Utafiti huu wa majaribio ulichunguza hali ya kukabiliwa na hasara, hisia ya kuhusika, mtazamo wa self-efficacy, matatizo ya kujifunza na nia ya kuelekea katika taaluma ya kiasi miongoni mwa wanafunzi 120 wanaosoma biashara, saikolojia ya uchumi, utalii na programu zinazohusiana katika masomo ya kiasi na takwimu. Data zilizopatikana kutoka kwenye dodoso jipya lililotolewa kwa karatasi mwezi Juni 2026 zilitathminiwa kwa descriptive statistics, group comparisons, Spearman correlations, Firth logistic regression na qualitative content analysis ya majibu ya wazi. Ingawa uzoefu wa hasara ulikuwa kwa ujumla katika kiwango cha chini, wanafunzi wanawake waliripoti kujiamini kwa kiwango cha chini zaidi kuliko wanaume katika kueleza matokeo ya takwimu kwa njia inayoeleweka kwa wengine. Nia ya kuelekea katika taaluma ya kiasi ilionekana kuhusiana zaidi na kujiamini katika kuwasilisha takwimu na hisia ya kuhusika katika masomo ya kiasi kuliko na general self-efficacy. Hata hivyo, kwa kuwa utafiti unategemea sample ndogo na isiyochaguliwa kwa nasibu kutoka taasisi moja, self-reports na career intentions za cross-sectional, hauonyeshi causality wala generalizability kwa idadi kubwa zaidi ya wanafunzi.

Asilimia 77,5 ya sample ilikuwa wanawake, asilimia 62,1 walikuwa first-generation university students, yaani watu wa kwanza katika familia zao kuendelea na elimu ya juu, na asilimia 28,8 waliripoti tatizo la afya linaloathiri masomo yao. Matatizo yaliyotajwa mara nyingi zaidi yalikuwa ukosefu wa maarifa ya awali ya kutosha au mahitaji ya somo, pamoja na mzigo wa muda unaotokana na kazi, majukumu ya ulezi au sababu zinazofanana. Findings zinaonyesha kwamba tatizo kuu linalowakabili wanafunzi huenda lisihusiane tu na ubaguzi wa wazi; kiwango cha maandalizi ya masomo, shinikizo la muda, namna ya kufundisha, kuonekana kwa sehemu za kupata msaada na uwezo unaohisiwa katika kazi maalum za kiasi pia vinahitaji kutathminiwa pamoja na mipango ya taaluma.

Swali kuu la utafiti ni nini?

Utafiti unachunguza jinsi wanafunzi katika programu za biashara na zinazohusiana wanavyopitia masomo ya kiasi kupitia maswali matano ya msingi:

1. Hasara inayopatikana katika masomo ya kiasi imeenea kwa kiwango gani, na wanafunzi wanahusisha uzoefu huu na sifa zipi binafsi?
2. Je, hasara, self-efficacy na belonging hutofautiana kwa jinsia, kuwa first-generation university student na program ya masomo?
3. Self-efficacy na belonging zinahusianaje na nia ya kuelekea katika taaluma ya kiasi?
4. Measurement properties za dodoso lililotengenezwa kwa study hii zikoje, na pilot application inaonyesha marekebisho gani yanahitajika?
5. Wanafunzi wanakabiliwa na matatizo gani katika masomo ya kiasi, na ufundishaji au institutional support vinaweza kuelekezwa katika maeneo gani?

Moja ya vipengele muhimu vya study ni kwamba haikuiwekea mipaka research field kwenye engineering au natural-science programs ambazo wanaume ni wengi. Sample inajumuisha hasa wanafunzi wanawake na wanafunzi kutoka business, economic psychology, tourism management na related programs. Hivyo imechunguzwa kama self-efficacy, belonging na disadvantage mechanisms zinazojadiliwa katika STEM fields pia zinaonekana katika mazingira tofauti ya elimu ambako wanawake ndio wengi.

Kwa nini study hii ni muhimu?

Masomo ya statistics, mathematics, econometrics na data analysis ni sehemu za lazima katika business na social-science programs nyingi. Hata hivyo, wanafunzi hawaanzi masomo haya wakiwa na same school background, mathematics preparation, muda unaopatikana au support network. Study inatathmini tofauti hizi si kwa academic achievement pekee, bali pia kwa kama mwanafunzi anajihisi kuwa sehemu ya field na kama anafikiria kuchagua taaluma ya kiasi baadaye.

Social cognitive career theory imetumika katika theoretical framework ya study. Approach hii inapendekeza kwamba imani ya mtu kuhusu uwezo wa kutekeleza tasks katika field fulani inaweza kuwa na nafasi katika interest, choice na persistence. Katika research, general self-efficacy imetenganishwa hasa na confidence kuhusu specific quantitative task. General self-efficacy inaeleza broad perception ya mtu kwamba anaweza kushughulikia problems ngumu na complex; field-specific self-efficacy inaeleza confidence ya kuweza kuwasilisha statistical results kwa audience isiyo na utaalamu wa statistics kwa njia inayoeleweka.

Sample iliundwaje?

Questionnaires zilitolewa kwa karatasi katika introductory-level courses ndani ya Hochschule Harz mwezi Juni 2026. Sample haikuchaguliwa randomly; wanafunzi waliokuwa darasani wakati questionnaire iliposambazwa walishiriki katika study. Kati ya jumla ya wanafunzi 120, 59 walitoka katika various introductory statistics courses, 55 katika introductory economics course na 6 katika applied project course.

Katika sehemu ya kushoto ya Kielelezo 1, wanawake, first-generation students, wale wenye migration background na wale walioripoti tatizo la afya wanaonyeshwa kwa horizontal bars. Sehemu ya kulia inaonyesha idadi ya wanafunzi katika program groups. Visual inaonyesha kwamba sample ina structure tofauti, huku wanawake wakiwa wengi na first-generation university students wakiwa sehemu kubwa ya sample.

Masharti ya kuingia chuo yalitofautiana kwa kiasi gani?

Quantitative prior knowledge ambayo wanafunzi walidhani walikuwa nayo walipoanza university ilipimwa kwa scale ya 1 hadi 5, ikiwa na mean ya 2,73 na standard deviation ya 0,91. Distribution ilijikusanya hasa karibu na middle value ya 3. Mean grade katika university entrance qualification ilikuwa 2,12; katika German grading system, 1 ndiyo grade bora zaidi.

Kati ya wanafunzi 119 waliotoa valid responses, 38, yaani asilimia 31,9, waliripoti kwamba walikuwa wamechukua advanced mathematics au physics course shuleni. Kati ya wanafunzi 118, idadi ya wenye vocational-training background ilikuwa 9, yaani asilimia 7,6. Kielelezo 2 kinaonyesha kwamba sehemu kubwa ya wanafunzi ilitathmini prior-knowledge level yao kama medium na kwamba advanced mathematics au physics preparation ilikuwa limited kwa takriban theluthi moja ya sample.

Questionnaire ilipima constructs zipi?

Mtafiti alitengeneza questionnaire mpya kwa sababu hakukuwa na single validated German instrument inayoweza kutumika kwa muda mfupi darasani na kupima pamoja disadvantage experience, belonging na statistics self-efficacy. Questionnaire ilikuwa na sections nne:

• Pre-university preparation: Prior knowledge, interest katika school mathematics, advanced courses, vocational training na school-leaving grade.
• Learning experience at university: Course difficulties, teaching na exam formats, support persons, thoughts of dropping out au changing program, na quantitative-course grades.
• Self-efficacy, career na disadvantage: General self-efficacy, confidence in presenting statistics, quantitative-career intention, competence being questioned, not being taken seriously na being blocked from access to support au opportunities.
• Sociodemographic characteristics: Age, gender, migration background, parental education, working time, caregiving responsibility na health problems affecting study.

General self-efficacy ilipimwa kwa items tatu za validated German ASKU short scale. Confidence in presenting statistics na belonging zilitathminiwa kwa item moja kila moja. Disadvantage scale ilikuwa na behavior-based items tatu: competence ya mtu kuhojiwa bila objective reason, kuchukuliwa kwa uzito mdogo kuliko wengine wakati wa teaching au assessment, na kuzuiwa kupata support, resources au opportunities.

Disadvantage experience ilikuwa imeenea kwa kiwango gani?

Level ya disadvantage iliyowasilishwa katika sample ilikuwa low. Kwa scale ya 1 hadi 5, mean ya disadvantage index iliyoundwa na items tatu ilikuwa 1,45, na standard deviation ya 0,63. Responses kujikusanya katika lowest end ya scale kulisababisha strong floor effect.

Stacked horizontal bars katika Kielelezo 3 zinaonyesha kwamba “kamwe” ilikuwa sehemu kubwa zaidi katika indicators zote tatu. Experience iliyotokea mara nyingi zaidi ilikuwa competence ya mwanafunzi kuhojiwa. Kuzuiwa kupata resources au opportunities ndiyo hali iliyoripotiwa mara chache zaidi.

Kati ya watu 85 walioijibu item iliyouliza disadvantage ilihusishwa na sifa gani, sababu iliyotajwa mara nyingi zaidi ilikuwa gender. Wanafunzi kumi na wanane, yaani asilimia 21,2 ya walioijibu swali hili, walichagua gender. Katika figure, age ni takriban asilimia 8, other reasons asilimia 7, social au family background asilimia 6, migration au language background asilimia 5 na health status takriban asilimia 2.

Result hii haimaanishi disadvantage ilikuwa common katika sample. Kinyume chake, experiences nyingi ziliripotiwa kwa low frequency. Findings zinaonyesha tu kwamba wakati sababu ya disadvantage ilipotajwa, gender ilichaguliwa mara nyingi zaidi kuliko options nyingine. Strong floor effect pia inaacha wazi swali kama scale iliweza kukamata sufficiently lower-intensity au more implicit experiences.

Ni differences zipi zilipatikana kati ya wanafunzi wanawake na wanaume?

Hakukuwa na statistically significant gender difference katika general self-efficacy, belonging au total disadvantage score. Kwa upande mwingine, wanafunzi wanawake waliripoti lower confidence kuliko wanaume katika kuwasilisha statistical results kwa audience isiyo na utaalamu kwa njia inayoeleweka.

Cohen’s d inaeleza difference kati ya means za groups mbili kwa units za pooled variability. Effect ya 0,75 katika confidence in presenting statistics inaonyesha clear difference ndani ya sample. Hata hivyo, indicator iliyotumika ni single self-report item tu. Result haithibitishi kwamba quantitative abilities, actual presentation performance au statistics achievement ya wanafunzi wanawake ni lower; inaonyesha tu kwamba reported confidence yao kuhusu task hii maalum ilikuwa lower.

Je, kulikuwa na difference kati ya programs?

Experienced-disadvantage score ilitofautiana kati ya program groups; katika one-way analysis of variance, p value iliripotiwa kuwa 0,001 na eta-squared value 0,13. Difference ilielezwa kuwa inatokana mainly na very low scores miongoni mwa economic-psychology students na relatively higher scores miongoni mwa tourism-management students.

Hata hivyo, kwa sababu scores kwa ujumla zilikusanyika kwenye lower end ya scale, program groups zilikuwa small na analyses zilifanywa bila multiple-comparison correction, result hii haiwezi kutafsiriwa kama confirmed program effect. Ingawa difference inaonekana statistically, absolute disadvantage level inabaki low.

Quantitative-career intention ilihusiana na variables zipi?

Wanafunzi 20 waliripoti kwamba walifikiria kuelekea katika quantitative career field, 71 waliripoti kwamba hawakufikiria, na responses 29 zilibaki katika category isiyoeleweka au isiyofaa kwa analysis. Miongoni mwa fields zilizotajwa, market research ilitajwa mara 10, consulting 8, entrepreneurship 3, research 2 na data analysis 1.

Spearman correlations zilionyesha kwamba quantitative-career intention ilikuwa positively related na confidence in presenting statistics: r = 0,31 na p = 0,003. Relationship na belonging ilikuwa smaller lakini positive: r = 0,22 na p = 0,039. Relationship na general self-efficacy ilibaki katika r = 0,15 na haikuwa statistically significant.

Comparison hii ni moja ya main results za study. Wakati belief ya mwanafunzi kwa ujumla kwamba anaweza kushughulikia difficult tasks haionekani kuwa clearly related na quantitative-career intention, field-specific confidence kama uwezo wa kuwasilisha statistical result na feeling of belonging katika quantitative courses zilibadilika pamoja na career intention.

Negative relationship ilipatikana kati ya belonging na experienced disadvantage: r = −0,32 na p < 0,001. Wanafunzi walioripoti disadvantage zaidi walikuwa na tendency ya kujihisi less belonging katika quantitative courses. Hata hivyo, cross-sectional design haiwezi kuamua kama disadvantage inasababisha low belonging au low belonging inaongeza perception ya disadvantage.

Logistic-regression results zina maana gani?

Kwa sababu ya limited number ya positive career intentions, researcher alitumia Firth penalized logistic regression ili kupunguza small-sample bias. Model ilijengwa kwa wanafunzi 91 na events 20 za reported quantitative-career intention, na variables mbili tu za kueleza ziliwekwa simultaneously.

Wakati variable nyingine inashikiliwa constant, each one-point increase katika confidence in presenting statistics kwenye scale ya 1–5 ilihusishwa na odds ya quantitative-career intention kuwa 1,81 times; na each one-point increase katika belonging ilihusishwa na 1,84 times. Odds ratio haimaanishi kwamba probability ya kuchagua career iliongezeka directly kwa asilimia 81 au asilimia 84. Findings zinaonyesha association, na kwa sababu ya nonexperimental cross-sectional design haziwezi kusomwa kama causal effect.

Box plots katika lower section ya Kielelezo 5 zinaonyesha kwamba students walioripoti quantitative-career intention kwa ujumla walikuwa na higher distributions za confidence in presenting statistics na belonging scores. Hata hivyo, kuna overlap kati ya groups; hakuna single psychological indicator inayodetermine career plan ya mwanafunzi peke yake.

Ni matatizo gani wanafunzi waliripoti mara nyingi zaidi?

Wanafunzi wote 113 waliojibu swali la difficulties waliripoti angalau problem moja, na mean ya 2,1 difficulties ilichaguliwa kwa kila mwanafunzi. Katika Kielelezo 6, bars ndefu zaidi zinahusiana na insufficient prior knowledge au course demands pamoja na time burden.

Kati ya wanafunzi 118 waliotoa valid responses, 34, yaani asilimia 28,8, walisema teaching na assessment formats hazitoshelezi sufficiently different learning needs. Mean ya item hii ilikuwa 3,06 na standard deviation 0,85. Pia, kati ya wanafunzi 107, 22, yaani asilimia 20,6, waliripoti kwamba hawakuwa na mtu yeyote katika department ambaye wangeweza kumwendea kupata support.

Kati ya jumla ya wanafunzi 119, 43, yaani asilimia 36,1, walikuwa angalau wamefikiria kubadilisha au kuacha quantitative course au study program. Uwiano huu haumaanishi kwamba waliondoka kweli katika program; “having thought about it” na actual dropout behavior hazipaswi kutathminiwa katika category moja.

Ni relationship gani ilionekana kati ya grades na disadvantage?

Mean ya wanafunzi 81 waliokuwa na quantitative core-course grade ilikuwa 2,43 na standard deviation 1,23. Katika German grading system, higher numbers zinawakilisha lower achievement. Positive relationship ya ρ = 0,31 ilipatikana kati ya quantitative-course grade na experienced disadvantage. Kwa hiyo, students wenye weaker grades walikuwa na tendency ya kuripoti disadvantage zaidi.

Relationship hii haionyeshi kwamba disadvantage inasababisha lower grade. Wanafunzi wenye academic difficulty wanaweza kutathmini behavior ya watu wanaowazunguka differently, disadvantage experiences zinaweza kuathiri achievement, au zote mbili zinaweza kuhusiana na other conditions ambazo hazikupimwa katika study. Number ya self-reported difficulties na confidence in presenting statistics hazikuonyesha significant relationship na grade; relationship kati ya belonging na grade ilibaki weak.

Health problems ziligawanyikaje?

Kati ya wanafunzi 32 walioripoti health problem inayoathiri study, 20, yaani asilimia 62,5, waliripoti psychological condition. Remaining students 12 walikuwa katika category ya nonpsychological health problems. Kielelezo 7 kinaonyesha psychological share ya asilimia 62 katika sample hii pamoja na national reference ya asilimia 65 iliyotumika katika study.

Finding hii haimaanishi kwamba asilimia 62,5 ya wanafunzi wote wana psychological problem. Uwiano unaonyesha distribution tu ndani ya subgroup ya watu 32 walioripoti any health problem inayowaathiri katika study.

Open-ended responses zilionyesha nini?

Open-ended item iliyouliza kama wengine walipewa encouragement zaidi licha ya equal interest katika school mathematics ilijibiwa na wanafunzi 89. Kati yao, 63 walisema hawakuwa na experience kama hiyo. Kati ya responses 26 zilizoeleza differential treatment, 21 zilihusiana na distinction based on achievement au ability level. Gender na social au family background zilitajwa mara moja kila moja, na responses tatu ziliwekwa katika category ya teacher-dependent au unclear reasons.

Item iliyouliza department inapaswa kufanya nini ili kujenga more equal career paths katika statistics na data science ilijibiwa na wanafunzi 42:

• Wanafunzi 12 walitaka practice zaidi, tutorials, advising au contact hours.
• Wanafunzi 7 walipendekeza preparatory au bridge courses ili kupunguza prior-knowledge differences.
• Wanafunzi 5 walitaka teaching iliyo clear zaidi na application-oriented.
• Wanafunzi 4 walitaka female instructors au role models zaidi.
• Responses 14 ziligawanyika kati ya programming support, scheduling, staff training na other suggestions.

Qualitative responses zili-codeiwa na evaluator mmoja. Kwa sababu independent second coder hakutumiwa, reliability ya categories haikupimwa. Kwa hiyo themes zinapaswa kutathminiwa si kama representative proportions za sample, bali kama explanatory signals zilizojitokeza katika pilot instrument.

Measurement properties za questionnaire zilikuwaje?

Cronbach alpha value ya three-item ASKU general self-efficacy scale ilikuwa 0,80, na alpha ya three-item disadvantage scale ilikuwa 0,73. Values hizi zinaonyesha kwamba items zilitembea pamoja ndani ya sample. Hata hivyo, kwa sababu strong floor effect katika disadvantage items ililimit variance, coefficient ya 0,73 haikuchukuliwa peke yake kama evidence ya high measurement quality.

Kwa kuwa belonging na confidence in presenting statistics zilipimwa kwa item moja kila moja, internal consistency haikuweza kuhesabiwa kwa constructs hizi. Belonging item inauliza katika same sentence both “being respected” na “feeling belonging”. Researcher anapendekeza kwamba double-barreled structure hii igawanywe katika items mbili tofauti katika questionnaire inayofuata.

Katika item C5 iliyouliza kama disadvantage katika quantitative courses ilitokea more frequently kuliko katika other courses, wanafunzi 13 walichagua both frequency value na option ya “sijapata experience kama hiyo”. Kwa sababu responses hizi zinazokinzana hazikuweza kuchambuliwa, ilihitimishwa kwamba item inahitaji redesign kwa mandatory filter question.

Ujumbe mkuu wa pamoja wa grafu na majedwali ni upi?

Disadvantage graph katika Kielelezo 3 inaonyesha kwamba negative experiences zilibaki katika low frequency; correlation heat map katika Kielelezo 4 inaonyesha kwamba relationships kati ya belonging, field-specific confidence na career intention zinaonekana wazi zaidi kuliko general self-efficacy. Moja ya relationships zilizo wazi zaidi katika heat map ni positive correlation ya 0,49 kati ya school-leaving grade na current quantitative-course grade. Kwa sababu katika German grading system higher score ina maana weaker achievement, inaonekana kwamba students wenye weaker school grades pia wana tendency ya kuwa na relatively weaker quantitative-course grades university.

Katika graph ya study difficulties kwenye Kielelezo 6, prior knowledge na time burden zinajitenga wazi na options nyingine. Hali hii inaonyesha kwamba matatizo wanayokabili wanafunzi hayawezi kuelezwa kwa identity-based disadvantage pekee; academic preparation na life circumstances pia ni muhimu. Hata hivyo, kwa sababu study haikutumia experimentally any support program, haithibitishi kwamba preparatory courses, tutorials au flexible exam formats zitaongeza achievement kwa uhakika.

Strengths za study ni zipi?

• Ilichunguza self-efficacy, belonging, disadvantage, learning difficulties na career intention pamoja katika pilot instrument moja.
• Ilitenganisha general self-efficacy na confidence kuhusu specific statistics task.
• Iliripoti si p values pekee bali pia effect sizes na asilimia 95 confidence intervals.
• Ilitumia Firth penalized logistic regression inayofaa kwa limited number ya positive career intentions.
• Iliongeza open-ended responses kwenye quantitative analyses.
• Iliripoti wazi problems katika measurement instrument kama floor effect, double-barreled item na contradictory response format.
• Ili-frame study si kama confirmatory result bali kama pilot ya kutengeneza hypotheses kwa future research.

Limitations za study ni zipi?

• Sample inajumuisha wanafunzi 120 kutoka university moja ya Ujerumani.
• Participants hawakuchaguliwa randomly; convenience sample ya students waliokuwepo darasani ilitumika.
• Sample inajumuisha mainly wanawake na students walio katika early stage ya studies zao.
• Disadvantage scores kujikusanya kwenye lower boundary kulipunguza statistical power na uwezo wa kutenganisha groups.
• Exploratory comparisons nyingi zilifanywa bila multiple-testing correction.
• Belonging na confidence in presenting statistics zilipimwa kwa item moja kila moja.
• Open-ended responses zili-codeiwa na evaluator mmoja.
• Career outcomes si actual occupational choices bali intentions za wakati huo.
• Cross-sectional design haiwezi kuamua change over time au causal direction.
• Students ambao hawakuanza quantitative fields kabisa au waliokuwa wameziacha awali hawajawakilishwa katika sample.

Study inaunga mkono nini?

• Katika sample hii, explicitly reported disadvantage experiences ziko katika low frequency.
• Disadvantage iliporipotiwa, attribution iliyochaguliwa mara nyingi zaidi ilikuwa gender.
• Wanafunzi wanawake waliripoti lower confidence katika specific task ya presenting statistical results.
• Confidence in presenting statistics na belonging zina positive relationship na quantitative-career intention.
• Students walioripoti disadvantage zaidi walikuwa na tendency ya kuripoti lower belonging.
• Most common learning difficulties ni lack of prior knowledge au course demands pamoja na time burden.

Study haithibitishi nini?

• Haithibitishi kwamba quantitative ability au actual statistics performance ya wanawake ni lower kuliko ya wanaume.
• Haionyeshi kwamba belonging au self-efficacy inasababisha quantitative-career choice.
• Haionyeshi kwamba disadvantage inasababisha lower grade.
• Haikutest experimentally kama recommended preparatory, tutorial au support measures zina effectiveness.
• Haiwakilishi all university students katika Ujerumani au nchi nyingine.
• Haionyeshi students wataingia katika occupations zipi actually baada ya graduation.
• Low mean disadvantage haithibitishi kwamba all implicit, low-intensity au unreported experiences hazipo.

Ina maana gani kwa higher education nchini Uturuki?

Kwa sababu study haina data kutoka Uturuki, numerical proportions za Ujerumani haziwezi kutumika directly kwa students nchini Uturuki. Hata hivyo, question structure na measurement design ya research inatoa framework inayoweza kuadaptishwa kuchunguza quantitative courses katika business, economics, tourism, psychology, management information systems, econometrics na data-analysis programs.

Katika validation study itakayofanywa Uturuki, questionnaire items zinahitaji Turkish language na cultural adaptation, universities na regions tofauti zinapaswa kuingizwa katika sample, single-item indicators za belonging na field-specific confidence zinapaswa kupanuliwa, actual course performance ya students inapaswa kufuatiliwa, na career outcomes baada ya graduation zinapaswa kutathminiwa longitudinally. Mapendekezo haya hayamaanishi kwamba existing research inatoa evidence kwa Uturuki; yanaeleza methodological transfer ya jinsi pilot design inaweza kutestwa locally.

Mbinu na Matokeo ya Utafiti

Main numerical findings

Study haikutoa original physical au mathematical mechanism formula. Findings ziliripotiwa kupitia means, standard deviations, reliability coefficients, correlations, effect sizes, confidence intervals na logistic-regression odds ratios. Kwa sababu hakuna correction iliyofanywa kwa multiple comparisons, p values zinapaswa kutathminiwa si kama confirmatory evidence bali kama signals kwa future research.

Maelezo ya Chanzo na Mbinu

Original title ya study: Experienced Disadvantage, Belonging, and Career Intentions in Quantitative Coursework: A Pilot Study

Author: Andree Ehlert

Author order: Study ina author mmoja.

Equal first author: Hakuna.

Corresponding author: PDF haina separate corresponding-author marker. SSRN record inaorodhesha Andree Ehlert kama contact author.

Institution: Harz University of Applied Sciences, Faculty of Business Studies, Friedrichstr. 57–59, 38855 Wernigerode, Germany.

Source type: Pilot survey na measurement-instrument development study; Working paper, version 1; SSRN preprint.

Study date: 22 Juni 2026.

SSRN publication date: 24 Juni 2026.

DOI:10.2139/ssrn.6977961

Journal: Hakuna peer-reviewed journal name na peer-reviewed journal version haijathibitishwa.

Publication platform: SSRN.

Original publisher au platform operator: Study haina peer-reviewed journal publisher. SSRN ni preprint platform inayoendeshwa na Elsevier.

Peer-review status: Study hii ni preprint ambayo haijapitia peer review. SSRN platform screening na kupewa DOI hakumaanishi academic peer review.

Official link:Official SSRN study page

Maelezo haya ya Kituruki yameandaliwa kwa kusoma uploaded study kutoka mwanzo hadi mwisho na kutathmini pamoja text, tables, figures, correlation matrix, method descriptions, limitations na questionnaire appendix. Hakuna scientific result mpya kutoka nje ya PDF iliyoongezwa kwenye findings. External sources zilitumika only kwa bibliographic verification ya DOI, SSRN record, platform nature, author na institutional affiliation.

Main limitations za study ni small na nonrandom sample kutoka institution moja, dominance ya women katika sample, cross-sectional self-report data, baadhi ya single-item measures, floor effect katika disadvantage scale, absence ya multiple-testing correction, small number ya positive career intentions na open-ended responses ku-codeiwa na mtu mmoja. Results hazionyeshi actual career behaviors au causal effects. Findings zinapaswa kusomwa kama hypotheses kwa larger na confirmatory research.