bialka2022stawkawycofanie
/data/papers/bialka2022stawkawycofanie/bialka2022stawkawycofanie.yamlschema_version: "1.2"
extraction_run:
created_at: "2026-05-06T00:00:00+02:00"
created_by: "Codex"
source_files:
- "pdf/paper.pdf"
- "data/daneZBlic.csv"
- "data/ZBiałka_Analiza danych_metaanalizy.rmd"
- "data/ZBiałka_tabele2.xlsx"
notes: "Thesis used for materials/procedure; dataset and local analysis script used as numeric source of truth."
paper:
paper_id: bialka2022stawkawycofanie
citation: "Białka, Z. (2022). Wpływ stawki na wycofanie przypisania wiedzy. Inwariantyzm klasyczny a intuicje potoczne. BA thesis, University of Warsaw."
short_label: "Białka 2022"
doi: null
published: "No"
year: 2022
language: other
language_other: Polish
research_objective: "Test whether Polish speakers are more willing to retract a prior self-ascription of knowledge when practical stakes are high rather than low."
data_availability:
data_available_online: "No"
url: null
notes: "Unpublished local thesis dataset and manual analysis files are copied into this paper directory."
notes: "The thesis reports N=186 with 51 attention-check exclusions; the local dataset/script contain 204 complete LimeSurvey records and exclude 52 IDs. Effects use the dataset/script."
studies:
- study_id: 1
label: "Retraction of knowledge self-ascription"
language: other
language_other: Polish
objective: "Compare retraction of an initial first-person knowledge claim in high-stakes versus low-stakes variants of the same scenario."
sample:
n_final: 152
recruitment: volunteers recruited via social media
recruitment_other: null
compensation: null
compensation_other: null
characteristics: "Online volunteer sample; thesis reports ages 16-71 among retained participants, mean age 30."
provenance:
page: 58
quote: "W badaniu wzięło udział 186 osób. Odpowiedzi 51 z nich zostały odrzucone..."
tei_id: null
table_ref: null
mean_age: 30
mean_age_prov:
page: 58
quote: "Badani, których odpowiedzi były poprawne, byli w przedziale wiekowym od 16 do 71 lat, średnia wieku wyniosła 30 lat."
tei_id: null
table_ref: null
design: null
design_other: "Mixed within-person survey sequence; the retained same-scenario high-vs-low contrasts are between-subjects because each scenario appears in only one stakes condition per respondent group."
manipulated_factors:
- "Stakes condition: low, high, or contrary-evidence condition"
- "Scenario: proofreading essay, city transit card, bank-hours"
paradigm: Retraction of knowledge attribution
paradigm_other: null
scale:
label: composite-score
points: null
anchors: "-7 to 7 composite from binary knowledge/retraction response multiplied by 1-7 confidence"
direction: "Higher values indicate stronger tendency to maintain the knowledge claim with higher confidence."
provenance:
page: 56
quote: "na ile, w skali od 1(bardzo niepewny(-a)) do 7 (bardzo pewny(-a)) jesteś pewny(-a)"
tei_id: null
table_ref: null
measures:
knowledge_question_text: "Wybierz proszę odpowiedź, której byłbyś/byłabyś bardziej skłonny(-a) udzielić: Wiem... / Nie wiem..."
knowledge_question_first: "Yes"
additional_question_text: "Confidence in the preceding response on a 1-7 scale."
scenarios:
- scenario_code: typos
scenario_type: "Proofreading joint English assignment"
high_stakes_text: "Hanna's scholarship depends on receiving a high grade; a remaining typo would likely prevent this."
low_stakes_text: "Hanna recommends songs by Kwiat Jabłoni; the new information does not affect whether the assignment contains errors."
provenance:
page: 53
quote: "Wypracowanie - wysoka stawka... Jej stypendium od tego zależy..."
tei_id: null
table_ref: null
- scenario_code: bank
scenario_type: "Bank-hours / bank open on Saturday"
high_stakes_text: "Ala must pay a semester-repeatment installment or be removed from the student list."
low_stakes_text: "The new information is an unrelated phone call about dinner at home."
provenance:
page: 75
quote: "Bank – wysoka stawka... jutro musi koniecznie opłacić ratę za powtarzanie semestru."
tei_id: null
table_ref: null
- scenario_code: other
scenario_type: "City transit card validity"
high_stakes_text: "Potential ticket inspectors enter the tram."
low_stakes_text: "Karolina talks about the museum exhibition."
provenance:
page: 75
quote: "Karta – wysoka stawka... do tramwaju wsiądzie zaraz dwóch mężczyzn ubranych na czarno..."
tei_id: null
table_ref: null
effects:
- effect_id: s1_e1
subgroup: "Wypracowanie: high vs low stakes"
subgroup_desc: "Proofreading scenario; same-scenario high-low contrast"
design: Between-Subjects
design_other: null
moderators: &bialka_typos_mods
scenario: typos
skeptical_pressure: "No"
awareness: "Yes"
evidence: First Person
attribution_person: First Person
evidence_reliability: High
moderators_coding: &bialka_typos_coding
scenario:
provenance:
page: 53
quote: "Ty i Hanna pisałyście wspólną pracę... czy w pracy nie ma żadnych literówek"
tei_id: null
table_ref: null
reason: "The target proposition concerns whether a proofread assignment contains errors; this matches the typos scenario."
skeptical_pressure:
provenance:
page: 53
quote: "niską stawką... informacja nie dotyczy... wysoką stawką... stawka rośnie"
tei_id: null
table_ref: null
reason: "The retained high/low variants manipulate consequences, not a contrary-evidence cue; the contrary-evidence condition is not used here."
awareness:
provenance:
page: 53
quote: "Hanna przyznaje Ci się, że otrzymanie piątki... jest to dla niej niezwykle ważne."
tei_id: null
table_ref: null
reason: "The respondent-protagonist is directly told the high-stakes consequence before answering."
evidence:
provenance:
page: 53
quote: "Przeczytałaś uważnie pracę 3 razy i skorzystałaś ze słownika..."
tei_id: null
table_ref: null
reason: "The epistemic basis is the respondent-protagonist's own checking/proofreading."
attribution_person:
provenance:
page: 53
quote: "Odpowiadasz: „Wiem, że w pracy nie ma już żadnych błędów”."
tei_id: null
table_ref: null
reason: "The target is a first-person knowledge self-ascription by the respondent-protagonist."
evidence_reliability:
provenance:
page: 53
quote: "Przeczytałaś uważnie pracę 3 razy i skorzystałaś ze słownika..."
tei_id: null
table_ref: null
reason: "Repeated proofreading plus dictionary use is presented as a strong checking procedure."
contrast:
group_high: wypracowanie_high
group_low: wypracowanie_low
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Low/high same-scenario contrast; contrary-evidence condition excluded from primary effect."
groups:
- group_id: wypracowanie_low
label: "Wypracowanie - niska stawka"
n: 49
mean: 2.795918367347
sd: 4.9748517224
se: null
provenance:
page: null
quote: "Computed from daneZBlic.csv after the exclusion vector in ZBiałka_Analiza danych_metaanalizy.rmd."
tei_id: null
table_ref: "daneZBlic.csv; ZBiałka_Analiza danych_metaanalizy.rmd"
- group_id: wypracowanie_high
label: "Wypracowanie - wysoka stawka"
n: 44
mean: -0.590909090909
sd: 5.47432987008
se: null
provenance:
page: null
quote: "Computed from daneZBlic.csv after the exclusion vector in ZBiałka_Analiza danych_metaanalizy.rmd."
tei_id: null
table_ref: "daneZBlic.csv; ZBiałka_Analiza danych_metaanalizy.rmd"
reported_test:
test: t
t: -3.109692050591
df1: 87.3766067593
p: 0.00252875546623
notes: "Welch t-test computed in analysis/effect_sizes.qmd as high minus low; manual Rmd table Bonferroni-adjusts p-values."
provenance:
page: null
quote: "Recomputed from dataset; source script compares AngSLikertO with AngNLikertO."
tei_id: null
table_ref: "analysis/effect_sizes.qmd"
effect_size:
metric: SMD
d: 0.649211530121
v: 0.0454014339003
computed_from: groups
needs_review: false
notes: "Computed from raw group means/SDs in analysis/effect_sizes.qmd using esc::esc_mean_sd."
quality_flags:
- thesis_dataset_n_discrepancy
notes: null
- effect_id: s1_e2
subgroup: "Karta: high vs low stakes"
subgroup_desc: "City transit card scenario; same-scenario high-low contrast"
design: Between-Subjects
design_other: null
moderators:
scenario: other
skeptical_pressure: "Yes"
awareness: "Yes"
evidence: First Person
attribution_person: First Person
evidence_reliability: Medium
moderators_coding:
scenario:
provenance:
page: 75
quote: "Karta – początek... Twoja karta miejska jest ważna."
tei_id: null
table_ref: null
reason: "The vignette concerns city transit card validity, which is not in the fixed scenario vocabulary."
skeptical_pressure:
provenance:
page: 75
quote: "Karolina zwraca uwagę... powinnaś sprawdzić na kasowniku, czy Twoja karta miejska jest na pewno nadal aktywna."
tei_id: null
table_ref: null
reason: "A companion explicitly suggests checking whether the card is active."
awareness:
provenance:
page: 75
quote: "Zauważacie, że do tramwaju wsiądzie zaraz dwóch mężczyzn... którzy mogą okazać się kontrolerami biletów."
tei_id: null
table_ref: null
reason: "The high-stakes consequence is made salient before the response."
evidence:
provenance:
page: 75
quote: "Pamiętasz jednak, że kupiłaś bilet dopiero na początku tego miesiąca..."
tei_id: null
table_ref: null
reason: "The main basis is the respondent-protagonist's own memory of buying the monthly ticket."
attribution_person:
provenance:
page: 75
quote: "Mówisz Karolinie: “Wiem, że moja karta miejska jest ważna”."
tei_id: null
table_ref: null
reason: "The target is a first-person knowledge self-ascription."
evidence_reliability:
provenance:
page: 75
quote: "Pamiętasz jednak, że kupiłaś bilet dopiero na początku tego miesiąca..."
tei_id: null
table_ref: null
reason: "Memory of a recent ticket purchase is ordinary but fallible; coded Medium."
contrast:
group_high: karta_high
group_low: karta_low
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Low/high same-scenario contrast; contrary-evidence condition excluded from primary effect."
groups:
- group_id: karta_low
label: "Karta - niska stawka"
n: 44
mean: 4.590909090909
sd: 3.78072333314
se: null
provenance:
page: null
quote: "Computed from daneZBlic.csv after the exclusion vector in ZBiałka_Analiza danych_metaanalizy.rmd."
tei_id: null
table_ref: "daneZBlic.csv; ZBiałka_Analiza danych_metaanalizy.rmd"
- group_id: karta_high
label: "Karta - wysoka stawka"
n: 41
mean: 4.439024390244
sd: 3.98778623103
se: null
provenance:
page: null
quote: "Computed from daneZBlic.csv after the exclusion vector in ZBiałka_Analiza danych_metaanalizy.rmd."
tei_id: null
table_ref: "daneZBlic.csv; ZBiałka_Analiza danych_metaanalizy.rmd"
reported_test:
test: t
t: -0.179909056525
df1: 81.7306229759
p: 0.85766927671492
notes: "Welch t-test computed in analysis/effect_sizes.qmd as high minus low; manual Rmd table Bonferroni-adjusts p-values."
provenance:
page: null
quote: "Recomputed from dataset; source script compares KartaSLikertO with KartaNLikertO."
tei_id: null
table_ref: "analysis/effect_sizes.qmd"
effect_size:
metric: SMD
d: 0.0391264649043
v: 0.0471265218077
computed_from: groups
needs_review: false
notes: "Computed from raw group means/SDs in analysis/effect_sizes.qmd using esc::esc_mean_sd."
quality_flags:
- thesis_dataset_n_discrepancy
notes: null
- effect_id: s1_e3
subgroup: "Bank: high vs low stakes"
subgroup_desc: "Bank-hours scenario; same-scenario high-low contrast"
design: Between-Subjects
design_other: null
moderators:
scenario: bank
skeptical_pressure: "Yes"
awareness: "Yes"
evidence: First Person
attribution_person: First Person
evidence_reliability: Medium
moderators_coding:
scenario:
provenance:
page: 75
quote: "Wiem, że bank będzie jutro otwarty."
tei_id: null
table_ref: null
reason: "The target proposition concerns whether the bank will be open tomorrow."
skeptical_pressure:
provenance:
page: 75
quote: "Ala zauważa, że “banki nie w każdy weekend są otwarte”."
tei_id: null
table_ref: null
reason: "The companion explicitly raises an alternative possibility about bank opening hours."
awareness:
provenance:
page: 75
quote: "wpłacenie pieniędzy jest dla niej bardzo ważne... zostanie skreślona z listy studentów"
tei_id: null
table_ref: null
reason: "The high-stakes consequence is explained before the response."
evidence:
provenance:
page: 75
quote: "przypominasz sobie jednak, że dwa tygodnie temu byłaś w banku właśnie w sobotę rano"
tei_id: null
table_ref: null
reason: "The main basis is the respondent-protagonist's own prior visit/memory."
attribution_person:
provenance:
page: 75
quote: "mówisz Ali: “Wiem, że bank będzie jutro otwarty”."
tei_id: null
table_ref: null
reason: "The target is a first-person knowledge self-ascription."
evidence_reliability:
provenance:
page: 75
quote: "dwa tygodnie temu byłaś w banku właśnie w sobotę rano"
tei_id: null
table_ref: null
reason: "Memory plus projection from a prior Saturday visit is ordinary but fallible; coded Medium."
contrast:
group_high: bank_high
group_low: bank_low
sign_convention: "d = mean(low) - mean(high)"
other_notes: "Low/high same-scenario contrast; contrary-evidence condition excluded from primary effect."
groups:
- group_id: bank_low
label: "Bank - niska stawka"
n: 41
mean: 0.121951219512
sd: 5.65329603838
se: null
provenance:
page: null
quote: "Computed from daneZBlic.csv after the exclusion vector in ZBiałka_Analiza danych_metaanalizy.rmd."
tei_id: null
table_ref: "daneZBlic.csv; ZBiałka_Analiza danych_metaanalizy.rmd"
- group_id: bank_high
label: "Bank - wysoka stawka"
n: 49
mean: -2.408163265306
sd: 4.79981929932
se: null
provenance:
page: null
quote: "Computed from daneZBlic.csv after the exclusion vector in ZBiałka_Analiza danych_metaanalizy.rmd."
tei_id: null
table_ref: "daneZBlic.csv; ZBiałka_Analiza danych_metaanalizy.rmd"
reported_test:
test: t
t: -2.263297506371
df1: 78.8884935297
p: 0.02636563450937
notes: "Welch t-test computed in analysis/effect_sizes.qmd as high minus low; manual Rmd table Bonferroni-adjusts p-values."
provenance:
page: null
quote: "Recomputed from dataset; source script compares BankSLikertO with BankNLikertO."
tei_id: null
table_ref: "analysis/effect_sizes.qmd"
effect_size:
metric: SMD
d: 0.486079952873
v: 0.0461110389488
computed_from: groups
needs_review: false
notes: "Computed from raw group means/SDs in analysis/effect_sizes.qmd using esc::esc_mean_sd."
quality_flags:
- thesis_dataset_n_discrepancy
notes: null
notes: "Effects exclude the separate 'dowód' condition and scenario-confounded paired comparisons from the manual Rmd."