Técnicas e Instrumentos de Recolección de Datos
Foundations of Data Collection Techniques and Instruments
Relationship Between Research Techniques and Instruments:
La Encuesta (The Survey): Utilizes El Cuestionario (The Questionnaire) as its primary collection instrument.
La Entrevista (The Interview): Also implements El Cuestionario (The Questionnaire) to structure information collection.
La Observación (Observation): Implements Lista de Chequeo (Checklist) and Escalas de Percepción (Scales of Perception) as measuring instruments.
Core Definition of La Encuesta: Consists of obtaining information directly from study subjects, provided by themselves, regarding their opinions and knowledge through questionnaires.
Final Stage of the Data Process: Step in the methodological sequence is presenting results (Presentar los resultados).
Primary vs. Secondary Data in Market Research
Classification of Data Types:
Datos Secundarios (Secondary Data): Existing data located in internal or external sources of an organization that were originally collected for an objective different from that of the current market research. Examples include documentary reviews of existing projects (exámenes documentales de proyectos existentes), third-party reports (informes de terceros), and publications.
Datos Primarios (Primary Data): Information collected specifically and directly for the purpose and objective of the current investigation. Examples include interviews (entrevistas), focus groups (grupos dirigidos de discusión), surveys (encuestas), and direct observations (observaciones).
General Methodological Rule (Regla General):
Every market research study must begin with the exploration and retrieval of secondary data.
Primary data collection must proceed only when secondary sources do not exist, prove insufficient, or have been completely exhausted.
Conceptual Definition, Objectives, and Structural Typology of Questionnaires
Core Conceptual Definitions:
General Definition: A structured medium or support for the collection of data, fundamentally utilized within survey research.
Methodological Function: Operates as a device to structure an interview in an orderly manner, guaranteeing that the exact same questions are posed in the identical sequence to all interviewed subjects. It establishes the rhythm and order of the session, ensures standardization of phrasing, and serves as the physical or digital register where data are noted for subsequent analysis.
Variable-Oriented Definition: A structured set of questions designed with respect to one or more variables or empirical indicators (Variables/Indicadores).
Operational Definition (Berdie and Anderson, 1974): A procedure that facilitates and permits obtaining answers to formulated questions.
Strategic Plan Definition: A systematic plan designed to generate the necessary data required to fulfill the objectives of the research project, eliciting information from the designated unit of analysis under study.
Fundamental Golden Rule: A questionnaire must ALWAYS be designed specifically to fulfill research objectives. Researchers must never design a questionnaire first and then write research objectives based on the questions created.
Guiding Preparation Factors:
The specific nature and complexity of the information sought.
The demographic and behavioral characteristics of the target respondents, including their cognitive capacity and willingness to provide information.
The technical possibilities, reach, and inherent limitations of the chosen survey mode.
The Six Objectives of a Questionnaire:
Transform research objectives into operationalized, answerable questions.
Standardize questions so every respondent evaluates identical stimuli.
Motivate the interviewee to participate fully and answer candidly.
Serve as the central, verifiable database of the empirical field research.
Accelerate the workflow of data capture, processing, and statistical analysis.
Validate field work and assure operational quality control.
Structural Typology of Questionnaires:
Estructurado (Structured): Questions and potential responses are fully standardized, formalized, and preset; typical of quantitative surveys (encuestas).
No estructurado (Unstructured): Encompasses a series of topical areas to be addressed without being strictly predetermined as formal question scripts or chronological sequences; applied in group dynamics, focus groups, and in-depth interviews.
Semi estructurado (Semi-Structured): Employs an outline guide (guión) featuring main questions in a recommended chronological order, but allows the interviewer flexibility to alter phrasing or explore issues dynamically; used extensively in in-depth interviews.
Methodological Steps for Questionnaire Construction and Administration Modes
Systematic Steps to Elaborate a Successful Questionnaire:
Define the Research Objective (Definir el objetivo de la investigación): Clarify what needs to be discovered (such as consumption habits, customer satisfaction levels, or purchase intentions). Example: Determining consumer preferences when selecting a commercial coffee brand.
Identify Population and Sample (Identificar a la población y muestra): Define who will be surveyed (youths, adults, existing clientele, or prospective customers). Example: Active customers who purchase coffee at least once per week.
Design Structural Blueprint (Diseñar la estructura del cuestionario):
a) Introduction: Clarify the study's purpose and explicitly assure data confidentiality.
b) Filter Questions (Preguntas filtro): Screen and validate that the participant strictly belongs to the target profile.
c) Main Questions (Preguntas principales): Directly operationalize the core research objectives.
d) Demographic Data (Datos demográficos): Collect background information such as age, sex, and income level.
Draft Questions (Redactar las preguntas): Compose items that are crystal clear, fully neutral (avoiding leading phrasing), and effortless to answer.
Select Question Formats (Elegir el tipo de preguntas):
Closed questions: Offer set categories, streamlining statistical analysis.
Scales: Measure the intensity, degree, or frequency of attitudes.
Open questions: Grant complete response freedom to deepen qualitative insights.
Organize Logically (Ordenar de forma lógica): Open with simple, broad, and general items, transition toward technical and specific inquiries, and reserve personal demographic queries for the end.
Survey Administration Modes (Modos y Técnicas de Aplicación):
Encuesta telefónica personal o automatizada: Personal or automated interactive telephone surveys.
Encuesta cara a cara en punto geográfico (personal): In-person intercept surveys deployed at specific physical venues or geographic intercept points.
Encuesta cara a cara en hogar (personal): Door-to-door in-person household interviews.
Encuesta autoaplicada: Self-administered surveys delivered through postal mail, email, or online digital platforms.
Comprehensive Anatomical Structure of a Questionnaire
The Five Classical Sections of a Complete Questionnaire:
Solicitud de Cooperación / Identificación (Cooperation Request / Introduction):
An opening text that outlines the core objective of the investigation, references the collaborative role of the respondent, thanks them for their dedicated time, and underscores the social or scientific relevance of the research topic.
Must explicitly guarantee total anonymity and confidentiality, building rapport and encouraging honest responses.
Institutional Example: "Buenos días/tardes, somos estudiantes de la UACJ realizando un estudio de mercado sobre los gustos de los juarenses en comida rápida." (Good morning/afternoon, we are students from UACJ conducting a market research study on the fast-food preferences of Ciudad Juárez residents).
Instrucciones de Llenado (Completion Instructions):
Clear, explicit instructions prepared both for the interviewer (detailing delivery method) and the self-completing respondent (detailing completion and submission).
Explicit skip patterns and conditional branching must be delineated clearly.
Practical Example: "1. ¿Qué tipo de cerveza prefiere consumir, clara u oscura? Clara ( ) Oscura ( ) -> (Si contestó 'oscura' terminar la encuesta)" (If the respondent selects "dark", terminate the interview immediately).
Información Solicitada (Requested Information Area):
The core body containing drafted queries and formatted spaces to register responses.
Structured internally from Datos Generales (general queries) to Datos Específicos (specific queries).
Datos Demográficos (Demographic Data):
Standard classificatory items encompassing age, sex, income, marital status, and occupation.
Typically administered at the conclusion of the survey instrument.
Área de Identificación (Identification Area - Technical Meta-Data):
Formally positioned at the header or the trailing edge of the form depending on interview dynamics.
Captures respondent identification parameters (name, address, telephone number) along with operational field controls: interview date, interview start/end time, interviewer name, and unique interviewer identification code.
Practical Project Example:
Project Name: Estudio de lealtad hacia una marca de cerveza (Beer Brand Loyalty Study).
Client: Cerveza Guerrero.
Sample Target: Men aged to years who consume beer.
Objective: Identify the purchase probability of Cerveza Guerrero compared to competing brands, correlating purchasing patterns with the socioeconomic status of the consumer.
Standardized Sequence of Question Flow:
Filter Questions (Preguntas filtro): Screen respondents instantly against predefined screening criteria.
Introduction / Warm-up Questions (Preguntas de introducción): Non-threatening, broad items designed to ease participants into the study domain.
Transition Questions (Preguntas de transición): Smooth shifts connecting general topics to central study variables.
Complicated or High-Difficulty Questions (Preguntas complicadas o con dificultad): Demanding, deep analytical queries positioned after rapport has been established.
Demographic Questions (Preguntas demográficas): Non-intrusive classificatory variables located at the instrument's close.
Handling Personal Information: Personal queries (e.g., employment status, age brackets) must respect privacy by demanding only necessary data and detailing why they are collected.
Inclusive Gender Question Design: Inquiring about gender identity demands sensitivity and inclusivity. Recommended standard format:
Question: ¿Cuál es su identidad de género? (What is your gender identity?)
Options: Masculino (Male), Femenino (Female), No binario (Non-binary), Otro (por favor, especifique): ______ (Other - please specify).
Essential Rules, Design Guidelines, and Pitfalls in Question Construction
Mandatory Norms: What Questionnaire Questions MUST Do (DEBEN):
Focus exclusively on a single topic or dimension.
Exhibit clarity, precision, and conciseness.
Be formulated so they are interpreted identically by all respondents.
Be drafted strictly in the natural vernacular and language register of the respondent.
Feature simple, accessible phrasing.
Prohibitions: What Questionnaire Questions MUST NOT Do (NO DEBEN):
Assume non-obvious criteria or obscure frames of reference (asumir criterios no obvios - marco de referencia).
Overstep or exceed the knowledge and personal experience of the interviewee.
Use an isolated specific example to stand for a broader general case.
Demand recall of information or details that the respondent cannot remember.
Force the respondent to guess or speculate answers.
Demand minute, confidential, or impractical details that cannot be provided.
Contain semantic or structural ambiguities.
Conflate multiple issues into a double-barreled question (two questions in one).
Steer, bias, or lead the respondent toward a particular answer (guiar al entrevistado - sesgo).
Incorporate loaded emotional words or ideological charges.
Case Analyses of Flawed Question Formulation:
Invasive/Uncomfortable Phrasing: Items must never embarrass or make respondents uncomfortable. Flawed Example: "¿Acostumbra a consumir drogas?" (Do you customarily consume illicit drugs?).
Double-Barreled Construction: Items must evaluate a single aspect. Flawed Example: "¿Planea usted viajar este año y trabajar el próximo?" (Do you plan to travel this year and work next year?). This conflates two distinct behaviors across different time horizons into a single response.
Leading and Inductive Phrasing: Items must not lead the respondent toward an affirmative stance. Flawed Example: "¿Usted si considera a Gabriel Quadri es el mejor candidato para dirigir nuestro país?" (Do you agree that Gabriel Quadri is indeed the best candidate to lead our country?).
Socially Desirable or Authority Bias: Items must never lean on institutional validation, dogmatic authority, or social pressure. Flawed Example: "La Iglesia considera que la píldora del día siguiente es abortiva, ¿Ud. usaría la píldora del día siguiente?" (The Church considers the morning-after pill to be abortive; would you use the morning-after pill?).
Typology and Classification of Survey Questions
Primary Criteria of Classification:
Degree of Response Freedom: Open versus closed (subdivided into dichotomous and multiple).
Degree of Response Premeditation: Spontaneous (espontáneas) versus suggested (sugeridas).
Degree and Type of Information Yielded: Items measuring concrete behaviors (conductas), internal attitudes (actitudes), or serving classification purposes (finalidad clasificadora).
Namakforoosh (2001) Typology:
Basadas en Hechos (Fact-Based Questions): Objective queries aimed at verifying concrete facts, behaviors, and social conditions.
De Opinión (Opinion Questions): Evaluative queries where the respondent articulates a personal viewpoint, judgment, or feeling regarding a specific topic.
Operational Classification of Question Forms:
Preguntas Abiertas (Open Questions):
The participant is given complete latitude to articulate ideas and respond using their own words.
Advantages: Simple to write; invaluable when potential response categories are unknown or insufficient; uncovers hidden nuances and underlying motivations; reveals genuine viewpoints; central to qualitative and exploratory research.
Disadvantages: Highly challenging to record systematically; complex, subjective, and labor-intensive to code and analyze quantitatively.
Preguntas Cerradas (Closed Questions):
Participants select among preset alternative choices.
Advantages: Extremely easy to code, formulate, and analyze statistically; minimizes cognitive burden on respondents; requires minimal completion time.
Disadvantage: Constrains and limits responses to predefined boxes.
Subcategories:
Dicotómicas (Dichotomous): Provide exactly two mutually exclusive alternatives. Example: "1. ¿Actualmente está desarrollando un proyecto de investigación? a. SI ( ) b. NO ( )".
Politómicas (Polytomous / Single Choice): Provide multiple alternatives, but restrict selection to a single response option. Example: "1. ¿Cuál es su comida rápida favorita? ( ) Pizza ( ) Hamburguesas ( ) Burritos".
De Respuesta Múltiple (Multiple Response): Provide multiple alternative categories where the respondent is permitted to select more than one choice. Example: "1. ¿Cuáles son sus dos actividades favoritas en un fin de semana? ( ) Museos ( ) Cine ( ) Teatro ( ) Conciertos".
Specialized Operational Formats:
Preguntas Filtro (Filter Questions): Disqualify ineligible subjects or execute branch routing. Example: "¿Consumes café al menos una vez por semana? Sí / No (si responde 'no', termina la encuesta)".
Preguntas Mixtas (Mixed Questions): Combine closed categorical selections with an open-ended qualifier (e.g., Other, please specify).
Preguntas de Rango o Intervalos (Range or Interval Questions): Elicit numerical estimates without forcing respondents to provide overly exact figures (e.g., income, behavior frequencies). Rules: Set clearly defined minimums and maximums, avoid overlapping brackets, and match categories to research objectives.
Frequency Example: "¿Con qué frecuencia desayunas a la semana? 1-2 veces / 3-4 veces / 5-7 veces".
Willingness to Pay Example: "¿Cuánto está dispuesto a pagar por una pizza? 50 a 100 pesos / 101 a 150 pesos / 151 a 200 pesos".
Preguntas de Escala de Orden de Clasificación (Rank Order Scale Questions): Allow respondents to order a set of items, products, or brands relative to one another based on preference or a specified attribute.
Example: "Por favor, clasifica (1-3) lo siguiente en orden de interés: Surfear [ ], Esquiar [ ], Escalar [ ]".
Preguntas de Asociación (Association Questions): Relate brand entities to distinctive perceptual attributes in a matrix grid.
Practical Matrix Example:
Attributes: Potente (Powerful), Rápida (Fast), Estable (Stable).
Brand Columns: Honda, Suzuki, Yamaha.
Measurement Theory and Scales of Measurement
Measurement vs. Scaling (Medición vs. Escalamiento):
Medición (Measurement): The systematic assignment of numbers or symbols to the characteristics of objects following predetermined mathematical rules.
Escalamiento (Scaling): The conceptual generation of a continuous spectrum or dimension along which measured objects are systematically positioned.
The Four Classical Measurement Levels:
Escala Nominal (Nominal Scale):
Numbers and labels serve solely as tags or labels to identify and categorize objects, establishing a one-to-one correspondence.
Mathematical property: Pure relation of equality or inequality ( or ). No logical ranking, order, or distance exists between classes.
Variables: Place of birth, gender identity, marital status, professions, establishment type, brand preference.
Practical Example: "Indique cuál de las siguientes marcas es su preferida: A. Mazda, B. Renault, C. Chevrolet."
Escala Ordinal (Ordinal Scale):
Numbers are assigned to objects to denote the relative extent to which an empirical property is possessed.
Mathematical property: Establishes a strictly ordered ranking ( or ). Categories are mutually exclusive, follow a logical progression, and represent qualitative improvements or hierarchies, though mathematical intervals between ranks are not equal.
Variables: Education levels, performance tiers (Excelente, Buena, Regular, Mala, Pésima), sports podium placements.
Practical Brand Ranking Example: "Por favor indique el orden de preferencia de estas marcas: Adidas [ ], Nike [ ], Puma [ ], Reeboock [ ]".
Escala de Intervalo (Interval Scale):
Numbers classify objects such that mathematically equal numerical intervals represent equal distances in the measured attribute.
Mathematical property: Establishes order and quantitative distance. Differences between values are constant in magnitude. However, it lacks an absolute or true zero point (zero is arbitrary).
Variables: Celsius temperature, standardized achievement test scores, numerical evaluation ratings from to .
Escala de Razón (Ratio Scale):
The highest, most mathematically complete level of measurement. Possesses all properties of nominal, ordinal, and interval scales, while incorporating a true, non-arbitrary absolute zero point representing total absence of the measured trait.
Mathematical property: Ratios between values are meaningful (e.g., is twice as heavy as ). Enables multiplication, division, and computation of ratios.
Variables: Chronological age, physical weight, height, monetary sales, number of children, commuting distance from home to workplace, number of patients treated.
Attitude Measurement, Scaling Models, and Multi-Item Instruments
Attitude Measurement Foundations:
Definition: Attitude scales are psychometric instruments designed to evaluate the affective variability and orientation of individuals toward a given psychological object.
Theoretical Concept: Attitudes represent an individual tendency to react positively or negatively toward a designated social value.
Analytical Nature: In empirical research, attitudes are analyzed not as concrete physical facts, but as underlying psychological symptoms (síntomas).
Core Components of Attitudes:
Componente Afectivo (Affective Component): Evaluative emotional preference and affinity.
Componente de Comportamiento (Behavioral Component): Conative intentions, product purchase patterns, and active usage habits.
The Likert Scale (Escala de Likert):
Historical Development: Formulated by Rensis Likert in .
Structure: Comprises a battery of items formulated as declarative statements designed to measure a subject's reaction across , , or structured response categories.
Administration: Respondents indicate their level of agreement or disagreement with the statement. The standard five-point range spans from (muy en desacuerdo / strongly disagree) to (muy de acuerdo / strongly agree).
Satisfaction Variant: Frequently deployed using smiley faces or verbal labels across 5 categories: Not at all Satisfied, Slightly Satisfied, Neutral, Very Satisfied, Extremely Satisfied.
Functional Applications: Field research technique measuring individual opinions, task difficulty, perceived importance, frequency of behaviors, or probability of future actions.
The Semantic Differential Scale (Diferenciales Semánticos):
Structural Design: Operates through a continuum anchored by pairs of diametrically opposed, bipolar adjectives or statements.
Automotive Evaluation Matrix (Nissan Vehicle Brand Image):
Tienen un diseño avanzado ( ) ( ) ( ) ( ) ( ) ( ) ( ) Su diseño es anticuado
Consumen mucha gasolina ( ) ( ) ( ) ( ) ( ) ( ) ( ) Consumen poca gasolina
Se descomponen poco ( ) ( ) ( ) ( ) ( ) ( ) ( ) Se descomponen mucho
Son ruidosos ( ) ( ) ( ) ( ) ( ) ( ) ( ) Son poco ruidosos
Su mecánica es simple ( ) ( ) ( ) ( ) ( ) ( ) ( ) Su mecánica es complicada
Best Practices for Questionnaire Length, Optimization, and Pilot Testing
Managing Questionnaire Length and Complexity:
Negative Impact of Questionnaire Bloat: An excessive number of questions deteriorates response quality, increases cognitive fatigue, and raises survey abandonment and abstention rates.
Maximum Question Threshold: As a general rule, a questionnaire should not exceed questions (subdivided into sub-items where strictly necessary).
Audience Alignment: The operational challenge is not merely the raw number of questions, but rather the intrinsic interest or disinterest elicited by the instrument among respondents.
The Essential Researcher Self-Check: When designing each item, the researcher must ask: "¿Qué haré con la respuesta a esta pregunta? ¿Para qué me sirve?" (What will I do with the answer to this question? What purpose does it serve?). If an item lacks an analytical application, it must be removed.
Technical Polishing and Pilot Testing Protocol (Pulir el Cuestionario):
Thorough Draft Review: Examine the preliminary draft to detect ambiguities, syntax defects, superficial questions, missing variables, or suboptimal question ordering.
Pilot Test Administration: Conduct an authentic pre-test with friends, peers, or target proxies under realistic field conditions, recording completion time.
Cognitive Debriefing: Interview pilot respondents regarding their cognitive response process: what they understood, what criteria they evaluated to respond, potential alternative response choices, and how they would phrase the item.
Logic Verification: Following textual edits, review and verify all conditional branching logic and skip instructions (instrucciones de salto).
Technical Drafting and Formatting Guidelines:
Assign a formal descriptive title and unique identification number at the beginning.
Include the exact date of survey administration.
Never force respondents to answer with mere guesswork or speculation, as this introduces noise into the data.
Clearly specify the exact person or entity referred to in each question.
Ensure completion duration is kept concise, as longer durations directly reduce the quality of collected responses.
Clearly number all questions sequentially.
Embed numerical codes directly into response choices to expedite subsequent database coding.
Visually distinguish instructions meant for the field interviewer from instructions meant for the respondent.
Provide sufficient physical space on paper forms to write complete responses.
Conclude the instrument with a formal statement of gratitude.
Institutional Regulation: AMAI and Market Research Standards
Institutional Profile of AMAI:
Identity: Founded in , the Asociación Mexicana de Agencias de Investigación de Mercado y Opinión Pública (AMAI) is the sole professional entity unifying the Mexican market research and public opinion industry.
Market Coverage: AMAI brings together the leading market research agencies in Mexico, whose members account for approximately three-quarters ( or ) of the total national research market.
Key Historical Milestones:
Annual Research Congress: Organized continuously since the association's founding in .
Training Workshops: Beginning in , AMAI instituted an annual series of specialized training workshops (ronda de talleres de capacitación).
Industry Self-Regulation: In , AMAI launched a comprehensive self-regulation and quality assurance framework (proceso de autorregulación y calidad) across the Mexican market research industry.
Questions & Discussion: Academic Community Forum Exchange
User Inquiry (Andrea Hernandez):
Inquiry Post: Posted a request for assistance: "Tengo unaa ayuda".
Peer and Student Responses:
Andrea Hernandez (Author): Followed up in the thread: "Valentina Portillo si se te aviso jeje Me acercaré a mi coordinación" (Indicating she would visit her academic program coordination office).
Cecilia Yépe: Provided administrative guidance: "Te puedes acercar al área de servicio social, en el segundo piso del edificio G" (You can visit the social service office, located on the second floor of Building G).
Alondra Gobea: Clarified administrative procedures: "Me parece que solo ir abrir tu servicio social. Aun que no te inscribas (agarres una materia) sigue apareciendo tu Estatus activo asi que solo seria hacer el tramite del servicio" (Explaining that one only needs to formally open their social service file, as student status remains active even without enrolling in classes).
Platform Meta-Data: Active user interface element: "Comentar como Giselle Ordaz".