Grants:評価/学習モジュール

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This page is a translated version of the page Learning and Evaluation/Archive/Learning modules and the translation is 33% complete.
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Learning Modules

評価プログラム 学習モジュール メニュー

評価プログラム・学習モジュールへようこそ！

To help you build and create great programs, we have begun to produce a set of learning modules. These learning modules provide information on the processes for evaluating Wikimedia-related programs as well as step-by-step tutorials for using Wikimedia's online tools. We welcome any feedback on the Talk Page!

下の緑のボタントレーニングが開始されます。その下には、学習モジュールの構造を示しています。

学習モジュール

Program Evaluation Basics

Wikimetrics

Stop x nuvola.svg As of 2019-03-25 Wikimetrics is inoperative. See Phabricator task. Please use https://eventmetrics.wmflabs.org instead to get metrics for your event.
パート1. ウィキメトリックス概要
Wikimetrics Training Overview
ウィキメトリックスとは何か？
Data organization of Wiki pages
Program vs Project
How does Wikimetrics Work?
Data Analysis with Wikimetrics
Available Metrics
パート2. あなたのコーホート・ファイルを作成
コーホート・ファイル
利用者名、利用者ID、コーホート
Collecting your Cohort
Obtaining Consent
Cohort Upload Options
Cohort File Format
Cross Project Cohorts
パート3. ウィキメトリックス・ツールの使用
Logging into Wikimetrics
コーホートのアップロード
Name your cohort
Cohort Description
Set Default Project
Upload File
Cohort Validation
Invalid Users
Remove Cohort
Create Report
Video: Upload Cohort
Create Analysis Report
Pick Cohorts
Pick Metrics
1. Bytes Added
2. Edits
3. Pages Created
4. Threshold
5. Survival
Important Tips and Tricks
Configure Output
Run Report and Report Output
Video: Run Report
Cohort Storage and Sharing
Using your new data
Conclusion
Questions and Troubleshooting
フィードバック

Survey Design

Part 1: Introduction

Welcome!
Why Survey?
Why Surveys Are Useful
Constructs
Operationalize
Survey instruments
Types of information
Attributes - a special case
Survey Objective and Planning

Part 2: Reliability & Validity

Reliability & Validity
Reliability
Validity
Face Validity
Content Validity
Criterion Validity
Construct Validity

Part 3: Question Construction

Writing Good Questions
Questions from Existing Surveys
Constructing your own Questions
Be Specific
Be Concise
Avoid Double Negatives
Minimize Social Desirability Bias
Avoid Double-barreled questions
Avoid abbreviations, jargon, technical terms, or slang
Avoid leading questions
Avoid loaded questions
Use appropriate wording
Ask useful questions
Rely on second-hand data sparsely
Use caution when asking personal questions

Part 4: Response Options

Question types
Fill-in-the-blank
Dichotomous pairs
Multiple choice
Check all that apply
Ranking
Scales
Choosing response options

Part 5: Questionnaire structure

Important considerations
Questions order
Additional Resources
Feedback

Monitoring, Tracking and Reporting

Logic Models

Coming soon!

Appreciative Inquiry

Coming soon!

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