"),
hedges_g = form(eff$estimate),
p_value = pvalues(tt$p.value)
)
rownames(summary) = NULL
comps <<- bind_rows(comps, summary)
ggplot(data, aes_string(var, colour = "hormonal_contraception", fill = "hormonal_contraception")) +
geom_density(alpha = 0.3, size = 0) +
scale_color_manual("", values = c("naturally cycling" = "red", "hormonal contraceptive user" = "black"), guide = F) +
scale_fill_manual("", values = c("naturally cycling" = "red", "hormonal contraceptive user" = "black"), guide = F)
}</code></pre>
<div id="age" class="section level3">
<h3>Age</h3>
<pre class="r"><code>compare_by_group("age", xsection)</code></pre>
<pre><code>##
## Welch Two Sample t-test
##
## data: age by hormonal_contraception
## t = -10, df = 600, p-value <2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -6.0 -4.3
## sample estimates:
## mean in group hormonal contraceptive user mean in group naturally cycling
## 24 29
##
##
## Hedges's g
##
## g estimate: -0.61 (medium)
## 95 percent confidence interval:
## lower upper
## -0.74 -0.49</code></pre>
<p><img src="2_descriptives_files/figure-html/unnamed-chunk-7-1.png" width="672" /></p>
</div>
<div id="religiosity" class="section level3">
<h3>Religiosity</h3>
<pre class="r"><code>compare_by_group("religiosity", xsection)</code></pre>
<pre><code>##
## Welch Two Sample t-test
##
## data: religiosity by hormonal_contraception
## t = -0.09, df = 900, p-value = 0.9
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.15 0.13
## sample estimates:
## mean in group hormonal contraceptive user mean in group naturally cycling
## 2 2
##
##
## Hedges's g
##
## g estimate: -0.0053 (negligible)
## 95 percent confidence interval:
## lower upper
## -0.13 0.12</code></pre>
<p><img src="2_descriptives_files/figure-html/unnamed-chunk-8-1.png" width="672" /></p>
</div>
<div id="age-at-first-time" class="section level3">
<h3>Age at first time</h3>
<pre class="r"><code>compare_by_group("first_time", xsection)</code></pre>
<pre><code>##
## Welch Two Sample t-test
##
## data: first_time by hormonal_contraception
## t = 0.03, df = 800, p-value = 1
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.29 0.30
## sample estimates:
## mean in group hormonal contraceptive user mean in group naturally cycling
## 17 17
##
##
## Hedges's g
##
## g estimate: 0.0018 (negligible)
## 95 percent confidence interval:
## lower upper
## -0.12 0.13</code></pre>
<pre><code>## Warning: Removed 29 rows containing non-finite values (stat_density).</code></pre>
<p><img src="2_descriptives_files/figure-html/unnamed-chunk-9-1.png" width="672" /></p>
</div>
<div id="age-at-menarche" class="section level3">
<h3>Age at menarche</h3>
<pre class="r"><code>compare_by_group("menarche", xsection)</code></pre>
<pre><code>##
## Welch Two Sample t-test
##
## data: menarche by hormonal_contraception
## t = 0.7, df = 400, p-value = 0.5
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.17 0.35
## sample estimates:
## mean in group hormonal contraceptive user mean in group naturally cycling
## 13 13
##
##
## Hedges's g
##
## g estimate: 0.061 (negligible)
## 95 percent confidence interval:
## lower upper
## -0.12 0.24</code></pre>
<pre><code>## Warning: Removed 586 rows containing non-finite values (stat_density).</code></pre>
<p><img src="2_descriptives_files/figure-html/unnamed-chunk-10-1.png" width="672" /></p>
</div>
<div id="relationship-duration" class="section level3">
<h3>Relationship duration</h3>
<pre class="r"><code>compare_by_group("duration_relationship_total", xsection) + scale_x_sqrt(breaks = c(1,5, 10, 20, 30))</code></pre>
<pre><code>##
## Welch Two Sample t-test
##
## data: duration_relationship_total by hormonal_contraception
## t = -7, df = 600, p-value = 8e-13
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -2.9 -1.7
## sample estimates:
## mean in group hormonal contraceptive user mean in group naturally cycling
## 3.0 5.3
##
##
## Hedges's g
##
## g estimate: -0.38 (small)
## 95 percent confidence interval:
## lower upper
## -0.51 -0.26</code></pre>
<pre><code>## Warning: Removed 5 rows containing non-finite values (stat_density).</code></pre>
<p><img src="2_descriptives_files/figure-html/unnamed-chunk-11-1.png" width="672" /></p>
</div>
<div id="reported-cycle-length" class="section level3">
<h3>Reported cycle length</h3>
<pre class="r"><code>compare_by_group("cycle_length", xsection)</code></pre>
<pre><code>##
## Welch Two Sample t-test
##
## data: cycle_length by hormonal_contraception
## t = -5, df = 800, p-value = 0.0000001
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -1.56 -0.72
## sample estimates:
## mean in group hormonal contraceptive user mean in group naturally cycling
## 28 29
##
##
## Hedges's g
##
## g estimate: -0.31 (small)
## 95 percent confidence interval:
## lower upper
## -0.43 -0.19</code></pre>
<p><img src="2_descriptives_files/figure-html/unnamed-chunk-12-1.png" width="672" /></p>
</div>
<div id="reported-cycle-regularity" class="section level3">
<h3>Reported cycle regularity</h3>
<pre class="r"><code>jmv::contTables(
data = xsection,
rows = c( "cycle_regularity"),
cols = "hormonal_contraception", pcCol = T)</code></pre>
<pre><code>##
## CONTINGENCY TABLES
##
## Contingency Tables
## ──────────────────────────────────────────────────────────────────────────────────────
## cycle_regularity 0 1 Total
## ──────────────────────────────────────────────────────────────────────────────────────
## very regular,
## up to 2 days off Observed 198 503 701
## % within column 46.2 80.5
##
## slightly irregular,
## up to 5 days off Observed 142 73 215
## % within column 33.1 11.7
##
## irregular,
## more than 5 days off Observed 89 49 138
## % within column 20.7 7.8
##
## Total Observed 429 625 1054
## % within column 100.0 100.0
## ──────────────────────────────────────────────────────────────────────────────────────
##
##
## χ² Tests
## ───────────────────────────────
## Value df p
## ───────────────────────────────
## χ² 135 2 < .001
## N 1054
## ───────────────────────────────</code></pre>
</div>
<div id="number-of-sexual-partners" class="section level3">
<h3>Number of sexual partners</h3>
<pre class="r"><code>compare_by_group("number_sexual_partner", xsection) + scale_x_sqrt(breaks = c(1,5, 10, 20, 50, 100))</code></pre>
<pre><code>##
## Welch Two Sample t-test
##
## data: number_sexual_partner by hormonal_contraception
## t = -5, df = 600, p-value = 0.000004
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -5.1 -2.1
## sample estimates:
## mean in group hormonal contraceptive user mean in group naturally cycling
## 5.7 9.3
##
##
## Hedges's g
##
## g estimate: -0.24 (small)
## 95 percent confidence interval:
## lower upper
## -0.36 -0.12</code></pre>
<p><img src="2_descriptives_files/figure-html/unnamed-chunk-14-1.png" width="672" /></p>
</div>
<div id="extraversion" class="section level3">
<h3>Extraversion</h3>
<pre class="r"><code>compare_by_group("BFI_extra", xsection)</code></pre>
<pre><code>##
## Welch Two Sample t-test
##
## data: BFI_extra by hormonal_contraception
## t = -0.4, df = 900, p-value = 0.7
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.117 0.079
## sample estimates:
## mean in group hormonal contraceptive user mean in group naturally cycling
## 3.5 3.5
##
##
## Hedges's g
##
## g estimate: -0.024 (negligible)
## 95 percent confidence interval:
## lower upper
## -0.147 0.099</code></pre>
<p><img src="2_descriptives_files/figure-html/unnamed-chunk-15-1.png" width="672" /></p>
</div>
<div id="agreeableness" class="section level3">
<h3>Agreeableness</h3>
<pre class="r"><code>compare_by_group("BFI_agree", xsection)</code></pre>
<pre><code>##
## Welch Two Sample t-test
##
## data: BFI_agree by hormonal_contraception
## t = -0.2, df = 900, p-value = 0.8
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.080 0.065
## sample estimates:
## mean in group hormonal contraceptive user mean in group naturally cycling
## 3.6 3.6
##
##
## Hedges's g
##
## g estimate: -0.013 (negligible)
## 95 percent confidence interval:
## lower upper
## -0.14 0.11</code></pre>
<p><img src="2_descriptives_files/figure-html/unnamed-chunk-16-1.png" width="672" /></p>
</div>
<div id="neuroticism" class="section level3">
<h3>Neuroticism</h3>
<pre class="r"><code>compare_by_group("BFI_neuro", xsection)</code></pre>
<pre><code>##
## Welch Two Sample t-test
##
## data: BFI_neuro by hormonal_contraception
## t = 2, df = 900, p-value = 0.02
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.019 0.206
## sample estimates:
## mean in group hormonal contraceptive user mean in group naturally cycling
## 3.1 3.0
##
##
## Hedges's g
##
## g estimate: 0.15 (negligible)
## 95 percent confidence interval:
## lower upper
## 0.022 0.268</code></pre>
<p><img src="2_descriptives_files/figure-html/unnamed-chunk-17-1.png" width="672" /></p>
</div>
<div id="conscientiousness" class="section level3">
<h3>Conscientiousness</h3>
<pre class="r"><code>compare_by_group("BFI_consc", xsection)</code></pre>
<pre><code>##
## Welch Two Sample t-test
##
## data: BFI_consc by hormonal_contraception
## t = 2, df = 900, p-value = 0.02
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.016 0.185
## sample estimates:
## mean in group hormonal contraceptive user mean in group naturally cycling
## 3.6 3.5
##
##
## Hedges's g
##
## g estimate: 0.14 (negligible)
## 95 percent confidence interval:
## lower upper
## 0.02 0.27</code></pre>
<p><img src="2_descriptives_files/figure-html/unnamed-chunk-18-1.png" width="672" /></p>
</div>
<div id="openness" class="section level3">
<h3>Openness</h3>
<pre class="r"><code>compare_by_group("BFI_open", xsection)</code></pre>
<pre><code>##
## Welch Two Sample t-test
##
## data: BFI_open by hormonal_contraception
## t = -5, df = 900, p-value = 0.0000004
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.28 -0.12
## sample estimates:
## mean in group hormonal contraceptive user mean in group naturally cycling
## 3.6 3.8
##
##
## Hedges's g
##
## g estimate: -0.32 (small)
## 95 percent confidence interval:
## lower upper
## -0.45 -0.20</code></pre>
<p><img src="2_descriptives_files/figure-html/unnamed-chunk-19-1.png" width="672" /></p>
</div>
<div id="relationship-satisfaction" class="section level3">
<h3>Relationship satisfaction</h3>
<pre class="r"><code>compare_by_group("ZIP", xsection)</code></pre>
<pre><code>##
## Welch Two Sample t-test
##
## data: ZIP by hormonal_contraception
## t = 3, df = 900, p-value = 0.002
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.049 0.227
## sample estimates:
## mean in group hormonal contraceptive user mean in group naturally cycling
## 4.2 4.0
##
##
## Hedges's g
##
## g estimate: 0.18 (negligible)
## 95 percent confidence interval:
## lower upper
## 0.061 0.307</code></pre>
<p><img src="2_descriptives_files/figure-html/unnamed-chunk-20-1.png" width="672" /></p>
</div>
<div id="occupation" class="section level3">
<h3>Occupation</h3>
<pre class="r"><code>xsection$occupation_clean = factor(xsection$occupation_clean, c( "Studentin", "Schülerin", "Auszubildende", "Berufstätig", "Hausfrau", "Nicht berufstätig"))
jmv::contTables(
data = xsection,
rows = c( "occupation_clean"),
cols = "hormonal_contraception", pcCol = T)</code></pre>
<pre><code>##
## CONTINGENCY TABLES
##
## Contingency Tables
## ───────────────────────────────────────────────────────────────────
## occupation_clean 0 1 Total
## ───────────────────────────────────────────────────────────────────
## Studentin Observed 247 489 736
## % within column 57.7 78.5
##
## Schülerin Observed 3 12 15
## % within column 0.7 1.9
##
## Auszubildende Observed 4 10 14
## % within column 0.9 1.6
##
## Berufstätig Observed 151 104 255
## % within column 35.3 16.7
##
## Hausfrau Observed 14 6 20
## % within column 3.3 1.0
##
## Nicht berufstätig Observed 9 2 11
## % within column 2.1 0.3
##
## Total Observed 428 623 1051
## % within column 100.0 100.0
## ───────────────────────────────────────────────────────────────────
##
##
## χ² Tests
## ───────────────────────────────
## Value df p
## ───────────────────────────────
## χ² 70.1 5 < .001
## N 1051